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ABSTRACT Acute kidney injury is a major public health problem, which is commonly caused by renal ischemia and is associated with a high risk of mortality and long-term disability. Efforts to
develop a treatment for this condition have met with very limited success. We used an RNA interference screen to identify genes (_BCL2L14_, _BLOC1S2_, _C2ORF42_, _CPT1A_, _FBP1_, _GCNT3_,
_RHOB_, _SCIN_, _TACR1_, and _TNFAIP6_) whose suppression improves survival of kidney epithelial cells in _in vitro_ models of oxygen and glucose deprivation. Some of the genes also modulate
the toxicity of cisplatin, an anticancer agent whose use is currently limited by nephrotoxicity. Furthermore, pharmacological inhibition of _TACR1_ product NK1R was protective in a model of
mouse renal ischemia, attesting to the _in vivo_ relevance of our findings. These data shed new light on the mechanisms of stress response in mammalian cells, and open new avenues to reduce
the morbidity and mortality associated with renal injury. SIMILAR CONTENT BEING VIEWED BY OTHERS MICRORNA-MEDIATED ATTENUATION OF BRANCHED-CHAIN AMINO ACID CATABOLISM PROMOTES FERROPTOSIS
IN CHRONIC KIDNEY DISEASE Article Open access 28 November 2023 DISRUPTION OF PATHWAYS REGULATED BY INTEGRATOR COMPLEX IN GALLOWAY–MOWAT SYNDROME DUE TO _WDR73_ MUTATIONS Article Open access
08 March 2021 DICHLOROACETATE REDUCES CISPLATIN-INDUCED APOPTOSIS BY INHIBITING THE JNK/14-3-3/BAX/CASPASE-9 PATHWAY AND SUPPRESSING CASPASE-8 ACTIVATION VIA CFLIP IN MURINE TUBULAR CELLS
Article Open access 16 October 2024 MAIN Acute kidney injury (AKI), also known as acute renal failure, is an abrupt decrease in kidney function characterized by accumulation of creatinine
and urea in the blood. It is a global clinical problem with increasing incidence, dire consequences, unsatisfactory therapeutic options, and an enormous financial burden to societies
worldwide.1, 2 The reported prevalence of AKI varies from 1% to upward of 25% depending on the diagnostic criteria and the study population, with especially high incidence among the patients
of intensive care units.2, 3 The mortality of these patients may approach or even exceed 50%, and those that survive face prolonged hospitalization and significant increases in morbidity.3
Renal ischemia is the major cause of AKI4 and typically develops following a drop in blood flow to the kidney, causing hypoxia and nutrient deprivation within the affected organ. Although
most organs compensate for a reduction in oxygenation by increasing local blood flow, the hypoxic kidney does not increase perfusion,5 likely because blood does not simply provide
sustenance, but also serves as a substrate for energy-consuming renal filtration. Instead, hypoxic kidneys influence blood oxygen content by stimulating erythropoiesis via release of
erythropoietin.6 However, this process is relatively slow, making metabolically active kidney cells highly vulnerable to ischemia. The initial damage from ischemia is further amplified
during reperfusion. The ensuing inflammation creates an environment favorable for fibrosis, which, in turn, permanently attenuates renal function.7 Chronic kidney disease greatly increases
the incidence of new episodes of AKI, thus completing the vicious cycle of organ destruction.8 Patients undergoing cardiac surgery are known to be at a high risk for ischemic AKI,9 as are
the individuals suffering from sepsis,10 dehydration11 and many other conditions. Kidney ischemia is also a prominent factor for kidney transplant patients. In fact, the duration of ischemia
experienced by the transplanted kidney is a major predictor for transplant success or failure.12 The enormous public health significance has attracted considerable effort to the development
of strategies to prevent or reduce the damage from ischemic AKI.7, 13 Current treatment options are aimed at controlling known risk factors in highly susceptible populations or at
attempting to replace renal function in patients who have lost it due to injury.14 Despite major advances in our understanding of the pathology of ischemic injury, current therapies are
merely supportive. To the best of our knowledge, no available therapy has been definitively proven to effectively avert the damage to an ischemic kidney.4 This critical deficiency in the
arsenal of modern medicine prompted us to seek suitable pharmacologic targets, which could be exploited for such nephroprotection. We report here the identification of 10 genes, interference
with which protects immortalized renal proximal epithelial cells in an _in vitro_ model of ischemia. We also report that some of the genes may be involved in the response to other cytotoxic
stresses, and that chemical inhibition of the product of one of the genes reduces the extent of ischemic AKI in animals. RESULTS IDENTIFICATION OF SHRNAS THAT PROTECT KIDNEY EPITHELIAL
CELLS IN A MODEL OF ISCHEMIA Proximal tubule cells are particularly susceptible to ischemia.15 A very high metabolic rate is required for mediating ion transport, and these cells have a
severely limited capacity for anaerobic glycolysis.15 Importantly, these cells tend to accumulate toxic by-products of incomplete fatty acid oxygenation, and remain hypoxic for an extended
period of time, well after reperfusion.16 Our effort was inspired by the observations that the death of hypoxic kidney cells is an active process, both in the sense of metabolic
maladaptations that inflict the initial biochemical insult, and in the sense of mechanisms that recognize the damage and commit cellular pathways to cell death.7, 13, 17 This suggests a
possibility of nephroprotection via inhibition of certain cellular factors. RNA interference-based genetic approaches are well suited for discovering such factors.18 We used the
non-transformed proximal tubule epithelial cell line, HK-2,19 in conditions of low oxygen and glucose as an _in vitro_ model of AKI. HK-2 cells are commonly used to study the mechanisms of
cell death in renal epithelium.20 We screened a pooled lentiviral library containing ~80 000 shRNAs targeting ~16 000 human genes for enhanced survival under low-oxygen, low-glucose
conditions (designated as ‘ischemic’ for the purpose of this study), and chose 23 genes for further examination (Supplementary Figure 1; Supplementary Table 1). The tests confirmed that
individual interference with 10 of these genes confers robust protection in our _in vitro_ model (Figures 1a and d). More than a fivefold increase in the number of remaining cells was
achieved by shRNAs that were not a part of the originally screened pool, confirming that the phenomenon reflects the properties of the intended target genes, and not off-target effects of
individual shRNAs. The list of genes included: _BCL2L14_, _BLOC1S2_, _C2ORF42_, _CPT1A_, _FBP1_, _GCNT3_, _RHOB_, _SCIN_, _TACR1_, and _TNFAIP6_. We have tested the efficacy of target
suppression by several of the protective shRNAs, and have observed a significant reduction in the levels of expression of the respective genes (Supplementary Figure 2). Importantly, using
_RHOB_-targeting shRNAs as an example, we documented that the more efficient shRNAs also render better protection (Figure 1b). In order to exclude cell line specificity of our findings, we
repeated the assays using another human renal proximal tubular cell line, HKC-8,21 with the shRNAs that showed efficacy in HK-2 cells. All 10 tested shRNAs showed robust protection under the
selective conditions (Figure 1c). THE ROLE OF THE IDENTIFIED GENES IN KIDNEY CELL RESPONSE TO CISPLATIN In addition to ischemia, AKI can result from exposure to toxins, including various
therapeutic agents. For example, renal toxicity of cisplatin limits dose escalation for this anticancer compound, prevents the use of this drug in patients with compromised renal function,
and may lead to chronic kidney disease in the treated population.22 We investigated whether any of the identified genes may affect the response of kidney epithelial cells to cisplatin.
Interference with _BCL2L14_, _RHOB_ and _C2ORF42_ provided robust protection in HK-2 and HKC-8 cells (Figures 2a and b), whereas interference with _TNFAIP6_ yields very strong protection in
HKC-8 cells only (Figure 2b), indicating that the mechanisms of drug response are not identical between the cell lines. This is also evident from the difference in cisplatin tolerance
between the two parental cell lines (Figures 2a and b). Although normal kidney epithelium is highly sensitive to cisplatin, clear-cell renal cell carcinoma is notoriously unresponsive to
conventional chemotherapy. Interestingly, this remarkable change from drug sensitivity to resistance during tumor evolution is paralleled by the loss of _C2ORF42_ expression (Figures 2c and
d).23, 24 PROTECTIVE EFFECTS OF NK1R INHIBITION _IN VITRO_ AND _IN VIVO_ Among the identified genes, the product of _TACR1_ (neurokinin 1 receptor, NK1R) is inhibited by a number of
well-characterized drugs, some of which are used clinically. We hypothesized that those compounds would recapitulate the effects of _TACR1_ shRNA on ischemia tolerance. Indeed, NK1R
antagonists, L-733,060 and Aprepitant, conferred resistance to ischemia in both HK-2 and HKC-8 cells (Figures 3a and d) at concentrations that had minimal effect on the survival of normoxic
cells (Supplementary Figures 3a and d). Furthermore, significant protection was achieved by knockdown of _TAC1_, which encodes for a known NK1R ligand, substance P (Supplementary Figure 4a).
We further evaluated the consequences of NK1R inhibition in an _in vivo_ model of acute renal ischemia. Mice pretreated with 30 mg/kg or 90 mg/kg of L-733,060 or the respective vehicle were
subjected to transient ischemia on both kidneys. After 24 h of reperfusion, measurement of blood-based markers of AKI revealed a dose-dependent protection by NK1R inhibition (Figure 4).
Levels of creatinine and blood urea nitrogen were significantly (_P_<0.05, Mann–Whitney test) reduced by either dose of the compound (Figures 4a and b), whereas the levels of neutrophil
gelatinase-associated lipocalin and osteopontin were significantly reduced by a higher dose (_P_<0.05). The same trend appeared at the lower dose, albeit without reaching statistical
significance (Figures 4c and d). INTERFERENCE WITH _RHOB_ AND _C2ORF42_ INCREASES THE ANTI-APOPTOTIC EFFECT OF APREPITANT It is clear that multiple processes contribute to cell death during
AKI, and simultaneous targeting of multiple pathways may be needed for maximal protection.13 To this end, we investigated whether interference with any of the confirmed mediators of ischemic
death could further improve the peak protection, which is rendered by chemical inhibition of NK1R. Indeed, we observed that interference with _C2ORF42_ or _RHOB_ consistently increased the
maximal efficacy of the drugs (Figures 5a and b; Supplementary Figure 5). Apoptosis is reported to be the predominant mode of cell death in response to ischemia.15 Accordingly, we observed
that the degree of protection from ischemia correlates well with a reduction in caspase activity in these treatment groups (Figure 5c). DISCUSSION A decade ago it was argued that an
effective approach to limit or prevent ischemic renal injury in humans remains elusive, primarily because of an incomplete understanding of the mechanisms of cellular injury.25 Although
molecular nephrology continues to progress, mechanisms that may protect ischemic tubular epithelial cells remain poorly understood. The matter is complicated by the fact that the known cell
programs, which improve survival in hypoxia (e.g., the hypoxia-inducible factor-1 (HIF-1)-mediated switch from oxidative phosphorylation toward glycolysis) or hypoglycemia (e.g., the switch
from glucose to lipid oxidation), become maladaptive when these conditions coincide. Indeed, HIF-1 may also become pro-apoptotic,26, 27 and the toxic products of partial lipid metabolism
contribute to ischemic injury.28 It is known that reperfusion amplifies the initial injury. This secondary damage ensues from inflammation, and the release of molecules such as osteopontin
by injured cells may serve to attract the immune system.29 Subsequent fibrosis may preserve overall organ integrity, but diminish its function. Again, HIF-1 activity may be maladaptive at
this stage, contributing to inflammation, tubular atrophy, and fibrosis.30 Importantly, it is likely that avoiding the initial damage to epithelial cells would also prevent damage following
reperfusion. An additional reason for targeting primary rather than secondary damage in renal ischemia is that mechanisms of ischemic cell death appear conserved, whereas the particulars of
reperfusion injury and the modes of its aversion differ between species16 and even within species,31 which limits inferences from animal models. The recognition of large cohorts of
individuals at risk for AKI stimulates the push for treatments that would prevent the injury, rather than mitigate its consequences. Multiple promising strategies, too numerous to be listed
here, are aimed at averting AKI by rational metabolic or immune interventions, but have proven to be ineffective or unacceptably toxic in pre-clinical models and clinical trials.13, 32
Undoubtedly, many new approaches are still at various stages of pre-clinical development, but we are unaware of any of them that have successfully crossed the threshold of clinical testing.
Similarly, a large number of targeted strategies intended to mitigate the consequence of ischemia in transplant patients have yielded controversial or negative results.30 Of note, the
earlier attempts at nephroprotection focused on a handful of molecules and pathways, which have been extensively characterized in prior research. In contrast, we undertook an unbiased
approach, as we screened a genome-wide shRNA library. Screening such a complex library is vulnerable to stochastic experimental ‘noise’ and various well-recognized artifacts of shRNA
technology.18, 33 Thus, it is imperative to validate any candidate genes by additional tests using either individual shRNAs or alternative approaches, for example, chemical inhibitors. We
have validated the effect for 10 out of 23 candidate genes. We cannot conclude that the 13 non-validated genes are irrelevant to ischemic response: the negative results could have ensued
from insufficient efficacy of the particular shRNAs, or from adverse off-target effects of these shRNAs that outweighed the protective action. Also, our stringent threshold (fivefold
increase in cell number over unprotected control) might have excluded relevant genes with weaker effects. In addition, many relevant genes may have been missed during the initial screening,
for example, due to insufficient potency or off-target toxicity of the corresponding shRNAs. Furthermore, the discovery of genes, whose products may be nephroprotective upon upregulation,
would require an entirely different set of tools. Nevertheless, the discovery of the 10 modulators of nephrotoxicity provides a starting point for elucidating the relevant pathways using
conventional biochemical and genetic approaches. The identified modulators of nephrotoxicity differ in the biochemical properties of their products and in how well they have been
characterized. To further complicate matters, information about their function comes from different cell systems, whereas the specifics of hypoxic cell death may differ even between closely
related cell types.34 Among these genes, _TACR1_ is notable due to the availability of clinically useful inhibitors of its product. Although much more work is needed to confirm clinical
utility of these agents against AKI, our _in vivo_ observations are encouraging. These results also indicate that our _in vitro_ system is capable of producing information relevant to renal
ischemia in a whole-organism context. Inhibition of NK1R has been proposed as an avenue of ischemia protection for brain and heart,35, 36 but was viewed as a way of preventing secondary
damage from edema and other complications of reperfusion. In contrast, our _in vitro_ findings demonstrate that this intervention, at least in the context of kidney epithelial cells,
prevents primary damage in the absence of additional cell types. Accordingly, a combination of NK1R and its ligand was reported to kill human neurons and embryonic kidney cells.37 Unlike our
system (Figure 5c), the reported mode of death was non-apoptotic.37 However, the choice between apoptotic and non-apoptotic programs may be decided by the availability of various cellular
factors after the cell has committed to dying.38 Although the precise nature of the death-promoting ligand has yet to be elucidated, the fact that HK-2 cells are protected by an shRNA
targeting _TAC1_ (Supplementary Figure 4a) suggests that a product of that gene (e.g., substance P) might be involved in triggering cell death. A relatively small protective effect of _TAC1_
knockdown could be explained by insufficient potency of the shRNA, by the presence of cells in which the shRNA expression construct is aberrant or poorly expressed (such cells would still
secrete substance P and affect their neighbors), or by the existence of other pro-apoptotic NK1R ligands. Interestingly, the naked mole rat, which is adapted to hypoxic environments, has
extremely low levels of substance P.39 Intriguingly, we observed that interference with _TACR1_ affects _GCNT3_ expression (Supplementary Figure 4b). As _GCNT3_ inhibition is also
protective, it is possible that _TACR1_-dependent induction of GCNT3 contributes to ischemic cell death. Importantly, _GCNT3_-deficient mice are viable and fertile, despite some defects in
immune functions.40 Thus, transient inhibition of _GCNT3_ is likely to be well tolerated. At this time the mechanism of involvement of TACR1 and GCNT3 in ischemic cell death is unknown.
TNF-related apoptosis-inducing ligand (TRAIL) expression is de-repressed by hypoxia, at least, in some cells,41 and there is evidence that cell death in an ischemic kidney depends on TRAIL
signaling.42 We can also speculate that _N_-acetylglucosaminyltransferase GCNT3 contributes to the glycosylation of TRAIL receptors, which is critical for their function.43, 44 In addition,
substance P stimulates p21-activated kinase,45 which is a known regulator of the mitogen-activated protein kinases (MAPK) cascade.46 In turn, MAPKs, at least in some cases, may sensitize
cells to TRAIL-induced apoptosis.47 We believe that the hypothetical connection between TACR1 and TRAIL-mediated cell death is worth exploring, because the likely intermediaries include
multiple drug-able proteins. Another gene identified in our study, _FBP1_, encodes a metabolic enzyme, inhibition of which may lead to more efficient utilization of limited resources.48 A
recently reported role of FBP1 in the control of gene expression49 may also have a role in this process. _CPT1A_ also encodes a metabolic enzyme. Its product contributes to fatty acid
oxidation, and its inhibition may be ‘decreasing the oxygen cost of adenosine triphosphate production’,50 as well as preventing the accumulation of toxic, partially oxidized products.
Manipulation of CPT enzymes has been considered as a potential therapeutic strategy for treating various diseases, but this is complicated by distinct roles of CPT isoforms as well as the
questionable specificity of available inhibitors.51 The product of the _BLOC1S2_ gene was first described as a protein with a role in biogenesis of lysosome-related organelles, but later
research suggested that it is needed for efficient execution of apoptosis in glioblastoma cells.52 _SCIN_ encodes a calcium-dependent actin filament-severing protein known to have a role in
exocytosis.53 It acts as a pro-apoptotic protein in megakaryocyte leukemia.54 _TNFAIP6_ is inducible by proinflammatory cytokines, such as tumor necrosis factor-_α_,55 which is a known
sensitizer to AKI and a possible target for nephroprotection.56 Among other roles, _TNFAIP6_ modulates the interaction between hyaluronan and CD44,57 both of which are proposed targets for
nephroprotection.58, 59 Importantly, interference with TNFAIP6 reduces epithelial-to-mesenchymal transition in kidney epithelial cells.60 In conjunction with our findings, this suggests that
anti-TNFAIP6 therapy might prevent both the initial damage during ischemia and post-reperfusion fibrosis. RhoB is a member of the Rho GTP-binding protein family. Its downregulation has been
implicated in resistance of some cancer cells to cisplatin.61 RhoB is activated by a variety of stress signals.62 In particular, RhoB is activated within minutes of hypoxia in a
glioblastoma cell line,63 and differential regulation of the _RHOB_ gene was implicated as a mechanism of uncommon tolerance to hypoxia in a subterranean rodent.64 Intriguingly, RhoB
controls intracellular trafficking,62 a process that is reportedly affected by other genes identified in our screen (_BCL2L14_, _SCIN_ and _BLOC1S2_), and failure to traffic respective
receptors is a mechanism of resistance to death-promoting cytokines, including TRAIL.65, 66 B-cell lymphoma-G (Bcl-G), encoded by _BCL2L14_ gene, has been characterized as a pro-apoptotic
Bcl-2 family member.67 This model has been challenged recently by the observation that _BCL214_-deficient dendritic cells are sensitive to apoptosis.68 Although this might reflect different
roles for this protein in different cells and in response to different stressors, there are clues linking Bcl-G with vesicle transport.68, 69 Of note, Bcl-G regulator FAU has been under
intense selection in hypoxia-adapted mole rats.70 _C2ORF42_ is the least studied gene on our list. It is conserved between mammals and arthropods. Its product reportedly associates with a
mediator of the cell stress response, PAXIP1, and a Rho GTPase regulator, epithelial cell transforming 2 (ECT2),71 but its biochemical function is unknown. Considering our findings, we
propose to name the gene Regulator of Ischemia and Stress Tolerance 1 (RIST1). In addition to ischemia, exposure to toxins is an important cause of AKI. Nephrotoxicity remains a major side
effect of many pharmaceuticals, and patients with chronic kidney disease are especially at risk. Cisplatin is an example of a highly effective drug, for which nephrotoxicity is dose
limiting.72 The status of at least three of the identified genes (_RHOB_, _BCL2L14_, and _RIST1_) strongly affects the response of renal epithelial cell lines to this drug. RhoB has already
been implicated in response to DNA damage in other contexts,61 whereas Bcl-G may be a mediator of the drug-sensitizing functions of its regulator, FAU.73 Intriguingly, the alleged
RIST1-interacting partner, ECT2, also activates RhoB following DNA damage,74 which may explain similar outcomes of targeting _RIST1_ and _RHOB_ in our assays. The hypothesis that _RIST1_,
_RHOB_ and _ECT2_ belong to the same biological pathway is further supported by the fact that interference with _ECT2_ has an ischemia-protective effect similar to that of _RHOB_ and _RIST1_
(Supplementary Figure 6). Overall, our findings encourage inquiries into whether interfering with _RHOB_, _BCL2L14_, and _RIST1_ and their partners could protect against cisplatin-induced
nephrotoxicity without compromising the anti-tumor effect of this drug, and whether these genes have a wider role in on- and off-target toxicity of various pharmaceuticals. As resistance to
hypoxia is a key step in cancer evolution, the mediators of ischemic cell death reported here may have a role in tumorigenesis and tumor resistance to therapy. For example, the common
reduction in _RIST1_ expression in renal cancer (Figures 2c and d) might offer an explanation for the remarkable resistance of this disease to conventional chemotherapy. Also, the loss of
FBP1 has been recently established as an oncogenic event in renal cancer.49 However, a possible involvement of these genes in cancer is not necessarily incompatible with the development of
strategies for nephroprotection based on their inhibition. First, any protective mechanism may depend on the state of metabolism, cell proliferation, and other traits that distinguish a
normal cell from a cancerous one. Indeed, _TACR1_ inhibitors were discussed as possible anticancer agents.75 Second, it has been argued that death signaling is commonly impaired in
malignancies, so protection of normal cells through targeting of these same pathways may not affect the efficacy of treatment, at least, for some cancers.76 Third, an acute nephroprotective
intervention may be too short to sustain tumor growth. In fact, there are examples of experimental drugs that protect normal cells from temporary stresses by inhibiting tumor suppressors
without long-term oncogenic consequences.77 Similar approaches for nephroprotection have yielded promising early results.78 The differential effects on cisplatin resistance, as well as the
differences in the ability to enhance the effect of NK1R inhibitors argue that the identified genes affect multiple pathways of cell death. In addition to achieving maximal protection by a
combination therapy, an ability to influence the outcome through several distinct mechanisms provides more options to balance benefits and risks for a given patient. These considerations
support further investigation of multiple pathways, elements of which have been uncovered in the current study. MATERIALS AND METHODS CELL CULTURE AND VIRAL TRANSDUCTION HK-2 cells19 were
grown in keratinocyte serum-free medium (Life Technologies, Grand Island, NY, USA), supplemented with 10% fetal bovine serum (Atlanta Biologicals, Norcross, GA, USA), 5 ng/ml epidermal
growth factor (Life Technologies), and 100 U/ml penicillin/streptomycin (Life Technologies). HKC-821 were maintained in Dulbecco’s modified Eagle's medium (Life Technologies)
supplemented with 10% fetal bovine serum and 100 U/ml penicillin/streptomycin. Viral transduction was performed as described.79 _IN VITRO_ HYPOXIA TREATMENT The cells were subjected to
low-glucose medium (Life Technologies) and 0.2% hypoxia for 48 h in a Biospherix Xvivo system (Lacona, NY, USA). Following treatment, the cells were fixed, their numbers were assessed using
methylene blue staining and the extraction method,80 and the values were calculated as percentage of cell number in parallel normoxic cultures. The values for the cultures transduced with
various constructs were normalized for the values corresponding to the parental cells. The individual shRNA sequences and their relative effects on HK-2 cells are shown in Supplementary
Figure 2. CISPLATIN TREATMENT Kidney epithelial cells expressing candidate shRNAs and the respective controls were exposed to cisplatin (Sigma-Aldrich, St. Louis, MO, USA) at various
concentrations (0, 0.1, 0.2, 0.4, 0.8, 1.6, 3.2, 6.4, 12.8, and 25.6 _μ_M) in triplicates for 48 h. Subsequently, the cells were washed and cultured in fresh medium for an additional 3 days.
At that time, the cells were fixed, and their numbers were assessed using methylene blue staining and the extraction method.80 The values were calculated as percentage of untreated cell
number, and the IC50 values were computed using GraphPad Prizm 6 (GraphPad Software, Inc., La Jolla, CA, USA). _IN VITRO_ TREATMENT WITH NK1R ANTAGONISTS The cells were treated with various
concentrations of L-733,060 (Tocris, Bristol, UK) and Aprepitant (Selleck Chemicals, Houston, TX, USA) for 1 h before being subjected to hypoxia treatment as described above. QUANTITATIVE
RT-PCR The transcripts were detected using quantitative real-time RT-PCR using _GAPDH_ as an endogenous control. The nucleotide sequences were: _RHOB_ 5′-ACATTGAGGTGGACGGCAAGCA-3′ and
5′-CTGTCCACCGAGAAGCACATGA-3′; _BCL2L14_ 5′-GTAACTGAGGGTCTCTCCTTCC-3′ and 5′-GGAATGGGGATGAAGGCAGTGT-3′; _SCIN_ 5′-GCAGAGTATGTAGCAAGTGTCCT-3′ and 5′-GTAAAGCCGAGGTGGATGGTCT-3′; _TACR1_
5′-GCCTGTTCTACTGGAAGTCCAC-3 and 5′-CACAGATGACCACTTTGGTGGC-3′; _GCNT3_ 5′-CACCAGAGACTGTGAGCACTTC-3′ and 5′-CATACACAGCTCGCAGTAGCCT-3′ _ECT2_ 5′-GCAGTCAGCAAGGTGGCAAGTT-3′ and
5′-CTCTGGTGCAAGGATAGGTCCA-3′; _GAPDH_ 5′-GTCTCCTCTGACTTCAACGCG-3′ and 5′-ACCACCCTGTTGCTGTAGCAA. RNA was isolated using the RNeasy, RT kit (Qiagen, Germantown, MD, USA). Complementary DNA was
synthesized using SuperScript III (Life Technologies). PCRs were performed using an ABI Prism 7900 Sequence Detection System (Waltham, MA, USA) and IQ SYBR Green SuperMix (Bio-Rad,
Hercules, CA, USA). The thermal cycling conditions comprised 2 min at 50 °C, 10 min at 90 °C, and 1 min at 60 °C for 40 cycles. Data were analyzed using RQ Manager 1.2.1 (ABI). _IN VIVO_
MODEL OF ISCHEMIA The work was approved by the Committee for Animal Experiments of Basel (TierversuchsKommission von BaselStadt). C57BL/6 mice were pretreated with various doses of _TACR1_
inhibitor or the corresponding vehicle. After 30 min, mice were anesthetized (with ketamine/rompun). Both kidneys were exposed through flank incisions and kidney pedicles were clamped with
atraumatic clamps while the mice were kept at 36 °C. The clamps were removed after 25 min, and the wounds were closed in two layers. After 24 h, blood samples were assayed for the markers of
kidney injury. CASPASE ACTIVITY ASSAY Apo-ONE Homogeneous Caspase-3/7 Assay (Promega, Madison, WI, USA) was applied to HK-2 cell lysates as per the manufacturer’s protocol. ABBREVIATIONS *
AKI: acute kidney injury * shRNA: short hairpin ribonucleic acid * BCL2L14: B-cell lymphoma 2-like 14 * BLOC1S2: Biogenesis of lysosomal organelles complex-1, subunit 2 * C2ORF42: Chromosome
2, open-reading frame 42 * CPT1A: Carnitine palmitoyltransferase 1A * FBP1: Fructose-1,6-bisphosphatase 1 * GCNT3: Glucosaminyl (_N_-acetyl) transferase 3 * RHOB: Ras homolog family member
B * SCIN: Scinderin * TACR1: Tachykinin receptor 1 * TNFAIP6: Tumor necrosis factor, alpha-induced protein 6 * NK1R: neurokinin 1 receptor * TAC1: Tachykinin, precursor 1 * HIF-1:
hypoxia-inducible factor-1 * TRAIL: TNF-related apoptosis-inducing ligand * MAPK: Mitogen-activated protein kinases * CD44: cluster of differentiation 44 * GTP: guanosine-5′-triphosphate *
BCL-G: B-cell lymphoma-G * FAU: Finkel-Biskis-Reilly murine sarcoma virus ubiquitously expressed * PAXIP1: Paired box 1 interacting (with transcription-activation domain) protein 1 * ECT2:
Epithelial cell transforming 2 * RIST1: Regulator of ischemia and stress tolerance 1 * RT-PCR: Reverse transcription PCR REFERENCES * Devarajan P . Update on mechanisms of ischemic acute
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ACKNOWLEDGEMENTS The study was supported in part by the Roswell Park Alliance Foundation. We thank Dr A Chenchik and Dr M Makhanov for their assistance in analyzing the results of the shRNA
screening, and Dr W Burhans for his help in preparing the manuscript. This study was supported in part by funds from F. Hoffmann-La Roche AG. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS *
Department of Cell Stress Biology, Roswell Park Cancer Institute, Elm and Carlton Streets, Buffalo, 14263, NY, USA E R Zynda & E S Kandel * Department of Cardiovascular and Metabolic
Discovery, F. Hoffmann-La Roche Ltd, , Bau 70/307, Basel, CH4070, Switzerland B Schott, S Gruener & E Wernher * Department of Pharmaceutical Sciences, Translational Technologies and
Bioinformatics, F. Hoffmann-La Roche Ltd, Basel, Bau 70/307, CH4070, Switzerland G D Nguyen & M Ebeling Authors * E R Zynda View author publications You can also search for this author
inPubMed Google Scholar * B Schott View author publications You can also search for this author inPubMed Google Scholar * S Gruener View author publications You can also search for this
author inPubMed Google Scholar * E Wernher View author publications You can also search for this author inPubMed Google Scholar * G D Nguyen View author publications You can also search for
this author inPubMed Google Scholar * M Ebeling View author publications You can also search for this author inPubMed Google Scholar * E S Kandel View author publications You can also search
for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to E S Kandel. ETHICS DECLARATIONS COMPETING INTERESTS BS, SG, EW, GDN and ME are employees of F. Hoffmann-La
Roche AG. The remaining authors declare no conflict of interest. ADDITIONAL INFORMATION Edited by G Melino Supplementary Information accompanies this paper on Cell Death and Differentiation
website SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION (PDF 544 KB) RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Zynda, E., Schott, B., Gruener,
S. _et al._ An RNA interference screen identifies new avenues for nephroprotection. _Cell Death Differ_ 23, 608–615 (2016). https://doi.org/10.1038/cdd.2015.128 Download citation * Received:
18 May 2015 * Revised: 03 August 2015 * Accepted: 20 August 2015 * Published: 13 November 2015 * Issue Date: April 2016 * DOI: https://doi.org/10.1038/cdd.2015.128 SHARE THIS ARTICLE Anyone
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