1. Introduction
Autophagy is an intracellular catabolic pathway that serves to maintain cellular homeostasis under stress by eliminating deleterious structures (such as misfolded proteins and dysfunctional organelles) through lysosomal degradation and by enhancing the availability of basic nutrient molecules through recycling. Under metabolic stress conditions, such as nutrient deficiency or growth factor deprivation, unnecessary cellular components, including damaged organelles or long-lived proteins, are enwrapped by vesicular membranes and degraded by lysosomal hydrolases, thereby creating auxiliary nutrient pools [
1,
2,
3]. Autophagy plays critical roles in various pathophysiological status, including cancer development as an intracellular survival process [
4,
5,
6]. The entire process of autophagy can be divided into several steps, initiation, nucleation, autophagosome extension, and lysosomal fusion/degradation, each involving distinct molecular complexes and regulated by unique signaling pathways. These distinct steps of regulatory processes have been well-conserved in many organisms from lower eukaryotes to mammals, proved by genetic ablation and mutation analyses.
For autophagy initiation, Unc51-like kinase 1 (ULK1), the mammalian homologue of the first identified autophagy-related gene (ATG), ATG1, forms a complex with three other ATG proteins: ATG13, ATG101/C12orf44, and 200 KDa FAK Family Kinase-Interacting Protein(FIP200)/ RB1 Inducible Coiled-Coil 1 (RB1CC1). In addition to binding for complex formation, ULK1 can also phosphorylate these components, thereby modulating protein function. This ULK1 kinase activity is also regulated by site-specific phosphorylation, with phosphorylation by AMP activated protein kinase (AMPK) promoting and phosphorylation by mammalian target of rapamycin complex 1 (mTORC1) inhibiting kinase activity. AMPK and mTORC1 act as key regulators of autophagy processes at initiation stage through ULK1 phosphorylation at distinct residues [
7,
8,
9]. Through these pathways, autophagy activity is coordinated with metabolism, biosynthesis, and cell growth.
In addition to phosphorylation, multiple components of the autophagy machinery are functionally regulated by other forms of post-translational modification, including ubiquitination, which regulates protein levels by marking proteins for intracellular degradation [
10,
11,
12]. In contrast to ULK1, however, the molecular mechanisms regulating the functional activity and stability of individual ATG proteins involved in distinct steps of autophagy are still largely unknown.
The ULK1 complex core component ATG101 was originally identified as an interacting partner of ATG13 that stabilizes ATG13 within the ULK1 complex. Recent mutation studies using the GFP-LC3 (Microtubule-associated proteins 1A/1B light chain 3B; LC3) puncta assay as an index of autophagy activity have revealed structural features of ATG101 relevant to ATG13 binding and other function, including recruitment of downstream factors to the autophagosome formation site via a WF finger domain [
13,
14,
15]. Our recent mutation studies have also identified the protruding C-terminal domain of ATG101 as a key structure for interacting with multiple class III phosphatidylinositol 3-kinase (PtdIns3K) complex components such as Beclin1, Atg14, and Vps34 [
16]. Therefore, ATG101 plays a critical role in linking ULK1 and PtdIns3K complexes for activation of autophagy pathways.
Autophagy and the ubiquitin proteasome system (UPS) are the two major cellular degradation pathways and both are critical for maintaining cellular homeostasis [
17]. Further, UPS and autophagy are closely associated and coordinated via multiple signaling pathways. Ubiquitination targets misfolded proteins, protein aggregates, and malfunctioning organelles for degradation and component recycling. In addition, the function and fate of intact proteins can be determined by the type of ubiquitination [
12,
17,
18]. Ubiquitination of ATG proteins regulates their functional activities either positively or negatively, depending on specific types of ubiquitin chain for conjugation. Context-dependent levels of autophagy activity depend on the precise regulation of ATG protein levels [
10]. Therefore, the individual steps of autophagy can be regulated via various ubiquitination reactions that control distinct ATG protein levels.
The ULK1 complex is responsible for autophagy initiation, and the activities of complex constituents are regulated by both phosphorylation and ubiquitination. ULK1 ubiquitination is mediated by various autophagy proteins and E3 ligases, including the AMBRA1–TRAF6 complex, chaperone-like protein p32, and Cul3-KLHL20 ubiquitin ligase. Different E3 ligases play distinct roles in regulating ULK1 activity by conjugating specific types of ubiquitin chains. For instance, TRAF6 E3 ligase positively regulates ULK1 activity by conjugating K63 ubiquitin chains. This association is controlled by the molecular mediator AMBRA1 and depends on ULK1 phosphorylation status [
19]. In addition, a chaperone-like protein named p32 contributes to K63-linked ubiquitination of ULK1, resulting in greater stability and maintenance of autophagy activity [
20]. Conversely, different types of E3 ligases ubiquitinate ULK1 for its degradation. For instance, the Cul3-KLHL20 complex ubiquitinates phosphorylated ULK1 by adding K48 ubiquitin chains, which marks ULK1 for degradation and thereby terminates autophagy [
21]. NEDD4-like E3 ligase (NEDD4L) plays a pivotal role in the ubiquitination of ULK1, which disrupts its stability leading to degradation [
22]. Critically, this regulation has important implications for cancer progression and treatment response. Ubiquitination by NEDD4-like E3 ligase (NEDD4L) in pancreatic cancer cells promoted ULK1 degradation, while NEDD4L depletion activated autophagy by stabilizing ULK1, which in turn supported cancer progression and survival [
23].
While the effects of ULK1 and Beclin1 ubiquitination on autophagy and cell viability have been investigated extensively, relatively little is known about the effects of specific ubiquitination reactions on other components of the ULK1 complex, such as ATG101. Here we investigated novel roles for ATG101 ubiquitination in modulating autophagy activity and cancer cell survival. We demonstrate ATG101 ubiquitination by K48-linked ubiquitin chains mediated by the E3 ubiquitin ligase HUWE1 and regulated by the ATG101 C-terminal domain, resulting in ATG101 degradation and suppression of autophagy. This in turn promoted cancer cell death under stress. Thus, stabilization of ATG101 is critical for the control of autophagy activity and, thus, may be a major determinant of survival during metabolic stress.
3. Discussion
Recent studies have identified various molecular mechanisms regulating ULK1 protein levels. For example, multiple E3 ligases such as TRAF6 and NEDD4L regulate ULK1 stability through ubiquitination and other post-translational modifications such as phosphorylation and glycosylation [
17,
18,
19,
20,
21,
22,
23]. However, relatively little is known about the regulation of the other ULK1 complex components ATG13 and ATG101.
Here, we describe a series of gene-knockout/knockdown, subcellular localization of autophagy markers, and co-IP experiments demonstrating that ATG101 levels are regulated by HUWE1-mediated ubiquitination and subsequent proteasomal degradation in cancer cells and this degradation pathway can markedly suppress autophagy, leading to reduced cell viability under metabolic stress. Thus, activation of this HUWE1/ATG101 pathway may be a feasible clinical strategy to impair cancer cell survival or enhance the efficacy of anti-tumor therapies.
ATG101 (C12orf44) was originally identified as a scaffold protein that maintains ATG13 stability within the ULK1 complex [
13,
14]. Recent structural studies have revealed a highly structured Hop1, Rev7, Mad2 (HORMA) domain of ATG101 is involved in the interaction with ATG13-ULK1 and in recruiting downstream proteins to the autophagosome site [
15]. In addition, ATG101 includes a flexible C-terminal domain that mediates interactions with class III PI3K complex (PtdIns3K) proteins, such as Vps34, Beclin1, and ATG14, resulting in autophagy activation [
16] (
Figure S3). In contrast, the Hedgehog (Hh) receptor Patched1 (PTCH1) was shown to bind ATG101 through the PTCH1 C-terminal domain and inhibit autophagy flux, which further influences PTCH1-dependent tumor suppression independent of Sonic Hedgehog canonical signaling [
29]. More recently, additional physiological functions of ATG101 have been revealed by analysis of an Atg101 loss-of-function mutant fly. In this model, Atg101-mediated autophagy maintains neural and midgut homeostasis and further influences adult lifespans [
30].
The functions of ATG101 may also be regulated by ubiquitination, a key post-translational modification regulating the expression levels and activities of many proteins. We found that ATG101 is degraded through E3 ligase-driven poly-ubiquitination, likely involving the C-terminal region of ATG101 as evidenced by altered ubiquitination of a C-terminal deletion mutant (ATG101∆C) (
Figure 2c,d). Further, this ubiquitination markedly suppressed ATG101 protein levels, thereby reducing autophagy activity and cell viability.
Given that ubiquitin types of conjugation determines function of the target proteins, we examined which specific types of ubiquitin are added onto ATG101 for modulating targets. The fate of an ubiquitinated protein is determined by the specific conjugation pattern. Multiple reports have suggested that Lys-63-linked ubiquitin chains target proteins for autophagic degradation [
31], whereas proteins conjugated to Lys-48- or Lys-27-linked chains are likely to undergo proteasomal degradation [
32]. In this study, we found preferential conjugation of K48-only ubiquitin mutant to the ATG101 upon immunoprecipitation analysis (
Figure 2f), and pharmacological inhibition experiments suggested that this ubiquitination process leads to ATG101 elimination via a proteasomal pathway (
Figure 2a).
HUWE1 was identified as an upstream E3 ligase catalyzing ATG101 ubiquitination in cancer cell lines based on the substantial reduction in ubiquitinated ATG101 upon HUWE1 KD (
Figure 3b). In addition, we provide evidence for a potential physical interaction between HUWE1 and ATG101 through immunoprecipitation analysis (
Figure 3c). We also found that reduced ubiquitination by HUWE1 KD led to ATG101 accumulation (
Figure 3a), further supporting ubiquitination-induced proteasomal degradation as an important regulatory mechanism for maintaining ATG101 levels. Moreover, knockdown of HUWE1 enhanced the rate of LC3 puncta formation in cancer cells under metabolic stress (
Figure 4a), indicating that this regulatory mechanism for ATG101 levels directly modulates autophagy.
HUWE1 is an E3 ubiquitin ligase harboring HECT domain, which is known to regulate cell proliferation and cell death and, thus, is potentially an important factor in tumorigenesis [
33,
34,
35,
36]. However, functional studies have reported discordant effects of changes in HUWE1 activity due to its functionally diverse targets. For instance, HUWE1 substrates include both anti- and pro-apoptotic factors [
35,
37,
38]. HUWE1 has also demonstrated dual roles during tumorigenesis, again reflecting the functional diversity of target substrates, including both oncogenic molecules, such as c-Myc and MIZ-1[
39,
40], as well as tumor suppressing molecules such as P53 [
38] and BRCA1 [
41,
42]. A recent report identified the autophagic protein WIPI2 as another potential substrate for ubiquitination by HUWE1. Further, this regulation was negatively regulated by mTORC1-mediated phosphorylation [
27]. WIPI2 was identified to contribute to the autophagosome elongation step by recruiting ATG 12-5-16 complexes to the autophagosome precursor forms [
43]. Accordingly, we examined whether increased autophagy in HUWE1-depleted cancer cells could be suppressed by knockdown of WIPI2 as well as by ATG101 knockdown. Indeed, GFP-LC3 puncta formation, a marker for autophagosomes, was enhanced by shHUWE1 cells and suppressed significantly by an siRNA against ATG101 (
Figure 4c). However, both siATG101 and siWIPI2 transfection showed similar suppression compared to that of single knockdown, siWIPI2 or siATG101 (
Figure 4d), implying that both ATG101 and WIPI2 act as a critical role on the same pathway for regulating autophagy activity, despite being involving in distinct stages. Interestingly, the physical association between ATG101 and WIPI2 is mediated through the C-terminal domain of ATG101, which is highly ubiquitinated (
Figure 4e.f).
Finally, we demonstrated that ATG101-mediated autophagy facilitated while ATG101 downregulation by HUWE1-mediated ubiquitination impaired cancer cell survival (
Figure 5a). Further, double knockdown of both ATG101 and WIPI2 in shHUWE1 cancer cells significantly increased the apoptotic death rate compared to that in shCTL cells (
Figure 5b). Thus, either the HUWE1/ATG101 or HUWE1/WIPI2 pathway could be potential targets for suppressing tumor cell survival, and these reverse combinational approaches may be more effective.
Our results demonstrate that HUWE1 destabilizes ATG101 by poly-ubiquitination at the C-terminus, thereby suppressing ATG101-mediated autophagy activity and further inhibiting cancer cell survival under nutrient deprivation conditions (
Figure 5c). Due to this reciprocal regulation of ATG101 and HUWE1, ATG101-mediated autophagy activation under HUWE1 depletion may overcome the metabolic stressors frequently encountered by cancer cells. As discussed earlier, suppression of autophagy may be a feasible strategy to limit tumor growth or enhance anticancer treatment efficacy. However, the precise functions of HUWE1 in cancer progression are controversial, as they are determined not only by the physiological functions of target substrates, but also by other types of post-translational modifications. Therefore, additional studies, including in vivo experiments using spontaneous cancer mouse models, are needed to better understand the tumor suppressing functions of HUWE1 mediated by elimination of autophagy proteins. Based on our findings, however, further studies are warranted on the contributions of HUWE1-mediated autophagic protein ubiquitination to cancer progression and treatment response.
4. Materials and Methods
4.1. Cell Lines
MIA PaCa-2, HEK293T, and HeLa cells were kindly provided by YH Kim, KT Kim (National Cancer Center Korea), which are originally purchased from the American Type Culture Collection (ATCC; Manassas, VA, USA). mt-Keima and Parkin stably expressing HeLa cells was kindly provided by Dr. Jeanho Yun (Dong-A University, Busan, Korea). All cells were maintained at 5% CO2 and 37 °C in Dulbecco’s Modified Eagle Medium (DMEM) supplemented with 10% fetal bovine serum (FBS; HyClone, Logan, UT, USA), 100 U/mL penicillin, and 100 μg/mL of streptomycin (Gibco, Waltham, MA, USA) For starvation media, Earle’s Balanced Salt Solution (EBSS) or Hank’s balanced saline solution (HBSS) was used as a base solution and then supplemented with 10% dialyzed FBS, glucose, vitamins, HEPES and minerals at the same concentration as in DMEM.
4.2. Generation of Stable Cell Lines
GFP-LC3 or mCherry-GFP-LC3 was stably expressed in HeLa and MIA PaCa-2 cells using a retroviral vector following standard protocols for viral transduction. For generating HUWE1 knockdown cell lines, Lenti-viral vector (pLKO.1; Addgene) expressing shRNA against HUWE1 was constructed. The following shRNA sequences were used for the constructs : Forward : 5′-CCGGCCACACTTTCACAGATACTATCTCGAG ATAGTATCTGTGAAAGTGTGGTTTTTG-3′, Reverse: 5′- AATTCAAAAACCACACTT
TCACAGATACTATCTCGAGATAGTATCTGTGAAAGTGTGG -3′. Stable knockdown cells were generated using the lentiviral vector harboring either shHUWE1 or a scramble shRNA as a control following standard protocols for viral transduction.
For generating non-targeting sgRNA and ATG101 KO cell lines, LentiCRISPRv2-based ATG101 CRISPR-Cas9 guide RNA expression plasmid (Gene Script, U0448BI200-1; Piscataway, NJ, USA,) and LentiCRISPRv2-sgControl expression plasmid was used. The following sgControl sequence was used for the constructs : 5′-CACCGGCACTACCAGAGCTAACTCA-3′. Then viral transduction processes were followed by standard protocols. Subsequently after appropriate selection steps, immunoblotting was performed to test the expression of the proper gene sets in stable cell lines.
4.3. Antibodies and Reagents
Primary antibodies against ATG13 (13468), ATG101 (13492), LC3B (2775) and WIPI2 (8567) were purchased from Cell Signaling Technology (Danvers, MA, USA); Antibodies against HUWE1 (A300-486), β-actin (A300–491A), HA (A190–108A) and WIPI2 (A305-324A) were purchased from Bethyl Laboratories(Montgomery, TX, USA); those against FLAG M2 (F1804) and FLAG (F7425) were purchased from Sigma Aldrich (St. Louis, MO, USA); antibody against GFP (mouse SC-9996)(rabbit SC 8334) were purchased from Santa Cruz Biotechnology; and antibody against p62(610832) was purchased from BD Bioscience; antibody against ATG14 (GTX119950) was purchased from GeneTex (Hsinchu, Taiwan). Secondary antibodies against horseradish peroxidase-linked anti-rabbit (A120–101P) and anti-mouse (A90–116P), were purchased from Bethyl Laboratories.
Hoechst 33342 (H3570), LipofectamineTM 2000 (11668019), LipofectamineTM RNAiMAX (13778150) were purchased from Thermo Fisher Scientific (Waltham, MA, USA). Rapamycin (Rapamycin from Streptomyces hygroscopicus, R0395), CCCP (carbonyl cyanide 3-chlorophenylhydrazone, C2759), Chloroquine (CQ, C6628), MG132 (M7449), and Cycloheximide (CHX, C4859) were purchased from Sigma Aldrich. Protease inhibitor cocktail tablets (11697498001) were purchased from Roche Applied Bioscience (Penzberg, Germany).
4.4. DNA Construct and siRNA
For constructing the FLAG-ATG101, ATG101 encoding DNA fragment that amplified by a polymerase chain reaction (PCR) was inserted between the EcoRI and XhoI sites of the pCMV9-3x FLAG vector. The full-length ATG101 cDNA was provided by the Korea Human Gene Bank (Daejeon, Korea). A plasmid encoding GFP-LC3B in a MigRI-based retroviral vector removed GFP reporter was generously provided by Dr. Craig Thompson (Memorial Sloan Kettering Cancer Center, New York, NY, USA). A plasmid encoding mCherry-GFP-LC3B in pBabe vector was provided by Dr. Jayanta Debnarth through Addgene (22418) (Watertown, MA, USA). Plasmids encoding HA-ubiquitin and pcDNA3-HA were provided by Dr. Seok Hee Park (Sungkyunkwan University, Seoul, Korea). Plasmids pRK5-HA-ubiquitin-WT, pRK5-HA-ubiquitin-K27, pRK5-HA-ubiquitin-K48, pRK5-HA-ubiquitin-K63 were kindly provided by Dr. Jaewhan Song (Yonsei University, Seoul, Korea).
Negative control siRNA (non-targeting pool) and siRNA targeting the genes of interest were purchased from Genolution Inc. (Seoul, Korea).As following siRNA sequences were used for the indicated target genes: siControl : 5′-CUCGUGCCGUUCCAUCAGGUAGUU-3′ ; siATG101, 5′-ACUUCAUCGACUUCACUUATT-3′ (#1) and 5′-CAGCCCUACCUGUACAAGATT-3′ (#2); siHUWE1, 5′-CAUUGGAAAGUGCGAGUUA-3′ (#1) and 5′-CUGUGAGAGUGAUCGGGAA-3′ (#2); siCHIP, 5′-CGAGCGCGCAGGAGCTCAA-3′ (#1) and 5′-AGCTGGAGATGGAGAGCTA-3′(#2); siTRAF6, 5′-CCACGAAGAGAUAAUGGAUGCCAAA-3′ (#1) and 5′-GTTCATAGTTTGAGCGTTA-3′ (#2); siWIPI2, 5′-TACGGAAGATGTGTGCATT-3′ (#1) and 5′-GACAGUCCUUUAGCGGCATT-3′ (#2).
4.5. Mutagenesis
All mutants of ATG101 were generated by site-directed mutagenesis, substituting the central 1–2 nucleotides of the desired mutagenic site with two complimentary mutagenic primers using the Muta-Direct site-directed mutagenesis kit (iNtRON Biotech, Sungnam Korea; cat no. 15071), following the manufacturer’s instructions.
4.6. LC–MS/MS Analysis
The protein samples were precipitated using cold acetone, reduced with 10 mM dithiothreitol (DTT), and alkylated with iodoacetamide (IAA). The alkylated samples were digested with mass spec grade trypsin/lys-C mix in 50 mM Tris-HCl (pH 8) for 12 h at 37 °C. The digested peptides were analyzed by a Q Exactive hybrid quadrupole-orbitrap mass spectrometer (Thermo Fisher Scientific) coupled with an Ultimate 3000 RSLCnano system (Thermo Fisher Scientific). The peptides were loaded onto trap columns (100 μm × 2 cm) packed with Acclaim PepMap100 C18 resin, separated on an analytical column (EASY-Spray column, 75 μm × 50 cm, Thermo Fisher Scientific), and sprayed into the nano-electrospray ionization source. The Q Exactive Orbitrap mass analyzer was operated in a top ten data-dependent method. Full MS scans were acquired over a range of 300–2000 m/z with a mass resolution of 70,000 (at 200 m/z). The automatic gain control target value was 1.0 × 106. The ten most intense peaks with charge state ≥2 were fragmented in the higher-energy collisional dissociation collision cell with normalized collision energy of 30, and tandem mass spectra were acquired in the Orbitrap mass analyzer with a mass resolution of 17,500 at 200 m/z. Database searching of all raw data files was performed using Proteome Discoverer 2.2 software (Thermo Fisher Scientific). SEQUEST-HT was used for database searching against the Swiss-Prot Homo sapiens database. Database searching against the corresponding reversed database was also performed to evaluate the false discovery rate (FDR) of peptide identification. The database searching parameters included precursor ion mass tolerance 10 ppm, fragment ion mass tolerance 0.08 Da, fixed modification for carbamidomethyl cysteine, and variable modifications for methionine oxidation. We obtained an FDR of less than 1% on the peptide level and filtered for high peptide confidence.
4.7. Immunoprecipitation
Ubiquitin, ATG101 and WIPI2 were tagged with a human influenza HA epitope, FLAG and GFP, respectively. Epitope-tagged proteins were co-expressed in HEK293T and MIA PaCa-2 cells. In the stage of cell harvest, HEK293T cells were washed with ice-cold PBS and lysed in lysis buffer containing 1% NP-40, 0.2 mM PMSF, 10 mM NaF, 20 mM Tris-HCl, 10% glycerol, 2 mM EDTA, 1 mM Na3O4V, 150 mM NaCl, protease inhibitor cocktail (11836153001; Roche Applied Bioscience) and 1% phosphatase inhibitor cocktail (Sigma Aldrich). Then, each 0.5 mg of cell lysates were incubated with 2 μg primary antibodies against FLAG M2 (Sigma Aldrich), HA (Bethyl Laboratories), GFP (Santa Cruz), HUWE1 (Bethyl Laboratories), rabbit IgG (Sigma Aldrich), or mouse IgG (Sigma Aldrich) at 4 °C for 90 min. Then, 50 μL protein A agarose beads (GenDEPOT, Katy, TX, USA) were added and incubated at 4 °C for overnight. Immunoprecipitates were washed three times with wash buffer and then eluted by boiling in Sodium dodecyl sulfate (SDS) sample buffer with β-mercaptoethanol (β-ME) for 5 min. Then, western blot was performed for immunoblotting immunoprecipitates with the indicated antibodies. Liquid chromatography mass spectrometry (LC–MS) was used for analyzing the immunoprecipitated complex.
4.8. Fluorescence Microscopy Analysis of Autophagy
Cell lines stably expressing LC3B tagged with GFP were used for monitoring autophagy activity by confocal fluorescence microscopy. Cells stably expressing the tandem mCherry-GFP-LC3 construct were also used. MIA PaCa-2 and HeLa cells stably expressing GFP-LC3 or mCherry-GFP-LC3 and transfected with either control or HUWE1 shRNA were cultured in a glass-bottomed chamber (Lab-Tek; Thermo Fisher Scientific) overnight, and then replaced with DMEM culture medium containing the indicated chemicals or starvation media for the indicated time periods. Nuclei were stained using Hoescht-33342. Images were acquired with the LSM780 confocal fluorescent microscope (Carl Zeiss, Oberkochen, Germany) and the percent of either GFP-LC3 puncta area or mCherry-LC3 puncta area were normalized to the Hoechst 33342-stained area, which was quantified using ZEN black software (Carl Zeiss). The area of LC3 puncta was counted in five different arbitrary areas from three independent experiments.
4.9. Fluorescence Microscopy Analysis of Mitophagy
HeLa cells stably expressing mt-Keima and Parkin were used for monitoring mitophagy activity by confocal fluorescence microscopy [
44]. Cells were cultured and reverse transfected with siRNA onto a glass-bottomed chamber (Lab-Tek; Thermo Fisher Scientific) for 48 h, and then replaced with DMEM culture medium containing the indicated chemicals or starvation media for the indicated time periods. Nuclei were stained using Hoescht-33342. Images were acquired with the LSM780 confocal fluorescent microscope (Carl Zeiss, Oberkochen, Germany). Fluorescence of mt-Keima was imaged in two channels via two sequential excitations (458 nm, “green” and 561 nm, “red”, respectively) and using a 570 695 nm emission range. The value of mt-Keima red area was divided by the value of mt-Keima green area and then was normalized to the Hoechst-stained area. The quantification was performed using ZEN black software (Carl Zeiss).
4.10. Cell Proliferation and Death Assay
Cell proliferation was measured using the image-based cell proliferation analyzer IncuCyteTM (Essen Instruments, Ann Arbor, MI, USA). Cells were cultured in nutrient-complete DMEM media on multi-well plates overnight and imaged throughout the indicated time period. IncuCyteTM automated cell proliferation detector was used to measure cell proliferation through quantitative kinetic processing metrics derived from time-lapse image acquisition and presented as a percentage of cell confluence over time. Cell viability was determined by Annexin V and PI staining following standard protocols at the indicated time periods (556547, BD Biosciences, San Jose, CA, USA). Cells negative for both Annexin V and PI were considered live cells. The proportion of dead cells was measured based on the number of Annexin V and PI single and both-stained cells. The fluorescence of stained cells was detected using the FACS Verse analyzer (BD Biosciences).
4.11. Clonogenic Assay
MIAPaCa-2 shControl or shHUWE1 cancer cells were reverse-transfected with each siRNA in 12-well plates at 400 cells/well in duplicate. Then, the cells were kept at 37 °C in 5% CO2 for 24 h, and the culture medium was changed into fresh complete media for 4 days. Colonies were fixed with 3.7% Formaldehyde and were stained with 0.5% crystal violet.
4.12. Western Blotting
Cells were harvested in ice-cold RIPA lysis buffer (50 mM Tris-Cl, pH 7.4, 150 mM NaCl, 1% NP-40, 0.5% Na-deoxycholate, 0.1% SDS, 1 mM EDTA) containing protease inhibitor cocktail (Roche Applied Bioscience) and phosphatase inhibitor (Sigma Aldrich). Soluble lysate fractions were isolated by centrifugation at 20,000× g, for 20 min at 4 °C and quantified using the Pierce bicinchoninic acid (BCA) Protein Assay kit (Thermo Fisher Scientific). Samples were resolved by SDS polyacrylamide gel electrophoresis using equal concentrations of protein and transferred to polyvinylidene fluoride membranes. The membranes were blocked with 5% skim milk and then probed with the indicated primary and secondary antibodies following standard protocols. Image J software (NIH, Bethesda, MD, USA) was used for quantification of the indicated bands.
4.13. Statistical Analyses
Immuno-blotted proteins were quantified and using Image J software version 1.50i (NIH, Bethesda, MD, USA) and normalized by loading control. Data are expressed as the mean ± standard error of the mean, which are from at least three independent experiments. Statistical significance was calculated using Student’s t test in Graph Pad Prism 8. A value of p < 0.05 was considered statistically significant (* p < 0.05; ** p < 0.01 ; *** p < 0.001).