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Review

WWOX-Related Neurodevelopmental Disorders: Models and Future Perspectives

by
Daniel J. Steinberg
and
Rami I. Aqeilan
*
The Concern Foundation Laboratories, The Lautenberg Center for Immunology and Cancer Research, Department of Immunology and Cancer Research-IMRIC, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91120, Israel
*
Author to whom correspondence should be addressed.
Cells 2021, 10(11), 3082; https://doi.org/10.3390/cells10113082
Submission received: 30 September 2021 / Revised: 28 October 2021 / Accepted: 3 November 2021 / Published: 9 November 2021
(This article belongs to the Special Issue WWOX: A Fragile Tumor Suppressor with Pleotropic Functions)

Abstract

:
The WW domain-containing oxidoreductase (WWOX) gene was originally discovered as a putative tumor suppressor spanning the common fragile site FRA16D, but as time has progressed the extent of its pleiotropic function has become apparent. At present, WWOX is a major source of interest in the context of neurological disorders, and more specifically developmental and epileptic encephalopathies (DEEs). This review article aims to introduce the many model systems used through the years to study its function and roles in neuropathies. Similarities and fundamental differences between rodent and human models are discussed. Finally, future perspectives and promising research avenues are suggested.

1. A Brief Introduction to WWOX in the Central Nervous System

The goal of the vast field of neuroscience is to enhance our understanding of the complex apparatus and mechanisms composing the nervous system [1]. Two approaches to achieve this, which are not mutually exclusive, are the study of its normal development and function and the study of “when it goes wrong”, i.e., the study of neuropathology.
The WW domain-containing oxidoreductase (WWOX) gene is gaining increasing attention for its possible role in both normal central nervous system (CNS) development, and its involvement in neurological diseases [2,3,4,5,6,7,8,9]. The WWOX gene was first discovered in the early 2000s due to its colocalization in the chromosomal common fragile site (CFS) FRA16D associated with cancer [10], which in turn led to thorough investigations of its role in tumor suppression, DNA damage response, metabolism, and cellular homeostasis, among other functions [11,12,13,14,15]. A murine ortholog was also cloned which allowed its study in rodent models [16].
The human WWOX gene spans 1.1 Mb but due to its large introns, translates into a 2.2kb mRNA and a 1.245kb ORF encoding a 46 kDa protein composed of 414 amino acids [10,17]. The protein contains two N-terminal WW domains (referred to as WW1 and WW2) and a catalytic domain in the C-terminus, which is homologous to short-chain dehydrogenase/reductase (SDR) family proteins [10,16,18], although its substrate is currently unknown [19]. These domains allow WWOX to interact with many partner proteins, effectively functioning as an adaptor protein and as a transcriptional repressor, all of which are reviewed elsewhere [12,20,21,22].
Although the WWOX protein can be found in many tissues, it is highly expressed in the brain, with variable expression during different stages of embryogenesis and postpartum maturation [3,8,23,24]. This has led to a working hypothesis that WWOX has a central role in CNS development and homeostasis and, by extension, that its loss can lead to neurological disorders. This review aims to discuss the different models made available through the years to study WWOX-related developmental and epileptic disorders and possible treatment avenues that became reachable through these models. It is, however, crucial to understand that WWOX has been associated with many other disorders such as autism-spectrum disorders (ASD), Alzheimer’s disease (AD), Parkinson’s disease (PD), and multiple sclerosis (MS), the models of which will be briefly reviewed.

2. Rodent Models of WWOX Loss-of-Function

2.1. Rats

In late 2007, Suzuki et al. published a rat model that presented with severe dwarfism, early postnatal lethality, and high incidence of seizures (characterized as wild running that progressed to generalized tonic-clonic epileptic seizures), and was therefore termed Ide/Ide rats (lethal dwarfism with epilepsy). This model was derived through experimental inbreeding that resulted in a spontaneous mutation in an unknown gene, which in 2009 was revealed to be a 13 bp deletion in exon 9 of the Wwox gene. The mutations were inherited in an autosomal recessive manner and severely decreased the WWOX protein expression in the hippocampus [25,26].
The affected rats demonstrated growth retardation beyond the age of 3 days postnatally, a relative increase in the brain weight (approximately 5.2 ± 1.4% of the body weight in the Ide/Ide rats compared to 2.5 ± 0.25% in normal rats), ataxic gait (95% of the studied rats), and audiogenic epileptic seizures (34% spontaneously, 95% following sound stimulation via a cage speaker), with early lethality starting by the age of 21 days (100% of the affected rats died between the ages of 77–84 days). Electroencephalography (EEG) recordings revealed low wave complexes at low-frequency ranges (5–6 Hz) during clonic convulsions, and sporadic interictal spikes (at about 10 Hz), which were greater in the occipital than in the frontal electrodes. Histologically, extracellular vacuoles were present in the amygdala and hippocampus of affected rats [25,26]. Interestingly, analysis of the rats’ testis revealed decreased WWOX expression, accompanied by testicular size abnormalities, increased apoptosis of germ cells, lack of spermatocytes, and immature Leydig cells [25,26,27]. Additionally, biochemical abnormalities were found in the analyzed blood, including increased concentrations of plasma urea nitrogen, creatinine, and inorganic phosphate, as well as decreased concentrations of plasma growth hormone [25]. At this time point, rats were also used to study the role of WWOX in sciatic nerve transection [28], in a study that found Wwox to be a key determinant in the crossroad when “choosing” between neuronal survival and death. This could occur through interactions with important transcription factors found in-vitro, such as CREB, AP-1, c-JUN, Elk-1, and NF-kB. Later on, its role was expanded in the study of traumatic brain injury, showing increased complex formation of WWOX/Hyal-2 and accumulation in the apoptotic nuclei of neurons [29]. This supported in-vitro data that showed WWOX acting as a bridge for Hyal-2 and Smad4 interaction and promoting bubbling cell death (BCD).
Further research into the Ide/Ide rats came approximately 10 years later, with the Suzuki group performing immunobiological analysis of both wild-type and mutated rodents. The group reported that under normal conditions, at day 21 post-natal, WWOX expression could be detected in the cerebral cortex, hippocampus, corpus callosum (CC), diencephalon (thalamus, hypothalamus, habenular nuclei), internal capsule, cerebellum, brain stem, spinal cord, and olfactory bulb. Interestingly, the expression was mainly apparent in the layers II-III and V of the wild-type rodent cortex and the white matter [30]. Examination of Ide/Ide rats led to several interesting observations: first, WWOX expression was diminished in all the sites mentioned above, and second, WWOX mutations led to several changes in cardinal cellular populations in the brain. From the neuronal standpoint, although unchanged in numbers, the neurons (marked by neuronal specific nuclear protein NeuN) had reduced neurite growth, which was attributed to abnormal neuronal differentiation. As for the glial cells, the myelin content (marked by MBP and CNP) and the number of oligodendrocytes (marked by APC) were found to be reduced in the cortex and CC, together with significantly lower numbers of astrocytes (marked by GFAP) and microglia (marked by IBA-1) [30]. The latter is of particular interest for the well-documented astrogliosis and microglial activations that usually accompany seizures [31,32,33,34,35,36,37]. Furthermore, despite the reduction in the number of neurites, glial cells, and myelination, the group reported no change in cortical thickness [30].
Next, Iacomino et al., (2020) examined lde/lde rats at postnatal day one and found a reduced number of foliations in the cerebellum, and impaired neuronal migration of late-born neurons in the cortical plate, and defected cortical layers formation [38].
The comprehensive work on Ide/Ide rats has substantially increased our knowledge of WWOX in the rodent CNS, but at the time of writing this review, lacked the mechanistic dissection of its role. More light in this matter was shed by the rat’s distant cousin—the mouse.

2.2. Mice

The first indication for the role of WWOX in the mouse brain came in early 2004 by the Chang group, who reported differential expression in different brain areas during the stages from development from E9 up to adulthood [24]. For example, in the telencephalon and its structures, WWOX was detected as early as E12, with relative peak levels seen in the adult cortex. In contrast, in the diencephalon, WWOX expression was reproducibly detected only around E16-E18 at low-moderate levels, and in the choroid plexus, it was detected at E14 with gradually increasing levels until adulthood.
Aldaz and Hussain reviewed mRNA data from publicly accessible mouse in-situ hybridization (ISH) and RNA sequencing (RNA-seq) results [8]. Briefly, data from the Allen Mouse Brain Atlas found high Wwox expression in the dorsal zone of layer II of the medial entorhinal cortex (a region in the hippocampal formation), and in the anterior and posterior regions of the basolateral amygdalar nuclei in the cortical subplate. Wwox was expressed to a much lesser extent in the somatosensory and somatomotor cortices, and the cerebellar cortex. An RNA-seq dataset from postnatal day 7 (P7) mice showed uniform expression in neurons and all glial cell types, with abundant expression in oligodendrocyte progenitor cells (OPCs) and in mature myelinating oligodendrocytes (mature OLs). An important note is the stable expression of Wwox in microglia cells, which is upregulated upon lipopolysaccharide (LPS) injection and induction of inflammation.
At the single-cell level, when analyzing single-cell RNA-seq (scRNA-seq) data from the DropViz database (http://dropviz.org/), Wwox expression seemed to vary between neuronal subtypes and regions (in the cerebellum for instance), and Wwox was expressed most in interneurons and granule cells. In the cortex, it is most seen in deep-layer pyramidal neurons (specifically from layer V). In the hippocampus, Wwox-expressing neurons were found in the medial entorhinal cortex. Other non-neuronal cell types that express high Wwox transcripts were ependymal cells and choroid plexus cells. Wwox expression in the mouse brain is summarized in Figure 1.
It was not until 2007 that Aqeilan et al. introduced the first rodent model for Wwox mutations (as the Ide/Ide rats were only associated with WWOX in 2009) in the form of the Wwox-null mice [11]. This highly anticipated model, which is sometimes referred to as the “conventional null mice” was obtained by targeted disruption of a 6 kb section of the Wwox genomic sequence, including exons 2,3, and 4. Briefly, a targeting cassette containing in-frame sequences for the LacZ and Neo genes and two genotyping probes, flanked by homology arms, were electroporated into mouse embryonic stem cells (mESCs). The result was congenic B6-129 mixed genetic background mice harboring the disrupted gene, which could then be bred with the genotype of the born pups following classic mendelian ratios. As reported in the original paper and follow-up publications, the mice suffered from growth retardation, alterations in serum levels of proteins, carbohydrates, calcium, and lipids, osteopenia, bone metabolic defects, high tumor burden, and eventually from postnatal lethality [39]. Similar to rats, low levels of WWOX were also associated with impaired steroidogenesis and gonadal abnormalities [40,41].
These phenotypes were validated in a second generation of Wwox-null mice, referred to here as conditional null mice, reported by Ludes-Meyers et al., [42]. The researchers further observed bone impairment, growth retardation, metabolic and hematologic defects, and a short lifespan. Here the approach was different. The use of the Cre-LoxP system in C57Bl/6 background mice resulted in a flanked exon 1 and Cre-recombinase expressed under the general EllA promotor. A similar approach was taken, and validated the recapitulation of the original null phenotype in a conditional knock-out (KO) system, by Abdeen et al., [43]. This model has allowed for vast research underlining the role of WWOX in many tissues and different types of cancer, some of which can be found in [44,45,46,47].
Another noteworthy model for WWOX mutations in mice is the Wwox hypomorphic mice [41], a model that was published soon after the conventional null mice. In these animals, the WWOX transcript levels were attenuated using gene-trap technology that was inserted into exon 4 of mESCs clone XG218. This manipulation generated a Wwox splice variant containing exons 1–4 spliced in-frame with the β-geo gene, a WWOX protein lacking the SDR domain and, overall, a 95% reduction in Wwox mRNA levels in the homozygous mice and concordant reduction in protein levels in most, but not all, tissues. These mice are fundamentally different from the null mice, both in the gene expression, but also in the observed phenotypes. Although testicular defects were observed, the above-mentioned bone abnormalities were not. Furthermore, although lifespan was reduced compared to the control mice, it was significantly prolonged compared to the null mice, and these mice were reported to suffer from a higher burden of B-cell lymphomas (only in females). Interestingly, no neurological-related phenotypes were reported in the Wwox hypomorphic mouse model, suggesting the minute expression of WWOX in the brain, which was not assessed [41], could be enough to maintain normal CNS function.
Despite the extensive aforementioned research, the next advancement in the neuroscientific research of WWOX came in late 2014 when, among other important discoveries expanded upon later, the first association between Wwox mutations and CNS abnormalities in mice was published [48]. The researchers recapitulated the epileptic phenotypes described in Ide/Ide rats in the conditional null mice and reported both spontaneous and audiogenic seizures. The convulsions started around 2-weeks of age postnatally and were described as wild running and jumping, progressing to tonic-clonic movements of the limbs and tail, followed by a lethargic post-ictal stage. KO mice also presented with balance disturbances, implying an ataxic phenotype.
About four years later, this mouse strain was subjected to deeper investigations [49]. First, the inhibitory interneurons population of the hippocampus was examined, which showed a significant reduction in parvalbumin (PV) expressing neurons in the dentate gyrus (DG) and CA1 regions. There was an additional 30% reduction in Neuropeptide Y (NPY) expressing GABAergic interneurons that was limited to the DG. In concordance with this, quantification of the glutamate decarboxylase isoforms GAD65/67 showed a marked reduction as measured by immunoblot analysis. Interestingly, in contrast to the rat-derived data, the hippocampus showed signs of neuroinflammation, as observed by mild microgliosis (IBA-1 staining in CA1, CA3, and entire hippocampus) and astrogliosis (GFAP staining in CA1, CA3, and entire hippocampus). Furthermore, the researchers isolated neural stem cell (NSC) neurospheres from WT and Wwox-KO hippocampi and performed bulk RNA-seq. Comparative transcriptomic analysis demonstrated 283 differentially expressed genes (log2 FC > ± 1, p-value < 0.005, FDR < 0.05), of which 184 transcripts were up-regulated and 99 were down-regulated in KO samples. Ingenuity Pathway Analysis (IPA) identified the dysregulated genes to be related to ‘nervous system development and function’, ‘neurological disease’, ‘epilepsy’, ‘seizure disorder’, ‘cognitive impairment’ and ‘neurodegeneration’. Genes were identified that were implicated in epilepsy and validated them using RT-PCR in the whole hippocampus.
In 2020, Cheng et al. published two new strains of Wwox-KO mice using the Cre-LoxP system in mESCs before blastocyst injection. One mimicked the previously published genomic editing in conditional null mice by targeting exon 1, and the other the conventional null mice by targeting exons 2-4 [50]. First, they assessed cerebellar function. Although the test did not find any significant differences between WT and heterozygous mice, the null mice suffered from gait ataxia and severe impairment in motor coordination, grip strength, and balance. The cerebellum itself in the null mice had fused vermian lobules VI and VII, foliation defects in lobules V, VI, and VII, and partial loss of the Purkinje cells with diminished expression of calbindin around postnatal day 20. A TUNEL assay showed increased apoptotic cells in the granular layer of the cerebellum.
Next, to test the integrity of the motor system, transcranial motor evoked potentials (TcMEP) were recorded. In this procedure, the motor cortex is provoked, and the signal propagated through the corticospinal tract is monitored by recording in a downstream muscle, such as the plantar muscle in the forelimb. The null mice had a significant reduction in the amplitudes of TcMEPs and prolonged onset latency. Surprisingly, although the mean amplitude of TcMEPs recorded in the heterozygous mice was comparable to WT mice, the TcMEP latency was prolonged almost to the same extent as in the null mice, which might point to a possible consequence of Wwox haploinsufficiency. Then, histological and transmission electron microscopy (TEM) assessment of the peripheral nervous system (PNS) through semi-thin transverse sciatic nerve sections revealed that even though the axonal organization and total nerve fibers were similar between experimental groups, the axons themselves were abnormally shaped and thinner with reduced axoplasm. This was accompanied by reduced endoneurium space, thinner myelin sheath, detachment of myelin lamellae, and increased apoptosis of Schwann cells (as seen by immunoelectron microscopy).
This was followed by an examination of the CNS. Luxol fast blue (LFB) staining of myelin revealed reduced intensity in the commissural fibers (CC, hippocampal commissures), the association fibers (cingulum), the projection fibers emanating from the CC toward striatum, and the internal capsule, therefore affecting neuronal transmission tracts both inside a specific hemisphere, between hemispheres and from the cortex to the thalamus (both afferent and efferent). Furthermore, hypomyelination with atrophy of the optic tract and cerebellar foliar white matter was observed.
A noteworthy phenotype that was observed by this group was a middle interhemispheric fusion of the posterior frontal and parietal lobes, together with elongated roof plate and dorsal spinal cord malformation. This led to an examination of neuronal proliferation, migration, and differentiation. At E16.5, fewer proliferating (Ki67+) cells were seen in the neocortical subventricular zone (SVZ) and the cerebellum of Wwox-null mice. Additionally, reduced numbers of DCX+ cells, an early neuronal differentiation marker, were found when staining at E12.5, which supports the notion of reduced neurogenesis. This led to another dispute with the rat-derived data, when Chang et al., reported that the overall cortical thickness was significantly reduced in Wwox-KOs at E16.5 [50]. It is important to note that the SVZ is defined by the presence of intermediate progenitor (IP) cells, which give rise to most of the cortical neurons in the murine brain [51]. This stands in contrast to human neurogenesis, in which a major contribution arises from a histological structure called the outer SVZ (oSVZ) [52,53,54]. This structure is underdeveloped in rodents compared to humans.
Migration status was assessed using a pulse of bromodeoxyuridine (BrdU) labeling during embryonic development in utero at E16.5. In contrast to the localization of BrdU+ neurons to the cortical plate (CP) in the WT mice, increased numbers of BrdU+ neurons were found throughout the neocortex of Wwox-null mice, with a large portion still residing in the ventricular zone (VZ) and SVZ. Postnatally, ectopic neurons could be found in the cortex of Wwox-KO mice. Importantly, of the neurons in the VZ and SVZ, a larger portion in the null mice were Ki67+, which suggested that those neurons might be less differentiated, in addition to poor mobility during neocortical development [50]. At postnatal day 14 in the DG null mice, DCX expression was maintained for longer and NeuN expression was late to appear (day 20), suggesting a differentiation delay. These neuronal migration abnormalities during development and heterotopia were associated by the group with increased neuronal excitability, epilepsy, and mild to moderate mental retardation in humans and mice [50]. The epileptic aspect of the group’s research is expanded upon in another segment of this review.
Another observation was increased neuronal apoptosis in Wwox-null mice [50]. Together with the reduced proliferation in the SVZ discussed above, these findings are very important because high WWOX expression is usually associated with enhanced apoptosis [16,55,56], and loss of WWOX is associated with reduced check-point inhibition [12,13,15,57].
Finally, to dissect the role of different cellular populations in the brain, Repudi et al. used the conditional null mice previously reported [43], but utilized cell-type-specific expression of the Cre-recombinase, thereby generating the cell-targeted Wwox-KO mice. The targeted populations were neural stem cells (NSCs; Nestin-Cre; referred to as N-KO), neurons (Synapsin-I-Cre; S-KO), astrocytes (GFAP-Cre; G-KO), and oligodendrocytes and oligodendrocyte progenitors (Olig2-Cre; O-KO). Remarkably, at the reported time frame, only two models recapitulated the phenotype of the Wwox-null mice: the N-KO, in which WWOX was deleted in NSCs and its progenies, effectively knocking it out in all the cellular populations of the CNS. The second model was the S-KO in which WWOX is mutated only in mature neurons. It is important to emphasize that N-KO and S-KO recapitulated both neurological phenotypes (such as ataxia and seizures), but also systemic phenotypes such as growth retardation, metabolic abnormalities, and premature death by about 4-weeks of age. This effectively proved the major role of neuronal-WWOX in the phenotypes of the null mice.
Thereafter, our group proceeded to assess the conditional Wwox-null mice, N-KO, and S-KO mice and performed RNA-seq. This analysis revealed pronounced down-regulation of myelin and OLs-related genes. More specifically, genes involved in maturation (Gjb1, Gjc2, and Olig1) and myelin development, maintenance, and functionality of OLs (Ermn, Ugt8a, Plp1, Otud7b, Mal, Eml1, Mobp, Hist1h2be, Cldn11, Mbp, Gal3st1, Fa2h, Gsn, Adamts4, Cnp, Mog, Oplalin, Enpp, Mag and Myrf). This was in line with previous data arising from both rats [30] and mice [50], proving the significance of this phenotype. As the presence of changes in OLs in a model that specifically ablates WWOX in mature neurons (S-KO) could seem peculiar, we further evaluated populational changes by using both electron microscopy, immunofluorescence, LFB staining, RT-PCR, single-nucleus RNA-seq (snRNA-seq), and OLs-neuron coculture experiments. All the methods mentioned above led to the conclusion that ablation of neuronal-WWOX causes severe hypomyelination and decreased numbers of mature OLs in a noncell autonomous manner. Surprisingly, the numbers of OPCs were increased, which might suggest the problem lies in the maturation step between OPCs and mature OLs, a step in which the paracrine involvement of neurons has already been implicated [58,59,60]. These findings were recapitulated in both the cortex and hippocampus.
Another important aspect of this study was the electrophysiological characterization. Local field potential (LFP) recordings in both live animals and brain slices demonstrated large amplitude bursting activity in S-KO, which was not present in the control, was localized to the superficial layer of the neocortex, and was attributed to hyper-excitability of the neocortical circuitry. Spectral power analysis showed increased power across many frequencies, such as the delta (< 5 Hz) and theta (5–9 Hz) rhythms, which have been implicated in epilepsy [61,62,63,64]. Another important finding was delayed signal conductance when stimulating in the CC and recording from neocortical layer V, which could be a result of hypomyelination. The connection between myelin abnormalities and susceptibility to seizures has been studied [65,66].
These revelations were expended upon by Breton and colleagues [67]. Recording from the neocortex of S-KO mice, spontaneous bursting was observed in both layer II/III and layer V; however, it was of larger amplitude in layer II/III as compared to layer V. Spectral analysis revealed the activity to be phase-amplitude cross-frequency coupled (PAC), corresponding to the coupling between theta (4–6 Hz) and high-frequency oscillations (100–400 Hz), as well as maximal coupling between delta (0.5–3 Hz) and gamma (30–90 Hz). By simultaneous recording from superficial and deep cortical layers and measuring the cross-correlation, propagation of the waveform was determined. More specifically, a low-frequency waveform (0.5–6 Hz) recorded in layer V lagged behind layer II/III, but not higher frequency oscillations, suggesting that the coherent activity of the low-frequency waveform predominantly propagated from superficial to deep cortical layers. Next, the generation of the spontaneous bursting events was studied using a whole-cell voltage clamp and selective pharmacological antagonists. Analyzing the reversal potential of pyramidal neurons supported the idea of excitatory currents dominance, probably glutamatergic. Accordingly, blocking glutamatergic neurotransmission with d-APV, a selective and competitive NMDA receptor antagonist, eliminated the spontaneous bursting event, with recovery after a washout step. In contrast, gap-junction blockade using CBX decreased the frequency and the duration of the bursting events, but not the amplitude, without recovery. Treatment with a specific gap-junction inhibitor, the pannexin blocker BB-FCF, did not recapitulate the effects of CBX, but did, however, shift the PAC from delta-gamma to delta-HFO ranges. Evaluation of miniature excitatory synaptic currents (mEPSCs) revealed increased amplitude but no significant changes to the frequency or decay time constant of mEPSCs (consistent with a postsynaptic mechanistic change), and with no overt change in the proportion of the NMDA: AMPA response. Monitoring the spontaneous excitatory and inhibitory postsynaptic currents (sEPSCs and sIPSCs) showed interesting results. While sEPSCs behaved similarly to mEPSCs and exhibited an increased probability of higher amplitude events but without changes in frequency, the sIPSCs were reduced in both amplitude and frequency for the S-KOs compared to controls, supporting a notion that Wwox-KO causes the neocortex to favor excitation over inhibition. Furthermore, injection of depolarizing current pulses into neocortical pyramidal neurons and interneurons was consistent with pyramidal neuron hyperexcitability but not in interneurons, which was supported by impaired membrane properties only in pyramidal neurons. Curiously, hippocampal slice preparations from control mice and S-KO mice were indistinguishable. One notable exception was when they stimulated in the stratum radiatum and recorded the population spike (PS) in the CA1 to CA3 direction; there was an elevated PS amplitude in the S-KOs as compared to WTs.
In conclusion, rodent models of Wwox loss-of-function can deeply enhance our understanding of neuropathology and the consequences of gene alterations. A wide variety of models exist, allowing research to evaluate these effects in both spontaneous mutations Ide/Ide rats, in global genetically edited knockdown (hypomorphic mice) and knockout (conventional and conditional null mice), and cell-type-specific Wwox knockout (cell-targeted KO mice). Although some differences arise between species and between models, the major phenotypes are recapitulated across groups and publications. Moreover, as some research highlights, the roles of WWOX in the context of cancer and tumor suppression are not always seen when studying the gene in the physiological, housekeeping context, as shown by the increased apoptosis and decreased proliferation reported by Cheng et al., [50]. This observation makes the study of the homeostatic role of WWOX in-vivo an absolute necessity. Altogether, these findings point to animal models as the gold standard for the study of WWOX-related brain disorders.

3. WWOX Loss-of-Function from the Human Perspective

3.1. WWOX in Human Neurodevelopmental Diseases

The discovery of the WWOX gene was made first in humans [10,18] and for many years its loss-of-function in humans was studied only in the context of its tumor suppression and adaptor protein functions [56,68,69,70,71,72,73,74,75,76].
In 2007, Gribaa et al. published a case report describing four patients from a consanguineous family from Saudi Arabia who suffered from early-onset generalized tonic-clonic epilepsy, ataxia, mental retardation, psychomotor delay, and learning disabilities, among other symptoms [77]. Importantly, the researchers were able to localize the source to the genomic locus 16q21-q23 through homozygosity mapping, but not to a specific gene. About 7 years later, Mallaret et al. published about another family, this time from an Israeli-Palestinian origin with two affected children, termed the disease as Spinocerebellar ataxia type 12 (SCAR12 syndrome) and, through studying both families, traced it back to the WWOX gene. Interestingly, both mutations were founder missense mutations (p.P47T and p.G372R).
Shortly after, Abdel-Salam et al., (2014) has published the case of a consanguineous Egyptian family of which two individuals were affected by WWOX mutation [78]. The index patient suffered from a nonsense mutation (p.R54*) leading to neonatal growth retardation, microcephaly, optic atrophy, severe psychomotor delay, and intractable epileptic seizures that started as early as 2 months of age. The upper and lower extremities showed increased tendon reflexes and flexor plantar responses, which are associated with chronic central nervous system disease and upper motor neuron damage [79]. Ophthalmological examination indicated delayed visual maturation, bilateral severe macular and optic nerve dysfunction [78]. Cranial magnetic resonance imaging (MRI) demonstrated supratentorial and cortical atrophy, hypoplasia of the hippocampus, CC, and the temporal lobe with consecutively widened subarachnoid space. The older sister of this patient was reported to be born with similar symptoms and died prematurely by the age of 3 months. Some very important observations were made – first, in contrast to the rodent data, the metabolic screen appeared normal. Second, there was no history of cancer in the older generation of the reported family, although some carried heterozygous mutations in WWOX [78].
This report was soon followed by the publications of six additional patients from the United Arab Emirates and Portugal suffering from this developmental and epileptic encephalopathy (DEE) [80,81], which harbored either homozygous microdeletions, deletions, and insertions-deletions (indels) in the WWOX gene. At this point, Mignot et al. proposed the name WWOX-related epileptic encephalopathy, or WOREE syndrome [81] (now also termed DEE28).
New cases are published every year from across the globe, expanding our knowledge regarding the disease’s features, such as affected populations, type of mutations, the defining symptomatology, and neurological abnormalities, and the age of onset, all of which have been extensively reviewed [2,82]. For example, Valduga et al. reported the first fetus with WWOX-null genotype, which presented with brain abnormalities on MRI and high rhythmic fetal movements [83], supporting the notion that WWOX germline mutations cause in humans neurodevelopmental disorders that start during embryonic development. Furthermore, most patients were reported with a compound heterozygous state [2,81,82,84,85,86], suggesting the disease can appear in non-consanguineous families. Finally, a few WOREE patients progressed into defined forms of epilepsy, such as West syndrome and Lennox–Gastaut syndrome, which expands its associated phenotypes [82,87].
Therefore, it is currently accepted to view SCAR12 and WOREE syndromes as a spectrum of disorders, with WOREE syndrome generally considered the more aggressive disease, associated with younger age of onset, more severe phenotype, and with premature death. Furthermore, it is associated with more extreme genetic changes, such as nonsense mutations, copy number variations (CNVs), and large-scale deletions [2]. This is in contrast to SCAR12, which is mainly associated with missense mutations [2,48]. Therefore, many claim a genotype-phenotype correlation [2,49,81,83,87].
The keen-eyed reader might notice that although the first description of neurodevelopmental consequences of WWOX mutations in humans preceded the mice research, data from the Ide/Ide rats “alerted” the medical field as early as 5 years before the first patient was described. Additionally, the first histopathological assessment was published only in 2020 [38], a period in time in which rodent data had already vastly accumulated. Therefore, one could say that WWOX research follows a “rodent to human” timeline.

3.2. The “Human Approach” to Disease Modeling of WWOX Loss of Function

3.2.1. Rationale

Modeling WWOX loss of function in rodents advanced our knowledge considerably, as could be appreciated from the previous sections of this review. Despite this, the genetic background and brain development of a specific patient cannot be modeled in a mouse and, so far, rodent models have used global ablation of WWOX expression, and as a result, they do not discriminate between the two syndromes. Therefore, in our opinion, the experimental data obtained need to be validated in human tissues, and we view these validations as an absolute necessity in order to advance patient care. One of the main issues is the accessibility of human CNS tissue, which is limited in general, and samples from WWOX-related neurological syndromes are even rarer. In the following section of this paper, we review the human systems available for the study of WWOX neurodevelopmental disorders and the data they yielded.

3.2.2. Human Tissue

Early research regarding WWOX expression in human tissue revealed expression of WWOX in the adult human nervous system including the soma and dendrites of neurons residing in the cerebrum (frontal and occipital cortices, caudate nucleus, and limbic system, all of which contained also WWOX-expressing astrocytes), pons, medulla and all three layers of the cerebellum [23]. In the PNS, WWOX was seen in autonomic ganglia and Schwann cells [23]. Low to negative expression was also observed in the parietal cortex, temporal cortex, and the substantia nigra. This was one of the earliest indications of WWOX involvement in the human nervous system.
The first and only paper to this date describing histopathological data from a WOREE patient came out in 2020 by Iacomino et al., [38]. The group studied the brain of a single fetus suffering from WOREE syndrome that was terminated at the 21st gestational week. MRI imaging found cerebellar vermis hypoplasia as the only macroscopic anatomical defect. Histologically, they reported abnormal formation of the developing cerebral cortex, anomalous migration of the external granular layer within the molecular layer (a phenotype that was validated also in Ide/Ide rats and WWOX knock-down NPCs [38]), disorganization of irregularly distributed glial trajectories and thin vascular network below in the external granular layer.
Kosla et al., took advantage of the deposited next-generation sequencing (NGS) data by the RIKEN-led FANTOM5 consortium to determine WWOX gene expression levels in different human brain regions. Briefly, generated full-length cDNA clones were sequenced as single-molecules, and using Cap Analysis of Gene Expression (CAGE) their frequencies were monitored and transcription initiation events were mapped at a single base-pair resolution. The result was a database containing sets of transcripts, transcription factors, promoters and active enhancers of many mammalian primary cell types and cancer cell lines annotated to provide precise location [88]. This analysis found that the highest expression of WWOX in the adult is detected in the CC, medulla oblongata and cerebellum, and that the lowest levels are seen in the postcentral and paracentral gyrus. Moreover, adults display greater WWOX expression in the brain as a whole than 20–33 weeks fetuses, almost by 2-folds.
In a 2020 review, Aldaz and Hussain [8] explored the Human Brain Transcriptome (HBT) and RNA-seq GTEx databases and found uniform transcript expression between brain regions from conception to adulthood in all depicted brain regions such as the cerebral and cerebellar cortices, hippocampus, amygdala, striatum, and mediodorsal nucleus of the thalamus. That being said, WWOX expression changes between developmental stages. In early embryonal life, expression is relatively high and then it slowly decreases during fetal development until birth. Postnatal WWOX expression increases gradually until adolescence and remains high. One possible explanation is a connection between cellular maturation in the CNS and WWOX expression. The authors highlighted the cerebellum for having the highest WWOX levels and the steepest increase in its expression throughout development. This contrasts with data from mouse brain taken from the Allen Brain Atlas that showed murine Wwox mRNA to be most expressed in the hippocampal formation and amygdala. WWOX expression in the human brain is summarized in Figure 1.

3.2.3. Cell Lines

Human neural progenitor cells (hNPCs). Kosla et al. studied human neural stem cells (hNSC), derived from H9 embryonic stem cells (hESC) [89]. As these cells were unable to differentiate to OLs and astrocytes under spontaneous differentiation conditions, they were deemed hNPCs. WWOX was silenced using shRNA – resulting in WWOX-knockdown hNPCs. Functional assays found reduced mitochondrial redox activity (in line with data from research in mouse models outside the CNS [14,90,91]), stronger adhesion to fibronectin, and lowered pro-MMP2 and pro-MMP9 metalloproteinase secretion. When cultured in 3D, cells that underwent WWOX knockdown, in contrast to control hNPCs, ceased to proliferate and differentiate and did not form cellular networks as complex as in the control cells.
This was followed by transcriptomic analysis by CAGE of both WWOX-knockdown hNPCs and WWOX-knockdown neurons (differentiated from the hNPCs). WWOX silencing caused differential expression of 2282 genes between control hNPC and WWOX knockdown hNPCs, and 7392 genes between the differentiated control neurons and WWOX-knockdown neurons. Gene ontology (GO) terms and gene-set enrichment analysis (GESA) identified these genes to be related to neural crest differentiation and migration, and to cell-cell adhesion present in the control hNPCs. Computing these results into the STRING database found that in neurons, these genes were related to neuronal migration, membrane proteins, cytoskeleton, and cell signaling. In the hNPCs, the most significant upregulated genes were related to signaling and chromatin remodeling. Finally, Principal component analysis (PCA) for all groups (hNPCs and neurons) implicated oxidative catabolism and oxidative stress genes as the main source for partitioning between WWOX-depleted and intact WWOX cells.
Iacomino et al. re-analyzed this transcriptomic data, focusing on genes associated with neuronal migration and differentiation, and found reduced expression of some neural migration-related genes, such as microtubule proteins and kinesin family proteins [38].
Overall, these studies introduced two new human systems for the study of WWOX in the human nervous system, implicating it as important for biological processes such as mitochondrial redox, cell adhesion, and neuronal migration and differentiation.
Human neuroblastoma. SH-SY5Y is a human neuroblastoma cell line that upon treatment with retinoic acid (RA) can give rise to differentiated human neuron-like cells [92], which makes it a good model to study neuronal differentiation. Wang et al. found that upon RA treatment, the differentiation of SH-SY5Y cells was associated with increased WWOX expression, together with decreased phosphorylation of the Tau protein at both Ser396 and Ser404 (phosphorylation at Ser422 was unchanged) [93]. The connection between Tau and WWOX has been long known [94] (as addressed later on in this review), but since Tau isoforms were suggested to be phosphorylated by GSK-3 in-vivo [95], and since GSK-3β has been studied in the context of neuronal differentiation [96], the group tested markers for its activity in response to RA treatment (levels of the inactive Ser9-phosphorylated GSK-3β and the phosphorylated β-catenin), which remained normal. A plausible explanation for the changes in Tau could be reduced GSK-3β-mediated phosphorylation, which together with the increased WWOX levels, suggested a connection between the two proteins. This could very well be supported by unrelated research that found that phosphorylation of GSK-3 proteins at serine residues is not the major regulatory mechanism in the CNS [96]. Furthermore, upon RNAi-mediated inhibition of WWOX, the SH-SY5Y cells displayed increased phospho-Tau at Ser396 levels and decreased neurite outgrowth [93]. Consistent with this observation, Tau hyperphosphorylation is increased in whole-brain tissues isolated from Wwox-null mice (unpublished data, Aqeilan Lab). Wang et al. further performed bioinformatic analysis and found putative GSK-3β binding motifs in WWOX, residing in the SDR domain (which contained an LXXRL motif similar to known binding partners of GSK-3β). The authors further validated this binding through immunofluorescence and immunoprecipitation experiments. Importantly, the interaction itself was not RA-dependent. In-vitro kinase assay allowed the researchers to demonstrate a negative regulation of GSK-3β by WWOX. Finally, the researchers found that this negative regulation promotes microtubular assembly, crucial for neurite growth, and that the mediator is the Tau protein. Overall, a molecular mechanism was suggested, in which upon RA administration, neuronal differentiation is induced, WWOX is upregulated which in turn inhibited GSK-3β and Tau phosphorylation, therefore promoting microtubule assembly and neuronal differentiation.
Overall, modeling WWOX loss-of-function in cell lines allowed for in-depth analysis of the affected transcriptome and CNS-relevant molecular partners, but overall lacked the whole human tissue and complex 3D interactions between different cellular populations. Therefore, here enter brain organoids.

3.3. 3D Human Systems

3.3.1. Introduction to Brain Organoids

In the passing two decades, two major breakthroughs have considerably enhanced our ability to generate a human system to study human development and disease: The first is the discovery of reprogramming of somatic cells into induced pluripotent stem cells (iPSCs) [97,98,99,100]. Human pluripotent stem cells (hPSCs), a group of cells generally composed of embryonic stem cells (ESCs) and iPSCs, are immortal cells that can be cultured and potentially used to generate every cell type in the petri dish [101]. Thus, they can be used to retain the specific genetic background and developmental stages that are unique to humans in general, and even a specific patient.
The second is the discovery that stem cells can self-organize to form a 3D culture that is highly similar, and sometimes identical to human tissue in terms of histology, developmental stages, functionality and cellular properties [102,103,104,105]. Therefore, generating organoids from hPSCs has the potential to model the complex physiology, cellular interactions, and disease pathology of a specific organ in a dish.
More specifically, CNS maladies are challenging to study and treat due to the relative inaccessibility of functional human brain tissue [106,107]. This research field was revolutionized with the discovery that hPSCs have the intrinsic capability to generate cortical-like and cerebral-like tissues, which mimic much of the developmental stages, cellular polarity, and cell diversity seen in the developing embryonic CNS [108,109,110]. This model is attractive from a clinical stand-point due to the better generalizability of the data derived, the inherent species background, the cellular, mechanical, and topographical cues that are lacking in planar systems, and the ability to personally model CNS tissue in a dish (using patient-derived iPSCs) [111]. These in-vitro generated cortical tissues can be referred to as brain organoids and encompass a wide variety of protocols [112,113]. Traditionally, some used a “patterned” organoid generation approach, yielding a specific brain region, such as the cerebral cortex [108,110,114,115,116], hippocampus [117], cerebellum [118], and many additional CNS regions [115,119,120,121,122,123,124,125]. Others used an unpatterned approach to assume more “general” organoids, referred to here as cerebral organoids [109,126,127]. As the field progress, people find new and exciting ways to enhance the protocols – by fusing region-specific organoids, which are referred to by some as assembloids [123,128,129,130,131,132,133], bioengineering organoids [116,134,135], adding blood vessels [136,137], adding microglia [138,139,140], and even transplanting in a mouse brain [141].
However, brain organoids are not fault-proof. As could be expected from a new model that attempts to recapitulate brain development outside the uterus and in a dish, several works have raised concerns regarding its integrity. For example, the classic organoids quickly increase in size to a diameter that surpasses the diffusion limit, therefore the core becomes necrotic [109,115,127]. Furthermore, some concerns were raised regarding the cellular markers expression, correct maturation and regional identity, elevation of stress-related pathways (such as hypoxic stress), and the ability to achieve homogeneous, reproducible organoids [142,143,144,145,146]. Lastly, organoids recapitulate only embryonic brain development, with different time points resembling different gestational stages. For example, a type of brain organoids referred to as cortical spheroids transcriptionally resembled mid-fetal development (around 24 weeks post-conception) after 2.5 months of culture [110,146]. That being said, long-term cultures of the same organoids were reported to have a prominent post-natal transcriptional signature when cultured longer than 300 days, which was also confirmed with functional assays [147].
Despite this, organoids were used to study in-vitro many aspects of human brain development, such as myelination [129,148,149], astrocyte maturation [150], and cortical folding [151,152]. In particular, organoids are useful to study human NSCs, also called radial glia cells (RGs) [107,142]. These cells are generally divided into two distinct populations. The ventricular RGs (vRGs) that reside in the VZ, are derived from the neuroepithelium and are practically the origin for all neural cells in the CNS [51,52,53,54]. The other type is called outer RGs (oRGs), and can be considered a defining feature of the oSVZ, a major source of neurogenesis and gliogenesis in humans, and are rare in rodents but are abundant in brain organoids [52,53,54,107,142]. This way, the organoids recapitulate the formation of the human VZ-SVZ and cortical plate (CP) structure [109].
Moreover, organoids have been successfully used to model many brain pathologies [106,107]. These include but are not limited to viral infections (Zika, herpes simplex virus 1 and SARS-CoV-2) [115,153,154,155,156], brain tumors [157,158,159,160], microcephaly [109,154,161,162], neuropsychiatric disorders [163,164,165], ASD [166,167], neurodegenerative disorders (Alzheimer’s disease, Parkinson’s disease and frontotemporal dementia) [139,168,169,170,171,172], lissencephaly (Miller-Dieker syndrome; also associated with epilepsy) [173], and seizure-related disorders [174] such as Tuberous sclerosis [175], Angelman syndrome [176], Rett syndrome [177], Timothy syndrome [128], and developmental and epileptic encephalopathies - UGDH gene mutations (DEE84) [178], SCAR12 and WOREE syndromes [44,57].

3.3.2. WWOX in Brain Organoids

As organoids can be a powerful tool in the study of human disease, our group sought to apply them to WWOX mutations. To do that, we generated WWOX-KO hESCs from the WiBR3 cell line. These cells were then used to generate WWOX-KO cerebral organoids (COs) [57]. After validating the organoids, the first step was to find out if the organoids can recapitulate hallmarks of epilepsy, such as neuronal hyperexcitability and gliosis [33,34,35,37]. To address the first, we recorded local field potential (LFP) from COs slices and observed increased firing in WWOX-KO COs. At baseline conditions, WWOX-KO COs displayed a spectral power (quantified by the area under the curve; AUC) approximately twice as high as in the WT COs. Upon administration of the convulsant 4-Aminopyridine (4-AP), the neuronal firing rate increased in all lines of COs, with the WWOX-KO COs being more reactive. Notably, this increased activity was observed in the lower frequency ranges, a phenomenon previously described in epilepsy [64]. Using cross-frequency coupling of the sample traces for both WT and KO lines in the presence of 4-AP revealed an increase in the δ: HFO frequency pairs—a signature that is associated with seizure sub-states [63]. These unforeseen results suggest that WWOX loss of function could result in neuronal hyperexcitability in the early stages of development. An observation we found interesting was a decrease in the oscillatory power of the COs during organoids maturation, which, though it fits previous reports in organoids [179], was more pronounced in the KO lines, potentially suggesting a maturation delay.
The second hallmark, gliosis, which was also previously described in Wwox-null mice [49] but not in rats [30], was addressed by quantifying the expression of the astrocytic markers GFAP and S100β, both at protein and RNA levels, with additional markers (AQP4 and ALDH1A1) also quantified at the RNA level. Overall, WWOX-KO organoids demonstrated increased astrogenesis, which progressed with time [57].
We also examined WWOX-related phenotypes. First, we stained for WWOX and were surprised to discover that during the early stages of organoids culture WWOX expression was limited to the vRGs. Although unknown, this fits the description of the limited expression of WWOX mRNA during human embryonic development. This connection was further supported when upon prolonged culturing WWOX expression appeared in non-RG cells [57], and in another organoid model of ours, was even found in neurons [44]. This pattern is highlighted in Figure 1.
Next, we checked if these organoids could recapitulate the myelin-related phenotype reported in mice and rats. Since COs lack OLs, we switched to an organoid protocol that is enriched with it, the oligocortical spheroids (OS) [148], and generated the OS-WWOX-KO system [44]. These spheroids recapitulate many of the phenotypes of the WWOX-KO COs, especially the electrophysiological phenotype, and demonstrated apparent hypomyelination, validated through immunofluorescent staining, qPCR, and electron microscopy.
As described so far, WWOX-KO organoids shared many common features with the rodent models, but this was not always the case. A major difference was seen in the inhibitory neuron population. In contrast to the decreased levels of GABAergic neurons in Wwox null mice [49], we found increased GABAergic markers expression, which made us hypothesize that there is a role for the developmental depolarizing GABA currents in the pathogenesis [57].
As a functional assay for WWOX, the COs system enabled us to explore the physiological DNA damage response (DDR), a well-known function linked with proper WWOX expression [13,15]. As WWOX was mainly found in the vRGs, we zoomed into the VZ to study the DDR. Immunostaining of γH2AX and 53BP1, surrogate markers of DNA breaks, revealed accumulation of damage foci in the VZ in WWOX-KO COs, suggesting impaired DDR. In addition, staining for the proliferation marker Ki67 revealed an increased number of proliferating cells harboring γH2AX foci, suggesting loss of checkpoint inhibition, another previously described function of WWOX [13,15]. This was also accompanied by diminished apoptosis in the vRGs, which altogether fits the notion of prolonged survival of damaged vRGs. Notably, studies in human and mouse NSCs found that accumulation of DNA damage foci, either in the nuclear or mitochondrial DNA, can cause the NSCs to stop differentiating into neurons and to assume an astrocytic-like phenotype [180,181], which in part can explain the increased astrogenesis.
Next, to unbiasedly study unknown molecular changes, we performed bulk RNA-seq. GESA and GO terms analysis revealed many affected pathways, such as processes related to ATP synthesis coupled electron transport, oxidative phosphorylation, glycolysis and gluconeogenesis, and negative regulation of cell cycle. All are consistent with known functions of WWOX from other models [13,14,15,73,90,91]. Additionally, enrichment was seen in genes related to neuron fate commitment and specification, supported by the work in neuroblastoma cell lines that connected WWOX to GSK-3β and neuronal differentiation [93]. This observation was interesting, as the most enriched pathways were related to ‘regionalization’ and ‘axis specification’ (Ventral-Dorsal & Anterior-Posterior), which after closer inspection, included many genes connected to the Wnt-pathway. Since WWOX has been implicated in this pathway [22,50,76,93,182], we pursued this lead and found chronic Wnt-pathway activation in our WWOX-KO COs that is not seen in the control organoids. The observation was followed by the finding of disrupted cortical layers, a previously reported consequence of Wnt activation in brain organoids [134], and a finding that was seen in a fetus suffering from WOREE-syndrome and in Ide/Ide rats [38]. This to us was reminiscent of cortical dysplasia, which has a well-recognized role in the pathogenesis of drug-resistant epilepsy [183,184,185].
Lastly, we generated WOREE syndrome COs. These COs were obtained by reprogramming somatic cells from a WOREE patient and his healthy heterozygous parents, resulting in WOREE syndrome iPSCs. This model validated most of the described phenotypes in WWOX-KO COs [57]. Notably, cell-attached recordings from these organoids documented a four-fold increase in the neuronal firing rate, a ratio that was observed also in our Wwox-null mice [186]. Overall, WOREE syndrome COs achieved two important goals: The first was validating the applicability of the WWOX-KO COs to human patients, and the second, by recapitulating much of the rodent data, this model validated it as well.
As most of the phenotypes were observed by us in the cortical parts of the organoids, forebrain-specific organoids (FOs) were generated [57,115]. WOREE-syndrome FOs recapitulated and validated the phenotypes observed in the COs. Reprogramming somatic cells from a SCAR12 syndrome family and generating the SCAR12 syndrome iPSCs and SCAR12 syndrome FOs highlighted some differences with WOREE syndrome [57]. In fact, SCAR12 syndrome FOs lacked most of the histopathological phenotypes seen in WOREE syndrome organoids, except for the Wnt-activation signature. Therefore, this proves the ability of the organoid system to differentiate between the diseases and might be the only available SCAR12-specific model to date.
Work by Gordon et al., which investigated cortical spheroids development in long-term culture compared to human brain tissue, described developmental trajectories for gene expression and highlighted in them a few neurological diseases-related genes [147]. One of the genes found to have differential expression during development in the epilepsy cluster was WWOX, which was expressed early in prenatal development, was downregulated, and reappeared later in post-natal developmental stages (long-term culture of cortical spheroids).
Another interesting work was done by Esk et al. The group developed a new gene screening tool based on cerebral organoids called CRISPR-LICHT, which they applied to study microcephaly-related genes [187]. For sake of the simplicity of the explanation, the system is based on the infection of hPSCs with a single-guide RNA (sgRNA) library, multiple barcoding system, and single-cell next-generation sequencing to perform lineage tracing in the organoids. Roughly, the idea is that after induction of CRISPR-editing, the lineage in which the affected gene is related to microcephaly will be smaller in relation to its size if CRISPR-editing was not induced. One of the top candidate genes they found was WWOX, whose mutated lineage was reduced at day 42 of culture following CRISPR induction. Microcephaly was not seen in our size evaluation [57]; therefore this observation is very important and worthy of further studies in light of a review describing microcephaly in only about 30% of the patients [82], and a genome-wide association study (GWAS) that found an intronic single nucleotide variant (SNP) in WWOX (rs10514437) to be a possible influencer of infant white matter volume, but only approached genome-wide statistical significance [188].
In total, the use of brain organoids, in our opinion, can be an important model for the study of WWOX in the CNS, combining both known phenotypes from primary human tissues and rodent models, and the specific genetic background of humans in general, and patients in particular.

4. Other WWOX-Related Neurodevelopmental and Neurodegenerative Disorders

4.1. WWOX and Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by the key features of impairment of social communication and interactions, accompanied by stereotyped and repetitive patterns of behavior, interests, and activities [189]. ASD is considered to have a genetic, epigenetic, and environmental background. Usually, it is associated with copy number variations (CNVs) which contribute at about 15% to the causes of ASD, and single nucleotide variations (SNVs) which contribute at 7%. Only a few genetic alterations have such complete penetrance that they are associated with ASD in almost every person who carries that variant [190].
WWOX was first reported to be involved in ASD in 2016, through an analysis of the Autism Genetic Resource Exchange (AGRE) database combined with the Simons Simplex Collection (SSC) dataset, which found CNVs in 12 affected children (but only one unaffected) involving the WWOX gene, suggesting it to be a low-penetrance ASD-locus [191]. However, the chr16q23.1 region, which contains WWOX, was associated with ASD as early as 2011 [8]. Since then, compound heterozygous mutations were implicated in a case report [192] and other populations-based studies [193,194]. For example, Bartnik et al., (2012) reported a patient with an isolated deletion that was associated with ASD and epilepsy [195].
Similarly, WWOX was associated with intellectual disability (ID) and attention deficit hyperactivity disorder (ADHD) [8]. Overall, it seems CNVs in the WWOX gene can result in other forms of neurodevelopmental disorders besides WOREE and SCAR12 syndromes. Understanding what determines which phenotype develops is a source of great interest. At present, there are no dedicated models to study WWOX function in ASD, ADHD, and ID.

4.2. WWOX and Alzheimer’s Disease

The association between WWOX and neurodegeneration has been studied for a long time but did not follow the “rodent-to-human” timeline that was described so far for the encephalopathies. As it has been extensively reviewed elsewhere [4,6,7,9], and for the sake of clarity, it is briefly described here with the main focus being the different models used through the years between studies and research groups.
Alzheimer’s disease (AD) is a heterogenous neurodegenerative disease and is the most common cause of dementia in the elderly [196]. The brain atrophy associated with AD is progressive, with different patterns of spread. For example, in late-onset AD, the atrophy is first seen in the medial temporal regions before spreading to other regions of the neocortex, such as the parietal, occipital, and frontal cortices [197]. The brain atrophy in the entorhinal cortex is generally in correlation to the onset of cognitive impairment [196]. At the molecular level, there is a development of dystrophic neuritic plaques containing amyloid-beta (Aβ) and neurofibrillary tangles (NFTs; composed of hyperphosphorylated tau filaments), microglia and astrocytes activation, and synaptic and neuronal loss [196,198]. Additionally, Aβ accumulates in blood vessel walls in the cortex and leptomeninges [199].
The story of WWOX and AD began in 2004 when Sze et al. examined the hippocampi of Alzheimer’s disease patients and found significant down-regulation of the WWOX protein (also in phosphorylated form), while phosphorylation of Tau and NFT formation were significantly up-regulated [94]. Low levels of WWOX were observed also in the dystrophic neuritic plaques. Furthermore, in neurons from AD hippocampi, Tau colocalized with endogenous WWOX, which suggested physical interaction. This was followed by knockdown of WWOX in the human neuroblastoma cell line (SK-N-SH cells) using small interfering RNA (siRNA). This manipulation increased Tau phosphorylation in sites associated with enhanced ERK and GSK-3β activity and increased NTFs. Interestingly, in WWOX knockdown mouse fibroblasts (siWWOX transfected L929 cells) exposure of these cells to a MEK1/2 inhibitor (PD-98059) and a JNK inhibitor (SP600125) inhibited NFTs. Lastly, WWOX was shown to physically interact with Tau and GSK-3β, an interaction that was enhanced by Estradiol (E2) treatment. They were also able to map the interaction between WWOX and Tau to the SDR domain. As mentioned before, later on, research in SH-SY5Y neuroblastoma cells showed that WWOX physically interacts with and inhibits GSK-3β, preventing Tau hyperphosphorylation [93].
Another important discovery was the accumulation of trafficking protein particle complex 6A (TPC6A), its isoform TPC6AΔ, and Tau aggregates in the brain of conditional Wwox-null mice [200]. TPC6AΔ protein is related to caspase activation, Tau aggregation, and Aβ generation in patients with Alzheimer’s disease [200]. Additionally, WWOX knockdown using siRNA in COS7 cells (African green monkey kidney fibroblast-like cell line) caused aggregation of ectopic TPC6AΔ and TGF-β1-induced antiapoptotic factor (TIAF1). This report followed a previous paper that implicated TGF-β signaling, TIAF1 self-aggregation, and nuclear accumulation of SMAD4 protein in suppression of amyloid precursor protein (APP) phosphorylation and induction of Aβ [201]. TIAF1 aggregates were also found in AD hippocampi [201]. This pathway is of particular interest, as WWOX was also associated with SMAD4 translocation to the nucleus [29]. Further studies in cell lines and WWOX-KO MEF cells isolated from the conditional Wwox-null mice found that WWOX physically binds TPC6A and TPC6AΔ, and prevents its aggregation [201]. These studies led to a model in which WWOX dysfunction causes TPC6AΔ polymerization leading to the aggregation of TIAF1 and caspase activation that causes APP degradation, leading to the generation of Aβ and the formation of the NFTs, causing neurodegeneration.
In addition, in a triple-transgenic mice model for AD, treatment with Zinc finger-like protein that regulates apoptosis (Zfra) peptides blocked tau aggregation and Aβ formation and restored memory deficits [202]. Then, the research group used another model in which injection of melanoma B16F10 cells to nude mice cause neurodegeneration. Zfra treatment reduced the percentage of apoptotic nuclei in the hippocampus and specifically suppressed WWOX phosphorylation at Ser14, which is a form of WWOX they associated with AD progression and severity [202]. Notably, they used in this study also WWOX heterozygous mice and observed faster age-related decline in both short- and long-term memories than those in the triple-transgenic mice model.
Finally, in 2019, a massive GWAS meta-analysis study named the WWOX gene as a risk locus for late-onset AD [203].
To conclude, WWOX seems to be connected to neurodegeneration. Although these are diseases of the adult, cell lines, Wwox-null mice and Wwox heterozygous mice can serve as good models for AD and cognitive decline. Furthermore, as organoids have been used to study both WWOX mutations in neurodevelopment [44,57] and neurodegeneration [139,168,169,170,171,172], it is exciting to speculate whether this model can also be applied to study WWOX in diseases such as Alzheimer’s.

4.3. WWOX and Parkinson’s Disease

Parkinson’s disease (PD) is a progressive neurodegenerative disorder and the second most common age-related neurodegenerative disease, exceeded only by AD [204,205]. The disease can manifest with motor and nonmotor symptoms, but the cardinal features of the disease typically include rest tremor, rigidity, bradykinesia, and gait dysfunction with postural instability [205]. In May 2021, a longitudinal genome-wide survival study (GWSS) analyzed whole-genome sequencing data from 4491 samples originating in PD patients and found alternations in the WWOX locus to be associated with a greater risk for PD progression into Parkinson’s disease dementia (PDD) and cognitive deterioration [206]. A possible connection between WWOX and PD was shown 13 years earlier by studying the effects of neurotoxin-induced PD on WWOX [207]. In this study, the researchers used a model for PD in which either rats or human neuroblastoma cell lines were treated with 1-methyl-4-phenyl-pyridinium ion (MPP+). MPP+ is a product of the drug 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP), which, after crossing the blood-brain barrier (BBB), is metabolized and MPP+ is concentrated into dopaminergic neurons via the dopamine transporter, causing neurodegeneration. This damages the basal ganglia and the substantia nigra, causing parkinsonism [208]. The researchers observed that MPP+ injection into the corpus striatum (CS) caused suppression of WWOX expression in nerve bundles but upregulated it in apoptotic neurons postinjury for 1–3 days, both in the CS and in the ipsilateral cortex [207]. Interestingly, WWOX accumulated also in the nuclei of the degraded neurons and persisted for several weeks. Additionally, WWOX could be observed in the nucleoli, mitochondria, and myelin sheath. WWOX was shown to interact with JNK1 in both MPP+-treated neurons and neuroblastoma SK-N-SH cells. MPP+ treatment in this cell line caused phosphorylation of both and reduced the interaction. In rat cortical lysates treatment caused increased binding with JNK1 in the cortex both in the contralateral and ipsilateral sides 1-h post-injection, followed by dissociation at 4-h, with variable results when examining the ipsi and contralateral CS. This interaction of WWOX and JNK1 could be of interest, as WWOX and JNK1 were shown to counteract each other and to inhibit WWOX-mediated apoptosis [56,207]. This idea was supported by the observation that inhibition of WWOX activation attenuated MPP+-induced reduction in cell sizes that the authors linked to apoptosis.
Notably, another CFS gene, PARK2 (Parkin) was found to be involved in autosomal recessive juvenile Parkinson’s disease (ARJP) [209,210]. Overall, although the data connecting WWOX and PD is scarce, and future research might further support its role in the disease mechanism.

4.4. WWOX and Multiple Sclerosis

As reviewed here, the connection between WWOX and myelin has been studied in several models, from rats to mice and brain organoids. All of these are relatively “young models”. The rodent models are short-lived while the organoids mainly model embryonic development. However, Multiple sclerosis (MS) is typically a disease of young adults, with an age of onset usually around 20 to 40 years of age, with only about 3–5% of patients reporting symptoms onset before the age of 18, with an incidence rate of up to 0.1 per 100,000 for individuals at an age <10 years, which is then referred to as pediatric-onset MS (POMS) [211,212].
MS is an autoimmune neurodegenerative disease characterized by chronic demyelination, inflammation, gliosis (plaques or scarring), and neuronal loss [211,213]. The clinical course is variable, with neurologic events usually following either a relapsing-remitting or a progressive course, and can range from relatively benign to a rapidly evolving and incapacitating disease [211,213]. MS plaques are typically disseminated in time and space (developing at different time periods and in different CNS locations).
WWOX was first implicated in MS through a GWAS that identified it as one of 48 new susceptibility loci [214]. Curiously, the WWOX variant was intronic (rs12149527). This finding was supported by the work of Jäkel et al., who performed snRNA-seq of postmortem white matter areas of MS patients’ brains and unaffected controls. In short, they identified subclusters of OLs in control human white matter and found that some subclusters were underrepresented in MS tissue, whereas others were more prevalent, suggesting different functional states of OLs in MS lesions. WWOX-expressing cells were identified as being reduced in chronic active MS lesions [215], which are defined by accumulation of microglia and/or macrophages at the lesion edge, subtle opening of the blood-brain barrier, and repair/remyelination failure with axonal loss, and are associated with more aggressive MS [216].
A recent review suggested mechanisms for WWOX involvement in myelin production [8]; one, through involvement in cellular lipid homeostasis [217] and the second, direct interaction with proteins involved in protein trafficking, endosome, and lysosomes networks, such as SIMPLE, a protein that was implicated in the autosomal dominant demyelinating form of the Charcot-Marie-Tooth (CMT) disease linked to 16p (CMT1C) [8].
Overall, it is becoming apparent that WWOX has an important role in myelination, and could be involved through multiple cells lineages, such as neurons (implicated by Repudi et al., [44]) and oligodendrocytes (as observed by Jäkel et al., [215]). The mechanism is currently still unknown; therefore, making further research and developing dedicated models is warranted.

5. From the Bench to the Patient—How Can We Help?

Although an important goal of medical research is the understanding of disease processes, arguably equally important is improving medical care and the development of state-of-the-art approaches to treatment. Possible approaches would be using relevant models to find better treatments among already existing drugs, while others could be the development of new therapies. Several papers utilized WWOX models to do just that, and are discussed here.
An example of the use of experimental models to find therapeutic options from already approved drugs is seen in the research of Cheng et al. [50]. Here the model was used to study the epileptic phenotype by intraperitoneal injections of the convulsant drugs pilocarpine (muscarinic receptor agonist) and PTZ (GABA receptor antagonist). The Wwox-null mice showed higher susceptibility to the drugs, with about half progressing into status epilepticus, a phenomenon not observed in the WT or heterozygous mice. Interestingly, the null mice also were the only group that responded to pretreatment with the anti-epileptic drug ethosuximide, which suppressed PTZ-induced seizures. The researchers further combined the knowledge of the known interaction between GSK-3β and WWOX [93], and after they confirmed over-activation of GSK-3β (dephosphorylation at Ser9) they used pre-treatment with lithium, a drug which is highly used for bipolar disorders [218] that also inhibits GSK-3β, to suppress PTZ-induced seizures.
Next, in our mentioned above organoids work by Steinberg et al., we re-introduced the WWOX coding sequence into the safe-harbor AAVS1 locus in WWOX-KO hESCs and WOREE syndrome iPSCs [57]. The resulting COs expressed WWOX diffusely in all cell types throughout the culture period and were rescued from most of the mentioned phenotypes, including the complete rescue of increased astrogliosis, cortical dysplasia, DNA damage, and neuronal hyperexcitability, and to some extent the Wnt-pathway activation. Furthermore, lentiviral transduction of WWOX into mature WWOX-KO COs was able to reverse the electrophysiological findings. That being said, the phenotype was not rescued completely and included the uncontrolled expression of WWOX in all cellular populations, which made us speculate that a cell-type-specific approach would be more appropriate.
Therefore, in an article, by Repudi et al., a novel gene-therapy approach is presented [186]. This approach includes the generation of an adeno-associated viral vector serotype 9 (AAV9) vector, which ectopically expresses either mouse or human WWOX under the Synapsin-I promotor, i.e., specifically expressing in mature neurons. AAV vectors have been used clinically in several diseases [219,220,221], and AAV9 has specifically high CNS tropism [221,222,223,224]. The combination of AAV9 and the Synapsin-I promotor resulted in the highly selective expression of WWOX in neurons. Injection of AAV9-hSynI-WWOX to neonatal Wwox-null mice rescued the CNS phenotypes, including neuronal hyperexcitability, seizures, myelination deficits, and behavioral changes (anxiety and motor functions), results that were not seen in the AAV9-hSynI-EGFP-injected mice [186]. Furthermore, CNS neuronal-specific restoration of WWOX also rescued abnormalities in other tissues (bone and testis), as well as systemic symptoms such as hypoglycemia, growth retardation, and premature lethality. The success of this treatment both in and outside the CNS, together with the improvement in survival (i.e., successfully injected mice could be identical to wild-type mice), suggests that AAV9-delivery combined with neuron-specific expression of WWOX could serve as an efficient and safe treatment for WWOX-related neurodevelopmental disorders.
All in all, and although much work is yet to be done, WWOX models have the potential to benefit human patients and should serve as a preclinical platform for testing and development of treatment. In the future, one may speculate that the generation of patient-specific organoids or mutation-specific rodent models could be utilized as a platform for the development of personalized medicine, drug screening, and safety enhancement.

6. Concluding Remarks and Future Perspective

Experimental models for WWOX-related CNS disorders existed even before the first connection between WWOX and neurological diseases was made. As the clinical and biological research progressed, enhancing each other, more complicated and precise models appeared with many researchers and laboratories contributing to the scientific effort. These model systems, animal or human, all have in common the recapitulation of major aspects of the neuropathology (Table 1, Figure 2). Despite this, no model is currently perfect and major drawbacks can be found in all of them. Therefore, we believe the combination of these models can benefit both the scientific community in the mechanistic understanding of the disease, and patients in the development of new and safe treatments.

Author Contributions

Conceptualization, writing, D.J.S. and R.I.A.; visualization, D.J.S.; supervision, funding acquisition, project administration R.I.A. All authors have read and agreed to the published version of the manuscript.

Funding

The Aqeilan’s laboratory is funded by the European Research Council (ERC) (No. 682118) and Proof-of-Concept ERC Grant (No. 957543). D.J.S. is supported by the Foulkes Foundation Fellowship.

Acknowledgments

We would like to thank all members of the Aqeilan’s lab for the fruitful discussion. We are grateful to Sara Oster for her help in editing the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Insel, T.R.; Landis, S.C. Twenty-five years of progress: The view from NIMH and NINDS. Neuron 2013, 80, 561–567. [Google Scholar] [CrossRef] [Green Version]
  2. Banne, E.; Abudiab, B.; Abu-Swai, S.; Repudi, S.R.; Steinberg, D.J.; Shatleh, D.; Alshammery, S.; Lisowski, L.; Gold, W.; Carlen, P.L.; et al. Neurological Disorders Associated with WWOX Germline Mutations—A Comprehensive Overview. Cells 2021, 10, 824. [Google Scholar] [CrossRef]
  3. Tabarki, B.; Al Mutairi, F.; Al Hashem, A. The fragile site WWOX gene and the developing brain. Exp. Biol. Med. 2015, 240, 400–402. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Teng, C.C.; Yang, Y.T.; Chen, Y.C.; Kuo, Y.M.; Sze, C.I. Role of WWOX/WOX1 in Alzheimer’s disease pathology and in cell death signaling. Front. Biosci. Sch. 2013, 5, 72–85. [Google Scholar] [CrossRef] [Green Version]
  5. Kośla, K.; Kałuzińska, Ż.; Bednarek, A. The WWOX gene in brain development and pathology. Exp. Biol. Med. 2020, 245, 1122–1129. [Google Scholar] [CrossRef]
  6. Hsu, C.-Y.; Lee, K.-T.; Sun, T.-Y.; Sze, C.-I.; Huang, S.-S.; Hsu, L.-J.; Chang, N.-S. WWOX and Its Binding Proteins in Neurodegeneration. Cells 2021, 10, 1781. [Google Scholar] [CrossRef]
  7. Chang, H.-T.; Liu, C.-C.; Chen, S.-T.; Yap, Y.V.; Chang, N.-S.; Sze, C.-I. WW domain-containing oxidoreductase in neuronal injury and neurological diseases. Oncotarget 2014, 5, 10–14. [Google Scholar] [CrossRef]
  8. Aldaz, C.M.; Hussain, T. WWOX Loss of Function in Neurodevelopmental and Neurodegenerative Disorders. Int. J. Mol. Sci. 2020, 21, 8922. [Google Scholar] [CrossRef]
  9. Liu, C.-C.; Ho, P.-C.; Lee, I.-T.; Chen, Y.-A.; Chu, C.-H.; Teng, C.-C.; Wu, S.-N.; Sze, C.-I.; Chiang, M.-F.; Chang, N.-S. WWOX Phosphorylation, Signaling, and Role in Neurodegeneration. Front. Neurosci. 2018, 12, 563. [Google Scholar] [CrossRef] [PubMed]
  10. Bednarek, A.K.; Laflin, K.J.; Daniel, R.L.; Liao, Q.; Hawkins, K.A.; Aldaz, C.M. WWOX, a Novel WW Domain-containing Protein Mapping to Human Chromosome 16q23.3–24.1, a Region Frequently Affected in Breast Cancer. Cancer Res. 2000, 60, 2140–2145. [Google Scholar] [PubMed]
  11. Aqeilan, R.I.; Trapasso, F.; Hussain, S.; Costinean, S.; Marshall, D.; Pekarsky, Y.; Hagan, J.P.; Zanesi, N.; Kaou, M.; Stein, G.S.; et al. Targeted deletion of Wwox reveals a tumor suppressor function. Proc. Natl. Acad. Sci. USA 2007, 104, 3949–3954. [Google Scholar] [CrossRef] [Green Version]
  12. Abu-Remaileh, M.; Joy-Dodson, E.; Schueler-Furman, O.; Aqeilan, R.I. Pleiotropic functions of tumor suppressor WWOX in normal and cancer cells. J. Biol. Chem. 2015, 290, 30728–30735. [Google Scholar] [CrossRef] [Green Version]
  13. Abu-Odeh, M.; Salah, Z.; Herbel, C.; Hofmann, T.G.; Aqeilan, R.I. WWOX, the common fragile site FRA16D gene product, regulates ATM activation and the DNA damage response. Proc. Natl. Acad. Sci. USA 2014, 111, E4716–E4725. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Abu-Remaileh, M.; Aqeilan, R.I. Tumor suppressor WWOX regulates glucose metabolism via HIF1α modulation. Cell Death Differ. 2014, 21, 1805–1814. [Google Scholar] [CrossRef] [Green Version]
  15. Abu-Odeh, M.; Hereema, N.A.; Aqeilan, R.I. WWOX modulates the ATR-mediated DNA damage checkpoint response. Oncotarget 2016, 7, 4344–4355. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Chang, N.S.; Pratt, N.; Heath, J.; Schultz, L.; Sleve, D.; Carey, G.B.; Zevotek, N. Hyaluronidase Induction of a WW Domain-containing Oxidoreductase that Enhances Tumor Necrosis Factor Cytotoxicity. J. Biol. Chem. 2001, 276, 3361–3370. [Google Scholar] [CrossRef] [Green Version]
  17. Tanna, M.; Aqeilan, R.I. Modeling WWOX loss of function in vivo: What have we learned? Front. Oncol. 2018, 8, 420. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Ried, K.; Finnis, M.; Hobson, L.; Mangelsdorf, M.; Dayan, S.; Nancarrow, J.K.; Woollatt, E.; Kremmidiotis, G.; Gardner, A.; Venter, D.; et al. Common chromosomal fragile site FRA16D sequence: Identification of the FOR gene spanning FRA16D and homozygous deletions and translocation breakpoints in cancer cells. Hum. Mol. Genet. 2000, 9, 1651–1663. [Google Scholar] [CrossRef]
  19. Lee, C.S.; Choo, A.; Dayan, S.; Richards, R.I.; O’Keefe, L.V. Molecular Biology of the WWOX Gene That Spans Chromosomal Fragile Site FRA16D. Cells 2021, 10, 1637. [Google Scholar] [CrossRef] [PubMed]
  20. Del Mare, S.; Salah, Z.; Aqeilan, R.I. WWOX: Its genomics, partners, and functions. J. Cell. Biochem. 2009, 108, 737–745. [Google Scholar] [CrossRef]
  21. Salah, Z.; Aqeilan, R.; Huebner, K. WWOX gene and gene product: Tumor suppression through specific protein interactions. Future Oncol. 2010, 6, 249–259. [Google Scholar] [CrossRef] [Green Version]
  22. Abu-Odeh, M.; Bar-Mag, T.; Huang, H.; Kim, T.H.; Salah, Z.; Abdeen, S.K.; Sudol, M.; Reichmann, D.; Sidhu, S.; Kim, P.M.; et al. Characterizing WW domain interactions of tumor suppressor WWOX reveals its association with multiprotein networks. J. Biol. Chem. 2014, 289, 8865–8880. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Nunez, M.I.; Ludes-Meyers, J.; Aldaz, C.M. WWOX protein expression in normal human tissues. J. Mol. Histol. 2006, 37, 115–125. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Chen, S.T.; Chuang, J.I.; Wang, J.P.; Tsai, M.; Li, H.; Chang, N.S. Expression of WW domain-containing oxidoreductase WOX1 in the developing murine nervous system. Neuroscience 2004, 124, 831–839. [Google Scholar] [CrossRef] [PubMed]
  25. Suzuki, H.; Takenaka, M.; Suzuki, K. Phenotypic characterization of spontaneously mutated rats showing lethal dwarfism and epilepsy. Comp. Med. 2007, 57, 360–369. [Google Scholar]
  26. Suzuki, H.; Katayama, K.; Takenaka, M.; Amakasu, K.; Saito, K.; Suzuki, K. A spontaneous mutation of the Wwox gene and audiogenic seizures in rats with lethal dwarfism and epilepsy. Genes, Brain Behav. 2009, 8, 650–660. [Google Scholar] [CrossRef]
  27. Takenaka, M.; Yagi, M.; Amakasu, K.; Suzuki, K.; Suzuki, H. Retarded differentiation of Leydig cells and increased apoptosis of germ cells in the initial round of spermatogenesis of rats with lethal dwarf and epilepsy (lde/lde) phenotypes. J. Androl. 2008, 29, 669–678. [Google Scholar] [CrossRef]
  28. Li, M.Y.; Lai, F.J.; Hsu, L.J.; Lo, C.P.; Cheng, C.L.; Lin, S.R.; Lee, M.H.; Chang, J.Y.; Subhan, D.; Tsai, M.S.; et al. Dramatic co-activation of WWOX/WOX1 with CREB and NF-κB in delayed loss of small dorsal root ganglion neurons upon sciatic nerve transection in rats. PLoS ONE 2009, 4, e7820. [Google Scholar] [CrossRef] [Green Version]
  29. Hsu, L.-J.; Hong, Q.; Chen, S.-T.; Kuo, H.-L.; Schultz, L.; Heath, J.; Lin, S.-R.; Lee, M.-H.; Li, D.-Z.; Li, Z.-L.; et al. Hyaluronan activates Hyal-2/WWOX/Smad4 signaling and causes bubbling cell death when the signaling complex is overexpressed. Oncotarget 2016, 8, 19137–19155. [Google Scholar] [CrossRef] [Green Version]
  30. Tochigi, Y.; Takamatsu, Y.; Nakane, J.; Nakai, R.; Katayama, K.; Suzuki, H. Loss of Wwox Causes Defective Development of Cerebral Cortex with Hypomyelination in a Rat Model of Lethal Dwarfism with Epilepsy. Int. J. Mol. Sci. 2019, 20, 3596. [Google Scholar] [CrossRef] [Green Version]
  31. Beach, T.G.; Woodhurst, W.B.; MacDonald, D.B.; Jones, M.W. Reactive microglia in hippocampal sclerosis associated with human temporal lobe epilepsy. Neurosci. Lett. 1995, 191, 27–30. [Google Scholar] [CrossRef]
  32. Shapiro, L.A.; Wang, L.; Ribak, C.E. Rapid astrocyte and microglial activation following pilocarpine-induced seizures in rats. Epilepsia 2008, 49, 33–41. [Google Scholar] [CrossRef] [Green Version]
  33. Thom, M. Hippocampal Sclerosis: Progress Since Sommer. Brain Pathol. 2009, 19, 565–572. [Google Scholar] [CrossRef] [PubMed]
  34. Blumcke, I.; Spreafico, R.; Haaker, G.; Coras, R.; Kobow, K.; Bien, C.G.; Pfäfflin, M.; Elger, C.; Widman, G.; Schramm, J.; et al. Histopathological Findings in Brain Tissue Obtained during Epilepsy Surgery. N. Engl. J. Med. 2017, 377, 1648–1656. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Robel, S.; Buckingham, S.C.; Boni, J.L.; Campbell, S.L.; Danbolt, N.C.; Riedemann, T.; Sutor, B.; Sontheimer, H. Reactive Astrogliosis Causes the Development of Spontaneous Seizures. J. Neurosci. 2015, 35, 3330–3345. [Google Scholar] [CrossRef] [Green Version]
  36. Vezzani, A.; French, J.; Bartfai, T.; Baram, T.Z. The role of inflammation in epilepsy. Nat. Rev. Neurol. 2011, 7, 31–40. [Google Scholar] [CrossRef] [Green Version]
  37. Patel, D.C.; Tewari, B.P.; Chaunsali, L.; Sontheimer, H. Neuron–glia interactions in the pathophysiology of epilepsy. Nat. Rev. Neurosci. 2019, 20, 282–297. [Google Scholar] [CrossRef] [PubMed]
  38. Iacomino, M.; Baldassari, S.; Tochigi, Y.; Kośla, K.; Buffelli, F.; Torella, A.; Severino, M.; Paladini, D.; Mandarà, L.; Riva, A.; et al. Loss of Wwox Perturbs Neuronal Migration and Impairs Early Cortical Development. Front. Neurosci. 2020, 14, 644. [Google Scholar] [CrossRef]
  39. Aqeilan, R.I.; Hassan, M.Q.; De Bruin, A.; Hagan, J.P.; Volinia, S.; Palumbo, T.; Hussain, S.; Lee, S.-H.H.; Gaur, T.; Stein, G.S.; et al. The WWOX tumor suppressor is essential for postnatal survival and normal bone metabolism. J. Biol. Chem. 2008, 283, 21629–21639. [Google Scholar] [CrossRef] [Green Version]
  40. Aqeilan, R.I.; Hagan, J.P.; De Bruin, A.; Rawahneh, M.; Salah, Z.; Gaudio, E.; Siddiqui, H.; Volinia, S.; Alder, H.; Lian, J.B.; et al. Targeted ablation of the WW domain-containing oxidoreductase tumor suppressor leads to impaired steroidogenesis. Endocrinology 2009, 150, 1530–1535. [Google Scholar] [CrossRef] [Green Version]
  41. Ludes-Meyers, J.H.; Kil, H.; Nuñez, M.I.; Conti, C.J.; Parker-Thornburg, J.; Bedford, M.T.; Aldaz, C.M. Wwox hypomorphic mice display a higher incidence of B-cell lymphomas and develop testicular atrophy. Genes Chromosom. Cancer 2007, 46, 1129–1136. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Ludes-Meyers, J.H.; Kil, H.; Parker-Thornburg, J.; Kusewitt, D.F.; Bedford, M.T.; Aldaz, C.M. Generation and characterization of mice carrying a conditional allele of the Wwox tumor suppressor gene. PLoS ONE 2009, 4, e7775. [Google Scholar] [CrossRef] [PubMed]
  43. Abdeen, S.K.; Del Mare, S.; Hussain, S.; Abu-Remaileh, M.; Salah, Z.; Hagan, J.; Rawahneh, M.; Pu, X.; Russell, S.; Stein, J.L.; et al. Conditional inactivation of the mouse Wwox tumor suppressor gene recapitulates the null phenotype. J. Cell. Physiol. 2013, 228, 1377–1382. [Google Scholar] [CrossRef] [Green Version]
  44. Repudi, S.; Steinberg, D.J.; Elazar, N.; Breton, V.L.; Aquilino, M.S.; Saleem, A.; Abu-Swai, S.; Vainshtein, A.; Eshed-Eisenbach, Y.; Vijayaragavan, B.; et al. Neuronal deletion of Wwox, associated with WOREE syndrome, causes epilepsy and myelin defects. Brain 2021. [Google Scholar] [CrossRef] [PubMed]
  45. Del Mare, S.; Husanie, H.; Iancu, O.; Abu-Odeh, M.; Evangelou, K.; Lovat, F.; Volinia, S.; Gordon, J.; Amir, G.; Stein, J.; et al. WWOX and p53 dysregulation synergize to drive the development of osteosarcoma. Cancer Res. 2016, 76, 6107–6117. [Google Scholar] [CrossRef] [Green Version]
  46. Abdeen, S.K.; Salah, Z.; Khawaled, S.; Aqeilan, R.I. Characterization of WWOX inactivation in murine mammary gland development. J. Cell. Physiol. 2013, 228, 1391–1396. [Google Scholar] [CrossRef]
  47. Abdeen, S.K.; Ben-David, U.; Shweiki, A.; Maly, B.; Aqeilan, R.I. Somatic loss of WWOX is associated with TP53 perturbation in basal-like breast cancer. Cell Death Dis. 2018, 9, 832. [Google Scholar] [CrossRef] [Green Version]
  48. Mallaret, M.; Synofzik, M.; Lee, J.; Sagum, C.A.; Mahajnah, M.; Sharkia, R.; Drouot, N.; Renaud, M.; Klein, F.A.C.; Anheim, M.; et al. The tumour suppressor gene WWOX is mutated in autosomal recessive cerebellar ataxia with epilepsy and mental retardation. Brain 2014, 137, 411–419. [Google Scholar] [CrossRef] [Green Version]
  49. Hussain, T.; Kil, H.; Hattiangady, B.; Lee, J.; Kodali, M.; Shuai, B.; Attaluri, S.; Takata, Y.; Shen, J.; Abba, M.C.; et al. Wwox deletion leads to reduced GABA-ergic inhibitory interneuron numbers and activation of microglia and astrocytes in mouse hippocampus. Neurobiol. Dis. 2019, 121, 163–176. [Google Scholar] [CrossRef]
  50. Cheng, Y.Y.; Chou, Y.T.; Lai, F.J.; Jan, M.S.; Chang, T.H.; Jou, I.M.; Chen, P.S.; Lo, J.Y.; Huang, S.S.; Chang, N.S.; et al. Wwox deficiency leads to neurodevelopmental and degenerative neuropathies and glycogen synthase kinase 3β-mediated epileptic seizure activity in mice. Acta Neuropathol. Commun. 2020, 8, 6. [Google Scholar] [CrossRef]
  51. Kriegstein, A.; Alvarez-Buylla, A. The glial nature of embryonic and adult neural stem cells. Annu. Rev. Neurosci. 2009, 32, 149–184. [Google Scholar] [CrossRef] [Green Version]
  52. Hansen, D.V.; Lui, J.H.; Parker, P.R.L.; Kriegstein, A.R. Neurogenic radial glia in the outer subventricular zone of human neocortex. Nature 2010, 464, 554–561. [Google Scholar] [CrossRef]
  53. Nowakowski, T.J.; Pollen, A.A.; Sandoval-Espinosa, C.; Kriegstein, A.R. Transformation of the Radial Glia Scaffold Demarcates Two Stages of Human Cerebral Cortex Development. Neuron 2016, 91, 1219–1227. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Pollen, A.A.; Nowakowski, T.J.; Chen, J.; Retallack, H.; Sandoval-Espinosa, C.; Nicholas, C.R.; Shuga, J.; Liu, S.J.; Oldham, M.C.; Diaz, A.; et al. Molecular Identity of Human Outer Radial Glia during Cortical Development. Cell 2015, 163, 55–67. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Chang, N.S.; Doherty, J.; Ensign, A.; Lewis, J.; Heath, J.; Schultz, L.; Chen, S.T.; Oppermann, U. Molecular mechanisms underlying WOX1 activation during apoptotic and stress responses. Biochem. Pharmacol. 2003, 66, 1347–1354. [Google Scholar] [CrossRef]
  56. Chang, N.S.; Doherty, J.; Ensign, A. JNK1 physically interacts with WW domain-containing oxidoreductase (WOX1) and inhibits WOX1-mediated apoptosis. J. Biol. Chem. 2003, 278, 9195–9202. [Google Scholar] [CrossRef] [Green Version]
  57. Steinberg, D.J.; Repudi, S.; Saleem, A.; Kustanovich, I.; Viukov, S.; Abudiab, B.; Banne, E.; Mahajnah, M.; Hanna, J.H.; Stern, S.; et al. Modeling genetic epileptic encephalopathies using brain organoids. EMBO Mol. Med. 2021, 13, e13610. [Google Scholar] [CrossRef]
  58. Simons, M.; Trajkovic, K. Neuron-glia communication in the control of oligodencrocyte function and myelin biogenesis. J. Cell Sci. 2006, 119, 4381–4389. [Google Scholar] [CrossRef] [Green Version]
  59. Emery, B. Regulation of oligodendrocyte differentiation and myelination. Science 2010, 330, 779–782. [Google Scholar] [CrossRef] [Green Version]
  60. Zuchero, J.B.; Barres, B.A. Intrinsic and extrinsic control of oligodendrocyte development. Curr. Opin. Neurobiol. 2013, 23, 914–920. [Google Scholar] [CrossRef] [Green Version]
  61. Clemens, B. Pathological theta oscillations in idiopathic generalised epilepsy. Clin. Neurophysiol. 2004, 115, 1436–1441. [Google Scholar] [CrossRef] [PubMed]
  62. Bragin, A.; Engel, J. Slow Waves Associated with Seizure Activity. In Computational Neuroscience in Epilepsy; Elsevier Inc.: Amsterdam, The Netherlands, 2008; pp. 440–453. ISBN 9780123736499. [Google Scholar]
  63. Guirgis, M.; Chinvarun, Y.; Carlen, P.L.; Bardakjian, B.L. The role of delta-modulated high frequency oscillations in seizure state classification. In Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 3–7 July 2013; 2013; pp. 6595–6598. [Google Scholar]
  64. Haddad, T.; Ben-Hamida, N.; Talbi, L.; Lakhssassi, A.; Aouini, S. Temporal epilepsy seizures monitoring and prediction using cross-correlation and chaos theory. Healthc. Technol. Lett. 2014, 1, 45–50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Gibson, E.M.; Geraghty, A.C.; Monje, M. Bad wrap: Myelin and myelin plasticity in health and disease. Dev. Neurobiol. 2018, 78, 123–135. [Google Scholar] [CrossRef] [PubMed]
  66. Drenthen, G.S.; Backes, W.H.; Aldenkamp, A.P.; Vermeulen, R.J.; Klinkenberg, S.; Jansen, J.F.A. On the merits of non-invasive myelin imaging in epilepsy, a literature review. J. Neurosci. Methods 2020, 338, 108687. [Google Scholar] [CrossRef] [PubMed]
  67. Breton, V.L.; Aquilino, M.S.; Repudi, S.; Saleem, A.; Mylvaganam, S.; Abu-Swai, S.; Bardakjian, B.L.; Aqeilan, R.I.; Carlen, P.L. Altered neocortical oscillations and cellular excitability in an in vitro Wwox knockout mouse model of epileptic encephalopathy. Neurobiol. Dis. 2021, 160, 105529. [Google Scholar] [CrossRef]
  68. Chang, N.S.; Hsu, L.J.; Lin, Y.S.; Lai, F.J.; Sheu, H.M. WW domain-containing oxidoreductase: A candidate tumor suppressor. Trends Mol. Med. 2007, 13, 12–22. [Google Scholar] [CrossRef]
  69. Kurek, K.C.; Del Mare, S.; Salah, Z.; Abdeen, S.; Sadiq, H.; Lee, S.H.; Gaudio, E.; Zanesi, N.; Jones, K.B.; DeYoung, B.; et al. Frequent attenuation of the WWOX tumor suppressor in osteosarcoma is associated with increased tumorigenicity and aberrant RUNX2 expression. Cancer Res. 2010, 70, 5577–5586. [Google Scholar] [CrossRef] [Green Version]
  70. Chiang, M.-F.; Chou, P.-Y.; Wang, W.-J.; Sze, C.-I.; Chang, N.-S. Tumor Suppressor WWOX and p53 Alterations and Drug Resistance in Glioblastomas. Front. Oncol. 2013, 3, 43. [Google Scholar] [CrossRef] [Green Version]
  71. Aldaz, C.M.; Ferguson, B.W.; Abba, M.C. WWOX at the crossroads of cancer, metabolic syndrome related traits and CNS pathologies. Biochim. Biophys. Acta Rev. Cancer 2014, 1846, 188–200. [Google Scholar] [CrossRef] [Green Version]
  72. Del Mare, S.; Aqeilan, R.I. Tumor Suppressor WWOX inhibits osteosarcoma metastasis by modulating RUNX2 function. Sci. Rep. 2015, 5, 12959. [Google Scholar] [CrossRef] [Green Version]
  73. Richards, R.I.; Choo, A.; Lee, C.S.; Dayan, S.; O’Keefe, L. WWOX, the chromosomal fragile site FRA16D spanning gene: Its role in metabolism and contribution to cancer. Exp. Biol. Med. 2015, 240, 338–344. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Abdeen, S.K.; Aqeilan, R.I. Decoding the link between WWOX and p53 in aggressive breast cancer. Cell Cycle 2019, 18, 1177–1186. [Google Scholar] [CrossRef] [PubMed]
  75. Khawaled, S.; Suh, S.S.; Abdeen, S.K.; Monin, J.; Distefano, R.; Nigita, G.; Croce, C.M.; Aqeilan, R.I. WWOX Inhibits Metastasis of Triple-Negative Breast Cancer Cells via Modulation of miRNAs. Cancer Res. 2019, 79, 1784–1798. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Khawaled, S.; Nigita, G.; Distefano, R.; Oster, S.; Suh, S.-S.; Smith, Y.; Khalaileh, A.; Peng, Y.; Croce, C.M.; Geiger, T.; et al. Pleiotropic tumor suppressor functions of WWOX antagonize metastasis. Signal Transduct. Target. Ther. 2020, 5, 43. [Google Scholar] [CrossRef] [Green Version]
  77. Gribaa, M.; Salih, M.; Anheim, M.; Lagier-Tourenne, C.; H’mida, D.; Drouot, N.; Mohamed, A.; Elmalik, S.; Kabiraj, M.; Al-Rayess, M.; et al. A new form of childhood onset, autosomal recessive spinocerebellar ataxia and epilepsy is localized at 16q21-q23. Brain 2007, 130, 1921–1928. [Google Scholar] [CrossRef] [Green Version]
  78. Abdel-Salam, G.; Thoenes, M.; Afifi, H.H.; Körber, F.; Swan, D.; Bolz, H.J. The supposed tumor suppressor gene WWOX is mutated in an early lethal microcephaly syndrome with epilepsy, growth retardation and retinal degeneration. Orphanet J. Rare Dis. 2014, 9, 12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Peredo, D.E.; Hannibal, M.C. The floppy infant: Evaluation of hypotonia. Pediatr. Rev. 2009, 30, e66–e76. [Google Scholar] [CrossRef] [PubMed]
  80. Ben-Salem, S.; Al-Shamsi, A.M.; John, A.; Ali, B.R.; Al-Gazali, L. A Novel Whole Exon Deletion in WWOX Gene Causes Early Epilepsy, Intellectual Disability and Optic Atrophy. J. Mol. Neurosci. 2015, 56, 17–23. [Google Scholar] [CrossRef]
  81. Mignot, C.; Lambert, L.; Pasquier, L.; Bienvenu, T.; Delahaye-Duriez, A.; Keren, B.; Lefranc, J.; Saunier, A.; Allou, L.; Roth, V.; et al. WWOX-related encephalopathies: Delineation of the phenotypical spectrum and emerging genotype-phenotype correlation. J. Med. Genet. 2015, 52, 61–70. [Google Scholar] [CrossRef]
  82. Piard, J.; Hawkes, L.; Milh, M.; Villard, L.; Borgatti, R.; Romaniello, R.; Fradin, M.; Capri, Y.; Héron, D.; Nougues, M.-C.; et al. The phenotypic spectrum of WWOX-related disorders: 20 additional cases of WOREE syndrome and review of the literature. Genet. Med. 2018, 21, 1308–1318. [Google Scholar] [CrossRef] [Green Version]
  83. Valduga, M.; Philippe, C.; Lambert, L.; Bach-Segura, P.; Schmitt, E.; Masutti, J.P.; François, B.; Pinaud, P.; Vibert, M.; Jonveaux, P. WWOX and severe autosomal recessive epileptic encephalopathy: First case in the prenatal period. J. Hum. Genet. 2015, 60, 267–271. [Google Scholar] [CrossRef] [PubMed]
  84. Weisz-Hubshman, M.; Meirson, H.; Michaelson-Cohen, R.; Beeri, R.; Tzur, S.; Bormans, C.; Modai, S.; Shomron, N.; Shilon, Y.; Banne, E.; et al. Novel WWOX deleterious variants cause early infantile epileptic encephalopathy, severe developmental delay and dysmorphism among Yemenite Jews. Eur. J. Paediatr. Neurol. 2019, 23, 418–426. [Google Scholar] [CrossRef] [PubMed]
  85. Yang, C.; Zhang, Y.; Song, Z.; Yi, Z.; Li, F. Novel compound heterozygous mutations in the WWOX gene cause early infantile epileptic encephalopathy. Int. J. Dev. Neurosci. 2019, 79, 45–48. [Google Scholar] [CrossRef] [PubMed]
  86. Su, T.; Yan, Y.; Xu, S.; Zhang, K.; Xu, S. Early onset epileptic encephalopathy caused by novel compound heterozygous mutation of WWOX gene. Int. J. Dev. Neurosci. 2020, 80, 157–161. [Google Scholar] [CrossRef] [PubMed]
  87. Shaukat, Q.; Hertecant, J.; El-Hattab, A.W.; Ali, B.R.; Suleiman, J. West syndrome, developmental and epileptic encephalopathy, and severe CNS disorder associated with WWOX mutations. Epileptic Disord. 2018, 20, 401–412. [Google Scholar] [CrossRef]
  88. Noguchi, S.; Arakawa, T.; Fukuda, S.; Furuno, M.; Hasegawa, A.; Hori, F.; Ishikawa-Kato, S.; Kaida, K.; Kaiho, A.; Kanamori-Katayama, M.; et al. FANTOM5 CAGE profiles of human and mouse samples. Sci. Data 2017, 4, 170107. [Google Scholar] [CrossRef] [Green Version]
  89. Kośla, K.; Płuciennik, E.; Styczeń-Binkowska, E.; Nowakowska, M.; Orzechowska, M.; Bednarek, A.K. The WWOX Gene Influences Cellular Pathways in the Neuronal Differentiation of Human Neural Progenitor Cells. Front. Cell. Neurosci. 2019, 13, 391. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  90. Abu-Remaileh, M.; Aqeilan, R.I. The tumor suppressor WW domain-containing oxidoreductase modulates cell metabolism. Exp. Biol. Med. 2015, 240, 345–350. [Google Scholar] [CrossRef] [Green Version]
  91. Abu-Remaileh, M.; Khalaileh, A.; Pikarsky, E.; Aqeilan, R.I. WWOX controls hepatic HIF1α to suppress hepatocyte proliferation and neoplasia article. Cell Death Dis. 2018, 9, 511. [Google Scholar] [CrossRef] [Green Version]
  92. Encinas, M.; Iglesias, M.; Liu, Y.; Wang, H.; Muhaisen, A.; Ceña, V.; Gallego, C.; Comella, J.X. Sequential treatment of SH-SY5Y cells with retinoic acid and brain-derived neurotrophic factor gives rise to fully differentiated, neurotrophic factor-dependent, human neuron-like cells. J. Neurochem. 2000, 75, 991–1003. [Google Scholar] [CrossRef]
  93. Wang, H.-Y.; Juo, L.-I.; Lin, Y.-T.; Hsiao, M.; Lin, J.-T.; Tsai, C.-H.; Tzeng, Y.-H.; Chuang, Y.-C.; Chang, N.-S.; Yang, C.-N.; et al. WW domain-containing oxidoreductase promotes neuronal differentiation via negative regulation of glycogen synthase kinase 3b. Cell Death Differ. 2012, 19, 1049–1059. [Google Scholar] [CrossRef] [Green Version]
  94. Sze, C.I.; Su, M.; Pugazhenthi, S.; Jambal, P.; Hsu, L.J.; Heath, J.; Schultz, L.; Chang, N.S. Down-regulation of WW Domain-containing Oxidoreductase Induces Tau Phosphorylation in vitro: A Potential Role in Alzheimer’s Disease. J. Biol. Chem. 2004, 279, 30498–30506. [Google Scholar] [CrossRef] [Green Version]
  95. Hernández, F.; Lucas, J.J.; Cuadros, R.; Avila, J. GSK-3 dependent phosphoepitopes recognized by PHF-1 and AT-8 antibodies are present in different tau isoforms. Neurobiol. Aging 2003, 24, 1087–1094. [Google Scholar] [CrossRef] [PubMed]
  96. Hur, E.-M.; Zhou, F.-Q. GSK3 signalling in neural development. Nat. Rev. Neurosci. 2010, 11, 539–551. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Takahashi, K.; Tanabe, K.; Ohnuki, M.; Narita, M.; Ichisaka, T.; Tomoda, K.; Yamanaka, S. Induction of Pluripotent Stem Cells from Adult Human Fibroblasts by Defined Factors. Cell 2007, 131, 861–872. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  98. Hanna, J.H.; Saha, K.; Jaenisch, R. Pluripotency and cellular reprogramming: Facts, hypotheses, unresolved issues. Cell 2010, 143, 508–525. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  99. Merkle, F.T.; Eggan, K. Modeling Human Disease with Pluripotent Stem Cells: From Genome Association to Function. Cell Stem Cell 2013, 12, 656–668. [Google Scholar] [CrossRef] [Green Version]
  100. Trounson, A.; Shepard, K.A.; DeWitt, N.D. Human disease modeling with induced pluripotent stem cells. Curr. Opin. Genet. Dev. 2012, 22, 509–516. [Google Scholar] [CrossRef]
  101. Weinberger, L.; Ayyash, M.; Novershtern, N.; Hanna, J.H. Dynamic stem cell states: Naive to primed pluripotency in rodents and humans. Nat. Rev. Mol. Cell Biol. 2016, 17, 155–169. [Google Scholar] [CrossRef]
  102. Clevers, H. Modeling Development and Disease with Organoids. Cell 2016, 165, 1586–1597. [Google Scholar] [CrossRef] [Green Version]
  103. Kim, J.; Koo, B.K.; Knoblich, J.A. Human organoids: Model systems for human biology and medicine. Nat. Rev. Mol. Cell Biol. 2020, 21, 571–584. [Google Scholar] [CrossRef] [PubMed]
  104. Aqeilan, R.I. Engineering organoids: A promising platform to understand biology and treat diseases. Cell Death Differ. 2020, 28, 1–4. [Google Scholar] [CrossRef] [PubMed]
  105. Huch, M.; Koo, B.K. Modeling mouse and human development using organoid cultures. Development 2015, 142, 3113–3125. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Amin, N.D.; Paşca, S.P. Building Models of Brain Disorders with Three-Dimensional Organoids. Neuron 2018, 100, 389–405. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  107. Di Lullo, E.; Kriegstein, A.R. The use of brain organoids to investigate neural development and disease. Nat. Rev. Neurosci. 2017, 18, 573–584. [Google Scholar] [CrossRef] [Green Version]
  108. Eiraku, M.; Watanabe, K.; Matsuo-Takasaki, M.; Kawada, M.; Yonemura, S.; Matsumura, M.; Wataya, T.; Nishiyama, A.; Muguruma, K.; Sasai, Y. Self-Organized Formation of Polarized Cortical Tissues from ESCs and Its Active Manipulation by Extrinsic Signals. Cell Stem Cell 2008, 3, 519–532. [Google Scholar] [CrossRef] [Green Version]
  109. Lancaster, M.A.; Renner, M.; Martin, C.A.; Wenzel, D.; Bicknell, L.S.; Hurles, M.E.; Homfray, T.; Penninger, J.M.; Jackson, A.P.; Knoblich, J.A. Cerebral organoids model human brain development and microcephaly. Nature 2013, 501, 373–379. [Google Scholar] [CrossRef] [PubMed]
  110. Pasca, A.M.; Sloan, S.A.; Clarke, L.E.; Tian, Y.; Makinson, C.D.; Huber, N.; Kim, C.H.; Park, J.Y.; O’Rourke, N.A.; Nguyen, K.D.; et al. Functional cortical neurons and astrocytes from human pluripotent stem cells in 3D culture. Nat. Methods 2015, 12, 671–678. [Google Scholar] [CrossRef] [Green Version]
  111. Chen, H.I.; Song, H.; Ming, G.-L. Applications of Human Brain Organoids to Clinical Problems. Dev. Dyn. 2018, 248, 53–64. [Google Scholar] [CrossRef] [Green Version]
  112. Mansour, A.A.F.; Schafer, S.T.; Gage, F.H. Cellular complexity in brain organoids: Current progress and unsolved issues. Semin. Cell Dev. Biol. 2021, 111, 32–39. [Google Scholar] [CrossRef]
  113. Benito-Kwiecinski, S.; Lancaster, M.A. Brain organoids: Human neurodevelopment in a dish. Cold Spring Harb. Perspect. Biol. 2020, 12, a035709. [Google Scholar] [CrossRef] [Green Version]
  114. Kadoshima, T.; Sakaguchi, H.; Nakano, T.; Soen, M.; Ando, S.; Eiraku, M.; Sasai, Y. Self-organization of axial polarity, inside-out layer pattern, and species-specific progenitor dynamics in human ES cell-derived neocortex. Proc. Natl. Acad. Sci. USA 2013, 110, 20284–20289. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  115. Qian, X.; Nguyen, H.N.; Song, M.M.; Hadiono, C.; Ogden, S.C.; Hammack, C.; Yao, B.; Hamersky, G.R.; Jacob, F.; Zhong, C.; et al. Brain-Region-Specific Organoids Using Mini-bioreactors for Modeling ZIKV Exposure. Cell 2016, 165, 1238–1254. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Lancaster, M.A.; Corsini, N.S.; Wolfinger, S.; Gustafson, E.H.; Phillips, A.W.; Burkard, T.R.; Otani, T.; Livesey, F.J.; Knoblich, J.A. Guided self-organization and cortical plate formation in human brain organoids. Nat. Biotechnol. 2017, 35, 659–666. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  117. Sakaguchi, H.; Kadoshima, T.; Soen, M.; Narii, N.; Ishida, Y.; Ohgushi, M.; Takahashi, J.; Eiraku, M.; Sasai, Y. Generation of functional hippocampal neurons from self-organizing human embryonic stem cell-derived dorsomedial telencephalic tissue. Nat. Commun. 2015, 6, 8896. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  118. Muguruma, K.; Nishiyama, A.; Kawakami, H.; Hashimoto, K.; Sasai, Y. Self-organization of polarized cerebellar tissue in 3D culture of human pluripotent stem cells. Cell Rep. 2015, 10, 537–550. [Google Scholar] [CrossRef] [Green Version]
  119. Duval, N.; Vaslin, C.; Barata, T.C.; Frarma, Y.; Contremoulins, V.; Baudin, X.; Nedelec, S.; Ribes, V.C. Bmp4 patterns smad activity and generates stereotyped cell fate organization in spinal organoids. Development 2019, 146, dev175430. [Google Scholar] [CrossRef] [Green Version]
  120. Meinhardt, A.; Eberle, D.; Tazaki, A.; Ranga, A.; Niesche, M.; Wilsch-Bräuninger, M.; Stec, A.; Schackert, G.; Lutolf, M.; Tanaka, E.M. 3D Reconstitution of the Patterned Neural Tube from Embryonic Stem Cells. Stem Cell Rep. 2014, 3, 987–999. [Google Scholar] [CrossRef] [Green Version]
  121. Suga, H.; Kadoshima, T.; Minaguchi, M.; Ohgushi, M.; Soen, M.; Nakano, T.; Takata, N.; Wataya, T.; Muguruma, K.; Miyoshi, H.; et al. Self-formation of functional adenohypophysis in three-dimensional culture. Nature 2011, 480, 57–62. [Google Scholar] [CrossRef]
  122. Ozone, C.; Suga, H.; Eiraku, M.; Kadoshima, T.; Yonemura, S.; Takata, N.; Oiso, Y.; Tsuji, T.; Sasai, Y. Functional anterior pituitary generated in self-organizing culture of human embryonic stem cells. Nat. Commun. 2016, 7, 10351. [Google Scholar] [CrossRef] [Green Version]
  123. Bagley, J.A.; Reumann, D.; Bian, S.; Lévi-Strauss, J.; Knoblich, J.A. Fused cerebral organoids model interactions between brain regions. Nat. Methods 2017, 14, 743–751. [Google Scholar] [CrossRef] [PubMed]
  124. Xiang, Y.; Tanaka, Y.; Patterson, B.; Kang, Y.J.; Govindaiah, G.; Roselaar, N.; Cakir, B.; Kim, K.Y.; Lombroso, A.P.; Hwang, S.M.; et al. Fusion of Regionally Specified hPSC-Derived Organoids Models Human Brain Development and Interneuron Migration. Cell Stem Cell 2017, 21, 383–398.e7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  125. Pellegrini, L.; Bonfio, C.; Chadwick, J.; Begum, F.; Skehel, M.; Lancaster, M.A. Human CNS barrier-forming organoids with cerebrospinal fluid production. Science (80-) 2020, 369, eaaz5626. [Google Scholar] [CrossRef]
  126. Madeline A Lancaster, J.A.K.; Lancaster, M.A.; Knoblich, J.A. Generation of cerebral organoids from human pluripotent stem cells. Nat. Protoc. 2014, 9, 2329–2340. [Google Scholar] [CrossRef] [Green Version]
  127. Giandomenico, S.L.; Sutcliffe, M.; Lancaster, M.A. Generation and long-term culture of advanced cerebral organoids for studying later stages of neural development. Nat. Protoc. 2021, 16, 579–602. [Google Scholar] [CrossRef]
  128. Birey, F.; Andersen, J.; Makinson, C.D.; Islam, S.; Wei, W.; Huber, N.; Fan, H.C.; Metzler, K.R.C.; Panagiotakos, G.; Thom, N.; et al. Assembly of functionally integrated human forebrain spheroids. Nature 2017, 545, 54–59. [Google Scholar] [CrossRef] [Green Version]
  129. Kim, H.; Xu, R.; Padmashri, R.; Dunaevsky, A.; Liu, Y.; Dreyfus, C.F.; Jiang, P. Pluripotent Stem Cell-Derived Cerebral Organoids Reveal Human Oligodendrogenesis with Dorsal and Ventral Origins. Stem Cell Reports 2019, 12, 890–905. [Google Scholar] [CrossRef] [Green Version]
  130. Andersen, J.; Revah, O.; Miura, Y.; Thom, N.; Amin, N.D.; Kelley, K.W.; Singh, M.; Chen, X.; Thete, M.V.; Walczak, E.M.; et al. Generation of Functional Human 3D Cortico-Motor Assembloids. Cell 2020, 183, 1913–1929.e26. [Google Scholar] [CrossRef] [PubMed]
  131. Miura, Y.; Li, M.-Y.; Birey, F.; Ikeda, K.; Revah, O.; Thete, M.V.; Park, J.-Y.; Puno, A.; Lee, S.H.; Porteus, M.H.; et al. Generation of human striatal organoids and cortico-striatal assembloids from human pluripotent stem cells. Nat. Biotechnol. 2020, 38, 1421–1430. [Google Scholar] [CrossRef] [PubMed]
  132. Pasca, S.P. Assembling human brain organoids. Science 2019, 363, 126–127. [Google Scholar] [CrossRef] [PubMed]
  133. Marton, R.M.; Pașca, S.P. Organoid and Assembloid Technologies for Investigating Cellular Crosstalk in Human Brain Development and Disease. Trends Cell Biol. 2020, 30, 133–143. [Google Scholar] [CrossRef] [PubMed]
  134. Qian, X.; Su, Y.; Adam, C.D.; Deutschmann, A.U.; Pather, S.R.; Goldberg, E.M.; Su, K.; Li, S.; Lu, L.; Jacob, F.; et al. Sliced Human Cortical Organoids for Modeling Distinct Cortical Layer Formation. Cell Stem Cell 2020, 26, 766–781.e9. [Google Scholar] [CrossRef] [PubMed]
  135. Cederquist, G.Y.; Asciolla, J.J.; Tchieu, J.; Walsh, R.M.; Cornacchia, D.; Resh, M.D.; Studer, L. Specification of positional identity in forebrain organoids. Nat. Biotechnol. 2019, 37, 436–444. [Google Scholar] [CrossRef]
  136. Cakir, B.; Xiang, Y.; Tanaka, Y.; Kural, M.H.; Parent, M.; Kang, Y.J.; Chapeton, K.; Patterson, B.; Yuan, Y.; He, C.S.; et al. Engineering of human brain organoids with a functional vascular-like system. Nat. Methods 2019, 16, 1169–1175. [Google Scholar] [CrossRef] [PubMed]
  137. Shi, Y.; Sun, L.; Wang, M.; Liu, J.; Zhong, S.; Li, R.; Li, P.; Guo, L.; Fang, A.; Chen, R.; et al. Vascularized human cortical organoids (vOrganoids) model cortical development in vivo. PLoS Biol. 2020, 18, e3000705. [Google Scholar] [CrossRef]
  138. Ormel, P.R.; Vieira de Sá, R.; van Bodegraven, E.J.; Karst, H.; Harschnitz, O.; Sneeboer, M.A.M.; Johansen, L.E.; van Dijk, R.E.; Scheefhals, N.; Berdenis van Berlekom, A.; et al. Microglia innately develop within cerebral organoids. Nat. Commun. 2018, 9, 1–14. [Google Scholar] [CrossRef]
  139. Lin, Y.-T.; Seo, J.; Gao, F.; Feldman, H.M.; Wen, H.-L.; Penney, J.; Cam, H.P.; Gjoneska, E.; Raja, W.K.; Cheng, J.; et al. APOE4 Causes Widespread Molecular and Cellular Alterations Associated with Alzheimer’s Disease Phenotypes in Human iPSC-Derived Brain Cell Types. Neuron 2018, 98, 1141–1154.e7. [Google Scholar] [CrossRef] [Green Version]
  140. Abud, E.M.; Ramirez, R.N.; Martinez, E.S.; Healy, L.M.; Nguyen, C.H.H.; Newman, S.A.; Yeromin, A.V.; Scarfone, V.M.; Marsh, S.E.; Fimbres, C.; et al. iPSC-Derived Human Microglia-like Cells to Study Neurological Diseases. Neuron 2017, 94, 278–293.e9. [Google Scholar] [CrossRef] [Green Version]
  141. Mansour, A.-A.A.; Gonçalves, J.T.; Bloyd, C.W.; Li, H.; Fernandes, S.; Quang, D.; Johnston, S.; Parylak, S.L.; Jin, X.; Gage, F.H. An in vivo model of functional and vascularized human brain organoids. Nat. Biotechnol. 2018, 36, 432–441. [Google Scholar] [CrossRef]
  142. Bhaduri, A.; Andrews, M.G.; Leon, W.M.; Jung, D.D.; Shin, D.; Allen, D.; Jung, D.D.; Schmunk, G.; Haeussler, M.; Salma, J.; et al. Cell stress in cortical organoids impairs molecular subtype specification. Nature 2020, 578, 142–148. [Google Scholar] [CrossRef]
  143. Sidhaye, J.; Knoblich, J.A. Brain organoids: An ensemble of bioassays to investigate human neurodevelopment and disease. Cell Death Differ. 2021, 28, 52–67. [Google Scholar] [CrossRef]
  144. Velasco, S.; Kedaigle, A.J.; Simmons, S.K.; Nash, A.; Rocha, M.; Quadrato, G.; Paulsen, B.; Nguyen, L.; Adiconis, X.; Regev, A.; et al. Individual brain organoids reproducibly form cell diversity of the human cerebral cortex. Nature 2019, 570, 523–527. [Google Scholar] [CrossRef] [PubMed]
  145. Kanton, S.; Boyle, M.J.; He, Z.; Santel, M.; Weigert, A.; Sanchís-Calleja, F.; Guijarro, P.; Sidow, L.; Fleck, J.S.; Han, D.; et al. Organoid single-cell genomic atlas uncovers human-specific features of brain development. Nature 2019, 574, 418–422. [Google Scholar] [CrossRef]
  146. Yoon, S.J.; Elahi, L.S.; Pașca, A.M.; Marton, R.M.; Gordon, A.; Revah, O.; Miura, Y.; Walczak, E.M.; Holdgate, G.M.; Fan, H.C.; et al. Reliability of human cortical organoid generation. Nat. Methods 2019, 16, 75–78. [Google Scholar] [CrossRef] [PubMed]
  147. Gordon, A.; Yoon, S.-J.; Tran, S.S.; Makinson, C.D.; Park, J.Y.; Andersen, J.; Valencia, A.M.; Horvath, S.; Xiao, X.; Huguenard, J.R.; et al. Long-term maturation of human cortical organoids matches key early postnatal transitions. Nat. Neurosci. 2021, 24, 331–342. [Google Scholar] [CrossRef] [PubMed]
  148. Madhavan, M.; Nevin, Z.S.; Shick, H.E.; Garrison, E.; Clarkson-Paredes, C.; Karl, M.; Clayton, B.L.L.; Factor, D.C.; Allan, K.C.; Barbar, L.; et al. Induction of myelinating oligodendrocytes in human cortical spheroids. Nat. Methods 2018, 15, 700–706. [Google Scholar] [CrossRef] [PubMed]
  149. Marton, R.M.; Miura, Y.; Sloan, S.A.; Li, Q.; Revah, O.; Levy, R.J.; Huguenard, J.R.; Pașca, S.P. Differentiation and maturation of oligodendrocytes in human three-dimensional neural cultures. Nat. Neurosci. 2019, 22, 484–491. [Google Scholar] [CrossRef]
  150. Sloan, S.A.; Darmanis, S.; Huber, N.; Khan, T.A.; Birey, F.; Caneda, C.; Reimer, R.; Quake, S.R.; Barres, B.A.; Paşca, S.P. Human Astrocyte Maturation Captured in 3D Cerebral Cortical Spheroids Derived from Pluripotent Stem Cells. Neuron 2017, 95, 779–790.e6. [Google Scholar] [CrossRef]
  151. Li, Y.; Muffat, J.; Omer, A.; Bosch, I.; Lancaster, M.A.; Sur, M.; Gehrke, L.; Knoblich, J.A.; Jaenisch, R. Induction of Expansion and Folding in Human Cerebral Organoids. Cell Stem Cell 2017, 20, 385–396.e3. [Google Scholar] [CrossRef] [Green Version]
  152. Karzbrun, E.; Kshirsagar, A.; Cohen, S.R.; Hanna, J.H.; Reiner, O. Human brain organoids on a chip reveal the physics of folding. Nat. Phys. 2018, 14, 515–522. [Google Scholar] [CrossRef]
  153. Watanabe, M.; Buth, J.E.; Vishlaghi, N.; de la Torre-Ubieta, L.; Taxidis, J.; Khakh, B.S.; Coppola, G.; Pearson, C.A.; Yamauchi, K.; Gong, D.; et al. Self-Organized Cerebral Organoids with Human-Specific Features Predict Effective Drugs to Combat Zika Virus Infection. Cell Rep. 2017, 21, 517–532. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  154. Krenn, V.; Bosone, C.; Burkard, T.R.; Spanier, J.; Kalinke, U.; Calistri, A.; Salata, C.; Rilo Christoff, R.; Pestana Garcez, P.; Mirazimi, A.; et al. Organoid modeling of Zika and herpes simplex virus 1 infections reveals virus-specific responses leading to microcephaly. Cell Stem Cell 2021, 28, 1362–1379.e7. [Google Scholar] [CrossRef]
  155. Ramani, A.; Müller, L.; Ostermann, P.N.; Gabriel, E.; Abida-Islam, P.; Müller-Schiffmann, A.; Mariappan, A.; Goureau, O.; Gruell, H.; Walker, A.; et al. SARS -CoV-2 targets neurons of 3D human brain organoids. EMBO J. 2020, 39, e106230. [Google Scholar] [CrossRef] [PubMed]
  156. Pellegrini, L.; Albecka, A.; Mallery, D.L.; Kellner, M.J.; Paul, D.; Carter, A.P.; James, L.C.; Lancaster, M.A. SARS-CoV-2 Infects the Brain Choroid Plexus and Disrupts the Blood-CSF Barrier in Human Brain Organoids. Cell Stem Cell 2020, 27, 951–961.e5. [Google Scholar] [CrossRef] [PubMed]
  157. Bian, S.; Repic, M.; Guo, Z.; Kavirayani, A.; Burkard, T.; Bagley, J.A.; Krauditsch, C.; Knoblich, J.A. Genetically engineered cerebral organoids model brain tumor formation. Nat. Methods 2018, 15, 631–639. [Google Scholar] [CrossRef]
  158. Linkous, A.; Balamatsias, D.; Snuderl, M.; Edwards, L.; Miyaguchi, K.; Milner, T.; Reich, B.; Cohen-Gould, L.; Storaska, A.; Nakayama, Y.; et al. Modeling Patient-Derived Glioblastoma with Cerebral Organoids. Cell Rep. 2019, 26, 3203–3211.e5. [Google Scholar] [CrossRef] [Green Version]
  159. Ogawa, J.; Pao, G.M.; Shokhirev, M.N.; Verma, I.M. Glioblastoma Model Using Human Cerebral Organoids. Cell Rep. 2018, 23, 1220–1229. [Google Scholar] [CrossRef] [Green Version]
  160. Bhaduri, A.; Di Lullo, E.; Jung, D.; Müller, S.; Crouch, E.E.; Espinosa, C.S.; Ozawa, T.; Alvarado, B.; Spatazza, J.; Cadwell, C.R.; et al. Outer Radial Glia-like Cancer Stem Cells Contribute to Heterogeneity of Glioblastoma. Cell Stem Cell 2020, 26, 48–63.e6. [Google Scholar] [CrossRef]
  161. Li, R.; Sun, L.; Fang, A.; Li, P.; Wu, Q.; Wang, X. Recapitulating cortical development with organoid culture in vitro and modeling abnormal spindle-like (ASPM related primary) microcephaly disease. Protein Cell 2017, 8, 823–833. [Google Scholar] [CrossRef]
  162. Zhang, W.; Yang, S.-L.; Yang, M.; Herrlinger, S.; Shao, Q.; Collar, J.L.; Fierro, E.; Shi, Y.; Liu, A.; Lu, H.; et al. Modeling microcephaly with cerebral organoids reveals a WDR62–CEP170–KIF2A pathway promoting cilium disassembly in neural progenitors. Nat. Commun. 2019, 10, 2612. [Google Scholar] [CrossRef] [Green Version]
  163. Quadrato, G.; Brown, J.; Arlotta, P. The promises and challenges of human brain organoids as models of neuropsychiatric disease. Nat. Med. 2016, 22, 1220–1228. [Google Scholar] [CrossRef]
  164. Ye, F.; Kang, E.; Yu, C.; Qian, X.; Jacob, F.; Yu, C.; Mao, M.; Poon, R.Y.C.; Kim, J.; Song, H.; et al. DISC1 Regulates Neurogenesis via Modulating Kinetochore Attachment of Ndel1/Nde1 during Mitosis. Neuron 2017, 96, 1041–1054.e5. [Google Scholar] [CrossRef] [Green Version]
  165. Srikanth, P.; Lagomarsino, V.N.; Muratore, C.R.; Ryu, S.C.; He, A.; Taylor, W.M.; Zhou, C.; Arellano, M.; Young-Pearse, T.L. Shared effects of DISC1 disruption and elevated WNT signaling in human cerebral organoids. Transl. Psychiatry 2018, 8, 77. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  166. Mariani, J.; Coppola, G.; Zhang, P.; Abyzov, A.; Provini, L.; Tomasini, L.; Amenduni, M.; Szekely, A.; Palejev, D.; Wilson, M.; et al. FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Differentiation in Autism Spectrum Disorders. Cell 2015, 162, 375–390. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  167. Schafer, S.T.; Paquola, A.C.M.; Stern, S.; Gosselin, D.; Ku, M.; Pena, M.; Kuret, T.J.M.; Liyanage, M.; Mansour, A.A.F.; Jaeger, B.N.; et al. Pathological priming causes developmental gene network heterochronicity in autistic subject-derived neurons. Nat. Neurosci. 2019, 22, 243–255. [Google Scholar] [CrossRef]
  168. Ghatak, S.; Dolatabadi, N.; Trudler, D.; Zhang, X.; Wu, Y.; Mohata, M.; Ambasudhan, R.; Talantova, M.; Lipton, S.A. Mechanisms of hyperexcitability in alzheimer’s disease hiPSC-derived neurons and cerebral organoids vs. Isogenic control. eLife 2019, 8, e50333. [Google Scholar] [CrossRef]
  169. Gonzalez, C.; Armijo, E.; Bravo-Alegria, J.; Becerra-Calixto, A.; Mays, C.E.; Soto, C. Modeling amyloid beta and tau pathology in human cerebral organoids. Mol. Psychiatry 2018, 23, 2363–2374. [Google Scholar] [CrossRef]
  170. Kim, H.; Park, H.J.; Choi, H.; Chang, Y.; Park, H.; Shin, J.; Kim, J.; Lengner, C.J.; Lee, Y.K.; Kim, J. Modeling G2019S-LRRK2 Sporadic Parkinson’s Disease in 3D Midbrain Organoids. Stem Cell Rep. 2019, 12, 518–531. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  171. Smits, L.M.; Reinhardt, L.; Reinhardt, P.; Glatza, M.; Monzel, A.S.; Stanslowsky, N.; Rosato-Siri, M.D.; Zanon, A.; Antony, P.M.; Bellmann, J.; et al. Modeling Parkinson’s disease in midbrain-like organoids. NPJ Park. Dis. 2019, 5, 5. [Google Scholar] [CrossRef] [Green Version]
  172. Seo, J.; Kritskiy, O.; Watson, L.A.; Barker, S.J.; Dey, D.; Raja, W.K.; Lin, Y.-T.; Ko, T.; Cho, S.; Penney, J.; et al. Inhibition of p25/Cdk5 Attenuates Tauopathy in Mouse and iPSC Models of Frontotemporal Dementia. J. Neurosci. 2017, 37, 9917–9924. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  173. Bershteyn, M.; Nowakowski, T.J.; Pollen, A.A.; Di Lullo, E.; Nene, A.; Wynshaw-Boris, A.; Kriegstein, A.R. Human iPSC-Derived Cerebral Organoids Model Cellular Features of Lissencephaly and Reveal Prolonged Mitosis of Outer Radial Glia. Cell Stem Cell 2017, 20, 435–449.e4. [Google Scholar] [CrossRef] [Green Version]
  174. Nieto-Estévez, V.; Hsieh, J. Human Brain Organoid Models of Developmental Epilepsies. Epilepsy Curr. 2020, 20, 282–290. [Google Scholar] [CrossRef]
  175. Blair, J.D.; Hockemeyer, D.; Bateup, H.S. Genetically engineered human cortical spheroid models of tuberous sclerosis. Nat. Med. 2018, 24, 1568–1578. [Google Scholar] [CrossRef] [PubMed]
  176. Sun, A.X.; Yuan, Q.; Fukuda, M.; Yu, W.; Yan, H.; Lim, G.G.Y.; Nai, M.H.; D’Agostino, G.A.; Tran, H.D.; Itahana, Y.; et al. Potassium channel dysfunction in human neuronal models of Angelman syndrome. Science 2019, 366, 1486–1492. [Google Scholar] [CrossRef] [PubMed]
  177. Samarasinghe, R.A.; Miranda, O.A.; Buth, J.E.; Mitchell, S.; Ferando, I.; Watanabe, M.; Allison, T.F.; Kurdian, A.; Fotion, N.N.; Gandal, M.J.; et al. Identification of neural oscillations and epileptiform changes in human brain organoids. Nat. Neurosci. 2021, 24, 1488–1500. [Google Scholar] [CrossRef]
  178. Hengel, H.; Bosso-Lefèvre, C.; Grady, G.; Szenker-Ravi, E.; Li, H.; Pierce, S.; Lebigot, É.; Tan, T.T.; Eio, M.Y.; Narayanan, G.; et al. Loss-of-function mutations in UDP-Glucose 6-Dehydrogenase cause recessive developmental epileptic encephalopathy. Nat. Commun. 2020, 11, 595. [Google Scholar] [CrossRef] [Green Version]
  179. Trujillo, C.A.; Gao, R.; Negraes, P.D.; Gu, J.; Buchanan, J.; Preissl, S.; Wang, A.; Wu, W.; Haddad, G.G.; Chaim, I.A.; et al. Complex Oscillatory Waves Emerging from Cortical Organoids Model Early Human Brain Network Development. Cell Stem Cell 2019, 25, 558–569.e7. [Google Scholar] [CrossRef] [PubMed]
  180. Schneider, L.; Pellegatta, S.; Favaro, R.; Pisati, F.; Roncaglia, P.; Testa, G.; Nicolis, S.K.; Finocchiaro, G.; D’Adda Di Fagagna, F. DNA damage in mammalian neural stem cells leads to astrocytic differentiation mediated by BMP2 signaling through JAK-STAT. Stem Cell Rep. 2013, 1, 123–138. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  181. Wang, W.; Esbensen, Y.; Kunke, D.; Suganthan, R.; Rachek, L.; Bjørås, M.; Eide, L. Mitochondrial DNA damage level determines neural stem cell differentiation fate. J. Neurosci. 2011, 31, 9746–9751. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  182. Bouteille, N.; Driouch, K.; Hage, P.El.; Sin, S.; Formstecher, E.; Camonis, J.; Lidereau, R.; Lallemand, F. Inhibition of the Wnt/β-catenin pathway by the WWOX tumor suppressor protein. Oncogene 2009, 28, 2569–2580. [Google Scholar] [CrossRef] [Green Version]
  183. Kobow, K.; Ziemann, M.; Kaipananickal, H.; Khurana, I.; Mühlebner, A.; Feucht, M.; Hainfellner, J.A.; Czech, T.; Aronica, E.; Pieper, T.; et al. Genomic DNA methylation distinguishes subtypes of human focal cortical dysplasia. Epilepsia 2019, 60, 1091–1103. [Google Scholar] [CrossRef] [Green Version]
  184. Fauser, S.; Huppertz, H.J.; Bast, T.; Strobl, K.; Pantazis, G.; Altenmueller, D.M.; Feil, B.; Rona, S.; Kurth, C.; Rating, D.; et al. Clinical characteristics in focal cortical dysplasia: A retrospective evaluation in a series of 120 patients. Brain 2006, 129, 1907–1916. [Google Scholar] [CrossRef] [PubMed]
  185. Tassi, L.; Colombo, N.; Garbelli, R.; Francione, S.; Lo Russo, G.; Mai, R.; Cardinale, F.; Cossu, M.; Ferrario, A.; Galli, C.; et al. Focal cortical dysplasia: Neuropathological subtypes, EEG, neuroimaging and surgical outcome. Brain 2002, 125, 1719–1732. [Google Scholar] [CrossRef] [Green Version]
  186. Repudi, S.; Kustanovich, I.; Abu-Swai, S.; Stern, S.; Aqeilan, R.I. Neonatal neuronal WWOX gene therapy rescues Wwox null phenotypes. bioRxiv 2021. [Google Scholar] [CrossRef] [PubMed]
  187. Esk, C.; Lindenhofe, D.; Haendeler, S.; Wester, R.A.; Pflug, F.; Schroeder, B.; Bagley, J.A.; Elling, U.; Zuber, J.; Von Haeseler, A.; et al. A human tissue screen identifies a regulator of ER secretion as a brain-size determinant. Science 2020, 370, 935–941. [Google Scholar] [CrossRef]
  188. Xia, K.; Zhang, J.; Ahn, M.; Jha, S.; Crowley, J.J.; Szatkiewicz, J.; Li, T.; Zou, F.; Zhu, H.; Hibar, D.; et al. Genome-wide association analysis identifies common variants influencing infant brain volumes. Transl. Psychiatry 2017, 7, e1188. [Google Scholar] [CrossRef] [Green Version]
  189. Landa, R.J.; Gross, A.L.; Stuart, E.A.; Faherty, A. Developmental Trajectories in Children With and Without Autism Spectrum Disorders: The First 3 Years. Child Dev. 2013, 84, 429–442. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  190. Masini, E.; Loi, E.; Vega-Benedetti, A.F.; Carta, M.; Doneddu, G.; Fadda, R.; Zavattari, P. An overview of the main genetic, epigenetic and environmental factors involved in autism spectrum disorder focusing on synaptic activity. Int. J. Mol. Sci. 2020, 21, 8290. [Google Scholar] [CrossRef]
  191. Leppa, V.M.M.; Kravitz, S.N.N.; Martin, C.L.L.; Andrieux, J.; Le Caignec, C.; Martin-Coignard, D.; DyBuncio, C.; Sanders, S.J.J.; Lowe, J.K.K.; Cantor, R.M.M.; et al. Rare Inherited and De Novo CNVs Reveal Complex Contributions to ASD Risk in Multiplex Families. Am. J. Hum. Genet. 2016, 99, 540–554. [Google Scholar] [CrossRef] [Green Version]
  192. Peter, B.; Dinu, V.; Liu, L.; Huentelman, M.; Naymik, M.; Lancaster, H.; Vose, C.; Schrauwen, I. Exome Sequencing of Two Siblings with Sporadic Autism Spectrum Disorder and Severe Speech Sound Disorder Suggests Pleiotropic and Complex Effects. Behav. Genet. 2019, 49, 399–414. [Google Scholar] [CrossRef]
  193. Bacchelli, E.; Cameli, C.; Viggiano, M.; Igliozzi, R.; Mancini, A.; Tancredi, R.; Battaglia, A.; Maestrini, E. An integrated analysis of rare CNV and exome variation in Autism Spectrum Disorder using the Infinium PsychArray. Sci. Rep. 2020, 10, 3198. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  194. Chen, X.; Shen, Y.; Zhang, F.; Chiang, C.; Pillalamarri, V.; Blumenthal, I.; Talkowski, M.; Wu, B.L.; Gusella, J.F. Molecular analysis of a deletion hotspot in the NRXN1 region reveals the involvement of short inverted repeats in deletion CNVs. Am. J. Hum. Genet. 2013, 92, 375–386. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  195. Bartnik, M.; Szczepanik, E.; Derwińska, K.; Wiśniowiecka-Kowalnik, B.; Gambin, T.; Sykulski, M.; Ziemkiewicz, K.; Keogonekdzior, M.; Gos, M.; Hoffman-Zacharska, D.; et al. Application of array comparative genomic hybridization in 102 patients with epilepsy and additional neurodevelopmental disorders. Am. J. Med. Genet. Part B Neuropsychiatr. Genet. 2012, 159B, 760–771. [Google Scholar] [CrossRef]
  196. Long, J.M.; Holtzman, D.M. Alzheimer Disease: An Update on Pathobiology and Treatment Strategies. Cell 2019, 179, 312–339. [Google Scholar] [CrossRef]
  197. Migliaccio, R.; Agosta, F.; Possin, K.L.; Canu, E.; Filippi, M.; Rabinovici, G.D.; Rosen, H.J.; Miller, B.L.; Gorno-Tempini, M.L. Mapping the progression of atrophy in early- and late-onset alzheimer’s disease. J. Alzheimer’s Dis. 2015, 46, 351–364. [Google Scholar] [CrossRef]
  198. Selkoe, D.J.; Hardy, J. The amyloid hypothesis of Alzheimer’s disease at 25 years. EMBO Mol. Med. 2016, 8, 595–608. [Google Scholar] [CrossRef] [PubMed]
  199. Keable, A.; Fenna, K.; Yuen, H.M.; Johnston, D.A.; Smyth, N.R.; Smith, C.; Salman, R.A.S.; Samarasekera, N.; Nicoll, J.A.R.; Attems, J.; et al. Deposition of amyloid β in the walls of human leptomeningeal arteries in relation to perivascular drainage pathways in cerebral amyloid angiopathy. Biochim. Biophys. Acta Mol. Basis Dis. 2016, 1862, 1037–1046. [Google Scholar] [CrossRef] [Green Version]
  200. Chang, J.Y.; Lee, M.H.; Lin, S.R.; Yang, L.Y.; Sunny Sun, H.; Sze, C.I.; Hong, Q.; Lin, Y.S.; Chou, Y.T.; Hsu, L.J.; et al. Trafficking protein particle complex 6A delta (TRAPPC6AΔ) is an extracellular plaque-forming protein in the brain. Oncotarget 2015, 6, 3578–3589. [Google Scholar] [CrossRef] [PubMed]
  201. Lee, M.H.; Lin, S.R.; Chang, J.Y.; Schultz, L.; Heath, J.; Hsu, L.J.; Kuo, Y.M.; Hong, Q.; Chiang, M.F.; Gong, C.X.; et al. TGF-β induces TIAF1 self-aggregation via type II receptor-independent signaling that leads to generation of amyloid β plaques in Alzheimer’s disease. Cell Death Dis. 2010, 1, e110. [Google Scholar] [CrossRef] [Green Version]
  202. Lee, M.H.; Shih, Y.H.; Lin, S.R.; Chang, J.Y.; Lin, Y.H.; Sze, C.I.; Kuo, Y.M.; Chang, N.S. Zfra restores memory deficits in Alzheimer’s disease triple-transgenic mice by blocking aggregation of TRAPPC6AΔ, SH3GLB2, tau, and amyloid β, and inflammatory NF-κB activation. Alzheimer’s Dement. Transl. Res. Clin. Interv. 2017, 3, 189–204. [Google Scholar] [CrossRef]
  203. Kunkle, B.W.; Grenier-Boley, B.; Sims, R.; Bis, J.C.; Damotte, V.; Naj, A.C.; Boland, A.; Vronskaya, M.; van der Lee, S.J.; Amlie-Wolf, A.; et al. Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat. Genet. 2019, 51, 414–430. [Google Scholar] [CrossRef] [Green Version]
  204. Ascherio, A.; Schwarzschild, M.A. The epidemiology of Parkinson’s disease: Risk factors and prevention. Lancet Neurol. 2016, 15, 1257–1272. [Google Scholar] [CrossRef]
  205. Hayes, M.T. Parkinson’s Disease and Parkinsonism. Am. J. Med. 2019, 132, 802–807. [Google Scholar] [CrossRef] [PubMed]
  206. Liu, G.; Peng, J.; Liao, Z.; Locascio, J.J.; Corvol, J.-C.; Zhu, F.; Dong, X.; Maple-Grødem, J.; Campbell, M.C.; Elbaz, A.; et al. Genome-wide survival study identifies a novel synaptic locus and polygenic score for cognitive progression in Parkinson’s disease. Nat. Genet. 2021, 53, 787–793. [Google Scholar] [CrossRef]
  207. Lo, C.-P.; Hsu, L.-J.; Li, M.-Y.; Hsu, S.-Y.; Chuang, J.-I.; Tsai, M.-S.; Lin, S.-R.; Chang, N.-S.; Chen, S.-T. MPP+-induced neuronal death in rats involves tyrosine 33 phosphorylation of WW domain-containing oxidoreductase WOX1. Eur. J. Neurosci. 2008, 27, 1634–1646. [Google Scholar] [CrossRef] [PubMed]
  208. Dauer, W.; Przedborski, S. Parkinson’s Disease: Mechanisms and Models. Neuron 2003, 39, 889–909. [Google Scholar] [CrossRef] [Green Version]
  209. Kitada, T.; Asakawa, S.; Hattori, N.; Matsumine, H.; Yamamura, Y.; Minoshima, S.; Yokochi, M.; Mizuno, Y.; Shimizu, N. Mutations in the parkin gene cause autosomal recessive juvenile parkinsonism. Nature 1998, 392, 605–608. [Google Scholar] [CrossRef] [PubMed]
  210. Hazan, I.; Hofmann, T.G.; Aqeilan, R.I. Tumor Suppressor Genes within Common Fragile Sites Are Active Players in the DNA Damage Response. PLoS Genet. 2016, 12, e1006436. [Google Scholar] [CrossRef] [Green Version]
  211. Correale, J.; Gaitán, M.I.; Ysrraelit, M.C.; Fiol, M.P. Progressive multiple sclerosis: From pathogenic mechanisms to treatment. Brain 2017, 140, 527–546. [Google Scholar] [CrossRef] [Green Version]
  212. Jeong, A.; Oleske, D.M.; Holman, J. Epidemiology of Pediatric-Onset Multiple Sclerosis: A Systematic Review of the Literature. Lancet Neurol. 2019, 34, 705–712. [Google Scholar] [CrossRef]
  213. Mahad, D.H.; Trapp, B.D.; Lassmann, H. Pathological mechanisms in progressive multiple sclerosis. Lancet Neurol. 2015, 14, 183–193. [Google Scholar] [CrossRef]
  214. Beecham, A.H.; Patsopoulos, N.A.; Xifara, D.K.; Davis, M.F.; Kemppinen, A.; Cotsapas, C.; Shah, T.S.; Spencer, C.; Booth, D.; Goris, A.; et al. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis. Nat. Genet. 2013, 45, 1353–1362. [Google Scholar] [CrossRef] [PubMed]
  215. Jäkel, S.; Agirre, E.; Mendanha Falcão, A.; van Bruggen, D.; Lee, K.W.; Knuesel, I.; Malhotra, D.; ffrench-Constant, C.; Williams, A.; Castelo-Branco, G. Altered human oligodendrocyte heterogeneity in multiple sclerosis. Nature 2019, 566, 543–547. [Google Scholar] [CrossRef] [PubMed]
  216. Absinta, M.; Sati, P.; Masuzzo, F.; Nair, G.; Sethi, V.; Kolb, H.; Ohayon, J.; Wu, T.; Cortese, I.C.M.; Reich, D.S. Association of Chronic Active Multiple Sclerosis Lesions with Disability in Vivo. JAMA Neurol. 2019, 76, 1474–1483. [Google Scholar] [CrossRef]
  217. Iatan, I.; Choi, H.Y.; Ruel, I.; Linga Reddy, M.V.P.; Kil, H.; Lee, J.; Abu Odeh, M.; Salah, Z.; Abu-Remaileh, M.; Weissglas-Volkov, D.; et al. The WWOX gene modulates high-density lipoprotein and lipid metabolism. Circ. Cardiovasc. Genet. 2014, 7, 491–504. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  218. Tondo, L.; Alda, M.; Bauer, M.; Bergink, V.; Grof, P.; Hajek, T.; Lewitka, U.; Licht, R.W.; Manchia, M.; Müller-Oerlinghausen, B.; et al. Clinical use of lithium salts: Guide for users and prescribers. Int. J. Bipolar Disord. 2019, 7, 16. [Google Scholar] [CrossRef] [Green Version]
  219. Pattali, R.; Mou, Y.; Li, X.-J. AAV9 Vector: A Novel modality in gene therapy for spinal muscular atrophy. Gene Ther. 2019, 26, 287–295. [Google Scholar] [CrossRef] [PubMed]
  220. George, L.A.; Sullivan, S.K.; Giermasz, A.; Rasko, J.E.J.; Samelson-Jones, B.J.; Ducore, J.; Cuker, A.; Sullivan, L.M.; Majumdar, S.; Teitel, J.; et al. Hemophilia B Gene Therapy with a High-Specific-Activity Factor IX Variant. N. Engl. J. Med. 2017, 377, 2215–2227. [Google Scholar] [CrossRef]
  221. Deverman, B.E.; Ravina, B.M.; Bankiewicz, K.S.; Paul, S.M.; Sah, D.W.Y. Gene therapy for neurological disorders: Progress and prospects. Nat. Rev. Drug Discov. 2018, 17, 641–659. [Google Scholar] [CrossRef]
  222. Foust, K.D.; Nurre, E.; Montgomery, C.L.; Hernandez, A.; Chan, C.M.; Kaspar, B.K. Intravascular AAV9 preferentially targets neonatal neurons and adult astrocytes. Nat. Biotechnol. 2008, 27, 59–65. [Google Scholar] [CrossRef] [Green Version]
  223. Gray, S.J.; Matagne, V.; Bachaboina, L.; Yadav, S.; Ojeda, S.R.; Samulski, R.J. Preclinical differences of intravascular aav9 delivery to neurons and glia: A comparative study of adult mice and nonhuman primates. Mol. Ther. 2011, 19, 1058–1069. [Google Scholar] [CrossRef] [PubMed]
  224. Bevan, A.K.; Duque, S.; Foust, K.D.; Morales, P.R.; Braun, L.; Schmelzer, L.; Chan, C.M.; McCrate, M.; Chicoine, L.G.; Coley, B.D.; et al. Systemic gene delivery in large species for targeting spinal cord, brain, and peripheral tissues for pediatric disorders. Mol. Ther. 2011, 19, 1971–1980. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Anatomical regions with a moderate-high expression of WWOX demonstrated schematically in sections of the adult human brain (i), adult mice brain (ii), and brain organoids (iii). vRGs—ventricular radial glia.
Figure 1. Anatomical regions with a moderate-high expression of WWOX demonstrated schematically in sections of the adult human brain (i), adult mice brain (ii), and brain organoids (iii). vRGs—ventricular radial glia.
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Figure 2. Summary of the available systems for modeling WWOX loss of function and the observed phenotypes.
Figure 2. Summary of the available systems for modeling WWOX loss of function and the observed phenotypes.
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Table 1. Summary of the main models for studying WWOX-related neurodevelopmental disorders.
Table 1. Summary of the main models for studying WWOX-related neurodevelopmental disorders.
HeadingIde/Ide RatsWwox-null Mice
(Conventional, Conditional)
Cell-Targeted Wwox-KO Mice
(Synapsin-cre (S), Nestin-cre (N))
Human Cell Lines
(hNPCs, Neuroblastoma)
Brain Organoids
(Cerebral Organoids, Forebrain Organoids, Oligocortical Spheroids)
Source of WWOX mutationSpontaneous; experimental inbreedingGenetic editing
Targeting exons 1 or 2–4
Genetic editing targeting exon 1 in specific cell typesWWOX-knockdown (shRNA, RNAi)Germline mutations (iPSCs)
Genetic editing (CRISPR/Cas9)
Differentiation between WOREE/SCAR12NoNoNoNoYes
Brain structural changesExtracellular vacuoles in the amygdala and hippocampus
Neuronal layers migration defects
Normal cortical thickness
Fused vermian lobules and foliation defects (cerebellum)
Interhemispheric fusion of the cerebral lobes
Elongated roof plate
Dorsal spinal cord malformation
Neuronal migration defects and heterotopia
Reduced cortical thickness
Similar to Wwox-null mice (N-KO more than S-KO)NoCortical dysplasia
Microcephaly (?)
CNS manifestationsIncreased relative brain mass
Ataxic gait
Epileptic seizures
Reduced neurite growth
Reduced OLs and hypomyelination
Reduced astrocytes
Reduced microglia
Ataxic gait
Epileptic seizures
Reduced OLs and hypomyelination (CNS, PNS)
Reduced interneurons subtypes (hippocampus)
Loss of Purkinje cells (cerebellum)
Impaired maturation and migration of neurons
Reactive gliosis
Increased TcMEP latency
Similar to Wwox-null mice (N-KO more than S-KO)NoNeuronal hyperexcitability
Enhanced astrogenesis/astrogliosis
Reduced mature OLs and hypomyelination
Systemic symptomsDwarfism, decreased levels of plasma growth hormone
Testicular and steroidogenesis abnormalities
Blood biochemistry abnormalities
Early post-natal lethality
Growth retardation
Blood biochemistry abnormalities
Bone metabolic defects
High tumor burden
Hematologic defects
Testicular and steroidogenesis abnormalities
Early post-natal lethality
Similar to Wwox-null mice (N-KO more than S-KO)NoNo
Molecular changes-CNS inflammationCNS inflammationImpaired neuronal migration defectsImpaired DNA damage response
Chronic Wnt-pathway activation
Recapitulates developmental milestonesYesYesYesNoYes
Modeling of human physiologyYesYesYesNoPartially; lacks some cell types, anatomical structures, and organ-organ interactions.
Can be overcome by protocol adaptations.
Retains human genetic backgroundNoNoNoYesYes
Can be patient-specific (iPSCs)
Ease of manipulations/treatmentDifficultDifficultDifficultRelative easeModerate ease
Cell-type dissectionNoNoYes, inherentYesPossible
Treatment developmentNoSuppressed seizures with lithium treatment Complete rescue using neuron-specific WWOX restoration (AAV9-hSynI-Wwox)NoPartial rescue with diffuse WWOX restoration into hPSCs (AAVS1-WWOX)
Neuronal hyperexcitability suppressed with Lenti-WWOX infection
Maintenance ease, costHigh maintenance, high costHigh maintenance, high costHigh maintenance, high costLow maintenance, low costModerate maintenance, high cost
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Steinberg, D.J.; Aqeilan, R.I. WWOX-Related Neurodevelopmental Disorders: Models and Future Perspectives. Cells 2021, 10, 3082. https://doi.org/10.3390/cells10113082

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Steinberg DJ, Aqeilan RI. WWOX-Related Neurodevelopmental Disorders: Models and Future Perspectives. Cells. 2021; 10(11):3082. https://doi.org/10.3390/cells10113082

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Steinberg, Daniel J., and Rami I. Aqeilan. 2021. "WWOX-Related Neurodevelopmental Disorders: Models and Future Perspectives" Cells 10, no. 11: 3082. https://doi.org/10.3390/cells10113082

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Steinberg, D. J., & Aqeilan, R. I. (2021). WWOX-Related Neurodevelopmental Disorders: Models and Future Perspectives. Cells, 10(11), 3082. https://doi.org/10.3390/cells10113082

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