Abstract
Renal tubular epithelial cells (RTECs) perform the essential function of maintaining the constancy of body fluid composition and volume. Toxic, inflammatory, or hypoxic-insults to RTECs can cause systemic fluid imbalance, electrolyte abnormalities and metabolic waste accumulation- manifesting as acute kidney injury (AKI), a common disorder associated with adverse long-term sequelae and high mortality. Here we report the results of a kinome-wide RNAi screen for cellular pathways involved in AKI-associated RTEC-dysfunction and cell death. Our screen and validation studies reveal an essential role of Cdkl5-kinase in RTEC cell death. In mouse models, genetic or pharmacological Cdkl5 inhibition mitigates nephrotoxic and ischemia-associated AKI. We propose that Cdkl5 is a stress-responsive kinase that promotes renal injury in part through phosphorylation-dependent suppression of pro-survival transcription regulator Sox9. These findings reveal a surprising non-neuronal function of Cdkl5, identify a pathogenic Cdkl5-Sox9 axis in epithelial cell-death, and support CDKL5 antagonism as a therapeutic approach for AKI.
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Introduction
The ability of vertebrates to maintain a stable, relatively constant “internal milieu” is inextricably linked to the function of the kidneys1. Through a continuous filtration–reabsorption process, kidneys regulate the fluid and molecular composition of blood. Within the kidneys, the renal tubular epithelial cells (RTECs) carry out the enormous task of selective reabsorption of water, ions, and essential nutrients, as well as excretion of metabolic waste, thereby converting the glomerular filtrate into a concentrated urine whose composition is constantly fine-tuned to maintain organismal homeostasis. RTEC dysfunction can thus lead to systemic electrolyte and fluid imbalances along with accumulation of metabolic and toxic waste triggering deleterious systemic effects and multi-organ failure.
Numerous clinical conditions such as sepsis, cardiac surgery, drug toxicities, cancer therapy, and rhabdomyolysis are associated with inflammatory, toxic, and hypoxic insults to RTECs2,3,4,5,6. The resulting RTEC dysfunction and cell death7 are the hallmarks and the underlying cause of acute kidney injury (AKI), a common disorder that predominantly develops in hospitalized patients8. Due to the lack of treatment options, annually an estimated 2 million people worldwide die of AKI9. Importantly, the patients that recover from an AKI episode are at increased risk of developing chronic kidney disease, end-stage renal disease, and cardiovascular dysfunction—disorders associated with significant morbidity and mortality10,11. Over the past decade, it has become apparent that the pathophysiology of AKI is exceedingly complex12. Multiple molecular and cellular pathways are involved in RTEC dysfunction and cell death7. Vascular and immune cells also contribute to renal impairment13,14,15. Recent advancements in our understanding of the pathophysiological basis of AKI have however not yet resulted in clinical benefits, in part, due to the non-druggable nature of several identified molecular targets and associated pathways. One possible way to transcend these difficulties is to utilize unbiased functional genomic screening to systematically uncover the role of “druggable genes” in AKI.
Of the estimated ~20,000 protein-coding genes in the human genome, ~10% encode proteins that can currently be targeted by small-molecule drugs, a group defined as “druggable genome”16. Protein kinases17 are one of the largest family in the “druggable genome”, along with G-coupled protein receptors. Due to the potential widespread role of kinases in disease pathogenesis, as well as suitable pharmacological properties and clinical safety profile of kinase inhibitors, protein kinases have emerged as attractive therapeutic targets18,19. Nevertheless, the underlying biology of the majority of kinases remains yet to be fully elucidated. Moreover, the role of protein kinases in the pathogenesis of non-oncological diseases, especially AKI, remains underexplored.
Here, we have used a kinome-wide screening approach to identify kinases that contribute to RTEC cell death in order to reveal therapeutic targets for AKI. Initial in vitro RNAi-based screening and subsequent in vivo validation experiments identified cyclin-dependent kinase-like 5 (Cdkl5) also known as serine/threonine kinase 9 (Stk9)20 as a key regulator of renal cell death and injury. CDKL5 has mostly been studied for its role in human neuronal development since mutations in this X-linked gene are associated with neurodevelopmental disorders including early onset seizures21,22. Surprisingly, we have uncovered a previously unrecognized function of Cdkl5 as a crucial regulator of renal injury and identified the transcription factor Sox9 as one of its crucial downstream target.
Results
Identification of kinases involved in RTEC cell death
We performed a kinome-wide small-interfering RNA (siRNA) screen in BUMPT cells in order to identify protein kinases that regulate renal epithelial-cell death. High transient transfection efficiency (~95%) of this murine RTEC cell line makes it a suitable model for high-throughput (siRNA) screening assays. For the primary screen, BUMPT cells were transfected with either control siRNAs (non-targeting, Pkcδ and Plk1) or siRNAs targeting protein kinases, phosphatases, and related targets (780 genes, Dharmacon), followed by induction of cell death by treatment with cisplatin and assessment of cellular viability by cell-titer glo assay (Fig. 1a). Cisplatin-induced cell death in BUMPT cells partially mimics conditions observed during cisplatin-associated AKI23. The in vitro screening assay involved the treatment of BUMPT cells with 15 µM cisplatin, which reduced the cell viability by ~75% in 48 h in the untransfected and control siRNA- (non-targeting) transfected cells (Supplementary Fig. 1a, b). Cisplatin-induced cell death was partially ameliorated by protein kinase c δ (Pkcδ) knockdown (positive control), which is an established24 pro-apoptotic gene and significantly increased by polo-like kinase 1 (Plk1) knockdown (negative control).
The primary screen was carried out in triplicate, and subsequent data analysis (Fig. 1b, c) yielded seven hit candidates (Supplementary Table 1) that mitigated cell death to an extent that was significantly (p < 0.05, one-way ANOVA followed by Dunnett’s test) greater than the positive control (Pkcδ siRNA). For stringent validation of these identified hits, we performed confirmatory experiments by employing distinct siRNAs/shRNAs, cell lines, and assay systems. In the secondary screening, we utilized dissimilar siRNAs from a different source (Sigma) and used different cell viability and cell-death assays (MTT, Trypan Blue, and Caspase assay). Secondary screening in BUMPT cells (Fig. 1d and Supplementary Fig. 1c, d) validated three out of seven hits obtained in the primary screen. Similar studies in HK-2 (human kidney-2) cells, a human RTEC cell line showed that CDKL5 knockdown significantly reduced cisplatin-induced cell death (Fig. 1e and Supplementary Fig. 1e, f). Cdkl5 was the top hit in both the primary and secondary screens and hence we selected it for further confirmation.
The CDKL family (CDKL1–5) comprises five members that share structural similarities with CDKs as well as mitogen-activated protein kinases (MAPKs); however, their biological functions and linked signal transduction pathways remain obscure25,26. CDKL5 is highly expressed in the brain and CDKL5 loss-of-function mutations are associated with neurodevelopmental disorders in humans, although the underlying mechanisms are incompletely understood27. It also remains unknown if CDKL5 kinase controls any biological processes in nonneuronal tissues, such as testes and kidneys, where it is known to be expressed20,28.
Mechanisms underlying CDKL5 activation also remain unclear. However, similar to MAPKs, CDKL5 contains the TEY sequence within its activation loop (Fig. 1f). The TEY motif in the extracellular signal-regulated kinases (ERKs) undergoes dual phosphorylation resulting in kinase activation. This mechanism of activation is in most cases initiated by other upstream kinases or in some cases via autophosphorylation as has been proposed for ERK7 and CDKL529. To confirm the role of Cdkl5 kinase in RTEC cell death, we carried out tertiary screening where we silenced Cdkl5 expression in BUMPT cells using a shRNA targeting the 3′ UTR (untranslated region) of Cdkl5 gene and carried out “add-back” experiments by overexpressing shRNA-resistant Cdkl5 constructs, including wild-type, kinase-dead, and TEY mutants (Fig. 1g, h and Supplementary Fig. 1g, h). We found that shRNA-mediated Cdkl5 knockdown reduces cisplatin-induced cell death, and importantly this phenotype was reversed by wild-type but not kinase-dead or TEY-mutant Cdkl5 overexpression. Of note, overexpression of WT Cdkl5 in the control cells did not influence RTEC cell death. This may be due to limiting upstream activation signals, since unlike the wild-type Cdkl5, overexpression of catalytically active Cdkl5 (lacking the regulatory domain) increases cisplatin-associated RTEC cell death (Supplementary Fig. 1i–k). Collectively, our siRNA screening and validation studies identified Cdkl5 kinase (Fig. 1h) as a crucial, previously unknown regulator of renal epithelial-cell death.
Cdkl5-kinase activity increases in RTECs during AKI
While we used a cisplatin-based in vitro screening method to identify putative regulators of RTEC cell death and dysfunction, our overall goal was to identify and validate targets that contribute to the pathogenesis of AKI associated with multiple etiologies. Hence, confirmatory in vivo studies were carried out in two distinct and widely used models of AKI, namely, ischemia–reperfusion injury and cisplatin-associated AKI30. In these mouse models, the onset of AKI was determined by three diverse indicators of renal structure and function: accumulation of nitrogenous waste (blood urea nitrogen and serum creatinine), biomarkers (kidney injury molecule-1 [Kim1]31 and neutrophil gelatinase-associated lipocalin [Ngal]32), and histological analysis (H&E staining and renal damage score) (Fig. 2a–g). In the ischemic injury model, AKI onset occurs 24-h post surgery, while in the cisplatin-associated renal injury model, renal impairment is seen 72-h post injection. We found that Cdkl5 protein levels showed significant variations, but overall, we observed marginal increase during the early phases of AKI, followed by reduction at later timepoints (Fig. 2h). To examine the Cdkl5 phosphorylation status in the activation loop, we generated a phospho-threonine-169 antibody that recognizes phosphorylated threonine within the TEY motif (Supplementary Fig. 2). Western blot analysis showed that Cdkl5 phosphorylation increased during AKI (Fig. 2h). Subsequently, kinase assays showed increased Cdkl5 activity in renal tissues during the early stages of AKI (Fig. 2i–k).
We next investigated whether the increased Cdkl5 activity is localized in the RTECs—the major cell type that is impacted during AKI7. In order to label and isolate RTECs from murine kidneys, we crossed the ROSAmT/mG strain with the renal tubular epithelial-cell-specific Ggt1-Cre (gamma-glutamyltransferase-1) mice to generate transgenic mice that express membrane-localized green fluorescent protein (GFP) in the tubular epithelial cells (Fig. 2i and Supplementary Fig. 3). We then isolated GFP-positive cells from the kidneys of untreated and cisplatin-treated mice (Fig. 2m), followed by examination of Cdkl5 kinase activity (Fig. 2n). These studies confirmed that Cdkl5 activity increases in RTECs (GFP-positive cells) early during the development of AKI. Furthermore, increased Cdkl5-kinase activity was also observed in murine models of rhabdomyolysis and folic acid (FA)-associated AKI, as well as in a previously described33 porcine model of ischemic AKI (Supplementary Fig. 4a–g). In support of the in vivo studies, increased Cdkl5 activity was also observed in primary RTECs under multiple stress conditions, including cisplatin, hydrogen peroxide, hypoxia, and hemin treatments (Supplementary Fig. 4h, i). Under these conditions, increased Cdkl5 activity seemed to be independent of the cell-cycle phase. In summary, these results show that irrespective of the nature of the initial injury, an increase in Cdkl5 kinase activity is a common phenomenon during AKI, signifying a potential functional role in disease pathogenesis.
Cdkl5 gene ablation in epithelial cells mitigates AKI
We next sought to examine the consequence of Cdkl5 gene deletion on the severity of AKI. Germline Cdkl5-knockout mice are viable27, although they exhibit certain nonlethal neuronal phenotypes. We found that Cdkl5-knockout mice do not have any overt renal abnormalities under normal conditions (Supplementary Fig. 5a, b), which gave us the opportunity to examine the effect of Cdkl5 deficiency on the severity of AKI. We found that as compared with wild-type littermates, Cdkl5−/y mice showed protection from ischemia-associated AKI as revealed by multiple indicators: BUN, creatinine, Kim1 expression, and histological analysis (Supplementary Fig. 6a–e). Likewise, Cdkl5−/y mice displayed resistance to cisplatin-associated AKI (Supplementary Fig. 6f–i).
To probe the RTEC-specific role of Cdkl5 in the pathogenesis of AKI, we generated Cdkl5 conditional knockout mice (Cdkl5PT−/y) by crossing the Cdkl5-floxed mice with the Ggt1-Cre mice. In Ggt1-Cre mice, Cre recombinase is expressed in RTECs 7–10 days after birth, such that Cre expression most likely occurs after the completion of renal development34. We found that normal renal function (Supplementary Fig. 5c, d) is unaffected by Cdkl5 deficiency (Fig. 3a). Importantly, Cdkl5 gene ablation in RTECs provided significant protection from ischemia-associated (Fig. 3b–e) and cisplatin-mediated (Fig. 3f–i) AKI. To investigate the effect of Cdkl5 deficiency on renal cell death and to exclude the possibility of nonspecific compensatory changes, we cultured primary RTECs from the Cdkl5-floxed mice and carried out Cdkl5 deletion under in vitro conditions using lentivirus-mediated Cre expression (Fig. 3j, k). We found that Cdkl5 deletion provides significant protection from cisplatin-mediated cell death. Collectively, these studies suggested that Cdkl5 kinase plays a pathogenic role during the development of AKI.
Cdkl5 phosphorylates Sox9 during AKI
We next pursued the Cdkl5-dependent mechanisms that contribute to renal dysfunction. CDKL5 regulates several neuronal functions; however, the downstream signaling pathways remain incompletely understood. Previous reports have described functional interactions of CDKL5 with other proteins with important neuronal functions25,35,36,37,38,39. Whether these interactions are relevant in renal epithelial cells is however unclear. Therefore, in an attempt to understand the mechanistic basis of Cdkl5-dependent renal injury, we sought to identify Cdkl5-interacting proteins. To this end, we immunoprecipitated (IP) endogenous Cdkl5 from ischemic renal tissues and found that an ~65-kDa protein was associated with Cdkl5. Mass spectrometric analysis identified this protein as the transcription factor Sox9 (sex-determining region Y (SRY) box 9) (Fig. 4a). Sox9 is a member of Sox family, which are a group of transcription factors that have essential roles in cell-fate determination during embryonic development and adult tissue homeostasis40. Interestingly, Sox9 is also known to suppress cell death during development, adult tissue homeostasis, and oncogenesis41,42.
We confirmed that Cdkl5 interacts with Sox9, by Cdkl5-IP and reverse IP (Sox9-IP) experiments (Supplementary Fig. 7). Notably, Sox9 protein is expressed at low amounts in control kidneys, and its expression is induced during AKI (input blots, Supplementary Fig. 7). Given the physical association between Cdkl5 and Sox9 in renal tissues, we considered if Sox9 is a previously unknown Cdkl5 substrate. Based on sequence analysis and global phospho-proteomics data43, we identified five putative phosphorylation sites in the Sox9 protein. We then tested the ability of purified Cdkl5 to phosphorylate wild-type and Ser-to-Ala Sox9 mutants. We found that Cdkl5 could phosphorylate wild-type Sox9 (Fig. 4b). Importantly, Ser-199 was found to be the major site of phosphorylation since Ser-to-Ala mutation at this site significantly abolished Cdkl5-mediated Sox9 phosphorylation (Fig. 4b). The Ser-199 site is evolutionarily conserved (Fig. 4c); however, the functional consequence of phosphorylation at this site has not been previously studied.
To ascertain the functional consequence of Cdkl5-mediated Sox9 phosphorylation, we investigated the potential effect of phosphorylation at Ser-199 site on Sox9 localization and stability. We generated S199A (non-phosphorylatable) and S199D (phospho-mimetic) Sox9 mutants and then examined their localization and stability in BUMPT cells. Sox9 subcellular localization was predominantly nuclear and was unaffected by S199A or S199D mutation (Supplementary Fig. 8a). Interestingly, cycloheximide (CHX) pulse-chase experiments showed that S199A mutant was more stable than the wild-type Sox9, while the phospho-mimetic S199D mutant had significantly reduced stability (Supplementary Fig. 8b, c). Based on these studies, we hypothesized that Cdkl5-dependent phosphorylation at Ser-199 suppresses Sox9 function during AKI.
To test our hypothesis and observe Sox9 phosphorylation in vivo, we generated an anti-phospho-Ser-199-specific antibody (Supplementary Fig. 9), and then examined the levels of total and phosphorylated Sox9 in renal tissues. In the wild-type mice, total Sox9 protein levels were low in control kidneys; however, its expression increased during both ischemia–reperfusion and cisplatin-associated AKI (Fig. 4d–f). Intriguingly, AKI-induced increase in the Sox9 protein expression had strikingly different dynamics in the Cdkl5PT−/y mice. First, as compared with wild-type mice, AKI-associated Sox9 induction occurred at a much earlier timepoint in the Cdkl5PT−/y mice, and second, the magnitude of Sox9 induction was higher in the Cdkl5PT−/y mice. Interestingly, phospho-Ser-199–Sox9 levels also increased during AKI in the wild-type mice; however, Sox9 phosphorylation in the Cdkl5PT−/y kidneys was pointedly suppressed (Fig. 4e, g). We also examined total and phosphorylated Cdkl5 protein levels in these tissues (Supplementary Fig. 10). Importantly, the levels of Sox9 mRNA induction during AKI were not significantly different in the wild-type and Cdkl5PT−/y mice (Supplementary Fig. 11). Based on these findings, we postulated that Cdkl5 activation might contribute to AKI, in part through phosphorylation-dependent regulation of Sox9 function.
Sox9 plays a protective role during AKI
In the murine kidneys, Sox9 facilitates recovery of renal function after the onset of AKI44,45. After the initial injury phase, Sox9-expressing RTECs contribute to regeneration and recovery; however, the role of Sox9 in the initial injury phase remains unclear. To study the role of Sox9 in the early acute phase of AKI, we generated RTEC-specific Sox9-deficient (Sox9PT−/−) mice (Fig. 5a), which had normal renal function under baseline conditions (Supplementary Fig. 5e, f). Importantly, Sox9 deficiency markedly increased renal damage in both the ischemia (Fig. 5b–e) and cisplatin-associated (Fig. 5f–i) AKI. Primary RTECs with Sox9 gene ablation were also sensitive to cisplatin-mediated cell death (Fig. 5j, k). Interestingly, unlike the normal untreated kidneys (which have very low Sox9 expression), the primary RTECs expressed clearly detectable levels of Sox9 and were used for further studies. We carried out “add-back” experiments in the Sox9−/− primary RTECs and found that S199A mutation provided significantly higher protection than the WT Sox9, while S199D mutant had minimal effects, which could be partly due to reduced S199D stability during cisplatin treatment (Supplementary Fig. 12). These results suggest that Sox9 plays a protective role during the early phase of AKI, and Cdkl5-mediated phosphorylation at S199 site likely reduces its functional activity.
To elucidate the underlying mechanisms, we next carried out chromatin immunoprecipitation (ChIP)-based analysis of Sox9 target genes in normal and injured kidneys (Supplementary Fig. 13a). Targets were selected based on ChIP-seq analysis in a previous study46 and included genes known to be differentially regulated during AKI47. Our results show that during ischemic injury, Sox9 binds to the promoter region (±2 kb of transcription start sites) of several genes (Wwp2, Ap2β, Pi3kca, Myof, sema3e, and Gadd45a). For Wwp2, myof, Sema3e, and Gadd45a, these findings were confirmed in three distinct models of AKI (Supplementary Fig. 13b–e). For further confirmation, gene expression analysis was carried out, which showed that as compared with the littermate controls, renal tissues of Sox9PT−/− mice have diminished mRNA expression of Wwp2, Myof, and Sema3e, while Gadd45a expression is elevated (Supplementary Fig. 14). In the Cdkl5PT−/y mice, which had elevated levels of Sox9 protein during AKI, the mRNA levels of Sox9-dependent pro-survival genes (Wwp2, Myof, and Sema3e) were significantly increased, while Gadd45a gene expression was reduced (Supplementary Fig. 15). Luciferase-based reporter assays confirmed Sox9 binding within the promoter regions of Wwp2, Myof, and Sema3e genes (Supplementary Fig. 16). Finally, functional studies show that Wwp2, Myof, and Sema3e knockdown sensitizes RTECs to injury, while Gadd45a knockdown provides protection from cell death (Supplementary Fig. 17). Thus, by increasing the expression of pro-survival genes like Wwp2, myof, and sema3e, Sox9 likely promotes cellular survival during AKI. These genes are known to regulate phosphoinositide 3-kinase (PI3K)—phosphatase and tensin homolog (PTEN) signaling (Wwp2)48, membrane and mitochondrial functions (Myoferlin)49,50, and cell death (Sema3e)51 in nonrenal epithelial cells. Whether these genes regulate RTEC dysfunction and cell death in vivo through similar mechanisms remains unknown. Notably, along with Wwp2, Myof, and Sema3e, Sox9-dependent renal protective transcriptional program likely involves multiple target genes that would require further exploration. However, our results support the notion that by suppressing Sox9 function, Cdkl5 subdues and delays a Sox9-dependent protective transcriptional program, contributing to epithelial-cell death and AKI.
Targeted Cdkl5 inhibition mitigates renal injury in vivo
Genetic Cdkl5 ablation alleviated renal injury, raising the prospect that a targeted Cdkl5-kinase inhibitor might prevent or reduce renal injury. While CDKL5-specific inhibitors have not been specifically pursued, several known protein kinase inhibitors have been tested for their ability to inhibit CDKL5 in global kinome-wide assays52. Based on these studies, we compiled a panel of small molecules with demonstrated CDKL5 inhibition activity. We then tested these compounds for their ability to inhibit Cdkl5 function using in vitro kinase assays (Fig. 6a). Among these inhibitors, AST-487 was found to be the most potent Cdkl5 inhibitor (EC50 = 87 nM). AST-487 also inhibited Cdkl5 activity in BUMPT cells and provided protection from cisplatin-induced cell death (Supplementary Fig. 18a–d). While AST-487 potently inhibited Cdkl5 activity, similar to most kinase inhibitors, AST-487 likely inhibits multiple kinases including RET kinase53. To examine the role of Cdkl5 inhibition in the renal protective effect of AST-487, we thus utilized a chemical genomics approach54,55. To this end, we generated a Cdkl5 construct with a gatekeeper mutation (F89A), which confers resistance to AST-487-mediated kinase inhibition (Supplementary Fig. 18e). Importantly, overexpression of Cdkl5-gate-keeper mutant abrogated AST-487-mediated protection from cisplatin-induced cell death (Supplementary Fig. 18f–h). Since an AST-487-resistant Cdkl5 mutant is able to reverse the cytoprotective effects of AST-487, these studies provide compelling evidence that AST-487-mediated Cdkl5 inhibition is at least partly responsible for its renal protective effects.
To ascertain the potential efficacy of AST-487 in vivo, we performed pilot assessment studies. Oral administration of a single dose of 25 mg/kg AST-487 reduced Cdkl5-kinase activity in the kidneys by ~90% (Fig. 6b). Remarkably, AST-487 treatment (single dose of 25 mg/kg, 6 h after cisplatin injection or ischemic surgery) significantly reduced cisplatin and ischemia-associated AKI in the wild-type mice (Fig. 6c–h). We then carried out further studies in both control and Cdkl5-deficient mouse models. We found that AST-487 treatment reduced Cdkl5 phosphorylation and kinase activity (Supplementary Fig. 19a, b). Importantly, AST-487 treatment did not afford protective effects in the Cdkl5-deficient mice (Supplementary Fig. 19c–e). Furthermore, AST-487 treatment in wild-type mice resulted in blunted Sox9 phosphorylation and markedly increased accumulation of Sox9 during AKI (Fig. 6i and Supplementary Fig. 20). Even though AST-487 treatment conferred protection in the wild-type mice, we questioned if Cdkl5 inhibition just delays the development of kidney injury or it has long-term protective effects. Indeed, long-term survival experiments showed that AST-487 treatment reduces cisplatin-associated mortality (Supplementary Fig. 21a). In further support, genetic Cdkl5- deficiency also provides long-term protection and survival benefits (Supplementary Fig. 21b).
Sox9-dependent and -independent regulation of AKI
To examine the dependence of Sox9 pathway in Cdkl5-associated renal injury, we initially examined the effect of Cdkl5 inhibition in control and Sox9-deficient mice challenged with ischemic injury. We found that Cdkl5 inhibition provides protection in both WT and Sox9PT−/− mice; however, the extent of protection is much lower in the Sox9PT−/− mice (Fig. 7a–c). Mice treated with cisplatin showed a similar phenotype (Supplementary Fig. 22a–c). We confirmed these results in primary RTECs, where Cdkl5 inhibition protected both WT and Sox9−/− cells; however, the extent of protection was lower in the Sox9−/− cells (Supplementary Fig. 23a–c).
To corroborate these findings, we next used the genetic knockout approach and performed similar studies in control, single-, and double-knockout mice (dKOPT) (Fig. 7d). As compared with the Cdkl5PT−/y mice, the dKOPT mice showed higher injury when challenged with ischemia, while as compared with the Sox9PT−/− mice, the dKOPT mice showed lower injury (Fig. 7d, g). We observed similar results in the cisplatin-toxicity model (Supplementary Fig. 22d–f). Studies with primary RTECs with single- or double-gene ablation also confirmed the in vivo findings (Supplementary Fig. 23d–g). These results suggest that Cdkl5 regulates renal injury in both Sox9-dependent and -independent manner. Furthermore, it is likely that regulation of Sox9 function during AKI occurs in both Cdkl5-dependent and -independent manner.
Finally, we performed a series of studies in female mice. We found that similar to male mice, Cdkl5 activity increases during AKI in females, and genetic or pharmacological inhibition of Cdkl5 function provides protection from ischemia and cisplatin-associated AKI (Supplementary Figs. 24 and 25). Cdkl5-dependent Sox9 phosphorylation was also confirmed in female mice (Supplementary Fig. 26). Collectively, these proof-of-principle experiments in multiple AKI mouse models showed robust therapeutic effects of Cdkl5 inhibition.
Discussion
Here, we have found that Cdkl5 also known as serine/threonine kinase 9 (Stk9) is a stress–responsive kinase that controls epithelial-cell fate during AKI. We propose that Cdkl5 activation promotes renal dysfunction through phosphorylation-mediated functional suppression of pro-survival transcription factor Sox9.
Very little is known about the five members of the CDKL family (CDKL1–5), though they have been linked to certain neuronal functions56. In humans, mutations in the X-linked CDKL5 gene are associated with neurodevelopmental disorders characterized by infantile seizures and developmental delay22,35,57,58,59,60. Some of these phenotypes have been recapitulated in the germline Cdkl5-knockout mice27. Most studies on CDKL5 function remain predominantly focused on its role in neuronal development. Interestingly, CDKL5 expression is not restricted to the brain, but is also detected in peripheral organs, particularly testes and kidney20. Our studies demonstrate Cdkl5 expression in RTECs and reveal its functional activation during AKI. It is noteworthy that germline or renal epithelial-cell-specific Cdkl5 deficiency did not have any overt effect on normal kidney structure or function. Importantly, germline or RTEC-specific Cdkl5 deletion conferred significant protection from AKI. Primary RTECs with Cdkl5 deficiency were also resistant to cellular injury. These studies suggest that Cdkl5 is not required for normal renal development or function; however, under stress conditions, Cdkl5 contributes to renal cell death and dysfunction.
The CDKL family shares structural features with CDKs as well as MAPKs and glycogen synthase kinases56. Although their nomenclature suggests similarity with CDKs, CDKLs have several features that distinguish them from CDKs, including the lack of evidence that CDKLs require cyclin binding, the presence of variant PSTAIRE motifs within the C helix, and large C-terminal regulatory domains with nuclear localization signals56. Moreover, there is no clear evidence that CDKLs are involved in cell-cycle regulation. Interestingly, our studies suggest that Cdkl5 might be a cell-cycle-independent stress–responsive kinase in RTECs, with much more functional similarity with MAPKs than CDKs. In support of this notion, our studies show Cdkl5 activation under markedly distinct conditions of cellular stress both in vitro and in vivo. In this regard, Cdkl5 seems to share functional similarities with MAPKs, which are known components of cellular stress response pathways61.
While the upstream signaling remains unknown, we have identified the transcription factor Sox9 as a bona fide Cdkl5 substrate and a key downstream target in renal epithelial cells. The endogenous substrates of CDKL5 have been previously investigated to understand its function in neurons25,35,36,37,38,39. Whether these previously identified substrates are involved in Cdkl5-dependent renal cell death remains unclear. However, through a pull-down experiment, we identified Sox9 as a Cdkl5 substrate in RTECs. Sox9 is a transcription factor that controls cell-fate decisions during embryonic development and homeostasis of a broad range of adult tissues62,63,64. Moreover, in cancer cells, SOX9 inhibits apoptosis and promotes proliferation, invasion, and metastasis65,66,67. Interestingly, two recent studies44,45 have shown that transcriptional upregulation of Sox9 is an early cellular response to renal injury, and Sox9 is essential for repair and recovery post AKI. After the initial injury phase, Sox9-expressing renal epithelial cells play a crucial role in the subsequent repair processes. Here we show that renal tubule-specific conditional Sox9-knockout mice are hypersensitive to AKI, indicating that along with its role in recovery and repair, Sox9 plays a pro-survival role in the early phase of AKI.
We also found that Cdkl5 phosphorylates Sox9 at Ser-199 residue during kidney injury in vivo. Cdkl5-mediated phosphorylation seems to reduce the stability of Sox9 protein. Indeed, while the injury-induced transcriptional upregulation of Sox9 was similar in the control and Cdkl5-null mice, Cdkl5 deletion in RTECs both hastened and markedly increased the accumulation of Sox9 protein (Fig. 4). Pharmacological inhibition of Cdkl5 kinase also resulted in increased accumulation of Sox9 during AKI (Fig. 6). Importantly, examination of the protein stability of various Sox9 mutants (S199A > WT > S199D) indicated that Sox9 phosphorylation at Ser-199 likely causes increased proteasomal degradation resulting in diminished half-life. However, we cannot rule out the possibility that Sox9 phosphorylation at Ser-199 might have other biological effects, including changes in dimerization or altered binding to partner proteins. Ser-199 phosphorylation might also alter the affinity of Sox9 for target genes, a possibility that we cannot currently examine due to the inability to perform ChIP with the phospho-Sox9 antibody. However, these studies have revealed robust Cdkl5-dependent Sox9 phosphorylation in RTECs as part of cellular stress response to distinct injuries.
AKI is associated with a high risk for mortality, development of chronic kidney disease, and multi-organ dysfunction2,10. Currently, no specific treatments or prophylactic approaches are available to treat or prevent AKI. We provide proof-of-principle studies showing that targeted Cdkl5 inhibition can provide protection from renal injury. The small-molecule Cdkl5 inhibitor AST-487 mitigated renal injury in multiple mouse models of AKI. While these studies provide promising proof-of-concept data, clinical translation of these studies would depend on the development or identification of Cdkl5 inhibitors with much more specificity than AST-487. Our study also raises three important questions that require further exploration. First, in adults, could systemic Cdkl5 inhibition cause toxicity in the central nervous system? While Cdkl5 is clearly important for early neuronal development, it is unclear if it has any essential function in the adult brain and so, it remains unknown whether short-term pharmacological Cdkl5 inhibition would have any CNS toxicities. However, we propose that the likelihood of any neuronal side effects could be easily reduced by selecting Cdkl5 inhibitors that do not cross the blood–brain barrier. Second, could systemic Cdkl5 inhibition cause toxicity in other peripheral organs or influence renal recovery, regeneration, and fibrosis? Future studies would be required to examine these possibilities; however, we have found that Cdkl5 inhibition not just delays renal injury, but also confers long-term survival benefits, without overt systemic toxicities (Supplementary Fig. 21). Third, it would be critical to examine if Cdkl5 inhibition-dependent Sox9 stabilization has any detrimental long-term effects in the kidneys.
Our study also raises the possibility that the Cdkl5–Sox9 axis might have important biological functions in other nonrenal cell types, especially neurons and cancer cells. An essential question that merits further investigation is whether disruption of CDKL5–SOX9 axis underlies some of the neuronal phenotypes observed in humans and mice with loss-of-function CDKL5 mutations. Moreover, SOX9 has emerged as an essential regulator of cancer cell stemness, differentiation, and apoptosis. We find that CDKL5 is widely expressed in cancer cell lines (Supplementary Fig. 27), raising the possibility that CDKL5 might regulate SOX9 function in cancer cells. CDKL5 might be a crucial nuclear kinase that suppresses SOX9 function under conditions of cellular stress. Future studies will likely provide insights into these important questions and a better understanding of the biological function of the enigmatic CDKL family of kinases.
Methods
Cell culture and reagents
Boston University mouse proximal tubule cells (BUMPT, clone 306, originally from Drs. Wilfred Lieberthal and John Schwartz, Boston University School of Medicine, Boston, MA, and obtained from Dr. Zheng Dong, Augusta University, Augusta, GA) were grown at 37 °C in Dulbecco’s modified Eagle’s medium with 10% fetal bovine serum. The human renal tubular cell line, HK-2 cells (ATCC, CRL-2190) were grown in keratinocyte media (K-SFM) according to the provider’s instructions. Protein kinase inhibitors were obtained from Sigma-Aldrich or Selleckchem. Radiolabeled compounds were obtained from American Radiochemicals or Moravek Biochemicals.
Primary tubular cell culture and transduction
Anti-GFP antibody and MACS columns (Miltenyi Biotech) were used to isolate GFP-positive tubular epithelial cells. For primary cell culture, tubular epithelial cells were isolated from 6- to 8-week-old male mice24. Briefly, mice were euthanized by carbon dioxide asphyxiation, kidneys were excised, and renal cortical tissues were minced thoroughly and digested with 0.75 mg/ml collagenase IV (Thermo Fisher Scientific). RTECs were then purified by centrifugation at 2000 g for 10 min in DMEM/F-12 medium with 32% Percoll (Amersham). After washes with serum-free media, the cells were plated in collagen-coated dishes and cultured in DMEM/F-12 medium supplemented with 5 μg/ml transferrin, 5 μg/ml insulin, 0.05 μM hydrocortisone, and 50 μM vitamin C (Sigma-Aldrich). Fresh media was supplemented every alternate day, and after 5–7 days of growth, the isolated proximal tubular cells were trypsinized and replated at 1 × 105 cells per well in 24-well plates. For Cre-mediated gene excision, cultured primary tubular cells were transduced with high-titer (1 × 108 CFU/ml) LV-CMV-Cre-GFP lentivirus (Kerafast), followed by cisplatin treatment 48 h later. Microscopic examinations were carried out to ensure that greater than 90% cells were GFP (Cre) positive before proceeding with cisplatin treatment. For Sox9 “add-back” experiments, proximal tubular cells from WT and Sox9PT−/− cells were transduced with either lentivirus (pLenti-C-Myc-DDK-P2A-Puro, Origene) encoding WT or Sox9 mutants (S199A and S199D). To induce cell death, primary RTECs were incubated with 50 μM cisplatin (Sigma-Aldrich) in fresh culture medium for 24 h, followed by viability and caspase assays.
siRNA kinome screening
BUMPT cells were used for the siRNA kinome screening using methods similar to our previous study55. Briefly, the Dharmacon mouse siRNA library targeting protein kinases and related genes (780 genes) containing four pooled siRNAs for each gene was utilized in the primary screen. Briefly, the BUMPT cells were plated in 96-well plates and reverse-transfected with 25 nM siRNA using Lipofectamine RNAiMAX reagent (Life Technologies). At 48 h post transfection, cells were treated with 15 µM cisplatin in fresh media. Subsequently, 48 h post treatment, CellTiter-Glo luminescent cell viability assay (Promega) was carried out to determine cellular viability. The siRNAs that protected BUMPT cells from cisplatin-induced cell death greater than the positive control (Pkcδ siRNA) were selected for secondary screening. The primary screen was carried out in triplicate samples, and data analysis was performed according to established methods55.
Cell viability and caspase assays
Cellular viability was examined using three different assays, namely MTT, CellTiter-Glo, and trypan blue staining. MTT assays were performed using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) reagent (Sigma-Aldrich). BUMPT cells or RTECs were seeded in 96-well plates, followed by cisplatin treatment for 24–48 h. After treatment, 10 μL of MTT reagent (5 mg/mL MTT in PBS) was added to each well, and plates were incubated at 37 °C with 5% CO2 for 4 h, followed by addition of 100 μl of acidified isopropanol (Sigma-Aldrich) and measurement of absorbance at 590 nm. The half-maximal inhibitory concentration (IC50) was evaluated by nonlinear regression analysis using GraphPad Prism. Similar to MTT assays, CellTiter-Glo (Promega) assays were performed according to established methods followed by luminescence measurement. Cell viability was also measured by trypan blue exclusion method. Briefly, cells were harvested, followed by trypan blue staining and manual cell counting with a hemocytometer and/or by using Countess Automated Cell Counter (Thermo Fisher); translucent cells were considered as viable and blue-stained cells were counted as dead. Cell viability was calculated by dividing the number of viable cells by the total cell number; each sample was done in triplicate.
Caspase activity was measured in cell lysates using an in vitro assay68. Briefly, RTECs were lysed in a buffer containing 1% Triton X-100, and 10 μg of protein from cell lysates was added to an enzymatic assay buffer containing 50 μM DEVD-AFC for 60 min at 37 °C. Fluorescence at excitation 360 nm/emission 535 nm was measured, and free AFC was used to plot a standard curve, and using the standard curve, the fluorescence reading from the enzymatic reaction was converted into the nM AFC liberated per mg protein per hour as a measure of caspase activity.
Mice breeding
All animals were housed and handled in accordance with approved Institutional Animal Care and Use Committee procedures. All animal studies were conducted according to protocols approved by the Institutional Animal Care and Use Committees of The Ohio State University (2017R00000006). Mice used in the current study were housed in a temperature-controlled environment with a 12-h light cycle and given a standard diet and water ad libitum. Germline Cdkl5-deficient mice (stock no. 021967) were obtained from Jackson Laboratories, and heterozygous mice were bred in-house to obtain wild-type and knockout littermates. Conditional gene knockout in RTECs was achieved through breeding of Cdkl5-floxed mice (Jackson Laboratory, stock no. 030523) and Sox9-floxed mice (Jackson Laboratory, stock no. 013106) with Ggt1-Cre mice (Jackson Laboratory, stock no. 012841). Double-knockout mice (dKOPT) were generated by crossing Cre-positive Cdkl5 and Sox9-floxed mice. mT/mG mice that express cell membrane-targeted, two-color fluorescent Cre-reporter allele were obtained from Jackson Laboratories (stock no. 007676). In these mice prior to Cre recombination, cell membrane-localized tdTomato (mT) fluorescence expression is widespread in cells/tissues, and Cre recombinase expression induces cell membrane-localized EGFP (mG) fluorescence expression replacing the red fluorescence. The mT/mG mice were bred with Ggt1-Cre strain. For all mouse colonies, the pups were ear-tagged and genotyped at 3 weeks of age.
Animal models of AKI
For all experiments, age-matched (8–12 week) male or female mice were used. Littermates were used in studies with germline, mutant, or conditional knockout mice. For experiments where only wild-type mice were used, 8- to 12-week-old male C57BL/6J or FvB mice were obtained from Jackson Laboratories.
For cisplatin nephrotoxicity experiments, cisplatin (15–30 mg/kg) was administered by i.p. injection24. Optimal cisplatin dose was determined for each strain by dose–response experiments. After cisplatin injection, blood was collected on days 0–3 by submandibular vein bleed or on day 3 via cardiac puncture after carbon dioxide asphyxiation. Renal tissues were collected and processed for Western blot and histological analysis.
For ischemia–reperfusion experiments, mice were anesthetized by isoflurane and placed on a surgical platform where the body temperature was monitored throughout the procedure. The skin was disinfected, kidneys were exposed, and bilateral renal pedicles were clamped for 28–35 min. Subsequently, the clamps were released to initiate the reperfusion followed by suturing to close the muscle and skin around the incision. To compensate for the fluid loss, 0.5 ml of warm sterile saline was administered via intraperitoneal injection. Blood was collected on days 0–2 by submandibular vein bleed or on day 2 via cardiac puncture after carbon dioxide asphyxiation. Renal tissues were collected and processed for Western blot and histological analysis. For Cdkl5 pharmacological inhibition studies, vehicle (1:10 v/v N-methylpyrrolidone/PEG300) or AST-487 were administered by oral gavage (25 mg/kg) 6 h post cisplatin injection or ischemic surgery.
To induce rhabdomyolysis, 8–12-week-old male C57BL/6J mice were injected with 7.5 ml/kg 50% glycerol intramuscularly to the two hind legs or injected with saline as a control, followed by blood and tissue collection on day 0–2. To induce FA-mediated kidney injury, male FvB wild-type mice (~25 g, 10 weeks old) were purchased from Jackson Laboratory and administered with FA (250 mg/kg, dissolved in 300 mM NaHCO3) through intraperitoneal injection.
Assessment of renal damage
Renal damage was assessed by serum analysis (blood urea nitrogen and creatinine), histological examination (H&E staining), and analysis of renal expression of injury biomarkers (Kim1 and Ngal). Mouse blood samples were collected at indicated timepoints, followed by blood urine nitrogen and creatinine measurement by QuantiChromTM Urea Assay Kit (DIUR-100) and Creatinine Colorimetric Assay Kit (Cayman Chemical). For histological analysis, mouse kidneys were harvested and embedded in paraffin at indicated timepoints before and after AKI induction. Tissue sections (5 µm) were stained with hematoxylin and eosin by standard methods. Histopathologic scoring was conducted in a blinded fashion by examining ten consecutive 100× fields per section from at least three mice per group. Tubular damage was scored by calculation of the percentage of tubules that showed dilation, epithelium flattening, cast formation, loss of brush border and nuclei, and denudation of the basement membrane. The degree of tissue damage was scored based on the percentage of damaged tubules as previously24 described: 0: no damage; 1: <25%; 2: 25–50%; 3: 50–75%; 4: >75%.
Gene expression analysis
Total RNA was extracted from cell lines and murine kidneys using the RNeasy Mini Kit (Qiagen). NanoDrop was used to measure RNA quality and quantity. One microgram of total RNA was then reverse-transcribed using the high-capacity cDNA Reverse Transcription Kit (Thermo Fisher Scientific). qPCR analysis was then performed using the SYBR green master mix with sequence-specific predesigned primers (Sigma). The sequences of qPCR primers are shown in Supplementary Table 2. For quantitative analysis, target gene values were normalized to β-actin gene expression using the ΔΔCT value method.
Protein analysis
Whole-cell lysates from RTECs, cell lines, and renal cortical tissues were made in modified RIPA buffer (20 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1 mM Na2EDTA, 1 mM EGTA, 1% NP-40, 2.5 mM sodium pyrophosphate, 1 mM beta-glycerophosphate, protease, and phosphatase inhibitors) supplemented with 1% SDS. Cellular lysates for CDKL5 immunoprecipitation and kinase assay were made in modified RIPA buffer supplemented with 0.1% SDS. For co-immunoprecipitation experiments, cell lysates were made in modified RIPA buffer supplemented with 0.2% β-maltoside. Immunoprecipitations were carried out as described previously55 using anti-FLAG (EZview Red ANTI-FLAG M2 Affinity Gel, Sigma-Aldrich), anti-CDKL5 (Millipore, MABS1132), and anti-SOX9 antibodies (Abcam, ab3697). Invitrogen Bis-tris gradient mini or midi-gels were used for western blot analysis, followed by detection by ECL reagent (Cell Signaling). Primary antibodies used for western blot analysis were from Cell Signaling: FLAG (14793), Histone H3 (4499), GAPDH (5174), and Santa Cruz Biotech: β-actin (47778), NGAL (50351), Myoferlin (376879), Sema3e (74554), Gadd45a (6850), Abcam: SOX9 (EPR14335-78), and CDKL5 (ab22453). All primary antibodies were used at 1:1,000 dilution. Secondary antibodies were from Jackson Immunoresearch and used at 1:2,000 dilutions. Uncropped images of western blots are shown in Source Data File. Protein lysates used to determine CDKL5 expression in cancer cell lines were obtained from the DCTD Tumor Repository, National Cancer Institute at Frederick, and the list of cell lines is provided in Supplementary Table 3.
Protein kinase assay
Protein kinase assays of purified proteins and IP kinases were carried out by in vitro assays55,68. For assays with purified proteins, CDKL5-recombinant human protein was obtained from Life Technologies (A30493). To purify Sox9 wild-type and mutant proteins, FLAG-tagged Sox9 constructs were subcloned into pT7CFE1-CHis plasmid (Thermo Fisher). These constructs were then used for in vitro translation using a HeLa cell lysate-based Kit (1-Step Human Coupled IVT Kit—DNA, 88881, Life Technologies). The in vitro-translated proteins were then purified using His Pur cobalt spin columns (Thermo Scientific). For in vitro kinase assays, recombinant CDKL5 and purified Sox9 proteins were incubated in a kinase buffer (Cell Signaling, 9802) supplemented with [gamma-P32] adenosine 5′-triphosphate (ATP) at 30 °C for 30 min. After the incubation period, the reaction was terminated, followed by autoradiographic examination of phosphorylated proteins and subsequent western blot analysis to determine the level of input proteins. For assays used to examine multiple kinase inhibitors, purified kinases (CDK2, CDK4, CDK6, and CDKL5) were incubated with 1 µM concentration of kinase inhibitors for 30 min followed by kinase assays using ADP-Glo Kinase Assay kit (Promega).
Renal tissues and cells were lysed with a buffer containing 150 mM NaCl, 1 mM EDTA, 1 mM EGTA, 1% (vol/vol) Triton X-100, 2.5 mM sodium pyrophosphate, 1 mM β-glycerol phosphate, 1 mM Na3VO4, 10 μg/ml leupeptin, 10 μg/ml aprotinin, 1 mM phenylmethylsulfonyl fluoride, 50 mM NaF, 0.2% (wt/vol) dodecyl β-d-maltoside, and 20 mM Tris (pH 7.5). The soluble extracts were then subjected to Cdkl5 immunoprecipitation. Briefly, 500 µg of protein lysate was incubated with 2 μg of IgG or anti-Cdkl5 antibody at 4 oC overnight, followed by addition of 30 μl of agarose protein A/G beads. Bead-bound immunoprecipitates were washed and collected by centrifugation. Immunoprecipitates were added to a protein kinase reaction buffer containing 20 µM ATP and myelin basic protein (Millipore) as substrate and incubated at 30 °C for 30 min. The ADP-Glo™ Kinase Assay (Promega) kit was then used to measure kinase activity. This is a luminescent ADP detection assay that provides a method to measure kinase activity by quantifying the amount of ADP produced during a kinase reaction. After the reaction was terminated, western blot analysis was carried out to determine the level of inmmunoprecipiated proteins. Relative kinase activity was calculated by normalizing the kinase activity (luminescence) to the amount of IP protein (densitometry of Cdkl5 signal). The specificity of Cdkl5-kinase assay was verified by conducting assays using wild-type and Cdkl5−/y tissues, which demonstrated undetectable activity in the Cdkl5-deficient tissues (Supplementary Fig. 19a, b).
Mass spectrometry analysis
Mass spectrometric analysis was performed at the Taplin Biological Mass Spectrometry Facility (Harvard University). Excised gel bands were cut into approximately 1-mm3 pieces. Gel pieces were then subjected to a modified in-gel trypsin digestion procedure69. Gel pieces were washed and dehydrated with acetonitrile for 10 min, followed by removal of acetonitrile. Pieces were then completely dried in a speed-vac. Rehydration of the gel pieces was with 50 mM ammonium bicarbonate solution containing 12.5 ng/µl modified sequencing-grade trypsin (Promega, Madison, WI) at 4 °C. After 45 min, the excess trypsin solution was removed and replaced with 50 mM ammonium bicarbonate solution to just cover the gel pieces. Samples were then placed in a 37 °C room overnight. Peptides were later extracted by removing the ammonium bicarbonate solution, followed by one wash with a solution containing 50% acetonitrile and 1% formic acid. The extracts were then dried in a speed-vac (~1 h) and reconstituted in 5–10 µl of HPLC solvent A (2.5% acetonitrile and 0.1% formic acid). A nanoscale reverse-phase HPLC capillary column was created by packing 2.6-µm C18 spherical silica beads into a fused silica capillary (100-µm inner diameter × ~30-cm length) with a flame-drawn tip. After equilibrating the column, each sample was loaded via a Famos auto sampler (LC Packings, San Francisco, CA) onto the column. A gradient was formed and peptides were eluted with increasing concentrations of solvent B (97.5% acetonitrile and 0.1% formic acid). As peptides eluted, they were subjected to electrospray ionization and then entered into an LTQ Orbitrap Velos Pro ion-trap mass spectrometer (Thermo Fisher Scientific, Waltham, MA). Peptides were detected, isolated, and fragmented to produce a tandem mass spectrum of specific fragment ions for each peptide. The peptides were fragmented using CID (collision-induced disassociation). A high-resolution scan was done at 60,000 resolutions, followed by 20 low-resolution MS/MS scans in the ion trap. Peptide sequences (and protein identity) were determined by matching protein databases (Uniprot) with the acquired fragmentation pattern by the software program, Sequest Version 3.2 (ThermoFisher, San Jose, CA). The database was indexed based on a trypsin digestion, with two missed cleavages. Fixed modification of 57.0214 Da on cysteine (iodoacetamide) and a variable modification of 15.9949 Da on methionine were considered. The MS1 mass tolerance was 50 ppm and the MS2 tolerance was 1.0 Da. The peptide mass range used was 600–6000 Da. All accepted peptides have a cross-correlation (Xcorr) score of at least 0.5. All databases include a reversed version of all the sequences, and the data were filtered to between a 1 and 2% peptide false-discovery rate. For analysis, we applied a cutoff of five unique peptides per protein. The peptides used for identification of Sox9 are shown in Supplementary Table 4.
Generation of phospho-Ser-199–SOX9 and phospho-Thr-169-Cdkl5 antibodies
Phospho-specific antibodies were generated and characterized by established methods70. Briefly, the rabbit anti-phospho-antibodies were generated by using the 118-day protocol (Covance). Peptide surrounding the Ser-199 of Sox9 and Thr-169 region of Cdkl5 was used for immunization. Immunoblot and ELISA-based methods were used to test the bleeds for antibody production, followed by purification of phospho-antibody by affinity purification. The specificity of the purified antibody was confirmed with in vitro kinase assays and tissues from knockout mice. Dephosphorylation assays were carried out by incubation of cell lysates with recombinant lambda phosphatase (New England Biolabs, P0753) at 30 °C for 2 h, followed by western blot analysis with phospho- and total Sox9 and Cdkl5 antibodies.
Chromatin immunoprecipitation–qPCR
ChIP assays were performed using the Pierce Magnetic ChIP Kit according to the manufacturer’s instructions70. Briefly, cross-linking with 1% formaldehyde was carried out in RTECs or renal tissues, followed by quenching with glycine, cell harvesting, and DNA fragmentation by sonication. Lysates were precleared for 1 h with Protein A + G magnetic beads (EMD Millipore). Precleared lysates were then incubated with 5 μg of anti-SOX9 antibodies (Abcam, ab3697) overnight at 4 °C, followed by addition of Protein A + G magnetic beads and incubation for 4 h at 4 °C. Subsequently, the beads were repeatedly washed, followed by elution of the protein–DNA complexes, reversal of cross-links, and DNA purification. Standard qPCR analysis was then carried out using primers spanning the promoters of target genes. The sequences of primers are shown in Supplementary Table 2.
Plasmids and site-directed mutagenesis
The Cdkl5 and Sox9 plasmids with pCMV6-entry backbone were obtained from Origene. The QuikChange II XL Site-Directed Mutagenesis Kit (Agilent) was utilized to generate mutants, according to suggested methods. The QuikChange primer design program was employed to design mutagenesis primers55. Primers were synthesized by Integrated DNA Technologies. All constructs were sequenced to confirm successful mutagenesis. The mutagenesis primer sequences are shown in Supplementary Table 2.
Promoter luciferase assay
HEK293 cells were stably transfected with either empty vector (pCMV6) or Sox9 expression vector (Origene). These cells were then utilized for promoter luciferase reporter assays70. Briefly, 5 × 103 cells were plated overnight on white poly-l-lysine-coated 96-well plates, followed by transient transfection with either promoter constructs (Switchgear Genomics, encoding 2-kb sequence upstream of transcription start sites of the following genes: Gadd45a, Wwp2, Sema3e, and Myof) or empty promoter construct at 30 ng in combination with the Cypridina TK control construct (Switchgear Genomics) at 1 ng, according to the manufacturer’s protocol (Switchgear Genomics, Lightswitch Dual Assay kit, DA010). The promoter construct encodes a Renilla luminescent reporter gene, called RenSP, while the transfection and normalization vector encodes a Cypridina luciferase. The Renilla luciferase activity was normalized with the Cypridina luciferase activity.
Statistical considerations
Data are presented as mean with s.e.m., unless stated otherwise. Statistical calculations (Student’s t test or analysis of variance) were carried our using GraphPad Prism. p < 0.05 was considered statistically significant. To calculate statistical significance between two groups, two-tailed unpaired Student’s t test was performed. One-way ANOVA followed by Tukey’s or Dunnett’s multiple-comparison test was used for comparisons among three or more groups. For all the experimental data presented in the paper, no sample outliers were excluded.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability
The source data underlying Figs. 1b, 1d, 1e–h, 2a–f, 2h–k, 2n, 3a–k, 4a, b, 4d–f, 5a–k, 6a–I, and 7a–g and Supplementary Figs. 1a–k, 2a, b, 4a–i, 5a–f, 6a–I, 7, 8a–c, 9a, b, 10a–d, aa, 12a–e, 13a–e, 14a–h, 15a–h, 16, 17a–p, 18a–h, 19a–e, 20, 21a, b, 22a–f, 23a–g, 24a–g, 25a–g, 26a–c, and 27 are provided as a Source Data file. A reporting summary for this article is available as a Supplementary Information file. All data supporting the findings of this study are available from the corresponding author on reasonable request.
References
Smith, H. W. From Fish to Philosopher; The Story of Our Internal Environment (1959).
Zuk, A. & Bonventre, J. V. Acute kidney injury. Annu. Rev. Med. 67, 293–307 (2016).
Okubo, K. et al. Macrophage extracellular trap formation promoted by platelet activation is a key mediator of rhabdomyolysis-induced acute kidney injury. Nat. Med. 24, 232–238 (2018).
Rosner, M. H. & Perazella, M. A. Acute kidney injury in patients with cancer. N. Engl. J. Med. 376, 1770–1781 (2017).
Schrier, R. W. & Wang, W. Acute renal failure and sepsis. N. Engl. J. Med. 351, 159–169 (2004).
Lam, A. Q. & Humphreys, B. D. Onco-nephrology: AKI in the cancer patient. Clin. J. Am. Soc. Nephrol. 7, 1692–1700 (2012).
Linkermann, A. et al. Regulated cell death in AKI. J. Am. Soc. Nephrol. 25, 2689–2701 (2014).
Bellomo, R., Kellum, J. A. & Ronco, C. Acute kidney injury. Lancet 380, 756–766 (2012).
Murugan, R. & Kellum, J. A. Acute kidney injury: what’s the prognosis? Nat. Rev. Nephrol. 7, 209–217 (2011).
Chawla, L. S., Eggers, P. W., Star, R. A. & Kimmel, P. L. Acute kidney injury and chronic kidney disease as interconnected syndromes. N. Engl. J. Med. 371, 58–66 (2014).
Bock, J. S. & Gottlieb, S. S. Cardiorenal syndrome: new perspectives. Circulation 121, 2592–2600 (2010).
Bonventre, J. V. & Yang, L. Cellular pathophysiology of ischemic acute kidney injury. J. Clin. Invest. 121, 4210–4221 (2011).
Li, L. & Okusa, M. D. Macrophages, dendritic cells, and kidney ischemia-reperfusion injury. Semin. Nephrol. 30, 268–277 (2010).
Ramesh, G. & Reeves, W. B. TNF-alpha mediates chemokine and cytokine expression and renal injury in cisplatin nephrotoxicity. J. Clin. Invest. 110, 835–842 (2002).
Ferenbach, D. A. & Bonventre, J. V. Kidney tubules: intertubular, vascular, and glomerular cross-talk. Curr. Opin. Nephrol. Hypertens. 25, 194–202 (2016).
Hopkins, A. L. & Groom, C. R. The druggable genome. Nat. Rev. Drug Discov. 1, 727–730 (2002).
Manning, G., Whyte, D. B., Martinez, R., Hunter, T. & Sudarsanam, S. The protein kinase complement of the human genome. Science 298, 1912–1934 (2002).
Levitzki, A. Tyrosine kinase inhibitors: views of selectivity, sensitivity, and clinical performance. Annu. Rev. Pharmacol. Toxicol. 53, 161–185 (2013).
Gross, S., Rahal, R., Stransky, N., Lengauer, C. & Hoeflich, K. P. Targeting cancer with kinase inhibitors. J. Clin. Invest. 125, 1780–1789 (2015).
Montini, E. et al. Identification and characterization of a novel serine-threonine kinase gene from the Xp22 region. Genomics 51, 427–433 (1998).
Kalscheuer, V. M. et al. Disruption of the serine/threonine kinase 9 gene causes severe X-linked infantile spasms and mental retardation. Am. J. Hum. Genet. 72, 1401–1411 (2003).
Tao, J. et al. Mutations in the X-linked cyclin-dependent kinase-like 5 (CDKL5/STK9) gene are associated with severe neurodevelopmental retardation. Am. J. Hum. Genet. 75, 1149–1154 (2004).
Pabla, N. & Dong, Z. Cisplatin nephrotoxicity: mechanisms and renoprotective strategies. Kidney Int. 73, 994–1007 (2008).
Pabla, N. et al. Inhibition of PKCδ reduces cisplatin-induced nephrotoxicity without blocking chemotherapeutic efficacy in mouse models of cancer. J. Clin. Invest. 121, 2709–2722 (2011).
Muñoz, I. M. et al. Phosphoproteomic screening identifies physiological substrates of the CDKL5 kinase. EMBO J. 37, pii: e99559. https://doi.org/10.15252/embj.201899559 (2018).
Bahi-Buisson, N. et al. Recurrent mutations in the CDKL5 gene: genotype-phenotype relationships. Am. J. Med. Genet. A 158A, 1612–1619 (2012).
Wang, I.-T. J. et al. Loss of CDKL5 disrupts kinome profile and event-related potentials leading to autistic-like phenotypes in mice. Proc. Natl Acad. Sci. USA 109, 21516–21521 (2012).
Hector, R. D. et al. Characterisation of CDKL5 transcript Isoforms in human and Mouse. PLoS ONE 11, e0157758 (2016).
Bertani, I. et al. Functional Consequences of Mutations in CDKL5, an X-linked Gene Involved in Infantile Spasms and Mental Retardation. J. Biol. Chem. 281, 32048–32056 (2006).
de Caestecker, M. et al. Bridging translation by improving preclinical study design in AKI. J. Am. Soc. Nephrol. 26, 2905–2916 (2015).
Ichimura, T. et al. Kidney injury molecule-1 (KIM-1), a putative epithelial cell adhesion molecule containing a novel immunoglobulin domain, is up-regulated in renal cells after injury. J. Biol. Chem. 273, 4135–4142 (1998).
Paragas, N. et al. The Ngal reporter mouse detects the response of the kidney to injury in real time. Nat. Med. 17, 216–222 (2011).
Gardner, D. S. et al. Remote effects of acute kidney injury in a porcine model. Am. J. Physiol. Ren. Physiol. 310, F259–F271 (2016).
Iwano, M. et al. Evidence that fibroblasts derive from epithelium during tissue fibrosis. J. Clin. Invest. 110, 341–350 (2002).
Mari, F. et al. CDKL5 belongs to the same molecular pathway of MeCP2 and it is responsible for the early-onset seizure variant of Rett syndrome. Hum. Mol. Genet. 14, 1935–1946 (2005).
Ricciardi, S. et al. CDKL5 ensures excitatory synapse stability by reinforcing NGL-1-PSD95 interaction in the postsynaptic compartment and is impaired in patient iPSC-derived neurons. Nat. Cell Biol. 14, 911–923 (2012).
Zhu, Y.-C. et al. Palmitoylation-dependent CDKL5-PSD-95 interaction regulates synaptic targeting of CDKL5 and dendritic spine development. Proc. Natl Acad. Sci. USA 110, 9118–9123 (2013).
Kameshita, I. et al. Cyclin-dependent kinase-like 5 binds and phosphorylates DNA methyltransferase 1. Biochem. Biophys. Res. Commun. 377, 1162–1167 (2008).
Baltussen, L. L. et al. Chemical genetic identification of CDKL5 substrates reveals its role in neuronal microtubule dynamics. EMBO J. 37, pii: e99763. https://doi.org/10.15252/embj.201899763 (2018).
Jo, A. et al. The versatile functions of Sox9 in development, stem cells, and human diseases. Genes Dis. 1, 149–161 (2014).
Larsimont, J.-C. et al. Sox9 controls self-renewal of oncogene targeted cells and links tumor initiation and invasion. Cell Stem Cell 17, 60–73 (2015).
Akiyama, H., Chaboissier, M.-C., Martin, J. F., Schedl, A. & de Crombrugghe, B. The transcription factor Sox9 has essential roles in successive steps of the chondrocyte differentiation pathway and is required for expression of Sox5 and Sox6. Genes Dev. 16, 2813–2828 (2002).
Hornbeck, P. V. et al. PhosphoSitePlus, 2014: mutations, PTMs and recalibrations. Nucleic Acids Res. 43, D512–D520 (2015).
Kumar, S. et al. Sox9 activation highlights a cellular pathway of renal repair in the acutely injured mammalian kidney. Cell Rep. 12, 1325–1338 (2015).
Kang, H. M. et al. Sox9-positive progenitor cells play a key role in renal tubule epithelial regeneration in mice. Cell Rep. 14, 861–871 (2016).
Kadaja, M. et al. SOX9: a stem cell transcriptional regulator of secreted niche signaling factors. Genes Dev. 28, 328–341 (2014).
Liu, J. et al. Molecular characterization of the transition from acute to chronic kidney injury following ischemia/reperfusion. JCI Insight 2, e94716. https://doi.org/10.1172/jci.insight.94716 (2017).
Maddika, S. et al. WWP2 is an E3 ubiquitin ligase for PTEN. Nat. Cell Biol. 13, 728–733 (2011).
Davis, D. B., Delmonte, A. J., Ly, C. T. & McNally, E. M. Myoferlin, a candidate gene and potential modifier of muscular dystrophy. Hum. Mol. Genet. 9, 217–226 (2000).
Rademaker, G. et al. Myoferlin controls mitochondrial structure and activity in pancreatic ductal adenocarcinoma, and affects tumor aggressiveness. Oncogene 37, 4398–4412 (2018).
Eissa, N. et al. Semaphorin 3E regulates apoptosis in the intestinal epithelium during the development of colitis. Biochem. Pharmacol. 166, 264–273 (2019).
Davis, M. I. et al. Comprehensive analysis of kinase inhibitor selectivity. Nat. Biotechnol. 29, 1046–1051 (2011).
Akeno-Stuart, N. et al. The RET kinase inhibitor NVP-AST487 blocks growth and calcitonin gene expression through distinct mechanisms in medullary thyroid cancer cells. Cancer Res. 67, 6956–6964 (2007).
Li, J. et al. A chemical and phosphoproteomic characterization of dasatinib action in lung cancer. Nat. Chem. Biol. 6, 291–299 (2010).
Sprowl, J. A. et al. A phosphotyrosine switch regulates organic cation transporters. Nat. Commun. 7, 10880 (2016).
Canning, P. et al. CDKL family kinases have evolved distinct structural features and ciliary function. Cell Rep. 22, 885–894 (2018).
Weaving, L. S. et al. Mutations of CDKL5 cause a severe neurodevelopmental disorder with infantile spasms and mental retardation. Am. J. Hum. Genet. 75, 1079–1093 (2004).
Lin, C., Franco, B. & Rosner, M. R. CDKL5/Stk9 kinase inactivation is associated with neuronal developmental disorders. Hum. Mol. Genet. 14, 3775–3786 (2005).
Huppke, P., Ohlenbusch, A., Brendel, C., Laccone, F. & Gärtner, J. Mutation analysis of the HDAC 1, 2, 8 and CDKL5 genes in Rett syndrome patients without mutations in MECP2. Am. J. Med. Genet. A 137, 136–138 (2005).
Evans, J. C. et al. Early onset seizures and Rett-like features associated with mutations in CDKL5. Eur. J. Hum. Genet. 13, 1113–1120 (2005).
Zhang, W. & Liu, H. T. MAPK signal pathways in the regulation of cell proliferation in mammalian cells. Cell Res. 12, 9–18 (2002).
Prior, H. M. & Walter, M. A. SOX genes: architects of development. Mol. Med. 2, 405–412 (1996).
Koopman, P. Sry and Sox9: mammalian testis-determining genes. Cell. Mol. Life Sci. 55, 839–856 (1999).
Barrionuevo, F. & Scherer, G. SOX E genes: SOX9 and SOX8 in mammalian testis development. Int. J. Biochem. Cell Biol. 42, 433–436 (2010).
Tsuda, M. et al. The BRG1/SOX9 axis is critical for acinar cell-derived pancreatic tumorigenesis. J. Clin. Invest. 128, 3475–3489 (2018).
Zhu, Z., Dai, J., Liao, Y. & Wang, T. Sox9 protects against human lung fibroblast cell apoptosis induced by LPS through activation of the AKT/GSK3β pathway. Biochemistry 82, 606–612 (2017).
Kawaguchi, Y. Sox9 and programming of liver and pancreatic progenitors. J. Clin. Invest. 123, 1881–1886 (2013).
Wang, J. et al. Caspase-mediated cleavage of ATM during cisplatin-induced tubular cell apoptosis: inactivation of its kinase activity toward p53. Am. J. Physiol. Ren. Physiol. 291, F1300–F1307 (2006).
Shevchenko, A., Wilm, M., Vorm, O. & Mann, M. Mass spectrometric sequencing of proteins silver-stained polyacrylamide gels. Anal. Chem. 68, 850–858 (1996).
van Oosterwijk, J. G. et al. Hypoxia-induced upregulation of BMX kinase mediates therapeutic resistance in acute myeloid leukemia. J. Clin. Invest. 128, 369–380 (2018).
Acknowledgements
We thank Drs. Christopher Coss and Christina Drenberg (Ohio State University) for critical reading of the paper prior to submission. We thank Dr. Zheng Dong (Augusta University) for providing the BUMPT cell line, which was originally obtained from Drs. Wilfred Lieberthal and John Schwartz, Boston University School of Medicine, Boston, MA. We thank the DCTD Tumor Repository, National Cancer Institute at Frederick for providing the cellular lysates used for protein analysis in various cancer cell lines. This study was supported by funds from the Ohio State University Comprehensive Cancer Center, Pelotonia foundation, American Heart Association (17SDG33440070), and National Cancer Institute (NCI R01 CA215802). N.S.P. was supported by a Scientist Development Grant from the American Heart Association. Y.B. was supported by a postdoctoral fellowship from the American Heart Association.
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N.S.P., J.Y.K., and Y.B. developed the concepts for the paper, designed and performed the experiments, and analyzed the results. N.S.P., S.S.O., and T.C. were involved with the kinome-wide siRNA screen. L.A.J. carried out the experiments with GFP mice and mouse colony management. M.J.F., A.K.P., M.P., J.Y.K., R.D.H., S.R.C., M.J.C., H.S., and N.P. performed, analyzed the results, or provided expertise with cell viability, gene expression studies, and bioinformatics analysis. S.R. and K.S. were involved with studies with folic acid-mediated AKI and provided expertise with renal SOX9 regulation. Y.B., R.R., and R.G. performed experiments or analyzed CDKL5 protein expression in cancer cell lines. N.S.P., M.J.F., and R.E.C. carried out histological analysis of kidney damage. D.S.G. was involved with the porcine model of AKI. S.D.B and A.S. provided reagents and expertise with pharmacology of kinase inhibitors. N.S.P. prepared the paper and all authors contributed to editing the paper.
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Kim, J.Y., Bai, Y., Jayne, L.A. et al. A kinome-wide screen identifies a CDKL5-SOX9 regulatory axis in epithelial cell death and kidney injury. Nat Commun 11, 1924 (2020). https://doi.org/10.1038/s41467-020-15638-6
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DOI: https://doi.org/10.1038/s41467-020-15638-6
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