Abstract
c-Jun NH2-terminal kinases (JNKs) are responsive to stress stimuli and their activation regulate key cellular functions, including cell survival, growth, differentiation and aging. Previous studies demonstrate that activation of JNK requires dual phosphorylation by the mitogen-activated protein kinase kinases. However, other post-translational mechanisms involved in regulating the activity of JNK have been poorly understood. In this work, we studied the functional significance of reversible lysine acetylation in regulating the kinase activity of JNK. We found that the acetyl transferase p300 binds to, acetylates and inhibits kinase activity of JNK. Using tandem mass spectrometry, molecular modelling and molecular dynamics simulations, we found that acetylation of JNK at Lys153 would hinder the stable interactions of the negatively charged phosphates and prevent the adenosine binding to JNK. Our screening for the deacetylases found SIRT2 as a deacetylase for JNK. Mechanistically, SIRT2-dependent deacetylation enhances ATP binding and enzymatic activity of JNK towards c-Jun. Furthermore, SIRT2-mediated deacetylation favours the phosphorylation of JNK by MKK4, an upstream kinase. Our results indicate that deacetylation of JNK by SIRT2 promotes oxidative stress-induced cell death. Conversely, SIRT2 inhibition attenuates H2O2-mediated cell death in HeLa cells. SIRT2-deficient (SIRT2-KO) mice exhibit increased acetylation of JNK, which is associated with markedly reduced catalytic activity of JNK in the liver. Interestingly, SIRT2-KO mice were resistant to acetaminophen-induced liver toxicity. SIRT2-KO mice show lower cell death, minimal degenerative changes, improved liver function and survival following acetaminophen treatment. Overall, our work identifies SIRT2-mediated deacetylation of JNK as a critical regulator of cell survival during oxidative stress.
Introduction
c-Jun NH2-terminal kinases (JNKs) were originally identified as stress-activated protein kinases that are encoded by three distinct genes. JNK1 and JNK2 are expressed in a variety of tissues, whereas JNK3 expression is restricted primarily to the brain, heart and testes [1, 2]. JNK is activated in response to a variety of stress stimuli, including DNA damage, growth factors, cytokines, oxidative and genotoxic stresses [3]. Previous studies found that activation of JNK requires dual phosphorylation by MKK4 and MKK7 on Thr183 and Tyr185 residues in a Thr-X-Tyr motif [2, 4]. The well-characterized targets of JNKs are mostly transcription factors and cell signalling proteins, including c-Jun, ATF2, IRS1 and Bcl-2 [1-4]. Though JNK activation requires phosphorylation, the other regulatory mechanisms behind JNK activation have been poorly understood. In cells, JNK activation results in a variety of outcomes, one of them being cell death [5]. The role of JNK in promoting cell death was first established in neurons [6]. Similarly, JNK1−/−/JNK2−/− mice were protected from ultraviolet (UV)-induced cell death [7]. Furthermore, virus-induced cell death occurs via JNK activation in HeLa cells [8]. JNK inhibitors have been shown to be protective against reactive oxygen species (ROS), mitochondrial dysfunction and cancer cell death [9]. Interestingly, JNK inhibitor reduced JNK activation and attenuated mitochondrial oxidant stress-induced cell death triggered by acetaminophen (APAP) toxicity, the most prevalent cause of drug-induced liver injury in western countries [10, 11].
Lysine acetylation is one of the reversible post-translational modifications linked to the pathogenesis of metabolic diseases [12]. Sirtuins are class III HDACs, which are homologues of the yeast Sir2 that requires NAD+ as a cofactor. In mammals, seven sirtuin isoforms (SIRT1–7) having a common catalytic core domain but structurally different N- and C-terminal extensions have been characterized. Sirtuins protect against a variety of stress stimuli but mark the cells for death, in case of unrepairable damage. SIRT2 is predominantly localized in the cytoplasm. Like JNK, SIRT2 is also known to shuttle between cytoplasm and nucleus during stress [13]. SIRT2 regulates cell differentiation, growth, autophagy and cell cycle [14]. SIRT2-deficient (SIRT2-KO) mice have been shown to exhibit genomic instability and tumour in various organs [15]. Previous report suggests that oxidative stress increases SIRT2 levels in cells and induces cell death under severe stress conditions [16]. SIRT2 overexpression induces susceptibility to cell death and its inhibition induces tolerance against oxidative stress [17]. Similarly, Sirtuin 2 inhibition attenuates post-ischemic liver injury [18] and suppresses hepatic fibrosis induced by carbon tetrachloride and thioacetamide in mice [19].
In this work, we studied the role of reversible acetylation on regulating the activity of JNK. Our results indicate that the SIRT2 deacetylates Lys153 of JNK to enhance ATP binding, binding to upstream kinase and subsequently its catalytic activity. We found that SIRT2-mediated deacetylation of JNK regulates oxidative-stress-induced cell death in HeLa cells. Our results demonstrate that SIRT2-KO mice were protected against APAP-induced liver toxicity.
Results
Acetyltransferase p300 regulates lysine acetylation of JNK
To test whether JNK is an acetylated protein, we immunoprecipitated endogenous JNK and assessed acetylation status by western blotting (Fig. 1a). Similarly, we immunoprecipitated total cellular acetylated proteins with Ac-Lys antibody and probed for the JNK (Fig. 1b). Our results suggested that both JNK isoforms are acetylated proteins (Fig. 1a, b). Further, we found that treatment of Trichostatin A (TSA), a Class I and II histone deacetylase (HDAC) inhibitor, does not markedly influence the acetylation or phosphorylation of JNK, although we found mild increase in acetylation of JNK. However, treatment of nicotinamide (NAM), a class III HDAC inhibitor, markedly increased the acetylation levels of JNK and markedly reduced phosphorylation and activity of JNK, as assessed by the phosphorylation of c-Jun, a well-characterized target of JNK (Fig. 1c). Our short hairpin RNA (shRNA) screen results indicate that depletion of p300, but not other acetyl transferases, markedly increased the phosphorylation of JNK (Fig. 1d, e). Further results revealed that p300 strongly acetylates JNK, while p300/CBP-associated factor (PCAF) acetylates less efficiently in vitro (Fig. 1f). Hence, p300 was chosen for further experiments. Our findings indicate that p300 and JNK interacts with each other (Fig. 1g) and p300 depletion markedly reduced acetylation of JNK, while increasing the phosphorylation and catalytic activity of JNK towards c-Jun (Fig. 1h). Conversely, overexpression of p300 enhanced the acetylation of JNK, while reducing the phosphorylation and activity of JNK towards c-Jun in HeLa cells (Fig. 1i) and 293T cells (Figure S1a). Collectively, these results suggest that lysine acetylation of JNK by p300 reduces phosphorylation and catalytic activity of JNK.
SIRT2 deacetylase influences the enzymatic activity of JNK
In our initial experiments, treatment of NAM increased the acetylation, while reduced the JNK activity (Fig. 1c). Our screen for sirtuin isoforms found SIRT2 as JNK deacetylase, which can reduce the acetylation and enhance phosphorylation of JNK (Fig. 2a). Treatment of AGK2, an SIRT2 inhibitor, markedly increased acetylation, while reducing phosphorylation of JNK and activity towards c-Jun (Fig. 2b). Our further experiments suggested that SIRT2 interacts and co-localizes with JNK (Fig. 2c, d, Figure S1b). Interestingly, SIRT2 depletion enhanced acetylation, while reducing the phosphorylation and activity of JNK towards c-Jun (Fig. 2e). On the other hand, SIRT2 overexpression markedly reduced the acetylation of JNK but increased the phosphorylation of JNK (Fig. 2f, Figure S1c). Our in vitro kinase assay results show that SIRT2, but not SIRT2-H187Y, a catalytic inactive mutant, promotes catalytic activity of JNK towards c-Jun by deacetylation (Fig. 2g, h). Further luciferase reporter assay result suggested that SIRT2 depletion markedly reduces transcriptional activity of c-Jun (Figure S1d). Conversely, wild-type SIRT2, but not deacetylase-defective mutants of SIRT2 overexpression resulted in increased transcriptional activity of c-Jun (Figure S1e). We found that SIRT2, but not catalytic inactive mutant, reduced the acetylation of JNK (Figure S1f). These results indicate that SIRT2 regulates endogenous activity of JNK by regulating its phosphorylation. To translate these in vitro findings in vivo, we analysed the levels of JNK acetylation and its phosphorylation in wild-type and SIRT2-KO mice. We found increased acetylation and decreased phosphorylation of JNK in the liver of SIRT2-KO mice (Fig. 2i, j). Similarly, SIRT2-KO mice liver tissue samples exhibited reduced phosphorylation of c-Jun, indicating reduced activity of JNK in SIRT2-KO conditions (Fig. 2j). Interestingly, the mRNA levels of c-Jun target genes, p53 and p16, were significantly low in the SIRT2-KO liver, suggesting that SIRT2 deficiency reduced c-Jun activity, which might be linked to the impaired activity of JNK.
Deacetylation of JNK favours phosphorylation by upstream kinase, MKK4
Previous studies have shown that JNK shuttles between nucleus and cytoplasm [20]. Our confocal microscopic analysis suggested inhibition of SIRT2 by AGK2 do not influence the localization of green fluorescent protein (GFP)-JNK1 (Figure S1g). On the similar lines, overexpression of neither wild-type SIRT2 nor deacetylase activity-defective mutants of SIRT2 changes localization of GFP-JNK1 (Figure S1h). These results suggested that acetylation has no effect on JNK sub-cellular localisation. Earlier works have demonstrated that SIRT2 regulates cellular functions by transcriptional regulation [21]. However, our results suggested that SIRT2-KO mice does not show any changes in the expression levels of JNK isoforms in the liver (Fig. 3a). Similarly, overexpression of SIRT2 does not modulate the mRNA levels of JNK isoforms (Figure S1i). In addition, SIRT2 deficiency does not change the expression of upstream kinases and phosphates, previously known to regulate the activity of JNK in liver samples (Fig. 3b). Similarly, SIRT2 overexpression does not change the protein levels of upstream phosphates and phosphorylation of MKK4 (Fig. 3c). Collectively these findings suggested that SIRT2 deficiency or overexpression do not alter the expression of JNK or its upstream kinases and phosphates. Most likely, SIRT2 might exclusively regulate JNK through reversible acetylation. Under stress conditions, activation of JNK is mediated by upstream kinases MKK4 [4]. We do not observe any significant changes in the interaction between MKK4 and JNK in the SIRT2-overexpressed cells (Fig. 3d), suggesting that SIRT2 do not influence the binding of MKK4 with JNK. Next, we tested whether deacetylation of JNK affect the ability of MKK4 to phosphorylate JNK and found that deacetylation favours the phosphorylation of JNK by MKK4 (Fig. 3e). To verify these findings, we tested the MKK4-dependent phosphorylation of JNK in cells overexpressed with SIRT2 or its catalytic mutant, SIRT2-H187Y. Consistent with previous results, we found that SIRT2 overexpression enhances the MKK4-dependent phosphorylation of JNK in a deacetylase activity-dependent manner (Fig. 3f). These findings suggest that SIRT2 favours the phosphorylation of JNK by its upstream kinase MKK4.
Tandem mass spectrometry, molecular modelling and molecular dynamics simulations indicate that acetylation of JNK at Lys153 regulate ATP binding
Proteomic analysis identified six different acetylated lysine residues in JNK1 (Lys30, 153, 160, 166, 265 and 308) (Figure S2a). Further homology alignment indicated that Lys153 and Lys166 are conserved across diverse species (Figure S2b) and across JNK isoforms (Figure S2c), suggesting a possibility that all isoforms of JNK may be regulated by reversible acetylation. Indeed, our western blotting analysis indicate the acetylation of all JNK isoforms (Fig. 1c, h, j). Further, stoichiometric analysis of acetylation for Lys153 and Lys166 was 3.37% and 4.63%, respectively (Figure S2d). To delineate the structural basis for the effect of acetylation on the binding of adenine nucleotide to the pocket of JNK, we modelled in silico acetylation on the side chain of K151 of wild-type crystal structure (PDB ID 4QTD). The modelled structure suggests that the acetylated side chain of K151 in JNK will be in close proximity to the negatively charged phosphates of the modelled adenosine triphosphate (ATP) nucleotide and magnesium ion to have stearic affects (Fig. 4a). Therefore, we assumed that the proximal location of the bulky acetylated side chain of K151 might hamper the binding of the adenosine nucleotide to the pocket of JNK.
Further, to comprehend the effect of acetylation on the binding of adenosine nucleotide to the pocket of JNK, we performed MD simulations of the wild-type and acK151 mutant of JNK, respectively. The production run of two independent trajectories of each system indicate a stable root mean square deviation (RMSD) of backbone Cα atoms ranging between 0.1 and 0.3 nm (Fig. 4b). Further, we observed similar root means square fluctuation (RMSF) values in the two trajectories for the backbone Cα atoms of each system (Figure S3a, S3b). However, visual analysis of the trajectories showed significant displacement of the ATP nucleotide in the acetylated mutant while in contrast the γ-phosphate of the ATP nucleotide in the wild-type moved closer to the side chain of K151 residue (Fig. 4c). In agreement, the RMSD value for the adenosine nucleotide is moderately higher in both the trajectories of the acetylated mutant compared to the wild type (Fig. 4d). For analysis, we used one of the stable trajectory of the wild type (dark green) and acK153 (dark blue), respectively. To quantify the nucleotide displacement effect, we plotted the distance between the nitrogen atom of side chain amine in K153 and acK153 with the γ-phosphate of ATP nucleotide (Fig. 4e). Figure 4e illustrates a considerable variation in the distances between these two atoms in the acetylated mutant compared to the wild type. As previously visualized in the wild type, the negatively charged phosphate of the ATP nucleotide moves closer to the nitrogen atom in the amine side chain of K153 residue within 10 ns (Fig. 4c, e). The significantly higher distance between the side chain nitrogen atom of acK153 and γ-phosphate of adenosine tri-phosphate clearly indicates that the neutralization of positive charge in the side chain amine, coupled with the stearic occlusion caused by the bulky acetylated side chain, affects the binding of the nucleotide to the pocket of the acK153 mutant.
K153 is absolutely conserved and mostly buried residue in JNK (Fig. 4a). Surprisingly, our experimental results showed improved binding of the ATP in the K151R mutant of JNK. To gain structural insight into the K153R mutant, we generated an in silico structural model of K153R that was further energy minimized. The energy-minimized structure of R153 shows that the arginine side chain adopts a conformation very similar to K153 in wild-type JNK. The arginine side chain is well fitted in place of lysine in the structure. Also, the orientation and distance between the side chain NH2 of R153 and O3G atom of γ-phosphate is similar to the side chain NZ of K153 and O3G atom of γ-phosphate (Fig. 4f). Therefore, we argue that it is plausible that JNK K153R mutant will have ATP binding and activity similar to the wild type JNK (Fig. 4f).
To test whether acetylation regulate the ATP binding to JNK, we performed ATP-binding assays with either [α32-P] or [γ32-P] ATP. Total counts per minute and dot blot analysis obtained in a scintillation counter indicated JNK1-K153R mutant binds to ATP at higher levels than wild-type or K153Q mutants of JNK1 (Fig. 4g, Figure S3c). These findings suggested that acetylation of Lys153 impairs binding to ATP. Our further results suggest that SIRT2 overexpression do not markedly change the activity of JNK-K153R or K153Q mutants (Figure S3d), indicating that K153 may be the deacetylation target of SIRT2. We found that mutation of Lys153 to Arg153 (JNK1-K153R) increased the phosphorylation and activity of JNK (Fig. 4h). However, we do not see any change in the phosphorylation and acetylation of JNK, when wild-type JNK mutated to either K166R or K166Q (Figure S3e). Moreover, our luciferase assay results suggested JNK1-K153R is fourfold more active than JNK-K153Q towards c-Jun (Fig. 4i). These results indicate that Lys153 acetylation of JNK inhibits ATP binding and thus impairs the catalytic activity of JNK.
SIRT2 dynamically regulates JNK acetylation during cellular stress
We treated cells with H2O2 (oxidative stress) or exposed to UV (genotoxic stress) to study the effect of acetylation on stress-dependent activity of JNK. Treatment with H2O2 at two different concentrations, increased the phosphorylation of JNK and its catalytic activity towards c-Jun (Fig. 5a, b, Figure S3f). Similar results were observed after UV exposure, another known activator of JNK [7, 22] (Fig. 5c). Interestingly, H2O2 treatment elevated SIRT2 levels, while acetylation of tubulin-K40 was reduced (Fig. 5a). We observed time-dependent increase in the phosphorylation, which corresponds to reduced acetylation of JNK following H2O2 treatment (Fig. 5b). Similar deacetylation of JNK was observed in cells exposed to UV (Fig. 5c). Our results suggest that p300 overexpression inhibits JNK phosphorylation and catalytic activity under both basal and stress conditions (Fig. 5d). In addition, SIRT2 overexpression increased the phosphorylation and activity of JNK during cellular stress (Figure S3g), suggesting that SIRT2 augments JNK activity during stress. Interestingly, we found increased levels of SIRT2 in stress conditions (Fig. 5a–c), suggesting that SIRT2 might be stabilized in oxidative and genotoxic stress. Collectively, these results suggest that acetylation of JNK is dynamically regulated by SIRT2 and p300 during oxidative and genotoxic stress. We found that SIRT2 deficiency or SIRT2 inhibition by AGK2 impairs the H2O2-induced phosphorylation of JNK, which is associated with failure of deacetylation of JNK (Fig. 5e, f). Interestingly, JNK-K153R mutant show enhanced, whereas JNK-K153Q mutant exhibit reduced H2O2-induced phosphorylation (Fig. 5g). Overall, these results suggest that SIRT2 is required for H2O2-mediated deacetylation and activation of JNK.
JNK deacetylation by SIRT2 promotes stress-induced cell death
Previous studies suggested that JNK plays a critical role in cell survival [22, 23]. Inhibition of JNK has been shown to protect HeLa cells against H2O2-induced cell death [24, 25]. Our results suggested that SIRT2-depleted cells were significantly resistant to H2O2-induced cell death (Fig. 6a–c) and show reduced transcriptional activity of c-Jun following H2O2 treatment (Fig. 6d). Conversely, overexpression of wild type but not catalytic inactive mutants of SIRT2 increased the susceptibility of HeLa cells to H2O2-induced cell death (Fig. 6e–g). Like our previous findings, both inhibition or depletion of SIRT2 enhanced the cell survival following H2O2 treatment (Figure S4a, S4b). On the other hand, SIRT2 overexpression resulted in 43% reduction in cell survival after H2O2 treatment (Figure S4c). These findings indicate that SIRT2 is required for the H2O2-induced cell death in HeLa cells. Further results indicate that overexpression of JNK1-K153R resulted in reduction in cell survival, whereas JNK1-K153Q promoted cell survival following H2O2 treatment (Figure S4d, S4e and S4f). Consistently, we have observed enhanced c-Jun transcriptional activity in cells overexpressing JNK-K153R (Figure S4g). Next, we tested whether JNK-mediated cell death is linked to SIRT2-mediated deacetylation of JNK. Interestingly, treatment of SP600125, a JNK-specific inhibitor, markedly reduces the JNK activity and partially rescued the SIRT2-mediated increase in H2O2-induced cell death and promoted survival (Fig. 6h–k, Figure S4h), suggesting that SIRT2-mediated deacetylation of JNK might be partly involved in H2O2-induced cell death.
SIRT2-KO mice were resistant to hepatotoxicity induced by APAP
APAP overdose causes severe hepatotoxicity in animals and humans. Although the pathophysiology of APAP-induced hepatotoxicity is complex, studies indicate that oxidative stress-induced activation of JNK acts downstream of APAP metabolism to promote cell death, degenerative changes and impaired function of the liver [11, 26, 27]. Therefore, we tested the susceptibility of SIRT2-KO mice to low dose of APAP (200 mg/kg). Histology analysis indicated that SIRT2-KO mice were resistant to liver injury and degenerative changes (Fig. 7a). Moreover, SIRT2-KO mice were resistant to cell death induced by APAP (Fig. 7b, c). Assessment of liver function supported the histological findings of less susceptibility of SIRT2-KO mice to APAP hepatotoxicity (Fig. 7d, e). Western blotting analysis of JNK acetylation and phosphorylation in the liver lysates of wild-type mice indicated that APAP treatment reduced the acetylation and thus increased the phosphorylation of JNK (Fig. 7f, g). However, SIRT2 deficiency impaired the activation of JNK due to elevated acetylation found in the liver lysates (Fig. 7f, g). Next, to assess the overall survival rate of mice following the acute toxicity, we used a high dose of APAP (600 mg/kg). Treatment of mice with high doses of APAP resulted in 100% death within 6 h in wild-type mice. However, SIRT2-KO mice were resistant and only 30% died at 6 h; 15% were alive even up to 48 h post treatment of 600 mg/kg APAP. These findings collectively indicate that SIRT2 deficiency might protect the liver by reduced activation of JNK following APAP toxicity.
Discussion
Our work establishes reversible acetylation as a novel post-translational mechanism that regulates the kinase activity of JNK. Our findings suggest that SIRT2-mediated deacetylation is essential for basal and stress-induced activation of JNK. We propose that SIRT2-mediated deacetylation of JNK promotes ATP binding and upstream kinase activity on JNK. The proposed mechanism supports the role of JNK in oxidative stress-induced HeLa cell death and APAP-induced hepatotoxicity.
Several upstream signals are known to activate JNK. It is possible that JNK will not be able to respond to upstream signals, if it is constitutively acetylated. We believe that acetylation may be the first line of control for JNK activity, as found in other non-histone proteins like p53 and AKT [28, 29]. It is worth noting that the physiological outcome of JNK activation depends on type of stress, duration of stimuli and the targeted cell type [30]. Similar to JNK, the role of SIRT2 also varies dependent on cell type or stimuli. Studies indicate that SIRT2 inhibition reverses the progression of pathology in neurodegenerative diseases [31]. Similarly, SIRT2 inhibition protects liver against post-ischemic liver injury [18] and hepatic fibrosis [19]. Our results are consistent with these previous findings and SIRT2 inhibition might protect liver against oxidative stress induced by APAP or other stressors. However, SIRT2 inhibition has been shown to promote cell death via p53 activation [32]. FoxO (forkhead box O transcription factor) family of transcription factor has been shown as SIRT2 deacetylase target under oxidative-stress stimuli, thus promoting cell death [16, 33]. Glycolytic enzyme phosphoglycerate mutase has been shown to be deacetylated and activated by SIRT2, as a result of increased ROS, thus promoting cell proliferation and tumour growth [34].
Members of the Sirtuin family are considered as mediators of longevity. Activation of sirtuins delays the development of aging-related diseases [35]. However, the idea of extending longevity by activation of sirtuins seems to be much complex than previously thought. It is interesting to study whether SIRT2 regulates longevity in mammals. Studies conducted in flies, worms and mammals clearly demonstrate that Insulin/IGF/AKT signalling (IIS) promotes aging and aging-related diseases [36]. JNK pathway antagonizes IIS and inhibits IRS1 and AKT, causing nuclear localization and transcriptional activation of FoxO transcription factors to promote longevity [37]. Consistent with our findings, overexpression of Sir2 promotes caspase-dependent apoptosis through activation of JNK in Drosophila. Our previous work and other reports clearly suggest that SIRT1, the closest homologue of the Sir2 gene in Saccharomyces cerevisiae, activates insulin signalling (ISS), in contrast to the expectations [29]. The present study shows that SIRT2 could activate JNK and promotes oxidative-stress-induced cell death in HeLa cells. However, the SIRT2-mediated deacetylation of JNK may have different physiological effect depending upon cell type. Chronic deacetylation-dependent hyperactivation of JNK may lead to development of several aging-related diseases like obesity, cancer, muscle degeneration, neurodegeneration and optic atrophy, as JNK is linked to the development of these diseases [2, 5, 38]. Consistent with this hypothesis, studies indicate that inhibition of SIRT2 is beneficial for neurodegenerative diseases and fibrosis [39, 40]. Thus, the physiological or pathological activation of JNK may be linked to the activity of SIRT2 deacetylase. Based on our work, we believe that modulation of SIRT2 might be a potential avenue for treating chronic aging-related diseases in mammals.
Materials and methods
Animal experiments, cell culture and reagents
All animal experiments were carried out with the approval of the Institutional animal ethics committee of Indian Institute of Science, Bengaluru, India constituted as per the article number 13 of the Committee for Control and Supervision of Experiments on Animals (CPCSEA), Government of India. We performed all animal experiments in accordance with CPCSEA guidelines for animal handling and welfare. Wild-type and SIRT2-KO mice were purchased from Jackson Laboratories, USA, and mice were housed in individual ventilated cages in the clear air facility of Central Animal Facility, Indian Institute of Science. Chow diet and water were given ad libitum. APAP hepatotoxicity experiments were performed as per the standard protocol [41]. Mice were harvested, and liver tissues were fixed immediately in neutral buffered formalin (10%) and preserved until processed further by automated tissue processor (Leica, Germany). Haematoxylin and eosin staining was performed to evaluate the level of degeneration in the liver tissues. TUNEL (terminal deoxinucleotidyl transferase-mediated dUTP-fluorescein nick end labelling) staining was performed using a commercial assay kit (Abcam). Liver function was assessed by measuring the serum aminotransferases by commercial assay kits. HEK 293T and HeLa cell lines were procured from ATCC and cells were cultured at 37 °C, 5% CO2 in Dulbecco’s Modified Eagle Medium supplemented with 10% foetal bovine serum with 100 units/ml penicillin and 100 µg/ml streptomycin. Antibodies were purchased from Sigma Aldrich, Millipore, Santacruz Biotech and Cloud-clone Corp. Plasmids were obtained from Addgene, USA and modified according to the experiment. All reagents, unless specified otherwise, are obtained from Sigma Aldrich. Antibodies used are as follows: Akt1/2/3 (sc-8312), c-Jun (sc-1694), p-c-Jun (sc-822), GAPDH (sc-25778), JNK (sc-571), p-JNK (sc-6254) from Santacruz Biotech, DUSP1, DUSP3, DUSP6 from Cloud-Clone Corp. Ac-Lys (9681), p-Akt (Ser473; 4060), p-Akt (Thr308; 13038), c-Jun Fusion (6093), p-JNK (9251), SIRT2 (12650), β-Actin (12262) from Cell signaling, Acetyl Lysine (06-933), JNK (2470917), p300 (2328343), p-JNK (3049) from Millipore, MKK4, DUSP4 and p-MKK4 are from Thermo Fisher Scientific. Secondary Rabbit anti-Mouse (sc-2005) and Goat anti-Rabbit (sc-2004) used are from Santacruz. Plasmids and adenoviruses used are as follows: PCAF, p300, GST-JNK, Flag-JNK1, GFP-JNK1, Flag-SIRT2, p300-shRNA-expressing adenovirus, SIRT2 adenovirus, and Null Adenovirus. shRNA for CBP, PCAF, p300, GCN5 and TIP60 are from sigma shRNA library. For all the adenovirus experiment,s viruses were used at a multiplicity of infection of 10. SIRT2 adenovirus was purchased from Vector Biolabs. Adenovirus vectors synthesizing shRNA against p300 and luciferase were kindly provided by B. Thimmapaya, Northwestern University, Chicago, USA. Full-length JNK1, p300, PCAF and SIRT2 genes were cloned in Flag or HA-tagged vectors. Transfection was performed using Lipofectamine 2000 transfection reagent (Invitrogen, USA) as per the manufacturer’s instructions. For generating stable knockdown, oligonucleotide sequences were designed and cloned in pLKO.1 vector. The insert was confirmed by agarose gel electrophoresis and sequencing (SciGenom). QuickChange Primer Design tool was used to design primers to introduce point mutations into the DNA sequences of SIRT2 and JNK. Site-directed mutagenesis was carried out as per previously described protocol [42]. The results were verified by sequencing (SciGenom).
Modelling and molecular dynamics simulations
Crystal structure of JNK (PDB ID 4QTD, resolution 1.5 Å) was used to generate the initial model for the wild-type JNK. Ligands SCH772984 and triphosphate seen in the pocket of JNK was replaced with the ATP molecule. The model was overlaid on the structure of ATP-bound JNK (PDB ID 4UX9, resolution 2.34 Å) to confirm the conformation of ATP ligand in the binding pocket. Computer-aided acetylation (acK153) was done using the PyTMs plugin of PyMOL [43]. UCSF Chimera software package was used to generate JNK-K153R mutant on the initial model of JNK wild type as template [44]. The modelled structure of JNK-153R was further energy minimized in GROMACS using steepest descent energy minimization until the system converged with Fmax no greater than 1000 kJ/mol/nm. In the final energy-minimized structure, the side chain of R153 adopts a conformation (with χ1 64.4˚, χ2 −170.5˚, χ3 70.2˚, χ4 −174.8˚) that matches well with the side chain conformation of K153 (χ1 67.2˚, χ2 −168.5˚, χ3 79.3˚, χ4 −178.7˚) in wild-type JNK. UCSF Chimera software package was used for visualization, analysis and generation of final images [43].
GROMACS simulation package, version 5.0.4 was used to run MD simulations on the initial models generated for the wild-type and acetylated mutant of JNK. Parameterization was performed using CHARMM27 force field with CMAP correction and rigid water model [45]. Each model was placed in dodecahedron box containing TIP3P water with a minimum distance of 10 Å between the protein atom and box surface. Counter ions Na+ and Cl− were added for charge neutralization. Steepest descent energy minimization was performed until the system converged with Fmax no greater than 1000 kJ/mol/nm. Both the systems were sufficiently equilibrated for 1.2 ns under NVT and 2.4 ns under NPT ensemble, while coupling protein, ATP, ions and water separately. A constant temperature of 300 K was maintained by coupling the v-rescale thermostat at 0.1 ps. Berendsen thermostat was used to maintain the pressure of the bath at 1 bar with a 1 ps coupling constant. The electrostatic interactions were evaluated using the Particle Mesh Ewald method [46]. A 2-fs integration time step was used for the production run of each simulation. Two independent trajectories of 50 ns each were then performed upon the equilibrated systems using leap-frog algorithm.
GROMACS tools were used to calculate the RMSD of Cα atoms, RMSD of ATP nucleotide and the resultant RMSF of Cα atoms on the two MD trajectories of 50 ns each for both the wild-type and the acK151 mutant of JNK. UCSF Chimera software tool was used for visualization and calculation of distances between the atoms.
List of primers for site-directed mutations in JNK1, SIRT2 and oligonucleotide sequences for stable knockdown generation
Jnk1 K30Q: For 5′gagcctataggctgtaaattctgatatcg3′, Rev 5′cgatatcagaatttacagcctataggctc3′; Jnk1 K153Q: For 5′ctgggctgtaagtcccgatgaataattcc3′, Rev5′ggaattattcatcgggacttacagcccag3′; Jnk1 K160Q: For 5′gcaatcagactgtactactatattactggg3′, Rev 5′cccagtaatatagtagtacagtctgattgc3′; Jnk1 K166Q: For 5′catctacagagatcctctgagatgcatctattaccagcattttggataac3′, Rev5-gtaaaatctgattgcactttgcagattcttgacttcggtctgg3′; Jnk1 K265Q: For 5′gctatatccagcatactgaggtctgttttc3′, Rev 5′gaaaacagacctcagtatgctggatatagc3′; Jnk1 K308Q: For 5′ccagaccgaagtcaagaatctgcaaagtgcaatcagattttac3′, Rev 5′gttatccaaaatgctggtaatagatgcatctcagaggatctctgtagatg3′; Jnk1K30R: For 5′ctgagcctataggtcttaaattctgatatcgtttcaggactg3′, Rev 5′ cagtcctgaaacgatatcagaatttaagacctataggctcag3′; Jnk1K153R: For 5′ctatattactgggccttaagtcccgatgaataattccagca3′, Rev 5′tgctggaattattcatcgggacttaaggcccagtaatatag3′; Jnk1K160R: For 5′gaatcttcaaagtgcaatcagatcttactactatattactgggctttaa3′, Rev 5′ttaaagcccagtaatatagtagtaagatctgattgcactttgaagattc3′; Jnk1 K166R: For 5′tctacagagatccttctagatgcatctattaccagcattttgga3′, Rev 5′aaaatctgattgcactttgaggattcttgacttcggtctgg3′; Jnk1K265R: For 5′ctcaaagctatatccagcatatctaggtctgttttcaacgtaagt3′, Rev 5′acttacgttgaaaacagacctagatatgctggatatagctttgag3′; Jnk1 K308R: For 5′tccaaaatgctggtaatagatgcatctagaaggatctctgtaga3′, Rev 5′ccagaccgaagtcaagaatcctcaaagtgcaatcagatttt3′; Sirt2 N168A: For 5′ctccagggtatctatggcctgcgtgtagcagcgc3′, Rev 5′gcgctgctacacgcaggccatagataccctggag3′; Sirt2 H187Y: For 5′atgtgtagaaggtgccatacgcctccaccaagtcc3′, Rev 5′ggacttggtggaggcgtatggcaccttctacacat3′. JNK shRNA1—5′tctggtatgatccttctgaa3′, JNK shRNA2—5′caagggatttgttatccaaa3′, JNK shRNA3—5′actcagaacacaacaaactt3′, SIRT2 shRNA1—5′ gaggccatctttgagatca 3′, SIRT2 shRNA2—5′ atgacaacctagagaagta 3′, Scrambled—5′ ggtggaaagactgaaatatgt 3′.
List of real-time quantitative PCR (qPCR) primers
Mkk4: For 5′agtggacagcttgtggactct3′, Rev 5′aactccagacatcagagcgga3′; Mkk7: For 5′tccagatcccaccaagcctgactatg3′, Rev 5′aatgactggaagtcccctgagaagcc3′; MAP3K4: For 5′ ctaagtcctatgataacgtcatgc3′, Rev 5′tgaaatcgaatctccttcatgg3′; MAP3K10: For 5′ctggtgatggaatatatgctcg3′, Rev 5′ccaggattaggatgttgatgg3′; MAP3K11: For 5′cccttcaactctgaatctaatcc3′, Rev 5′cgaagtggatctacttgaagc3′; MAP3K7: For 5′actcacttgatgcggt3′, Rev 5′cggcgatcctagcttc3′, JNK1: For 5′ccagtcaggcaagggattt3′, Rev 5′cgatgatgatgatggatgctgagag3′; JNK2: For 5′acaccatccgcagagttcat3′, Rev 5′caaggcttcgtccacagaga3′; JNK3: For 5′aaccagttcctacagtgtggaagtg3′, Rev 5′ctgaatcacttgacataagttggc3′; CBP: For 5′agttcccgtcatccagcg3′, Rev 5′aggccccagcatgttgag3′; GCN5: For 5′ ttccgagtggagaaggaca3′, Rev 5′ agcatggacaggaatttgg3′; TIP60: For 5′agcgtcatttgaccaagtgt3′, Rev 5′ agttcatagctgaactcgat3′.
RNA extraction and real-time qPCR reaction
Protocols for RNA extraction and real-time qPCR reaction was described in our recent works [29, 47]. RNA was extracted using TRIZOL reagent (Thermo Fisher) and further processed to synthesize first strand of cDNA according to the manufacturer’s protocol. The qPCR reaction was set up in Bio-Rad CFX 384 instrument with the following loop—[95 °C (10 s), 60 °C (40 s), 72 °C (25 s)] × 40. The experiment was done in three replicates and the data were normalized using actin as housekeeping gene.
Immunoblotting and immunoprecipitation
Protocols for immunoblotting and immunoprecipitation are described in our previous works [29, 48]. Transfected cells were harvested after washing with ice-cold phosphate-buffered saline (PBS) and lysed in an ice-cold lysis buffer (20 mM Tris-Cl, 150 mM NaCl, 1% Triton X-100, 1 mM EDTA, 1 mM EGTA, 2.5 mM sodium pyrophosphate, 1 mM Na3VO4, protease inhibitor cocktail (Roche)). Bradford reagent (BIO-RAD # 500-006) was used to perform protein quantification. Equal amount of protein from cell lysate was mixed with Laemmli Buffer (2×, BioRad) in a 1:1 ratio, boiled for 5 min and resolved by sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE) followed by overnight transfer to a polyvinylidene difluoride (PVDF) membrane (GE, #10600023) at 25 V. For immunoprecipitation, 500 μg of protein from cell lysate was incubated with the appropriate antibody overnight. The immune complexes were collected using Protein A/G-agarose beads (Sigma, USA). The immunoprecipitated protein was resolved by SDS-PAGE and transferred to a PVDF membrane (GE, #10600023). The membranes were blocked with a solution of 5% non-fat dried milk in TBST buffer (25 mM Tris-HCl, pH 7.5, 150 mM NaCl, 0.05% Tween 20). For detection of respective proteins, blots were incubated with primary antibody (Santa Cruz Biotechnology, Cell Signaling or Millipore; 1:1000) at 4 °C overnight. Non-specifically bound primary antibody was removed by washing three times with TBST buffer followed by peroxidase-conjugated secondary antibody (Santa Cruz, 1:10,000) incubation at room temperature for 1 h. Non-specifically bound secondary antibody was removed by washing the blot three times with TBST buffer. Signals were detected using chemiluminescence substrate solution (Thermo fisher # 34080) and analysed by a GE LAS4000 luminescent image analyser .
Protein purification
GST-JNK1 expression plasmid was transformed into competent Escherichia coli BL21 (DE3) cells. Single colony was inoculated in LB medium at 37 °C in orbital shaker incubator till mid log phase. IPTG (50 µM) was added to the culture and incubated at 18 °C for 18 h. Following incubation, the culture was centrifuged at 2300 × g for 10 min at 4 °C, and the resulting pellet was resuspended in binding buffer (50 mM Tris-Cl, pH 8.0, 150 mM NaCl, 1 mM PMSF (Sigma)). Cells were lysed by sonication and centrifuged at 12,000 × g for 30 min at 4 °C. After centrifugation, supernatant was collected and incubated with Ni-NTA agarose beads and kept for agitation for overnight at 4 °C. After overnight binding, beads were washed with wash buffer (150 mM NaCl, 50 mM Tris-Cl, pH 7.5, 1% Triton X 100) and bead-bound protein was eluted and stored in 30% glycerol containing buffer.
In vitro JNK1 acetylation assay
Protocols for in vitro acetylation assays are described in our previous works [29, 48]. Recombinant JNK protein was expressed in E. coli BL21 (DE3) and purified by affinity chromatography. Purified JNK protein was incubated with p300 acetyltransferase (Millipore # 2273152) and PCAF (Millipore # 14-309) for 2 h. GST-JNK bound beads were washed three times with HAT buffer (50 mM Tris-Cl, pH 8.0, 1 mM EDTA, 10 mM Na-butyrate, 5 mM DTT, 10 mM NaCl and 10% glycerol). Beads bound to JNK were incubated with 1 µg of acetyltransferase (p300 or PCAF) in 50 µl of HAT buffer supplemented with 100 µM acetyl CoA. Samples were incubated at 30 °C for 2 h. Beads were washed 3 times with TBS and protein was eluted by adding 50 µl of sample buffer (125 mM Tris-Cl, pH 6.8, with 4% SDS, 20% (v/v) glycerol and 0.004% bromophenol blue). Samples were heated for 5 min at 95 °C followed by centrifugation at 13,400 × g, 30 s and supernatant were subjected to SDS-PAGE. JNK acetylation was detected with pan anti-acetyl Lysine antibody (Cell Signaling #9681).
In vitro JNK1 deacetylation and activity assay
Protocols for deacetylation assays are described in our previous works [29, 48]. Cells at ~70% confluence were transfected with Flag-Sirt2 expression plasmid. Twenty four hours after transfection, the cells were harvested after washing with ice-cold PBS and lysed in an ice-cold lysis buffer [50 mM Tris-Cl, pH 7.4, 150 mM NaCl, 1 mM EDTA, 1% Triton X-100 and protease inhibitor cocktail (Sigma Aldrich)] followed by vortexing for 15 s at 5 min interval for 30 min and centrifuged at 13,400 × g, 10 min, 4°C. After centrifugation, supernatant was collected, and 500 µg of total protein was incubated with 50 µl agarose beads conjugated to Anti-Flag antibody (Sigma A2220) and kept for agitation for 2 h at 4 °C. Beads were centrifuged for 30 s, 100 × g, 4°C and washed with 0.5 ml of TBS (25 mM Tris-HCl, pH 7.5, 150 mM NaCl) 3 times and used for in vitro deacetylation assay. On the other hand, Flag-JNK1 expression plasmid was transfected into cells. Twenty four hours after transfection, 500 µg of total protein was incubated with 50 µl agarose beads bound anti-Flag antibody (Sigma A2220) and kept for agitation for 2 h at 4 °C. Beads were centrifuged for 30 s, 100 × g, 4 °C and washed with 0.5 ml of TBS 3 times and beads bound to JNK1 protein were incubated with previously isolated SIRT2 protein in deacetylation buffer (250 mM Tris-Cl, pH 9.0, 20 mM MgCl2, 250 mM NaCl, 2.5 mM DTT, 5 mM NAD+, 2.5 μM TSA) for 2 h at 30°C. Following deacetylation, flag-JNK1 was washed 3 times with kinase buffer (25 mM Tris-Cl, pH 7.5, 10 mM MgCl2, 5 mM β-glycerophosphate, 0.1 mM Na3VO4, 2 mM DTT) and incubated with 200 µM ATP and 250 µg/ml c-Jun fusion protein in kinase buffer (total volume 50 µl) for 30 min at 30 °C, and reaction was terminated by adding 2×Laemmli Sample Buffer (Bio-Rad). Western blotting was performed, and the level of c-Jun phosphorylation was detected by primary antibody against phospho c-Jun.
ATP-binding assay
Filter binding assay for ATP binding to JNK and mutated JNK at position K153Q and K153R was performed by incubating with [γ 32P] ATP (2 µCi) at 30 °C for 10 min in (20 mM HEPES pH 7.5, 50 mM NaCl, 10 mM MgCl2, 2 mM CaCl2, 200 µM ATP) in a final volume of 20 µL. After 30 min, the entire reaction was loaded on nitrocellulose paper (Sigma) and the membrane was dried. This was followed by three washes using the same binding buffer to remove unbound ATP. Dry nitrocellulose filters were put into scintillation vials, and the radioactivity was measured using a scintillation counter (Beckman).
Luciferase reporter assay
The cells were transfected with plasmid harbouring activating protein-1 (AP-1) luciferase reporter element using Lipofectamine 2000 (Invitrogen), and standard protocol was followed to perform the assay. A luminometer was used to measure the luminescence (Pharmingen Moonlight 3010; BD Biosciences, San Jose, CA, USA).
Confocal microscopy
Confocal microscopy was performed as described previously [49, 50]. Cells were washed with 1× PBS and fixed using 4% paraformaldehyde in PBS for 10 min at room temperature. After fixing the cells, samples were incubated for 10 min with PBS containing 0.25% Triton X-100. Samples were blocked with 1% bovine serum albumin (BSA) prepared in PBST (PBS with 1% Tween 20) containing glycine (22.52 mg/ml) for 30 min. Following blocking, samples were incubated with primary antibody overnight at 4 °C. Primary antibody was removed by washing 3 times for 5 min each with PBS. Cells were incubated with secondary antibody in 1% BSA for 1 h at room temperature in the dark. Secondary antibody was discarded, and cells were washed 3 times with PBS for 5 min each. Coverslip was mounted using Molecular Probes mounting medium (P36935), and images was taken at 40× or 63× magnification using Zeiss LSM 880 Airyscan Confocal Microscope.
Live/dead cell assay
Cells were plated in duplicates in 60 mm dish and were treated with either vehicle or H202 for 12 h at 80% confluency. Following this, cells were stained with Live/dead cell assay reagent in PBS for 30 min at room temperature according to the manufacturer’s protocol (Live/Dead Kit for Mammalian Cells, #L3224, Thermo Scientific). Live cells stained green (Calcein-AM), whereas dead cells stained red (Ethidium homodimer-1). Cells were visualized by Olympus 1×2-UCB fluorescence microscope. In all experiments, 400–500 cells per group was counted for quantification.
MTT (3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide) assay
Cells were plated on 24-well plate. In all experiments, 20 µl of MTT (5 mg/ml) reagent was added and incubated for 2–4 h. Media was discarded and 110 µl of dimethyl sulphoxide was added and mixed twice. In all experiments, 100 µl from each well was transferred to 96-well plate. Reading was taken at 570 nm using VERSA max microplate reader, Molecular Devices.
Statistical analysis
All experiments were at least done in independent triplicates. Data were analysed using statistics module in MS Excel 2013 or Graph Pad Prism version 6.04. Data in bar graphs are represented in the form of mean ± standard deviation. Densitometric analysis for immunoblots were performed and analysed using the ImageJ software. The fold change was presented as absolute number in the respective figures.
Electronic supplementary material
Acknowledgements
We thank Meisam Bagheri and Prof. Deepak K. Saini for helping in liver function tests. Adenovirus vectors synthesizing shRNA against p300 and luciferase were kindly provided by Prof. B. Thimmapaya, Northwestern University, Chicago, USA. We thank Venkataraman Ravi, Danish Khan, Anwit S. Pandit, Aditi Jain and Shweta Kumar for technical support and for critical inputs for the manuscript.
Author contributions
All the experiments, except MS/MS analysis, listed in the manuscript were performed at the Indian Institute of Science, Bengaluru, India. MS performed most of the experiments. SM performed confocal microscopy and wrote the first draft of the manuscript. CK and MS performed molecular modelling and molecular dynamic simulations. PAS performed histological analysis. DW and MPG performed mass spectrometric analysis. NRS conceived the study, designed experiments, coordinated with investigators and wrote the final version of the manuscript.
Funding
NRS is the recipient of Ramalingaswami Re-entry Fellowship and the Innovative Young Biotechnologist Award (IYBA) from the Department of Biotechnology, Government of India. PAS is an Inspire-Faculty fellow. NRS's laboratory is supported by research funding from Department of Science and Technology (EMR/2014/000065), the Department of Biotechnology (BRB/10/1294/2014 and MED/30/1454/2014), the Council for Scientific and Industrial Research (37(1646)/15/EMR-II) and the Department of Biotechnology–Indian Institute of Science partnership program for advanced research.
Compilance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
Electronic supplementary material
The online version of this article (10.1038/s41418-018-0069-8) contains supplementary material, which is available to authorized users.
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