Next Article in Journal
Conserved Molecular Signatures in the Spike, Nucleocapsid, and Polymerase Proteins Specific for the Genus Betacoronavirus and Its Different Subgenera
Next Article in Special Issue
Recent Development of Prodrugs of Gemcitabine
Previous Article in Journal
Mediterranean Diet and Genetic Determinants of Obesity and Metabolic Syndrome in European Children and Adolescents
Previous Article in Special Issue
A Split NanoLuc Reporter Quantitatively Measures Circular RNA IRES Translation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Epitranscriptomic Reprogramming Is Required to Prevent Stress and Damage from Acetaminophen

1
Nanobioscience Constellation, College of Nanoscale Science and Engineering, SUNY Polytechnic Institute, Albany, NY 12203, USA
2
The RNA Institute, University at Albany, Albany, NY 12222, USA
3
Department of Biological Sciences, University at Albany, Albany, NY 12222, USA
4
RNA Epitranscriptomics and Proteomics Resource, University at Albany, Albany, NY 12222, USA
*
Author to whom correspondence should be addressed.
Genes 2022, 13(3), 421; https://doi.org/10.3390/genes13030421
Submission received: 14 January 2022 / Revised: 13 February 2022 / Accepted: 16 February 2022 / Published: 25 February 2022
(This article belongs to the Special Issue RNA Chemical Biology)

Abstract

:
Epitranscriptomic marks, in the form of enzyme catalyzed RNA modifications, play important gene regulatory roles in response to environmental and physiological conditions. However, little is known with respect to how acute toxic doses of pharmaceuticals influence the epitranscriptome. Here we define how acetaminophen (APAP) induces epitranscriptomic reprogramming and how the writer Alkylation Repair Homolog 8 (Alkbh8) plays a key gene regulatory role in the response. Alkbh8 modifies tRNA selenocysteine (tRNASec) to translationally regulate the production of glutathione peroxidases (Gpx’s) and other selenoproteins, with Gpx enzymes known to play protective roles during APAP toxicity. We demonstrate that APAP increases toxicity and markers of damage, and decreases selenoprotein levels in Alkbh8 deficient mouse livers, when compared to wildtype. APAP also promotes large scale reprogramming of many RNA marks comprising the liver tRNA epitranscriptome including: 5-methoxycarbonylmethyluridine (mcm5U), isopentenyladenosine (i6A), pseudouridine (Ψ), and 1-methyladenosine (m1A) modifications linked to tRNASec and many other tRNA’s. Alkbh8 deficiency also leads to wide-spread epitranscriptomic dysregulation in response to APAP, demonstrating that a single writer defect can promote downstream changes to a large spectrum of RNA modifications. Our study highlights the importance of RNA modifications and translational responses to APAP, identifies writers as key modulators of stress responses in vivo and supports the idea that the epitranscriptome may play important roles in responses to pharmaceuticals.

1. Introduction

Epitranscriptomic marks in the form of enzyme-catalyzed RNA modifications are important gene regulatory signals, with defects linked to disrupted gene expression, disease onset and disease progression [1]. Modifications on mRNA, rRNA, and tRNA have been shown to be dynamically regulated to allow cells to survive different stressors and adapt to changes in cellular physiology [2,3,4,5,6,7,8,9]. In addition, the location and levels of specific RNA modifications have been shown to drive gene expression. tRNAs are the most heavily modified RNA species, and RNA modifications are critical for regulating tRNA structure, function, and stability. Writer enzymes can catalyze or add tRNA modifications, while eraser enzymes can remove modifications and reader enzymes bind and recognize modifications. Chemical modifications on tRNAs provide regulation of structure and function, while those occurring in the anticodon loop positions 34 to 37 can regulate translation and fidelity. The wobble position (34) in the anticodon stem loop of tRNA allows pairing to occur with more than one nucleoside, allowing for a single tRNA to decode multiple codons with different 3′ nucleosides [10,11,12]. Wobble position modifications to uridine (U), cytidine (C), guanosine (G), and adenosine (A) have all been reported and can include simple methylations to more elaborate chemical additions, which can regulate anticodon-codon interactions while preventing translational errors [10,11].
While most mammalian tRNAs have 3 to 17 positions modified [13], the tRNA for selenocysteine (tRNASec) is unique because it only has 4 positions modified. tRNASec modifications and writers include the 5-methoxycarbonylmethyluridine (mcm5U) and the ribose-methylated derivatived, 5-methoxycarbonylmethyl-2′-O-methyluridine (mcm5Um) at position U34 which are dependent on alkylation repair homolog 8 (Alkbh8) along with its accessory protein tRNA methyltransferase 112 (Trm112). The isopentenyladenosine (i6A) modification at position A37 is catalyzed by tRNA isopentenyltransferase 1 (Trit1) [14]. The pseudouridine (Ψ) modification at position U55 is catalyzed by pseudouridine synthase 4 (Pus4) also known as TruB pseudouridine synthase family member 1 (Trub1) [15]. The 1-methyladenosine (m1A) modification at position A58 is catalyzed by the catalytic subunit of tRNA (adenine-N1-)-methyltransferase 61A (Trmt61A) and RNA binding protein non-catalytic subunit tRNA (adenine (58)-N(1))-methyltransferase 6 (Trm6) [16]. Alkbh8, mcm5U and mcm5Um have been shown to play a critical role in the translation of selenoproteins [17,18,19,20,21]. Selenoprotein synthesis is orchestrated by interactions between cis RNA elements and trans proteins and specifically modified tRNA to recode a UGA stop codon. Thus, the UGA selenocysteine (Sec) codon found within selenoprotein genes works with Alkbh8-modified tRNA, as well as other factors, to promote the translation of selenoproteins. There are 25 selenoproteins in human systems with rodents having 24, with glutathione peroxidase 6 (Gpx6) being the discrepant selenoprotein [22]. Some examples of selenoproteins include glutathione peroxidase (Gpx)1-4, thioredoxin reductases (TrxR) 1-3, selenoprotein S (SelS), selenoprotein K (Selk), and selenoprotein P (Selp).
Selenoproteins play roles in stress responses, regulating metabolism, immunity, and in embryonic vitality and development [23,24,25,26,27,28,29]. Many selenoproteins serve as antioxidant enzymes to mitigate damage caused by reactive oxygen species (ROS) [29,30,31,32,33,34,35,36,37]. A GeneTrap generated mouse deficient in Alkbh8 (Alkbh8Def) has been used to generate embryonic fibroblasts (MEFs), and these cells have been used to demonstrate that writer defects promote increased levels of intracellular ROS and DNA damage and reduced selenoprotein expression [17]. Alkbh8Def MEFs also display a proliferative defect, accelerate senescence and fail to increase selenoprotein levels in response to hydrogen peroxide (H2O2) [17,38]. Alkbh8Def mice also have increased lung inflammation and a disruption in lung glutathione levels [36]. Pulmonary exposure of Alkbh8Def mice to naphthalene, the common polyaromatic hydrocarbon found in mothballs, increased stress markers and lung damage, when compared to their wildtype (WT) counterparts [36]. Overall, these findings demonstrate that the epitranscriptomic writer Alkbh8 plays a vital role in protection from environmental stressors.
Little is known with respect to how the epitranscriptome responds to pharmaceutical stress. Acetaminophen (APAP) is one of the most prevalent over the counter drugs due to its analgesic and antipyretic properties and is consumed regularly by over 60 million Americans each week. APAP is a safe and effective drug that combats various ailments. However, in the United States nearly 50% of all cases of acute liver failure are due to an excessive use of APAP [39]. Gpx proteins have been linked to preventing APAP toxicity by providing protection from its metabolized forms [40]. The majority of APAP (85–90%) is acted upon by phase II metabolism where APAP is chemically altered by UDP-glucuronosyl transferases (Ugt) and sulfotransferases (Sult), and then converted to glucuronidated and sulfated metabolites that are eliminated in urine. A small amount (~2%) of APAP is excreted in urine without modification and the remaining is biometabolized by the cytochrome enzyme, Cyp2e1, which results in the highly reactive, toxic metabolite N-acetyl-para-benzoquinone imine (NAPQI) [41]. Sufficient glutathione (GSH) in hepatocytes will reduce the reactive NAPQI and promote excretion in the urine. However excessive amounts of NAPQI can increase oxidative stress, decrease GSH, and promote mitochondrial dysfunction leading to depletion of adenosine triphosphate (ATP) stores [42].
Selenoproteins have been shown to provide protection from APAP toxicity. Mirochnitchenko et al. demonstrated that glutathione peroxidase injection provided complete protection in mice administered an acute toxic dose of APAP [40]. GPX3 overexpressing cells are more resistant to APAP toxicity than cells whose GPX3 levels were decreased by siRNA [43]. Human GPX and mouse Gpx proteins are clearly linked to preventing APAP toxicity. As selenoprotein synthesis and activity are reliant on RNA modifications that drive selenocysteine utilization, we hypothesized that Alkbh8-regulated epitranscriptomic marks would be involved in the response to APAP. Here we test the hypothesis that the epitranscriptomic writer, Alkbh8, protects against APAP toxicity by catalyzing tRNA modifications that regulate the translation of stress response genes. We have phenotypically characterized liver tissue from both C57BL/6 WT and Alkbh8Def treated mice with either saline (vehicle control) or APAP under both acute (6 h) and sub-chronic (4 daily injections) exposure conditions. When challenged with APAP, WT liver tissue showed an increase in many selenoproteins whereas the Alkbh8Def liver tissues were disrupted in their expression and show classic hallmarks of stress and damage, including increased expression of the oxidative stress marker, 8-isoprostane, and liver damage marker, alanine transaminase (ALT). Transcriptional responses to acute APAP were similar between the genotypes; however, protein level differences were detected, which is indicative of post-transcriptional changes and translational regulation reflective of epitranscriptomic regulation. After a single dose of APAP, we have discovered that there is significant change in the levels of many tRNA modifications in response to APAP. Increases in the levels of tRNA modifications specific to tRNASec and many other tRNA isoacceptors were identified, with dysregulation of the many APAP dependent marks observed in Alkbh8Def mice. Our study is one of the first to characterize the roles of epitranscriptomic marks and writers in response to APAP, and supports the idea that the epitranscriptome adapts to and modifies the effects of pharmaceuticals.

2. Materials and Methods

2.1. Animal Experiments

Animal studies were carried out in strict accordance with recommendations in the guide for the Care and Use of Laboratory Animals of the National Institutes of Health. The protocol was approved by the University at Albany Institutional Animal Care and Use Committee (Albany, NY, USA), protocol #17-016/#20-014 for breeding and #18-010 for APAP exposure. Two homozygous strains of mice of the C57BL/6J background were bred, WT and Alkbh8Def. Wild-type mice were purchased from Taconic Biosciences (Rensselaer, NY, USA). Alkbh8Def were produced through an insertional mutagenesis approach targeting the Alkbh8 gene in the parental E14Tg2a.4 129P2 embryonic stem cell line, as previously described [17]. Alkbh8Def mice were produced using a vector containing a splice acceptor sequence upstream of a β-geo cassette (β-galactosidase/neomycin phosphotransferase fusion), which was inserted into intron 7 at chromosome position 9:3349468-3359589, creating a fusion transcript of Alkbh8-β-geo [44]. Multiplex qRT-PCR and relative cycle threshold analysis (ΔΔCT) on genomic DNA derived from tail biopsies were used to determine animal zygosity for Alkbh8Def, using TaqMan oligonucleosides specific for neomycin (Neo, target allele) and T-cell receptor delta (Tcrd, endogenous control). Neo forward (5′-CCA TTC GAC CAC CAA GCG-3′), Neo reverse p (5′-AAG ACC GGC TTC CAT CCG-3′), Neo Probe (5′-FAM AAC ATC GCA TCG AGC GAG CAC GT TAMRA-3′), Tcrd forward (5′-CAG ACT GGT TAT CTG CAA AGC AA-3′), Tcrd reverse (5′-TCT ATG CAA GTT CCA AAA AAC ATC-3′), and Tcrd probe (5′-VIC ATT ATA ACG TGC TCC TGG GAC ACC C TAMRA-3′) primers were used for genotyping.
For all animal studies, male mice between 8–12 weeks of age were used. Females were not used, as they have been shown to be less susceptible to APAP liver injury due to their accelerated recovery of hepatic glutathione (GSH) levels [45]. Mice were sacrificed via CO2 asphyxiation and in some cases, followed by non-survival vena cava puncture and necropsy of the liver. Whole blood was allowed to clot for 30 min at 25 °C, and organs were flash-frozen and placed in −80 °C for storage.

2.2. APAP Solution Preparation and Intraperitoneal Injection (I.P.)

APAP and Dulbecco’s phosphate buffered saline (PBS) were purchased from Sigma-Aldrich (St. Louis, MO, USA). A 5 mg/mL (w/v) solution of APAP was made in a 15 mL conical tube with 100 mL of PBS and 0.5 g of APAP, due to lower solubility property of APAP, the solution was boiled until dissolved and then cooled to room temperature before injection. Solutions were made fresh each day. For intraperitoneal injections (I.P.) mice were first weighed and then placed under 5% isoflurane gas for approximately three minutes. The mice were then manually restrained, the injection site was wiped with 70% ethanol, and either saline or 600 mg/kg APAP solution was injected into the intraperitoneal cavity in the lower left abdominal quadrant using Coviden™ Monoject™ 27g, ½ inch standard hypodermic needles (Fisher Scientific, Franklin, MA, USA) and sterile 1 mL Coviden™ Monoject™ tuberculin syringes (Fisher Scientific, Franklin, MA, USA). Injections for acute exposures occurred once and six hours after the exposure mice were sacrificed. For chronic conditions, injections were administered at the same time daily for four days, every 24 h, and mice were sacrificed 24 h post last injection. After injection, mice were observed up to one hour for recovery from anesthesia and to ensure mice were not experiencing any pain or distress. Mice were further monitored for signs of excess stress and weight loss, with any mouse losing more than 20% of its body weight sacrificed based on IACUC guidelines.

2.3. Alanine Transaminase (ALT) Assay

The Alanine Transaminase Colorimetric Activity Assay (Catalog no. 700260, Cayman Chemical, Ann Arbor, MI, USA) was performed following manufacturer’s protocol to provide an indicator of liver damage. WT and Alkbh8Def were exposed to either saline or APAP as described above and sacrificed via CO2 asphyxiation. Cardiac puncture was then performed using Coviden™ Monoject™ 27g, ½ inch standard hypodermic needles (Fisher Scientific, Hampton, NH, USA) and sterile 1 mL Coviden™ Monoject™ tuberculin syringes (Fisher Scientific, Hampton, NH, USA) to collect a minimum volume of 200 µL of blood. Serum from each sample was prepared by allowing the blood to clot at 25 °C for 30 min. Samples were centrifuged at 2000× g for 15 min at 4 °C and the top serum layer was collected and stored at −80 °C. Serum samples were processed based on Alanine Transaminase Colorimetric Activity Assay Kit (catalog no. 700260, Cayman Chemical, Ann Arbor, MI, USA) instructions, and absorbance was monitored at 340 nm over a period of 10 min at 1-min intervals. Data analysis was performed, and ALT activity was reported as U/L. Statistical significance was calculated utilizing three biological replicates for each exposure condition and genotype, with error bars denoting standard error of the mean and significance determined using Student’s unpaired t-test in GraphPad Prism version 9.0 (GraphPad, San Diego, CA, USA).

2.4. 8-Isoprostane Assay

The 8-isoprostane assay (Catalog no. ab175819, Abcam, Cambridge, MA, USA) was performed following manufacturer’s protocol. Mice were exposed to either saline or APAP as described above and sacrificed via CO2 asphyxiation. Then, 1X phosphate buffered saline (PBS) was injected into the portal vein and hepatic artery, to remove excess blood and other cellular debris from the liver. Once dissected from the mouse, the livers were washed in PBS and then stored at −80 °C. Additional reagents that were used included 2N Sulfuric Acid Stop Solution (Catalog no. DY994, R&D Systems, Minneapolis, MN, USA), triphenylphosphine (TPP) (Catalog no. T84409-1G, Sigma-Aldrich, St. Louis, MO, USA), and ethyl acetate (Catalog no. 270989, Sigma-Aldrich, St. Louis, MO, USA). 8-isoprostane was measured following manufacturer’s protocol with the adjustment for low sample volume. Livers were weighed and homogenized in a 500 µL solution containing 5 mg TPP in dH2O, and then acidified by adding 4 µL of glacial acetic acid to ensure pH was ~4.0. Next, 500 µL of ethyl acetate was added to each sample, vortexed and centrifuged at 5000 rpm for 5 min to separate the organic phase. The supernatant was collected and placed in a new conical tube and the previous step was performed one more time. The pooled organic phase supernatant was dried using nitrogen gas and then reconstituted in 20 µL 100% ethanol. Samples were further processed according to manufacturer’s protocol and then used for ELISA measurement and analyzed. Statistical significance was calculated utilizing three biological replicates for each exposure condition and genotype with error bars denoting standard error of the mean and significance determined using Student’s unpaired t-test in GraphPad Prism v9.

2.5. Protein Quantification Assays

Primary antibodies used for quantification were as follows: TrxR1 (catalog no. MAB7428, R&D Systems, Minneapolis, MN, USA), TrxR2 (catalog no. ab180493, Abcam, Cambridge, MA, USA), Gpx1 (Catalog no. AF3798, R&D Systems, Minneapolis, MN, USA), Gpx3 (Catalog #AF4199, R&D Systems, Minneapolis, MN, USA), Gpx4 (catalog no. 565320, Novus Biologicals, Centennial, CO, USA), SelS (catalog no. HPA010025, Sigma-Aldrich, St. Louis, MO, USA), and Gapdh (catalog no. CB1001, Millipore Sigma, Burlington, MA, USA). Liver tissue was homogenized in 1 mL RIPA Buffer (50 mM Tris-HCl, pH 7.4, with 150 mM NaCl, 1% TridonX-100, 0.5% sodium deoxycholate, and 0.1% sodium dodecyl sulfate) supplemented with an EDTA-free phosphatase inhibitor cocktail 2 (catalog no. P5726, Sigma-Aldrich, St. Louis, MO, USA) and phosphatase inhibitor cocktail 3 (catalog no. P0044, Sigma-Aldrich, St. Louis, MO, USA). Livers were agitated periodically on ice for 30 min and then spun at 15,000× g for 12 min at 4 °C. The supernatant was then collected, and protein levels were quantified via Bradford assay (BioRad, Portland, OR, USA) according to manufacturer’s instructions at a monochromatic wavelength of 595 nm. Proteins were then normalized to 1.5 µg/mL concentration and added to Wes (ProteinSimple, San Jose, CA, USA) protein analysis plates (catalog no.SM-W004, ProteinSimple, San Jose, CA, USA) and quantified with Compass for Simple Western v2.1. Primary antibodies of interest were always multiplexed with endogenous Gapdh primary antibody to normalize chemiluminescence area under the curve. Statistical significance was calculated utilizing three biological replicates for each exposure condition and genotype, error bars denote standard error mean with statistical significance determined using Student’s unpaired t-test in GraphPad Prism v9.

2.6. Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)

Small RNAs were first isolated from liver tissue using PureLink™ miRNA Isolation Kit (catalog no. K157001, Invitrogen, Waltham, MA, USA). RNA concentration was then quantified at The Center for Functional Genomics/University at Albany using an Agilent Technologies 2100 Bioanalyzer System (Santa Clara, CA, USA) and the respective Bioanalyzer Small RNA reagents (catalog no. 5067-1548, Agilent Technologies, Santa Clara, CA, USA). Purified small RNA samples were then digested using Nucleoside Digestion Mix (catalog no. M0649S, New England BioLabs, Beverly, MA, USA). LC-MS/MS measurement of various post-transcriptional modifications were performed on a Waters XEVO TQ-STM (Waters, Milford, MA, USA) electrospray triple quadrupole mass spectrometer configured with ACQUITY I class ultra-performance liquid chromatography, as previously described [46]. The capillary voltage was set at 1.0 kV with extraction cone of 14 V. Nitrogen flow was maintained at 1000 L/h and desolvation temperature at 500 °C. The cone gas flow was set to 150 L/h and nebulizer pressure to 7 bars. Each individual nucleoside modification was characterized by single infusion in a positive mode ionization over an m/z range of 100–500 amu. Further nucleoside characterization was performed using Waters software part of Intellistart MS/MS method development program where a ramp of collision and cone voltages is applied to find optimal collision energy parameters for the daughter ions. To quantify various RNA modified nucleosides, calibration curves were prepared for these modified nucleosides including adenosine, cytidine, guanosine, and uridine. Stable isotope labelled guanosine [13C][15N]-G (1 pg/µL) (cat# CNLM-3808-CA-5, Cambridge Isotope Laboratories, Inc. Tewksbury, MA, USA) was purchased and used as an internal standard.
A method to extract peak areas from raw data to allow quantification was developed using a combination of instrument manufactures’ suites, MassLynx V4.1 and TargetLynx (Waters, Milford, MA, USA). These methods allowed extraction of information to produce calibration curves from each RNA modification standard. In addition, these programs were used to extract the peak areas to be extrapolated on the standard calibration curves for quantification of RNA modifications. In house Python scripts combined with Originlab software suite 2017 (OriginLab Corporation, Northampton, MA, USA) was used to quantify various RNA modifications. Heat maps were generated using MORPHEUS versatile matrix visualization and analysis software (https://software.broadinstitute.org/morpheus, accessed on 10 January 2021).

2.7. RNA Next-Generation Sequencing

Total RNA was isolated from liver tissue. Samples were placed in 1 mL of Trizol reagent (Invitrogen, Waltham, CA, USA), then homogenized with a Tissue-Tearor homogenizer (BioSpec, Bartlesville, OK, USA). RNA isolation was performed using manufacturer’s protocol (catalog no. 15596026, Thermo Fisher Scientific, Waltham. MA, USA). Isolated RNA samples were treated with DNase I, RNase-free (1 U/µL) (catalog no. EN0521, Thermo Fisher Scientific, Waltham. MA, USA) following manufacturer’s instruction. Samples were then processed at The Center of Functional Genomics/University at Albany for differential expression with Poly-A selection and sequenced using an Illumina Nextseq500 (Illumina, Inc., San Diego, CA, USA) at 75 million single-end reads per run. FASTQ files are available on NCBI Gene Expression Omnibus (GSE169155). Analysis was performed through bash and differential expression was analyzed using R Studio v1.3.1093 (Team 2020) (Boston, MA, USA). Enhanced volcano plots were created using DESeq2 package [47] and EnhancedVolcano with a fold change (FC) cutoff of 1.0 and a pCutoff of 0.05. Gene count plots of epitranscriptomic writers were created using DeSeq2 and ggplot2 packages. Metascape analysis [48] was performed with upregulated genes of a log2fold change cut-off of 2.0 or greater and ensembl ID lists were uploaded, respectively, per comparison condition. Statistical significance was calculated utilizing three biological replicates for each exposure condition and genotype, and was determined using student’s unpaired t-test.

3. Results

3.1. Alkbh8Def Mice Show Sensitivity to APAP Toxicity and Dysregulated Selenoprotein Expression in the Liver

APAP can be bioactivated by a cytochrome P450 enzyme, Cyp2e1, to catalyze the formation of the reactive metabolite NAPQI (Figure 1A). The response to toxic levels of APAP (600 mg/kg) was studied in 8–12-week-old C57BL/6 male WT and Alkbh8Def mice. Stress biomarkers indicative of liver damage and oxidative stress were measured in serum derived from whole blood and liver tissue, respectively. Alanine aminotransferase (ALT) levels were significantly higher in Alkbh8Def livers 6 h after injection of APAP, relative to APAP exposed WT livers (Figure 1B). The lipid peroxidation product 8-isoprostane is a in vivo biomarker of oxidative stress [49]. For both saline and 6 h APAP exposure conditions for Alkbh8Def liver tissue there was a slight increase in 8-isoprostane levels compared to WT samples (Figure 1C), but it did not reach a significant level (p = 0.33). Glutathione peroxidase 3 (Gpx3) is an extracellular antioxidant enzyme that aids in scavenging hydrogen peroxide as well as other hydroperoxides [50]. In response to APAP, there is a significant increase (p = 0.02) in Gpx3 expression in WT compared to its saline control, and this increased response was not observed in Alkbh8Def liver tissue (Figure 1D).
Daily injections over 4 days were used to study chronic APAP use in the WT and Alkbh8Def mice. ALT (p = 0.004) and 8-isprostane levels (p = 0.0001) were measured and found to be significantly increased in the Alkbh8Def mice after APAP injection compared to WT APAP (Figure 1E,F). Gpx3 expression levels in WT and Alkbh8Def livers were also significantly (p = 0.02) different after 4 days of APAP exposure (Figure 1G). Similar to 6 h data, there was an APAP-induced increase in Gpx3 in WT livers, which was not observed in the Alkbh8Def mice. Our ALT, 8-isoprostane and Gpx3 data support the idea that writer deficient livers are experiencing APAP induced stress and defective selenoprotein synthesis.

3.2. Next-Generation Sequencing Analysis Reveals Similar Transcriptional Responses to a Single Dose of APAP between WT and Alkbh8Def Livers

We next analyzed gene expression using mRNA-seq of livers from saline and APAP-injected mice. Differential transcript expression was first visualized using enhanced volcano plots, with a padj. values ≤ 0.05, from studies using a single injection of APAP (6 h). WT APAP vs. WT saline (Figure 2A) and Alkbh8Def APAP vs. Alkbh8Def saline (Figure 2C) both show an extensive change in gene expression, with many transcripts significantly increased in response to APAP. These changes can be due to increased gene expression or decreased mRNA turnover. Enrichment of biological pathways in significantly up-regulated genes (log2fold change > 2.0 and padj. values ≤ 0.05) demonstrated that the following similar pathways were up-regulated in both WT (Figure 2B) and Alkbh8Def (Figure 2D) livers; MAPK signaling pathway, positive regulation of cell death, fat cell differentiation, osteoclast differentiation, response to growth factor, and regulation of neuron death. In general, both genotypes regulate groups of transcripts linked to stress responses. A comparison of mRNA seq results (Figure 3A) further supports the idea that the transcriptional response to APAP is very similar in WT and Alkbh8Def livers, where only 202 out of 55,487 measured transcripts were significantly different (p < 0.05) between the two genotypes. Transcriptional upregulated genes that had the largest significant difference in fold change include: odorant binding protein 2A (Obp2a), which aids in binding and transporting molecules with high affinity for aldehydes and large fatty acids [51], transmembrane protein 267 (Tmeme267), which present reported function involves protein binding [52], and a member of the MYC Proto-Oncogene (myc) family that is highly expressed in the brain (Bmyc) and functions as a transcriptional regulator. We also report similar gene transcript profiles when comparing WT and Alkbh8Def under saline control conditions (Suplemental Figure S1). The similarities in the transcriptional responses to APAP between the two genotypes was expected, as Alkbh8, along with its accessory protein Trm112, post transcriptionally regulate gene expression by modifying tRNASec (Figure 3B–D) and other tRNAs. Alkbh8 can modify tRNASec, which is used in stop codon recoding, to drive the translation of 24 selenocysteine containing proteins in the Mus musculus genome (Figure 3D). Other regulatory components tied to stop codon recoding include the cis Sec insertion sequence (SECIS), a stem-loop structure located in coding regions and in 3′UTRs of eukaryotic genes [53].

3.3. The Epitranscriptome Is Extensively Regulated in Response to APAP and Disrupted in Alkbh8Def Livers

We next analyzed for differences in post transcriptional regulation by quantifying epitranscriptomic marks in RNA from WT and Alkbh8Def livers. We used LC-MS/MS based approaches to analyze RNA modification levels in our purified small RNA samples. We note that the tRNA pool we analyzed has all isoacceptors and we did not analyze RNA modifications on specific tRNAs. It is interesting that tRNASec possesses four different modifications (Figure 4A) that are catalyzed by either Alkbh8 (mcm5U), Trmt61A/Trm6 (m1A), Pus4 (Ψ), and Trit1 (i6A), and all four RNA modifications (mcm5U, m1A, Ψ, i6A) are increased in WT livers in response to APAP with these increases absent in Alkbh8Def livers (Figure 4B). The APAP induced increases in mcm5U, m1A, Ψ, and i6A could be due to increases throughout the pool of all tRNA isoacceptors, or could be due to increases on specific isoacceptors, with future studies needed to specifically determine. WT livers had significantly increased the concentration of the m1A modification from 55.51 pg/µL to 85.54 pg/µL, whereas the Alkbh8Def livers showed a decreased concentration from saline of 49.94 pg/µL to 38.48 pg/µL after APAP exposure. Similarly, Ψ was increased in WT saline (49.12 pg/µL) to WT APAP (60.76 pg/µL) conditions and showed a decreased concentration in Alkbh8Def saline (51.10 pg/µL) when compared to Alkbh8Def APAP (35.71 pg/µL) exposed liver tissue. The i6A modification was also dysregulated in the Alkbh8Def mice, where we measured a decreased concentration of 0.54 pg/µL in saline verse 0.42 pg/µL for APAP exposure. WT liver tissue had increased i6A modification from 0.64 pg/µL in saline conditions to 1.25 pg/µL after APAP exposure. Finally, the Alkbh8 dependent mcm5U modification was measured to have minimal change in concentration in the Alkbh8Def liver tissue between saline (0.0036 pg/µL) and APAP (0.0035 pg/µL) conditions, unlike the WT liver tissue where we measured a 10-fold increase from 0.004 pg/µL to 0.045 pg/µL in saline and APAP conditions, respectively. Using our mRNA-seq data we have observed that transcript levels for some writers are slightly dysregulated under APAP conditions in Alkbh8Def relative to WT (Figure 4C). The failure to increase epitranscriptomic marks in response to APAP in Alkbh8Def liver tissue predicts that selenoproteins levels would be affected. We quantified the protein levels Gpx1 and TrxR2 levels (Figure 4D), and, similar to Gpx3 (Figure 1D), Gpx1 and TrxR2 were increased in WT livers exposed to APAP; this stress induced increase in protein levels was absent in Alkbh8Def livers. Gpx4, TrxR1 and selenoprotein S (SelS) also failed to respond to APAP treatment in Alkbh8Def animals (Supplemental Figure S2).
We also measured 33 other tRNA modifications using LC-MS/MS and compared their levels, relative to WT saline, using a heat map (Figure 5A). The WT response to APAP resulted in the observation of 22 RNA modifications increased, whereas in the Alkbh8Def livers we have 13 modifications decreased (Table S1). In addition, the Alkbh8Def livers had 17 modifications decreased in saline control conditions, relative to WT saline (Supplemental Table S1A). Individual bar graphs of representative tRNA modifications from the heat map show mean values with standard error around the mean in WT and Alkbh8Def liver tissue under saline and APAP exposure conditions (Figure 5B). Other modifications are shown in (Supplemental Figure S3). The tRNA modifications that were the most downregulated in the Alkbh8Def APAP samples were; mnm5U (−6.4 log2fold change, p < 0.05) and mcm5U (−3.7 log2fold change, p < 0.05). Our epitranscriptomic data provides strong support for the idea that a single acute toxic dose of APAP promotes significant changes in many tRNA modifications on many different tRNA isoacceptors. Below we explore whether chronic APAP exposure promote changes to the epitranscriptome.

3.4. The Alkbh8 Writer Deficient Mice Respond to Chronic APAP with Altered Gene Expression and Have Increased Markers of Damage

We analyzed mRNA from mice on the 4th day of daily APAP treatments (Supplemental Figures S4 and S5). mRNA sequencing experiments revealed many differences in gene regulation between WT and Alkbh8Def in response to APAP. The comparison of mRNA-seq data from WT APAP vs. WT saline identified significantly upregulated genes (p ≤ 0.05) in pathways related to response to stillbenoid, inflammatory response and unsaturated fatty acid metabolic process (Figure 6B). The Alkbh8Def APAP vs. Alkbh8Def Saline mRNA-seq comparison shows significantly (p ≤ 0.05) upregulated genes that are enriched for pathways related to mitotic cell cycle process, cellular response to DNA damage stimulus, and positive regulation of cell cycle (Figure 6C). A comparison of saline controls between WT and Alkbh8Def show very few differences in transcript levels at the 4-day time point (Supplemental Figure S4). However, unlike the single APAP dose, the daily doses of APAP promoted many differences in gene regulation between WT and the Alkbh8Def liver tissue (Supplemental Figure S5A). Pathways specific to cell division, regulation of cell cycle process and cellular response to DNA damage stimulus were significantly (p ≤ 0.05) enriched in Alkbh8Def APAP vs. WT APAP comparison (Supplemental Figure S5B), supporting the idea that there is more stress and DNA damage in Alkbh8Def livers compared to WT. The same selenoproteins that were measured for the 6 h timepoint were quantitated after 4 days of daily doses of APAP in liver tissue. Gpx1 expression in the WT mice show an increase in the APAP exposure group, and relative to WT the Alkbh8Def liver tissue shows decreased Gpx1. While Gpx4 was not increased in WT after APAP, there was a significant decrease in the expression of Gpx4 in the Alkbh8Def liver relative to WT. Both TrxR1 and TrxR2 protein levels were increased in WT APAP samples in response to saline, which was not observed in Alkbh8Def livers (Figure 6C, Supplemental Figure S6).
Results of LC-MS/MS analysis confirmed the disrupted response of many tRNA modifcaitons under chronic APAP condtions. In response to APAP the WT liver tissue showed significant increases in six modifications, and decreases in two modifications relative to WT saline. The Alkbh8Def mice had nine modifications significantly decreased after APAP exposure and five increased, relative to Alkbh8Def saline. The modification that had a similar response to acute conditions was m1A, with WT liver showing increases after APAP exposure and Alkbh8Def liver showing decreases. Many uridine modifications were measured to be significantly dysregulated in the Alkbh8Def liver tissue compared to WT after daily APAP exposure including: m5U, mcm5s2U, mnm5U, mnm5s2U, and s2U. It is interesting to note that s2U was measured to be increased after daily APAP exposure in Alkbh8Def mice compared to WT. Adenosine-based modifications m1A, and m6A were also measured to be dysregulated in the Alkbh8Def liver after daily APAP exposure. All measured modifications within the chronic timeline are shown in (Supplemental Figure S7) and (Supplemental Table S1B).

4. Discussion

Hepatoxic effects of APAP toxicity have been widely reported which include oxidative stress, impaired mitochondrial function, lipid peroxidation, nuclear DNA fragmentation and necrotic cell death [54,55,56,57,58]. ROS production from the bioactivation of APAP can promote DNA and protein damage [41,59,60,61]. The Alkbh8Def mice were unable to respond to the same stress load as their WT counterparts, and our work supports the idea that the epitranscriptomic writer, Alkbh8, has a protective role against APAP toxicity. The protection comes at the levels of tRNA modification and translation, with Alkbh8 catalyzing tRNA modifications and translationally regulating the production of stress response proteins. Wobble U writers in yeast, mice and humans have previously been shown to play key roles in responding to stress by enhancing the translation of ROS detoxification, DNA damage response and metabolic proteins [62,63,64,65]. For example, deficiencies in the mcm5U writer tRNA methyltransferase 9 (Trm9) in yeast sensitize cells to DNA damaging agents and disrupt cell cycle transitions, with decreased translation of ribonucleotide reductase genes driving these phenotypes [7,66]. Knockdown of human ALKBH8 in HEK293 cells sensitize cells to ionizing radiation and disruption of mouse Alkbh8 sensitizes cells to the mitochondrial poison rotenone, due in part to the decrease in ROS detoxification enzymes [17,21]. Further it has been reported that there are increased markers of senescence in Alkbh8Def MEFs [38], highlighting a role for wobble U in regulating cell states linked to aging and disease. Notably, dysregulated expression of wobble U writers and their corresponding enzymes have also been linked to the etiology of cancer [4,67,68,69,70,71]. Wobble U writers play important translational regulatory roles that protect normal cells and organs from stress, and our studies highlight that the wobble U writer Alkbh8 helps regulate the response to APAP toxicity.

4.1. Translational Regulation Is a Key Response to APAP

Protein kinase cascades are well described responses to APAP, as it activates the c-Jun-N-terminal kinase (JNK) through the sequential protein phosphorylation of mitogen-activated protein kinases (MAPK) [72]. JNK is a critical member of the MAPK family and considered a control point between physiological and pathological status. The activation of JNK has been shown to be important in biological processes including stress reaction, cellular differentiation, and apoptosis [72,73]. The activated JNK can translocate to the mitochondria and binds to an outer membrane protein known as Sab, which is also phosphorylated. JNK binding to Sab leads to further ROS generation and sustains the activation of JNK leading to the induction of the mitochondrial permeability transition (MPT) resulting in the mediation of hepatocyte necrosis [74]. c-Myc is induced by APAP and encompasses one of the most significant protein networks that are associated with liver injury [75]. Beyer et al., presented gene ontology analysis of transcripts that significantly correlate with liver necrosis 6 h post-APAP exposure and the resulting biological pathways included programmed cell death, response to wounding, and inflammatory response [75]. These biological pathways are upregulated in both genotypes of mice after 6 hr APAP exposure in our study, when compared to their corresponding saline control. Our transcriptional studies support the idea that both WT and Alkbh8Def mice respond to APAP toxicity similarly at the mRNA level. The transcriptional data suggests that both genotypes have similar regulation of transcript production and turn-over.
Our study is unique in that we describe a change in RNA modification regulated protein expression in response to APAP stress. Members of the Gpx and TrxR selenoprotein families are known to be critical for signaling and aiding in protection and reduction of harmful oxidants [17,36,76]. Gpx and TrxR selenoproteins have also been shown to be key regulators of mitochondrial oxidative stress. Inhibition of these antioxidant enzymes with Auranofin in non-cancerous human Swan-71 cells resulted in reduction of cell viability, mitochondrial respiration, and increased oxidative stress. Selenium supplementation was able to restore Gpx and TrxR selenoprotein activity which subsequently decreased ROS production and increased cell viability [77]. These and other studies [78,79] confirm the important role of Gpx and TrxR selenoproteins as key response regulators to mitochondrial oxidant stress. Furthermore, APAP hepatoxicity has been reported to result in the formation of the potent oxidant peroxynitrite from superoxide and nitric oxide [80] which was subsequently observed to be predominately generated inside the mitochondria [81]. Therefore, the mitochondria are a significant source of oxidant stress in response to APAP. Our study demonstrated under non-stressed conditions the expression of selenoproteins are, relatively, similar between WT and Alkbh8Def. However, after APAP exposure we observe differences, with WT increasing expression of selenoproteins and Alkbh8Def having no change or decreased expression in measured selenoproteins. Our identification of a translational response to APAP, specific to selenoproteins that most likely respond to mitochondrial stress, highlights the importance of protein synthesis-based responses. Translational regulation is likely occurring in response to all pharmaceuticals that promote ROS stress, and studies in cancer models support the idea that translational regulation will be extended to many types of protein families and include regulation of the 20 standard amino acids [69].

4.2. RNA Modifications Are Systematically and Globally Re-Programmed in tRNAs in Response to Toxicants and Now Pharmaceuticals

tRNA modifications have been shown to be a critical part of epitranscriptomic reprogramming in response to stressors, chemicals, and physiological states in many organisms [7,17,62]. Our study highlights that APAP promotes a global reprogramming of RNA modifications. The tRNA modification, i6A was elevated in WT in response to APAP however this response was again disrupted in the Alkbh8Def mice. TRIT1 is responsible for modifying position 37 in the anticodon loop of tRNASec and other tRNAs. The i6A modification is found on various cytoplasmic or mitochondrial tRNA. Cytoplasmic i6A modification occurs on tRNASer and tRNASec, and mitochondrial tRNAs, mtRNACys, and mtRNASer [82]. A reduced expression of Trit1 can contribute to decreased selenoprotein expression [83], decreased translation of other cytoplasmic proteins and/or decreased mitochondrial translation, which could be occurring in the writer-deficient livers. The increase in mcm5U and other tRNASec related modifications in WT livers in response to APAP are likely key drivers of selenoprotein synthesis.
After APAP exposure, WT liver responds by increasing m1A modification levels and this reprogramming is disrupted in the Alkbh8Def mice. m1A is present in cytosolic tRNA species at positions 9, 14, 22, 57, and 58, and, notably, on tRNASec at position 58, as well as mitochondrial tRNA species at positions 9 and 58 [84]. The addition, the m1A modification is written by the catalytic protein Trmt61A and the RNA binding protein Trmt6 [16], while the eraser enzyme (Alkbh1) demethylates the m1A modification reverting it to its unmodified form [85]. The m1A modification aids in mitochondrial tRNA folding and ensures correct structure formation. The m1A58 tRNAs have a differential affinity for the elongation factor EF1A which delivers the tRNA into the A-site of the ribosome in protein synthesis [86]. Our data supports the idea that m1A plays an important translational role in protein synthesis in response to APAP and the deficiency of Alkbh8 dysregulates the epitranscriptomic reprogramming. Likely the m1A deficiency contributes to the decrease in selenoprotein synthesis, but its decrease could also be globally affecting protein synthesis in the cytoplasm and mitochondria. In addition, the m1A decrease could be promoting tRNA instability, which could account for the wide-spread decrease in RNA modifications in APAP treated Alkbh8Def livers.
The m3C modification was also significantly upregulated in WT livers after acute APAP exposure. The m3C modification is located at position 32 on various tRNA species as well as their corresponding isoacceptors including; tRNAArg, tRNAMet, tRNASer, and tRNAThr and mt-tRNAMet, mt-tRNASer, and mt-tRNAThr [87]. The m3C modification is catalyzed by the methyltransferase-like protein 2 and 6 (METTL2 and METTL6) [88] and human METTL6 has been associated with regulating cellular growth, ribosomal occupancy, and pluripotency in hepatocellular carcinoma (HCC) [89]. Mettl6 knockout mice displayed altered metabolic activity via altered glucose homeostasis, changes in metabolic turnover, and decreased liver weight suggesting the impact Mettl6 has on hepatic growth [89]. It is important to note that m3C Is not found on tRNASec and its increase after APAP exposure suggests other proteins could be under translational regulation, in addition to selenoproteins.

4.3. Redox and Pharmaceuticals Responses Can Be Regulated by the Epitranscriptome

Oxidative stress is catalyzed by the disruption of redox homeostasis and the subsequent production of ROS. The modifications m6A, m5C and their respective modifying enzymes have been reported in various cellular models showing their protective role. Mettl3, the writer enzyme of m6A, has been shown to activate the Nrf2 antioxidant pathway in response to colistin-induced oxidative stress in mouse renal tubular epithelial cells [90]. Arsenite induced stress in human keratinocytes resulted in increased expression of other m6A writers, WTAP and Mettl14, which regulate changes in gene expression [91] as well as inhibiting p53 activation [91]. Eraser and reader enzymes of m6A also possess roles in oxidative stress response. FTO, the eraser enzyme, has implications in mitigating mitochondrial and lipogenesis-induced ROS in HEK293T and clear cell renal carcinoma cells [92]. FTO is a member of the Fe (II)- and α-KG-dependent dioxygenase enzyme family which requires electrons from Fe (II) and α-ketoglutarate to activate a dioxygene molecule [93]. The dioxygenases use oxygen as an electron acceptor to reduce methylation and to form formaldehyde and hydrogen peroxide which may suppress the overproduction of oxidative stress [94]. It is suggested that oxidative stress oxidizes Fe (II) to Fe (III) inhibiting the demethylase activity of eraser enzymes such as FTO [95,96]. However, overexpression of FTO in hepatocytes and myotubes has been linked to increasing lipogenesis and mitochondrial dysfunction leading to increased oxidative stress [97,98]. Reader enzymes YTHDF1-3 studies have also been shown to have various roles in recognizing oxidative stress signaling and promote regulation of antioxidant pathways, in addition to influencing mRNA stability and translation [99,100]. m5C writer enzymes have been shown in HeLa and colon cancer cell lines to upregulate NRF2 and induce cellular senescence upon oxidative stress exposure [101,102]. Together with our current Alkbh8 study, past studies highlight the importance of epitranscriptomic marks in response to stress and link mcm5U, m1A, m3C, m6A, and m5C as key signals regulating the response to ROS stress. Together they highlight there is likely a systems-based reprogramming of the epitranscriptome in response to stress. The observation that an extensive number of RNA modifications are dysregulated in the liver of Alkbh8Def mice is likely due to the increased ROS stress or mitochondrial dysfunction [17,36,38]. Studies in yeast have shown that the tRNA epitranscriptome is extensively re-programmed in response to H2O2 and other ROS-inducing agents [6,7,8]. Similarly, Alkbh8 deficiency has been linked to changes in mitochondrial physiology [38], which could also be driving the extensive epitranscriptomic reprograming.

5. Conclusions

Our study highlights that APAP promotes global reprogramming of the epitranscriptome and its effects can be in part modulated by a single epitranscriptome writer (Figure 7). The deficiency of Alkbh8 resulted in increased liver damage and oxidative stress in Alkbh8Def mice upon APAP exposure, which can be linked to a global disruption of epitranscriptomic reprogramming, a specific decrease in wobble U modification and the decreased translation of stress response proteins. A major finding of our study is that pharmaceutical stress promotes changes to the epitranscriptome and RNA modification enzymes can modulate outcomes. The efficacy of chemotherapeutics and immunotherapies have also been shown to be modulated by epitranscriptomic systems. METTL3 expression increases resistance to the chemotherapeutic agents 5-fluorouracil, gemcitabine, and cisplatin in pancreatic cancer, through activation of the MAPK signaling pathway [103]. The eraser enzyme, FTO, promotes melanoma tumorigenesis and resistance to immunotherapy, while decreased FTO expression increased IFNy-induced tumor cell killing and promoted beneficial PD-1 immunotherapy [104]. Similarly, decreased expression of the eraser ALKBH5 increased the efficiency of PD-1 therapy in both melanoma and colorectal cancer models by decreasing immunosuppressive cells [105]. Additionally, wobble U34 modifications catalyzed by ELP3/CTU1/2 have been shown to drive melanomas that express mutated BRAF, with subsequent resistance to anti-BRAF therapy caused by U34-dependent codon-biased translation of metabolic proteins [70]. It is important to note that many of the previously published studies showing that the efficacy of therapeutics can be modulated by epitranscriptomic marks were performed using in situ models and focus on agents specific to cancer treatment. Our study presents an in vivo model of how a writer can modulate pharmaceutical stress resulting from a pain reliever and suggests that epitranscriptomic modulation could augment other therapeutics. Overexpression of Alkbh8 or increased wobble modifications in tRNASec could limit APAP toxicity and provide an increased protective role against oxidative stress. Notably, selenium supplementation has been shown to promote increased wobble modification of tRNASec and promote selenoprotein expression [106], and it could offer an effective epitranscriptomic enhancement strategy to counteract APAP overdose.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes13030421/s1, Table S1: Measured epitranscriptomic marks in mouse liver tissue after APAP; Table S2: WES raw data for all proteins analyzed in 6 h APAP exposure experiment; Table S3: WES raw data for all proteins analyzed in 4 day APAP exposure experiment; Table S4: All measured epitranscriptomic marks after daily 600 mg/kg APAP for 4 days; Figure S1: Transcripts regulated in Alkbh8Def Saline vs. WT Saline mice in the 6 h APAP experiment; Figure S2: Selenoproteins measured after 6 h APAP exposure; Figure S3: Remainder of measured epitranscriptomic marks in mouse liver tissue after APAP (6 h); Figure S4: Transcripts regulated in Alkbh8Def Saline verse WT Saline mice in the 4 day APAP experiment; Figure S5: Transcripts regulated in Alkbh8Def APAP verse WT APAP in the 4 day experiment; Figure S6: Selenoprotein S expression elevated in Alkbh8Def liver tissue after 4 day APAP exposure; Figure S7: tRNA modifications measured after 4 day APAP exposure.

Author Contributions

Conceptualization, S.E., J.A.M. and T.J.B.; methodology, S.E. and Q.L.; validation, S.E., investigation, S.E. and Q.L.; resources, T.J.B.; writing—original draft preparation, S.E. and Q.L.; writing—review and editing, J.A.M. and T.J.B.; funding acquisition, T.J.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the State University of New York Research Funds and the National Institutes of Health (R01ES026856, R01ES031529). S.E. was funded from a Training Grant from the National Institutes of Health (T32GM132066).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the University at Albany Institutional Animal Care and Use Committee (Albany, NY, USA), protocol #17-016/#20-014 for breeding and #18-010 for APAP exposure on 23 September 2019.

Informed Consent Statement

No human subjects were used.

Data Availability Statement

Raw data files for protein studies are found in supplementary materials. We have deposited mRNA-seq data in the Gene Expression Omnibus, GSE169155, at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE169155 (deposited on 9 January 2021).

Acknowledgments

We thank Sridar Chittur and Marcy Kuentzel from the Center for Functional Genomics at the University at Albany for their help and collaboration with our RNASeq experiments. We also thank Kevin O’Keefe for his expertise with mouse work along with Ed Zandro M. Taroc and his help with bioinformatic analysis. We finally thank members of the University at Albany RNA Institute and the Nanobioscience constellation at SUNY Poly’s College of Nanoscale College and Engineering for their insightful discussion and feedback.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kadumuri, R.V.; Janga, S.C. Epitranscriptomic Code and Its Alterations in Human Disease. Trends Mol. Med. 2018, 24, 886–903. [Google Scholar] [CrossRef] [PubMed]
  2. Rose, R.E.; Pazos, M.A.; Curcio, M.J.; Fabris, D. Global Epitranscriptomics Profiling of RNA Post-Transcriptional Modifications as an Effective Tool for Investigating the Epitranscriptomics of Stress Response. Mol. Cell. Proteom. 2016, 15, 932–944. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Cai, W.M.; Chionh, Y.H.; Hia, F.; Gu, C.; Kellner, S.; McBee, M.E.; Ng, C.S.; Ling, Y.; Pang, J.; Prestwich, E.G.; et al. A platform for discovery and quantification of modified ribonucleosides in RNA: Application to stress-induced reprogramming of tRNA modificiations. Methods Enzymol. 2016, 560, 29–71. [Google Scholar]
  4. Begley, U.; Sosa, M.S.; Avivar-Valderas, A.; Patil, A.; Endres, L.; Estrada, Y.; Chan, C.T.; Su, D.; Dedon, P.C.; Aguirre-Ghiso, J.A.; et al. A human tRNA methyltransferase 9-like protein prevents tumour growth by regulating LIN9 and HIF1-α. EMBO Mol. Med. 2013, 5, 366–383. [Google Scholar] [CrossRef] [Green Version]
  5. Chan, C.; Pham, P.; Dedon, P.C.; Begley, T.J. Lifestyle modifications: Coordinating the tRNA epitranscriptome with codon bias to adapt translation during stress responses. Genome Biol. 2018, 19, 228. [Google Scholar] [CrossRef]
  6. Chan, C.; Deng, W.; Li, F.; DeMott, M.S.; Babu, I.R.; Begley, T.J.; Dedon, P.C. Highly Predictive Reprogramming of tRNA Modifications Is Linked to Selective Expression of Codon-Biased Genes. Chem. Res. Toxicol. 2015, 28, 978–988. [Google Scholar] [CrossRef]
  7. Chan, C.T.Y.; Dyavaiah, M.; DeMott, M.S.; Taghizadeh, K.; Dedon, P.C.; Begley, T.J. A Quantitative Systems Approach Reveals Dynamic Control of tRNA Modifications during Cellular Stress. PLoS Genet. 2010, 6, e1001247. [Google Scholar] [CrossRef] [Green Version]
  8. Chan, C.T.; Pang, Y.L.J.; Deng, W.; Babu, I.R.; Dyavaiah, M.; Begley, T.J.; Dedon, P.C. Reprogramming of tRNA modifications controls the oxidative stress response by codon-biased translation of proteins. Nat. Commun. 2012, 3, 937. [Google Scholar] [CrossRef] [Green Version]
  9. Liu, F.; Clark, W.; Luo, G.; Wang, X.; Fu, Y.; Wei, J.; Wang, X.; Hao, Z.; Dai, Q.; Zheng, G.; et al. ALKBH1-Mediated tRNA Demethylation Regulates Translation. Cell 2016, 167, 816–828.e16. [Google Scholar] [CrossRef] [Green Version]
  10. Agris, P.F.; Eruysal, E.R.; Narendran, A.; Väre, V.Y.P.; Vangaveti, S.; Ranganathan, S.V. Celebrating wobble decoding: Half a century and still much is new. RNA Biol. 2017, 15, 537–553. [Google Scholar] [CrossRef] [Green Version]
  11. Agris, P.F.; Narendran, A.; Sarachan, K.; Väre, V.Y.P.; Eruysal, E. The Importance of Being Modified: The Role of RNA Modifications in Translational Fidelity. Enzymes 2017, 41, 1–50. [Google Scholar] [PubMed]
  12. Agris, P.F.; Vendeix, F.A.; Graham, W.D. tRNA’s Wobble Decoding of the Genome: 40 Years of Modification. J. Mol. Biol. 2007, 366, 1–13. [Google Scholar] [CrossRef] [PubMed]
  13. Pan, T. Modifications and functional genomics of human transfer RNA. Cell Res. 2018, 28, 395–404. [Google Scholar] [CrossRef] [PubMed]
  14. Fradejas, N.; Carlson, B.A.; Rijntjes, E.; Becker, N.P.; Tobe, R.; Schweizer, U. Mammalian Trit1 is a tRNA([Ser]Sec)-isopentenyl transferase required for full selenoprotein expression. Biochem. J. 2013, 450, 427–432. [Google Scholar] [CrossRef] [Green Version]
  15. Roovers, M.; Hale, C.; Tricot, C.; Terns, M.P.; Terns, R.M.; Grosjean, H.; Droogmans, L. Formation of the conserved pseudouridine at position 55 in archaeal tRNA. Nucleic Acids Res. 2006, 34, 4293–4301. [Google Scholar] [CrossRef]
  16. Wang, M.; Zhu, Y.; Wang, C.; Fan, X.; Jiang, X.; Ebrahimi, M.; Qiao, Z.; Niu, L.; Teng, M.; Li, X. Crystal structure of the two-subunit tRNA m1A58 methyltransferase TRM6-TRM61 from Saccharomyces cerevisiae. Sci. Rep. 2016, 6, 32562. [Google Scholar] [CrossRef] [Green Version]
  17. Endres, L.; Begley, U.; Clark, R.; Gu, C.; Dziergowska, A.B.; Małkiewicz, A.; Melendez, J.A.; Dedon, P.C.; Begley, T.J. Alkbh8 Regulates Selenocysteine-Protein Expression to Protect against Reactive Oxygen Species Damage. PLoS ONE 2015, 10, e0131335. [Google Scholar] [CrossRef] [Green Version]
  18. Pastore, C.; Topalidou, I.; Forouhar, F.; Yan, A.C.; Levy, M.; Hunt, J.F. Crystal Structure and RNA Binding Properties of the RNA Recognition Motif (RRM) and AlkB Domains in Human AlkB Homolog 8 (ABH8), an Enzyme Catalyzing tRNA Hypermodification. J. Biol. Chem. 2012, 287, 2130–2143. [Google Scholar] [CrossRef] [Green Version]
  19. Songe-Møller, L.; van den Born, E.; Leihne, V.; Vågbø, C.B.; Kristoffersen, T.; Krokan, H.E.; Kirpekar, F.; Falnes, P.Ø.; Klungland, A. Mammalian ALKBH8 Possesses tRNA Methyltransferase Activity Required for the Biogenesis of Multiple Wobble Uridine Modifications Implicated in Translational Decoding. Mol. Cell. Biol. 2010, 30, 1814–1827. [Google Scholar] [CrossRef] [Green Version]
  20. Born, E.V.D.; Vågbø, C.B.; Songe-Møller, L.; Leihne, V.; Lien, G.F.; Leszczynska, G.; Malkiewicz, A.; Krokan, H.E.; Kirpekar, F.; Klungland, A.; et al. ALKBH8-mediated formation of a novel diastereomeric pair of wobble nucleosides in mammalian tRNA. Nat. Commun. 2011, 2, 172. [Google Scholar] [CrossRef] [Green Version]
  21. Fu, D.; Brophy, J.A.N.; Chan, C.T.Y.; Atmore, K.A.; Begley, U.; Paules, R.S.; Dedon, P.C.; Begley, T.J.; Samson, L.D. Human AlkB Homolog ABH8 Is a tRNA Methyltransferase Required for Wobble Uridine Modification and DNA Damage Survival. Mol. Cell. Biol. 2010, 30, 2449–2459. [Google Scholar] [CrossRef] [Green Version]
  22. Regina, B.F.; Gladyshev, V.N.; Arnér, E.S.; Berry, M.J.; Bruford, E.A.; Burk, R.F.; Carlson, B.A.; Castellano, S.; Chavatte, L.; Conrad, M.; et al. Selenoprotein gene nomenclature. J. Biol. Chem. 2016, 291, 24036–24040. [Google Scholar]
  23. Anouar, Y.; Lihrmann, I.; Falluel-Morel, A.; Boukhzar, L. Selenoprotein T is a key player in ER proteostasis, endocrine homeostasis and neuroprotection. Free Radic. Biol. Med. 2018, 127, 145–152. [Google Scholar] [CrossRef]
  24. Hatfield, D.L.; Carlson, B.A.; Xu, X.; Mix, H.; Gladyshev, V.N. Selenocysteine Incorporation Machinery and the Role of Selenoproteins in Development and Health. Prog. Nucleic Acid Res. Mol. Biol. 2006, 81, 97–142. [Google Scholar] [CrossRef] [PubMed]
  25. Hofstee, P.; Cuffe, J.S.; Perkins, A.V. Analysis of Selenoprotein Expression in Response to Dietary Selenium Deficiency During Pregnancy Indicates Tissue Specific Differential Expression in Mothers and Sex Specific Changes in the Fetus and Offspring. Int. J. Mol. Sci. 2020, 21, 2210. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Pappas, A.C.; Zoidis, E.; Chadio, S.E. Maternal Selenium and Developmental Programming. Antioxidants 2019, 8, 145. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Rundlöf, A.-K.; Arnér, E. Regulation of the Mammalian Selenoprotein Thioredoxin Reductase 1 in Relation to Cellular Phenotype, Growth, and Signaling Events. Antioxid. Redox Signal. 2004, 6, 41–52. [Google Scholar] [CrossRef] [PubMed]
  28. Shrimali, R.K.; Weaver, J.A.; Miller, G.F.; Starost, M.F.; Carlson, B.A.; Novoselov, S.V.; Kumaraswamy, E.; Gladyshev, V.N.; Hatfield, D.L. Selenoprotein expression is essential in endothelial cell development and cardia muscle function. Neuromuscul. Disord. 2008, 17, 135–142. [Google Scholar] [CrossRef] [Green Version]
  29. Steinbrenner, H.; Sies, H. Protection against reactive oxygen species by selenoproteins. Biochim. Biophys. Acta (BBA) Gen. Subj. 2009, 1790, 1478–1485. [Google Scholar] [CrossRef]
  30. Arbogast, S.; Ferreiro, A. Selenoproteins and Protection against Oxidative Stress: Selenoprotein N as a Novel Player at the Crossroads of Redox Signaling and Calcium Homeostasis. Antioxid. Redox Signal. 2010, 12, 893–904. [Google Scholar] [CrossRef]
  31. Benhar, M. Roles of mammalian glutathione peroxidase and thioredoxin reductase enzymes in the cellular response to nitrosative stress. Free Radic. Biol. Med. 2018, 127, 160–164. [Google Scholar] [CrossRef] [PubMed]
  32. Chung, S.S.; Kim, M.; Youn, B.-S.; Lee, N.S.; Park, J.W.; Lee, I.K.; Lee, Y.S.; Kim, J.B.; Cho, Y.M.; Lee, H.K.; et al. Glutathione Peroxidase 3 Mediates the Antioxidant Effect of Peroxisome Proliferator-Activated Receptor γ in Human Skeletal Muscle Cells. Mol. Cell. Biol. 2009, 29, 20–30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Couto, N.; Wood, J.; Barber, J. The role of glutathione reductase and related enzymes on cellular redox homoeostasis network. Free Radic. Biol. Med. 2016, 95, 27–42. [Google Scholar] [CrossRef] [PubMed]
  34. Eckers, J.C.; Kalen, A.L.; Xiao, W.; Sarsour, E.H.; Goswami, P.C. Selenoprotein P Inhibits Radiation-Induced Late Reactive Oxygen Species Accumulation and Normal Cell Injury. Int. J. Radiat. Oncol. 2013, 87, 619–625. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Huang, J.; Bao, D.; Lei, C.; Tang, H.; Zhang, C.; Su, H. Selenoprotein T protects against cisplatin-induced acute kidney injury through suppression of oxidative stress and apoptosis. FASEB J. 2020, 34, 11983–11996. [Google Scholar] [CrossRef]
  36. Leonardi, A.; Kovalchuk, N.; Yin, L.; Endres, L.; Evke, S.; Nevins, S.; Martin, S.; Dedon, P.C.; Melendez, J.A.; Van Winkle, L.; et al. The epitranscriptomic writer ALKBH8 drives tolerance and protects mouse lungs from the environmental pollutant naphthalene. Epigenetics 2020, 15, 1121–1138. [Google Scholar] [CrossRef] [Green Version]
  37. Zoidis, E.; Seremelis, I.; Kontopoulos, N.; Danezis, G.P. Selenium-Dependent Antioxidant Enzymes: Actions and Properties of Selenoproteins. Antioxidants 2018, 7, 66. [Google Scholar] [CrossRef] [Green Version]
  38. Lee, M.Y.; Leonardi, A.; Begley, T.J.; Melendez, J.A. Loss of epitranscriptomic control of selenocysteine utilization engages senescence and mitochondrial reprogramming. Redox Biol. 2019, 28, 101375. [Google Scholar] [CrossRef]
  39. Yoon, E.; Babar, A.; Choudhary, M.; Kutner, M.; Pyrsopoulos, N. Review Article Acetaminophen-Induced Hepatotoxicity: A Comprehensive Update. J. Clin. Transl. Hepatol. 2016, 4, 131–142. [Google Scholar]
  40. Mirochnitchenko, O.; Weisbrot-lefkowitz, M.; Reuhl, K.; Chen, L.; Yang, C.; Inouye, M. Acetaminophen Toxicity Opposite Effects of Two Forms of Flutathione Peroxidase. Biol. Chem. 1999, 274, 10349–10355. [Google Scholar] [CrossRef] [Green Version]
  41. McGill, M.; Jaeschke, H. Metabolism and Disposition of Acetaminophen: Recent Advances in Relation to Hepatotoxicity and Diagnosis. Pharm. Res. 2013, 30, 2174–2187. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Clark, R.; Fisher, J.E.; Sketris, I.S.; Johnston, G.M. Population prevalence of high dose paracetamol in dispensed paracetamol/opioid prescription combinations: An observational study. BMC Clin. Pharmacol. 2012, 12, 11. [Google Scholar] [CrossRef] [Green Version]
  43. Kanno, S.-I.; Tomizawa, A.; Yomogida, S.; Hara, A. Glutathione peroxidase 3 is a protective factor against acetaminophen-induced hepatotoxicity in vivo and in vitro. Int. J. Mol. Med. 2017, 40, 748–754. [Google Scholar] [CrossRef] [PubMed]
  44. Friedel, R.H.; Soriano, P. Gene Trap Mutagenesis in the Mouse. Methods Enzymol. 2010, 477, 243–269. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Du, K.; Ramachandran, A.; Jaeschke, H. Oxidative stress during acetaminophen hepatotoxicity: Sources, pathophysiological role and therapeutic potential. Redox Biol. 2016, 10, 148–156. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Basanta-Sanchez, M.; Temple, S.; Ansari, S.A.; D’Amico, A.; Agris, P.F. Attomole quantification and global profile of RNA modifications: Epitranscriptome of human neural stem cells. Nucleic Acids Res. 2015, 44, e26. [Google Scholar] [CrossRef] [Green Version]
  47. Love, M.I.; Huber, W.; Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014, 15, 550. [Google Scholar] [CrossRef] [Green Version]
  48. Zhou, Y.; Zhou, B.; Pache, L.; Chang, M.; Khodabakhshi, A.H.; Tanaseichuk, O.; Benner, C.; Chanda, S.K. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat. Commun. 2019, 10, 1523. [Google Scholar] [CrossRef]
  49. Montuschi, P.; Barnes, P.J.; Roberts, L.J., 2nd. Isoprostanes: Markers and mediators of oxidative stress. FASEB J. 2004, 18, 1791–1800. [Google Scholar] [CrossRef]
  50. Takebe, G.; Yarimizu, J.; Saito, Y.; Hayashi, T.; Nakamura, H.; Yodoi, J.; Nagasawa, S.; Takahashi, K. A Comparative Study on the Hydroperoxide and Thiol Specificity of the Glutathione Peroxidase Family and Selenoprotein P. J. Biol. Chem. 2002, 277, 41254–41258. [Google Scholar] [CrossRef] [Green Version]
  51. Briand, L.; Eloit, C.; Nespoulous, C.; Bézirard, V.; Huet, J.-C.; Henry, C.; Blon, F.; Trotier, D.; Pernollet, J.-C. Evidence of an Odorant-Binding Protein in the Human Olfactory Mucus:  Location, Structural Characterization, and Odorant-Binding Properties. Biochemistry 2002, 41, 7241–7252. [Google Scholar] [CrossRef] [PubMed]
  52. Strausberg, R.L.; Feingold, E.A.; Grouse, L.H.; Derge, J.G.; Klausner, R.D.; Collins, F.S.; Wagner, L.; Shenmen, C.M.; Schuler, G.D.; Altschul, S.F.; et al. Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences. Proc. Natl. Acad. Sci. USA 2002, 99, 16899–16903. [Google Scholar] [PubMed] [Green Version]
  53. Low, S.C.; Berry, M.J. Knowing when not to stop: Selenocysteine incorporation in eukaryotes. Trends Biochem. Sci. 1996, 21, 203–208. [Google Scholar] [CrossRef]
  54. Du, K.; Williams, C.D.; McGill, M.; Jaeschke, H. Lower susceptibility of female mice to acetaminophen hepatotoxicity: Role of mitochondrial glutathione, oxidant stress and c-jun N-terminal kinase. Toxicol. Appl. Pharmacol. 2014, 281, 58–66. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Jaeschke, H.; Ramachandran, A. Oxidant Stress and Lipid Peroxidation in Acetaminophen Hepaptotoxicity. React. Oxyg. Species 2018, 5, 145–158. [Google Scholar]
  56. McGill, M.R.; Sharpe, M.R.; Williams, C.D.; Taha, M.; Curry, S.C.; Jaeschke, H. The mechanism underlying acetaminophen-induced hepatotoxicity in humans and mice involves mitochondrial damage and nuclear DNA fragmentation. J. Clin. Investig. 2012, 122, 1574–1583. [Google Scholar] [CrossRef] [Green Version]
  57. Mossanen, J.C.; Tacke, F. Acetaminophen-induced acute liver injury in mice. Lab. Anim. 2015, 49, 30–36. [Google Scholar] [CrossRef]
  58. Yan, H.-M.; Ramachandran, A.; Bajt, M.L.; Lemasters, J.J.; Jaeschke, H. The Oxygen Tension Modulates Acetaminophen-Induced Mitochondrial Oxidant Stress and Cell Injury in Cultured Hepatocytes. Toxicol. Sci. 2010, 117, 515–523. [Google Scholar] [CrossRef] [Green Version]
  59. Borude, P.; Bhushan, B.; Apte, U. DNA Damage Response Regulates Initiation of Liver Regeneration Following Acetaminophen Overdose. Gene Expr. 2018, 18, 115–123. [Google Scholar] [CrossRef]
  60. Ramachandran, A.; Jaeschke, H. Mechanisms of acetaminophen hepatotoxicity and their translation to the human pathophysiology. J. Clin. Transl. Res. 2017, 3, 157–169. [Google Scholar] [CrossRef]
  61. Ramachandran, A.; Jaeschke, H. Invited Review Acetaminophen Toxicity: Novel Insights Into Mechanisms and Future Perspectives. Gene Expr. 2018, 18, 19–30. [Google Scholar] [CrossRef] [PubMed]
  62. Chionh, Y.H.; McBee, M.; Babu, I.R.; Hia, F.; Lin, W.; Zhao, W.; Cao, J.; Dziergowska, A.; Malkiewicz, A.; Begley, T.J.; et al. tRNA-mediated codon-biased translation in mycobacterial hypoxic persistence. Nat. Commun. 2016, 7, 55. [Google Scholar] [CrossRef] [Green Version]
  63. Schaffrath, R.; Leidel, S.A. Wobble uridine modifications—A reason to live, a reason to die?! RNA Biol. 2017, 14, 1209–1222. [Google Scholar] [CrossRef] [PubMed]
  64. Villahermosa, D.; Fleck, O. Elp3 and Dph3 of Schizosaccharomyces pombe mediate cellular stress responses through tRNALys UUU modifications. Sci. Rep. 2017, 7, 7225. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Wilkinson, E.; Cui, Y.-H.; He, Y.-Y. Context-Dependent Roles of RNA Modifications in Stress Responses and Diseases. Int. J. Mol. Sci. 2021, 22, 1949. [Google Scholar] [CrossRef]
  66. Begley, U.; Dyavaiah, M.; Patil, A.; Rooney, J.P.; DiRenzo, D.; Young, C.M.; Conklin, D.S.; Zitomer, R.S.; Begley, T.J. Trm9-Catalyzed tRNA Modifications Link Translation to the DNA Damage Response. Mol. Cell 2007, 28, 860–870. [Google Scholar] [CrossRef] [Green Version]
  67. Barbieri, I.; Kouzarides, T. Role of RNA modifications in cancer. Nat. Cancer 2020, 20, 303–322. [Google Scholar] [CrossRef]
  68. Popis, M.C.; Blanco, S.; Frye, M. Posttranscriptional methylation of transfer and ribosomal RNA in stress response pathways, cell differentiation, and cancer. Curr. Opin. Oncol. 2016, 28, 65–71. [Google Scholar] [CrossRef] [Green Version]
  69. Rapino, F.; Delaunay, S.; Rambow, F.; Zhou, Z.; Tharun, L.; De Tullio, P.; Sin, O.; Shostak, K.; Schmitz, S.; Piepers, J.; et al. Codon-specific translation reprogramming promotes resistance to targeted therapy. Nature 2018, 558, 605–609. [Google Scholar] [CrossRef]
  70. Rapino, F.; Delaunay, S.; Zhou, Z.; Chariot, A.; Close, P. tRNA Modification: Is Cancer Having a Wobble? Trends Cancer 2017, 3, 249–252. [Google Scholar] [CrossRef]
  71. Wang, C.; Wang, W.; Han, X.; Du, L.; Li, A.; Huang, G. Methyltransferase-like 1 regulates lung adenocarcinoma A549 cell proliferation and autophagy via the AKT/mTORC1 signaling pathway. Oncol. Lett. 2021, 21, 330. [Google Scholar] [CrossRef] [PubMed]
  72. Sadoshima, J.; Montagne, O.; Wang, Q.; Yang, G.; Warden, J.; Liu, J.; Takagi, G.; Karoor, V.; Hong, C.; Johnson, G.L.; et al. The MEKK1-JNK pathway plays a protective role in pressure overload but does not mediate cardiac hypertrophy. J. Clin. Investig. 2002, 110, 271–279. [Google Scholar] [CrossRef] [PubMed]
  73. Johnson, G.L.; Lapadat, R. Mitogen-Activated Protein Kinase Pathways Mediated by ERK, JNK, and p38 Protein Kinases. Science 2002, 298, 1911–1912. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Win, S.; Than, T.A.; Han, D.; Petrovic, L.M.; Kaplowitz, N. c-Jun N-terminal Kinase (JNK)-dependent Acute Liver Injury from Acetaminophen or Tumor Necrosis Factor (TNF) Requires Mitochondrial Sab Protein Expression in Mice. J. Biol. Chem. 2011, 286, 35071–35078. [Google Scholar] [CrossRef] [Green Version]
  75. Beyer, R.P.; Fry, R.C.; Lasarev, M.R.; McConnachie, L.A.; Meira, L.B.; Palmer, V.S.; Powell, C.L.; Ross, P.K.; Bammler, T.K.; Bradford, B.U.; et al. Multicenter Study of Acetaminophen Hepatotoxicity Reveals the Importance of Biological Endpoints in Genomic Analyses. Toxicol. Sci. 2007, 99, 326–337. [Google Scholar] [CrossRef] [Green Version]
  76. Leonardi, A.; Evke, S.; Lee, M.; Melendez, J.A.; Begley, T.J. Epitranscriptomic systems regulate the translation of reactive oxygen species detoxifying and disease linked selenoproteins. Free Radic. Biol. Med. 2019, 143, 573–593. [Google Scholar] [CrossRef]
  77. Radenkovic, F.; Holland, O.; Vanderlelie, J.; Perkins, A.V. Selective inhibition of endogenous antioxidants with Auranofin causes mitochondrial oxidative stress which can be countered by selenium supplementation. Biochem. Pharmacol. 2017, 146, 42–52. [Google Scholar] [CrossRef]
  78. Lopert, P.; Day, B.J.; Patel, M. Thioredoxin Reductase Deficiency Potentiates Oxidative Stress, Mitochondrial Dysfunction and Cell Death in Dopaminergic Cells. PLoS ONE 2012, 7, e50683. [Google Scholar] [CrossRef] [Green Version]
  79. Miyamoto, Y.; Koh, Y.H.; Park, Y.S.; Fujiwara, N.; Sakiyama, H.; Misonou, Y.; Ookawara, T.; Suzuki, K.; Honke, K.; Taniguchi, N. Oxidative Stress Caused by Inactivation of Glutathione Peroxidase and Adaptive Responses. Biol. Chem. 2003, 384, 567–574. [Google Scholar] [CrossRef]
  80. Hinson, J.A.; Pike, S.L.; Pumford, N.R.; Mayeux, P.R. Nitrotyrosine−Protein Adducts in Hepatic Centrilobular Areas following Toxic Doses of Acetaminophen in Mice. Chem. Res. Toxicol. 1998, 11, 604–607. [Google Scholar] [CrossRef]
  81. Cover, C.; Mansouri, A.; Knight, T.R.; Bajt, M.L.; Lemasters, J.J.; Pessayre, D.; Jaeschke, H. Peroxynitrite-Induced Mitochondrial and Endonuclease-Mediated Nuclear DNA Damage in Acetaminophen Hepatotoxicity. J. Pharmacol. Exp. Ther. 2005, 315, 879–887. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. Schweizer, U.; Bohleber, S.; Fradejas-Villar, N. The modified base isopentenyladenosine and its derivatives in tRNA. RNA Biol. 2017, 14, 1197–1208. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Warner, G.J.; Berry, M.J.; Moustafa, M.E.; Carlson, B.A.; Hatfield, D.L.; Faust, J.R. Inhibition of selenoprotein synthesis by selenocysteine tRNA([Ser]Sec) lacking isopentenyladenosine. J. Biol. Chem. 2000, 275, 28110–28119. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Machnicka, M.A.; Milanowska, K.; Oglou, O.O.; Purta, E.; Kurkowska, M.; Olchowik, A.; Januszewski, W.; Kalinowski, S.; Dunin-Horkawicz, S.; Rother, K.M.; et al. MODOMICS: A database of RNA modification pathways—2013 update. Nucleic Acids Res. 2012, 41, D262–D267. [Google Scholar] [CrossRef] [PubMed]
  85. Rashad, S.; Han, X.; Sato, K.; Mishima, E.; Abe, T.; Tominaga, T.; Niizuma, K. The stress specific impact of ALKBH1 on tRNA cleavage and tiRNA generation. RNA Biol. 2020, 17, 1092–1103. [Google Scholar] [CrossRef] [PubMed]
  86. Patil, A.; Dyavaiah, M.; Joseph, F.; Rooney, J.P.; Chan, C.T.Y.; Dedon, P.C.; Begley, T.J. Increased tRNA modification and gene-specific codon usage regulate cell cycle progression during the DNA damage response. Cell Cycle 2012, 11, 3656–3665. [Google Scholar] [CrossRef] [Green Version]
  87. Cui, J.; Liu, Q.; Sendinc, E.; Shi, Y.; Gregory, R.I. Nucleotide resolution profiling of m3C RNA modification by HAC-seq. Nucleic Acids Res. 2020, 49, e27. [Google Scholar] [CrossRef]
  88. Xu, L.; Liu, X.; Sheng, N.; Oo, K.S.; Liang, J.; Chionh, Y.H.; Xu, J.; Ye, F.; Gao, Y.-G.; Dedon, P.C.; et al. Three distinct 3-methylcytidine (m3C) methyltransferases modify tRNA and mRNA in mice and humans. J. Biol. Chem. 2017, 292, 14695–14703. [Google Scholar] [CrossRef] [Green Version]
  89. Ignatova, V.V.; Kaiser, S.; Ho, J.S.Y.; Bing, X.; Stolz, P.; Tan, Y.X.; Lee, C.L.; Gay, F.P.H.; Lastres, P.R.; Gerlini, R.; et al. METTL6 is a tRNA m 3 C methyltransferase that regulates pluripotency and tumor cell growth. Sci. Adv. 2020, 6, eaaz4551. [Google Scholar] [CrossRef]
  90. Wang, J.; Ishfaq, M.; Xu, L.; Xia, C.; Chen, C.; Li, J. METTL3/m6A/miRNA-873-5p attenuated oxidative stress and apoptosis in colistin-induced kidney injury by modulating Keap1/Nrf2 pathway. Front. Pharmacol. 2019, 10, 517. [Google Scholar] [CrossRef] [Green Version]
  91. Zhao, T.; Sun, D.; Zhao, M.; Lai, Y.; Liu, Y.; Zhang, Z. N6-methyladenosine mediates arsenite-induced human keratinocyte transformation by suppressing p53 activation. Environ. Pollut. 2020, 259, 113908. [Google Scholar] [CrossRef] [PubMed]
  92. Zhuang, C.; Zhuang, C.; Luo, X.; Huang, X.; Yao, L.; Li, J.; Li, Y.; Xiong, T.; Ye, J.; Zhang, F.; et al. N6-methyladenosine demethylase FTO suppresses clear cell renal cell carcinoma through a novel FTO-PGC-1α signalling axis. J. Cell. Mol. Med. 2019, 23, 2163–2173. [Google Scholar] [CrossRef] [PubMed]
  93. Fedeles, B.I.; Singh, V.; Delaney, J.C.; Li, D.; Essigmann, J.M. The AlkB family of Fe(II)/α-ketoglutarate-dependent dioxygenases: Repairing nucleic acid alkylation damage and beyond. J. Biol. Chem. 2015, 290, 20734–20742. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Chervona, Y.; Costa, M. The control of histone methylation and gene expression by oxidative stress, hypoxia, and metals. Free Radic. Biol. Med. 2012, 53, 1041–1047. [Google Scholar] [CrossRef] [Green Version]
  95. He, W.; Zhou, B.; Liu, W.; Zhang, M.; Shen, Z.; Han, Z.; Jiang, Q.; Yang, Q.; Song, C.; Wang, R.; et al. Identification of A Novel Small-Molecule Binding Site of the Fat Mass and Obesity Associated Protein (FTO). J. Med. Chem. 2015, 58, 7341–7348. [Google Scholar] [CrossRef]
  96. Ponnaluri, V.C.; Maciejewski, J.P.; Mukherji, M. A mechanistic overview of TET-mediated 5-methylcytosine oxidation. Biochem. Biophys. Res. Commun. 2013, 436, 115–120. [Google Scholar] [CrossRef]
  97. Bravard, A.; Lefai, E.; Meugnier, E.; Pesenti, S.; Disse, E.; Vouillarmet, J.; Peretti, N.; Rabasa-Lhoret, R.; Laville, M.; Vidal, H.; et al. FTO Is Increased in Muscle During Type 2 Diabetes, and Its Overexpression in Myotubes Alters Insulin Signaling, Enhances Lipogenesis and ROS Production, and Induces Mitochondrial Dysfunction. Diabetes 2010, 60, 258–268. [Google Scholar] [CrossRef] [Green Version]
  98. Guo, J.; Ren, W.; Li, A.; Ding, Y.; Guo, W.; Su, D.; Hu, C.; Xu, K.; Chen, H.; Xu, X.; et al. Fat Mass and Obesity-Associated Gene Enhances Oxidative Stress and Lipogenesis in Nonalcoholic Fatty Liver Disease. Am. J. Dig. Dis. 2013, 58, 1004–1009. [Google Scholar] [CrossRef]
  99. Anders, M.; Chelysheva, I.; Goebel, I.; Trenkner, T.; Zhou, J.; Mao, Y.; Verzini, S.; Qian, S.-B.; Ignatova, Z. Dynamic m6A methylation facilitates mRNA triaging to stress granules. Life Sci. Alliance 2018, 1, e201800113. [Google Scholar] [CrossRef] [Green Version]
  100. Shi, Z.; Xu, S.; Xing, S.; Yao, K.; Zhang, L.; Xue, L.; Zhou, P.; Wang, M.; Yan, G.; Yang, P.; et al. Mettl17, a regulator of mitochondrial ribosomal RNA modifications, is required for the translation of mitochondrial coding genes. FASEB J. 2019, 33, 13040–13050. [Google Scholar] [CrossRef] [Green Version]
  101. Li, Q.; Li, X.; Tang, H.; Jiang, B.; Dou, Y.; Gorospe, M.; Wang, W. NSUN2-mediated m5C methylation and METTL3/METTL14-mediated m6A methylation cooperatively enhance p21 translation. J. Cell Biochem. 2018, 119, 2587–2598. [Google Scholar]
  102. Villeneuve, N.F.; Sun, Z.; Chen, W.; Zhang, D.D. Nrf2 and p21 regulate the fine balance between life and death by controlling ROS levels. Cell Cycle 2009, 8, 3255–3256. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Taketo, K.; Konno, M.; Asai, A.; Koseki, J.; Toratani, M.; Satoh, T.; Doki, Y.; Mori, M.; Ishii, H.; Ogawa, K. The epitranscriptome m6A writer METTL3 promotes chemo- and radioresistance in pancreatic cancer cells. Int. J. Oncol. 2017, 52, 621–629. [Google Scholar] [CrossRef] [Green Version]
  104. Yang, S.; Wei, J.; Cui, Y.-H.; Park, G.; Shah, P.; Deng, Y.; Aplin, A.E.; Lu, Z.; Hwang, S.; He, C.; et al. m6A mRNA demethylase FTO regulates melanoma tumorigenicity and response to anti-PD-1 blockade. Nat. Commun. 2019, 10, 2782. [Google Scholar] [CrossRef]
  105. Li, N.; Kang, Y.; Wang, L.; Huff, S.; Tang, R.; Hui, H.; Agrawal, K.; Gonzalez, G.M.; Wang, Y.; Patel, S.P.; et al. ALKBH5 regulates anti–PD-1 therapy response by modulating lactate and suppressive immune cell accumulation in tumor microenvironment. Proc. Natl. Acad. Sci. USA 2020, 117, 20159–20170. [Google Scholar] [CrossRef] [PubMed]
  106. Chittum, H.S.; Hill, K.E.; Carlson, B.A.; Lee, B.J.; Burk, R.F.; Hatfield, D.L. Replenishment of selenium deficient rats with selenium results in redistribution of the selenocysteine tRNA population in a tissue specific manner. Biochim. Biophys. Acta 1997, 1359, 25–34. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Writer deficient mouse livers have increased sensitivity to APAP induced stress and display decreased selenoprotein levels. (A) APAP can be converted into a non-toxic form by UDP-glucuronosyltransferases (UGT) or a toxic form by cytochrome P450 enzyme (CYP2E1) to generate the reactive intermediate metabolite N-actyl-p-benzoquinone imine (NAPQI). Male C57Bl/6 WT (blue) and Alkbh8Def (red) mice (8–12 weeks old) were exposed to a single dose of APAP (BD) or daily dose of APAP over 4 days (EG), and tissue/blood was harvested. (B,E) ALT and (C,F) 8-isoprostane levels were determined in blood and liver samples, respectively for WT saline (blue circle), Alkbh8Def saline (red square), WT APAP (blue triangle) and Alkbh8Def APAP (red triangle) (D,G) Gpx3 protein levels in the liver were evaluated using the ProteinSimple WES system. Statistical significance (N = 3) was measured by an unpaired t-test with (* p < 0.05, ** p < 0.01, and *** p < 0.001).
Figure 1. Writer deficient mouse livers have increased sensitivity to APAP induced stress and display decreased selenoprotein levels. (A) APAP can be converted into a non-toxic form by UDP-glucuronosyltransferases (UGT) or a toxic form by cytochrome P450 enzyme (CYP2E1) to generate the reactive intermediate metabolite N-actyl-p-benzoquinone imine (NAPQI). Male C57Bl/6 WT (blue) and Alkbh8Def (red) mice (8–12 weeks old) were exposed to a single dose of APAP (BD) or daily dose of APAP over 4 days (EG), and tissue/blood was harvested. (B,E) ALT and (C,F) 8-isoprostane levels were determined in blood and liver samples, respectively for WT saline (blue circle), Alkbh8Def saline (red square), WT APAP (blue triangle) and Alkbh8Def APAP (red triangle) (D,G) Gpx3 protein levels in the liver were evaluated using the ProteinSimple WES system. Statistical significance (N = 3) was measured by an unpaired t-test with (* p < 0.05, ** p < 0.01, and *** p < 0.001).
Genes 13 00421 g001
Figure 2. Next-generation mRNA sequencing analysis of the transcriptional response to APAP. WT and Alkbh8Def mice (N = 3) were left untreated or exposed to a single dose of APAP and livers were harvested after 6 h and RNA was purified and subject to mRNA-seq. Enhanced volcano plots from mRNA-seq data were generated for each of the comparisons and metascape analysis were performed for log2 FC > 2.0 and padj. values ≤ 0.05 for (A,B) WT APAP vs. WT Saline and (C,D) Alkbh8Def APAP vs. Alkbh8Def Saline.
Figure 2. Next-generation mRNA sequencing analysis of the transcriptional response to APAP. WT and Alkbh8Def mice (N = 3) were left untreated or exposed to a single dose of APAP and livers were harvested after 6 h and RNA was purified and subject to mRNA-seq. Enhanced volcano plots from mRNA-seq data were generated for each of the comparisons and metascape analysis were performed for log2 FC > 2.0 and padj. values ≤ 0.05 for (A,B) WT APAP vs. WT Saline and (C,D) Alkbh8Def APAP vs. Alkbh8Def Saline.
Genes 13 00421 g002
Figure 3. WT and Alkbh8Def livers have a similar transcriptional response to a single dose of APAP. mRNA-seq data for (A) Alkbh8Def APAP vs. WT APAP was compared using an enhanced volcano plot. (B) Post-transcriptional regulation of translation by Alkbh8 and epitranscriptomic marks. Alkbh8 requires the small accessory protein Trm112 and S-adenosylmethionine (SAM) to modify the wobble position of tRNASec (C) from cm5U to mcm5U, which is then further modified to the ribose-methylated derivative mcm5Um. (D) Stop-codon recoding utilizes mcm5U and mcm5Um in tRNASec to decode UGA to produce selenoproteins. In addition to Alkbh8-catlyzed epitranscriptomic marks, elongation factors, a selenocysteine insertion sequence (SECIS), accessory proteins, and an internal UGA stop codon are used to promote the translation of selenocysteine containing proteins.
Figure 3. WT and Alkbh8Def livers have a similar transcriptional response to a single dose of APAP. mRNA-seq data for (A) Alkbh8Def APAP vs. WT APAP was compared using an enhanced volcano plot. (B) Post-transcriptional regulation of translation by Alkbh8 and epitranscriptomic marks. Alkbh8 requires the small accessory protein Trm112 and S-adenosylmethionine (SAM) to modify the wobble position of tRNASec (C) from cm5U to mcm5U, which is then further modified to the ribose-methylated derivative mcm5Um. (D) Stop-codon recoding utilizes mcm5U and mcm5Um in tRNASec to decode UGA to produce selenoproteins. In addition to Alkbh8-catlyzed epitranscriptomic marks, elongation factors, a selenocysteine insertion sequence (SECIS), accessory proteins, and an internal UGA stop codon are used to promote the translation of selenocysteine containing proteins.
Genes 13 00421 g003
Figure 4. Multiple RNA modifications on tRNA for selenocysteine and other tRNAs are differentially regulated in WT and Alkbh8Def livers in response to a single dose of APAP. (A) Epitranscriptomic marks found on tRNASec. (B,C) WT and Alkbh8Def mice (N = 3) were exposed to a single dose of APAP and livers were harvested 6 h after dosing. (B) Modifications that occur throughout tRNASec and other tRNAs were measured using LC-MS/MS. (C) Writer enzyme gene count changes in expression vs. p-value determined. (D) Selenoprotein levels (N = 3) were evaluated using the ProteinSimple WES system. Statistical significance was determined using an unpaired t-test with (* p < 0.05, ** p < 0.01).
Figure 4. Multiple RNA modifications on tRNA for selenocysteine and other tRNAs are differentially regulated in WT and Alkbh8Def livers in response to a single dose of APAP. (A) Epitranscriptomic marks found on tRNASec. (B,C) WT and Alkbh8Def mice (N = 3) were exposed to a single dose of APAP and livers were harvested 6 h after dosing. (B) Modifications that occur throughout tRNASec and other tRNAs were measured using LC-MS/MS. (C) Writer enzyme gene count changes in expression vs. p-value determined. (D) Selenoprotein levels (N = 3) were evaluated using the ProteinSimple WES system. Statistical significance was determined using an unpaired t-test with (* p < 0.05, ** p < 0.01).
Genes 13 00421 g004
Figure 5. The epitranscriptome is differentially regulated in WT and Alkbh8Def livers in response to a single dose of APAP. (A) 37 epitranscriptome marks were measured with LC-MS/MS and the log2fold change was normalized relative to WT saline data and shown as a heat map. (B) Data for each modification under the four conditions was compared for statistical significance (N = 3) using an unpaired t-test with (* p < 0.05, ** p < 0.01, *** p < 0.001 and **** p < 0.0001).
Figure 5. The epitranscriptome is differentially regulated in WT and Alkbh8Def livers in response to a single dose of APAP. (A) 37 epitranscriptome marks were measured with LC-MS/MS and the log2fold change was normalized relative to WT saline data and shown as a heat map. (B) Data for each modification under the four conditions was compared for statistical significance (N = 3) using an unpaired t-test with (* p < 0.05, ** p < 0.01, *** p < 0.001 and **** p < 0.0001).
Genes 13 00421 g005
Figure 6. Writer deficient mice have altered gene expression and response due to altered epitranscriptomic response. WT (N = 6) and Alkbh8Def (N = 6) mice were IP injected daily with APAP. (AC) Tissue was harvested at day 4 and RNA and protein were purified for analysis. (A,B) Enhanced volcano plots for mRNA-seq data were generated for each of the comparisons and metascape analysis was performed for log2 FC > 2.0 and padj. values ≤ 0.05. (A) WT APAP vs. WT Saline and (B) Alkbh8Def APAP vs. Alkbh8Def Saline. (C) Selenoprotein levels were evaluated using the ProteinSimple WES system. Statistical significance (N = 3) was determined using an unpaired t-test with (* p < 0.05, ** p < 0.01, and *** p < 0.001).
Figure 6. Writer deficient mice have altered gene expression and response due to altered epitranscriptomic response. WT (N = 6) and Alkbh8Def (N = 6) mice were IP injected daily with APAP. (AC) Tissue was harvested at day 4 and RNA and protein were purified for analysis. (A,B) Enhanced volcano plots for mRNA-seq data were generated for each of the comparisons and metascape analysis was performed for log2 FC > 2.0 and padj. values ≤ 0.05. (A) WT APAP vs. WT Saline and (B) Alkbh8Def APAP vs. Alkbh8Def Saline. (C) Selenoprotein levels were evaluated using the ProteinSimple WES system. Statistical significance (N = 3) was determined using an unpaired t-test with (* p < 0.05, ** p < 0.01, and *** p < 0.001).
Genes 13 00421 g006
Figure 7. Model of APAP sensitivity in writer and modification dysregulated Alkbh8Def livers. Alkbh8 plays a protective role against oxidative stress-induced APAP toxicity. Alkbh8Def mice experienced higher instances of oxidative stress, liver damage and overall decreased survival. The deficiency of Alkbh8 results in the dysregulation of the epitranscriptome and decreased selenoprotein expression.
Figure 7. Model of APAP sensitivity in writer and modification dysregulated Alkbh8Def livers. Alkbh8 plays a protective role against oxidative stress-induced APAP toxicity. Alkbh8Def mice experienced higher instances of oxidative stress, liver damage and overall decreased survival. The deficiency of Alkbh8 results in the dysregulation of the epitranscriptome and decreased selenoprotein expression.
Genes 13 00421 g007
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Evke, S.; Lin, Q.; Melendez, J.A.; Begley, T.J. Epitranscriptomic Reprogramming Is Required to Prevent Stress and Damage from Acetaminophen. Genes 2022, 13, 421. https://doi.org/10.3390/genes13030421

AMA Style

Evke S, Lin Q, Melendez JA, Begley TJ. Epitranscriptomic Reprogramming Is Required to Prevent Stress and Damage from Acetaminophen. Genes. 2022; 13(3):421. https://doi.org/10.3390/genes13030421

Chicago/Turabian Style

Evke, Sara, Qishan Lin, Juan Andres Melendez, and Thomas John Begley. 2022. "Epitranscriptomic Reprogramming Is Required to Prevent Stress and Damage from Acetaminophen" Genes 13, no. 3: 421. https://doi.org/10.3390/genes13030421

APA Style

Evke, S., Lin, Q., Melendez, J. A., & Begley, T. J. (2022). Epitranscriptomic Reprogramming Is Required to Prevent Stress and Damage from Acetaminophen. Genes, 13(3), 421. https://doi.org/10.3390/genes13030421

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop