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J Clin Invest. Nov 1, 2010; 120(11): 4040–4054.
Published online Oct 18, 2010. doi:  10.1172/JCI43025
PMCID: PMC2964979

Epithelial Notch signaling regulates interstitial fibrosis development in the kidneys of mice and humans


Chronic kidney disease is a leading cause of death in the United States. Tubulointerstitial fibrosis (TIF) is considered the final common pathway leading to end-stage renal disease (ESRD). Here, we used pharmacologic, genetic, in vivo, and in vitro experiments to show that activation of the Notch pathway in tubular epithelial cells (TECs) in patients and in mouse models of TIF plays a role in TIF development. Expression of Notch in renal TECs was found to be both necessary and sufficient for TIF development. Genetic deletion of the Notch pathway in TECs reduced renal fibrosis. Consistent with this, TEC-specific expression of active Notch1 caused rapid development of TIF. Pharmacologic inhibition of Notch activation using a γ-secretase inhibitor ameliorated TIF. In summary, our experiments establish that epithelial injury and Notch signaling play key roles in fibrosis development and indicate that Notch blockade may be a therapeutic strategy to reduce fibrosis and ESRD development.


In the United States, 20 million people have chronic kidney disease (CKD), the ninth leading cause of death in the country (1). Tubulo­interstitial fibrosis (TIF) is uniformly observed and considered the final common pathway for end-stage renal disease (ESRD; ref. 2). Interstitial fibrosis develops in the kidney as a primary lesion or secondary to glomerulosclerosis (3). Recent epidemiologic data suggest that patients who had an episode of acute kidney injury (AKI) are also at greater risk for CKD and TIF development later in life (4). The cellular mechanism of TIF is still not well understood. In kidneys with TIF, the cortical interstitium is massively expanded, and fibroblasts acquire myofibroblast phenotype: they express α-SMA (encoded by Acta2) and have increased capacity for production of collagen fibrils and matrix. Fate-mapping studies and double-immunostaining experiments performed in the late 1990s showed that tubular epithelial cells (TECs) can transdifferentiate into mesenchymal fibroblasts via the process of epithelial mesenchymal transdifferentiation (EMT) giving rise to myofibroblasts and TIF development (5). The role of EMT in TIF development is also supported by a wealth of in vitro experiments, in which it was shown that treatment of TECs with TGF-β leads to loss of epithelial markers (e.g., Cdh1 and Tjp1) and acquisition of myofibroblast markers (e.g., Acta2 and Vim). Transgenic expression of Snail1 — a key transcriptional regulator of EMT — in TECs induces TIF in mice (6). Moreover, TEC-specific deletion of hypoxia inducible factor 1 (Hif1) blocked EMT and effectively ameliorated development of fibrosis in rodent models of TIF (7), in support of the notion that epithelial cell transdifferentiation plays a key role in TIF. However, recently performed lineage tagging experiments failed to confirm the epithelial origin of myofibroblasts, but rather indicated that specific interstitial cells (also referred to as pericytes) proliferate and become activated myofibroblasts causing TIF (8, 9).

The Notch signaling pathway consists of several receptors, Notch1–Notch4, and their ligands, Delta and Jagged (Jag). Activation of the pathway usually occurs via expression of the ligand in a signal-giving cell. Upon interaction with the ligand, Notch undergoes a series of proteolytic cleavages in the signal-receiving cell. Finally, the cytoplasmic domain, referred to as the Notch intracellular domain, translocates to the nucleus, where it induces target genes such as the basic helix-loop-helix proteins Hes and Hey (10). The major biological role of Notch signaling is to control the developmental fates of cells and to make cells different from one another. Therefore, cells become distinguished from one another according to whether they predominantly send or receive Notch signals. In some cases, but not all, this is easily explained by exclusive distribution of ligand and receptor.

The Notch pathway plays a complex role orchestrating kidney development (11). In the absence of Notch signaling, the metanephric mesenchyme leads to properly formed distal tubules, but complete absence of glomerular ECs and proximal TECs (11, 12). Once development is complete, very little Notch activity can be observed in the kidney. Immunohistochemistry studies indicate almost complete absence of active Notch1 and Notch2 in human or rodent glomeruli (13, 14). Gene expression studies performed in our and other laboratories indicate increased expression of Notch receptors and ligands in different glomerular diseases (13, 15). Transgenic expression of cleaved Notch1 fragment in vivo in podocytes caused severe albuminuria and glomerulosclerosis in animals. Genetic deletion or pharmacological inhibition of Notch signaling — specifically in podocytes — protected mice from albuminuria and glomerular injury (13, 16), which indicates that podocyte Notch expression plays a critical role in glomerulosclerosis development. Increased expression of the Notch ligand Jag1 has recently been described in the tubulointerstitial compartment of chronic renal disease samples (15) and in a mouse model of TIF (17). However, the functional role of the Notch pathway in TIF development has not yet been studied.

In the current study, we performed pharmacological, genetic, in vivo, and in vitro experiments to define the role of the Notch pathway in renal tubules during chronic TIF. We found that pharmacological inhibition or genetic deletion of the Notch pathway substantially reduced TIF in rodent models. In vivo expression of Notch1 in TECs was sufficient to induce severe TIF. In vitro Notch activation was associated with epithelial to mesenchymal transition of cultured TECs. Studies using in vivo genetic overexpression of Notch1 indicated that Notch likely plays role in TIF development via controlling cell proliferation.


Increased Jag1/Notch1/HeyL expression in a folic acid–induced kidney injury model and in kidneys of TIF/CKD patients.

First, we analyzed Notch pathway–related gene expression in the folic acid–induced (FA-induced) TIF model. FA precipitates in the renal tubules, inducing acute renal failure, which was evident in our experiments by increased serum creatinine levels (see below). The AKI was followed by TIF development, evident as early as 7 days after FA injection (18, 19). Transcript levels of Notch1, Notch2, and Notch3 significantly increased following FA administration (Figure (Figure1A).1A). Of the different Notch ligands, Jag1 showed the most significant increase (Figure (Figure1A).1A). The Notch target gene Hes1 showed early and very modest upregulation after injury, whereas upregulation of HeyL was robust and sustained (Figure (Figure1A). 1A).

Figure 1
Increased expression of Notch pathway in kidneys of mouse models of TIF and patients with TIF.

We also confirmed the activation of Notch signaling in kidneys by using an antibody specific for the cleaved Notch1 fragment (Figure (Figure1B1B and Supplemental Figure 1; supplemental material available online with this article; doi: 10.1172/JCI43025DS1). Few TECs labeled positive in healthy murine kidneys, whereas expression of cleaved Notch1 was markedly increased in FA-induced kidney injury (Figure (Figure1B).1B). At 1 week after FA injury, cleaved Notch1 expression was observed in both renal TECs and interstitial cells. We also detected a significant increase in Jag1 expression, mainly in the basal aspect of proximal TECs (Figure (Figure1C).1C). Our results are indicative of Notch pathway activation in the FA-induced kidney injury model.

Next, we examined the expression of NOTCH1 in human kidney samples. Very few TECs labeled positive with the cleaved NOTCH1 antibody in control kidneys. However, there was an increase in cleaved NOTCH1–positive TECs in samples obtained from patients with marked TIF (Figure (Figure1D).1D). We also observed a significant increase in JAG1 expression in kidney biopsy samples of human subjects with TIF (Figure (Figure1E).1E). These results indicate increased JAG1/NOTCH1 expressions in the kidneys of patients with TIF/CKD.

γ-Secretase inhibitors do not alter serum creatinine decline after AKI, but ameliorate TIF.

To determine whether Notch signaling plays a functional role in AKI and fibrosis, we treated mice with γ-secretase inhibitor XX (GSIXX, referred to herein as DBZ), a pharmacological inhibitor of Notch activation (13). Injection of DBZ (500 μg/100 g/d) was started on day 0 prior to FA treatment. DBZ successfully blocked Notch activation, as reflected by complete inhibition of Hes1 and HeyL increase following FA injection (Figure (Figure2A).2A). There was no statistical difference in serum creatinine levels of DBZ- and sham-injected animals on days 1, 3, and 7 after FA injection (Figure (Figure2B).2B). DBZ did not significantly influence the number of TUNEL-positive cells in the kidney (Figure (Figure2C)2C) or the expression of apoptosis-related transcripts, including Trp53, Apaf1, and Bax (Figure (Figure2D).2D). Similarly, tubular damage score, analyzed using the semiquantitative Hamar system, was not influenced by DBZ (Supplemental Figure 2). These results indicate that inhibition of the Notch pathway did not blunt the FA-induced initial renal damage or the normalization of serum creatinine (as a marker of renal recovery).

Figure 2
DBZ blocks Notch signaling without altering initial kidney injury and apoptosis.

Upon analyzing the FA-induced histological changes, we found that the degree of TIF was significantly less in DBZ-treated animals (Figure (Figure3D3D and Supplemental Figure 3). In conjunction, transcript levels of fibrosis markers, including collagen 1a1 (Col1a1), collagen 3a1 (Col3a1), fibronectin (Fn1), and vimentin (Vim), were significantly reduced in animals treated with DBZ (Figure (Figure3A).3A). We did not find statistical differences in the expression of inflammatory markers Cd68 and Emr1 (formerly known as F4/80) (Figure (Figure3C).3C). There was a significant decrease in myo­fibroblast marker Acta2 at the mRNA and protein level when Notch signaling was inhibited (Figure (Figure3B),3B), which indicates that Notch signaling plays a role in fibrosis development.

Figure 3
Pharmacological inhibition of Notch signaling ameliorates FA-induced TIF.

To further characterize the effect of DBZ specifically on the development of TIF, we used another established TIF model, induced by unilateral ureteral obstruction (UUO). We found significantly increased transcript levels of Notch1, Jag1, Hes1, and HeyL in this model (17), which were observed on day 4 and sustained on consecutive days (Figure (Figure4A).4A). Daily injection of DBZ significantly reduced expression of the Notch target gene HeyL (Figure (Figure4C).4C). Upon histological examination, we observed substantially less severe fibrosis in DBZ-injected animals compared with sham-treated UUO mice 7 days after UUO operation (Figure (Figure4B).4B). Similarly, transcript levels of Col1a1, Fn1, and Acta2 were significantly attenuated in mice treated with DBZ (Figure (Figure4C).4C). Our results indicate that pharmacological inhibition of Notch signaling using DBZ significantly attenuated TIF in 2 separate mouse models of TIF.

Figure 4
Pharmacological inhibition of Notch signaling ameliorates UUO-induced TIF.

TEC-specific Rbpj deletion ameliorates TIF.

In the FA-induced AKI model, we observed activation of the Notch pathway in both TECs and interstitial cells (Figure (Figure1B).1B). To better understand the implications of TEC Notch signaling in TIF, we generated mice with TEC-specific deletion of Notch signaling using the well-characterized Rbpjfl/fl and PEPCKCre mice (7, 20, 21). The expression of Cre was limited to TECs in this transgenic strain, as confirmed by reporter mouse line analysis (Supplemental Figure 4). PEPCKCreRbpjfl/fl mice were born at the expected Mendelian frequency, and we did not observe any renal histological or functional abnormalities in the animals (Figure (Figure5B).5B). On a whole kidney homogenate level, we observed an approximately 60% reduction in Rbpj mRNA in the PEPCKCreRbpjfl/fl mice (Figure (Figure5A),5A), indicative of successful generation of conditional knockout animals. Renal injury was induced by FA injection in 10-week-old male mice. Wild-type mice showed increased expression of HeyL, whereas this response was attenuated in the Rbpj knockout animals (Figure (Figure5A).5A). At 7 days after FA injection, we observed marked TIF in wild-type animals, which was substantially reduced in the PEPCKCreRbpjfl/fl animals (Figure (Figure5B).5B). Likewise, transcript levels of Col1a1, Vim, and Acta2 in the PEPCKCreRbpjfl/fl animals were significantly lower compared with FA-treated wild-type animals, and not significantly different from controls (Figure (Figure5C).5C). In summary, canonical (i.e., Rbpj-dependent) Notch signaling appears to be dispensable at baseline in renal TECs; however, our findings suggest that increased TEC Notch signaling following injury plays a key role in TIF development.

Figure 5
Diminished TIF following FA injection in tubule-specific Rbpj knockout mice.

Conditional expression of cleaved Notch1 in vivo in TECs causes TIF.

As our observations indicated that Notch activation in TEC is necessary for TIF development, we sought to determine whether Notch activation in TECs alone is sufficient to induce TIF. Therefore, we generated mice with conditional inducible expression of cleaved Notch1 in mature TECs by intercrossing 2 already validated mouse strains: Pax8rtTA animals (22) and tetO-ICN1 mice (23). Wild-type, single-transgenic Pax8rtTA and tetO-ICN1, and double-transgenic Pax8rtTA/ICNotch1 animals were fed doxycycline-containing food beginning at 4 weeks of age. Pax8rtTA/ICNotch1 animals died at about 5 weeks after the initiation of doxycycline-containing food. Animals were sacrificed 4 weeks after induction for the analysis, because they appeared sick. Quantitative RT-PCR (QRT-PCR) analysis showed increased expression of Notch target genes Hes1, Hey1, and HeyL (Figure (Figure6A),6A), indicating the successful expression of the transgene. Histological analysis of the kidneys showed severe tubular degeneration, dilatation, and interstitial fibrosis (Figure (Figure6B).6B). The phenotype was similar to TIF observed in human kidneys in the context of CKD. Expression of Fn1, Col1a1, Col3a1, Col4a1, Vim, and Acta2 markedly increased in Pax8rtTA/ICNotch1 animals, and we also observed increased expression of the inflammatory cell markers Emr1 and Cd68 in these mice (Figure (Figure6C).6C). These results indicate that expression of cleaved Notch1 in vivo in TECs is a strong inducer of interstitial fibrosis and that Notch1 expression alone is sufficient to drive TIF.

Figure 6
Transgenic expression of ICNotch1 in TECs causes severe kidney fibrosis.

In cultured TECs, Notch is regulated by TGF-β1 and is a strong inducer of EMT.

Next, we studied the regulation of Notch signaling in cultured renal TECs. Treatment of cultured rat TECs (NRK cells) with TGF-β1 induced expression of Jag1 and led to the accumulation of cleaved Notch1 (Figure (Figure7A).7A). DBZ blocked the accumulation of cleaved Notch1 fragment, but did not alter the expression of Jag1 (Figure (Figure7A),7A), which indicates that Notch activation most likely occurs via de novo induction of ligand expression. Treatment of the NRK cells with TGF-β1 caused differentiated epithelial cell marker loss (i.e., Cdh1) and for the cells to take on a mesenchymal phenotype (dedifferentiation and EMT-like changes). We observed increased expression of Acta2, Vim, and Col1a1 and a decrease in Cdh1 mRNA (Figure (Figure7,7, A and B). Preincubation with DBZ blocked Notch cleavage and expression of EMT markers (Figure (Figure7,7, A and B). TGF-β1 treatment increased the expression of the EMT regulator Snai1 (Figure (Figure7B)7B) in a manner dependent on Notch (i.e., DBZ). Transcript levels of other EMT regulators, such as Twist1, Foxc2, and Snai2, did not change after TGF-β1 incubation (Figure (Figure7B7B and data not shown). Similar TGF-β1–induced, Notch-dependent EMT was observed in human proximal TECs (HK2; data not shown). In summary, our experiments indicate that the Jag1/Notch1 axis is activated by TGF-β1 in vitro and plays a critical role in the TGF-β1–induced EMT of cultured TECs.

Figure 7
TGF-β1 activates Notch signaling, and Notch plays a role in EMT of cultured TECs.

To directly investigate the effect of increased Notch activity, we expressed Notch1 or Notch2 intracellular domains using a tamoxifen-inducible retroviral system (24). The overexpression of cleaved Notch1 and Notch2 (ICN1 and ICN2, respectively) was confirmed by QRT-PCR analysis showing increased transcript levels of ICN1 and ICN2 as well as of their downstream targets, Hey1 and HeyL (Figure (Figure7C).7C). Following expression of ICN1 and ICN2, there was no detectable change in TEC apoptosis (data not shown), and protein levels of Trp53, Parp1, and cleaved caspase 3 did not change (Figure (Figure7E).7E). Expression of ICN1 and ICN2 led to an increase in mRNA and protein levels of Acta2, Fn1, Vim, and Col1a1 (Figure (Figure7,7, D and E). Notch also induced the expression of key EMT regulator Snai2. In summary, Notch activation in cultured cells induced the expression of mesenchymal genes and loss of differentiated epithelial markers, consistent with dedifferentiation and EMT.

In vivo effects of Notch appear to be independent of EMT.

Next, we sought to determine whether Notch-induced EMT also plays a role in the development of TIF in vivo. The hallmark of EMT is the downregulation of epithelial cadherin isoforms such as Cdh1 and expression of mesenchymal markers (25). In TECs, similar to other cells, TGF-β1 and Notch-induced EMT is mediated by Snai1 and Snai2 (26, 27). Therefore, we determined the expression of cadherin isoforms and EMT regulators in Pax8rtTA/ICNotch1 mice and found that transcript levels of epithelial cadherins, such as Cdh1 and Cdh6, were significantly increased (Figure (Figure8A).8A). Moreover, we failed to observe a significant change in Snai1, Snai2, Twist1, and Foxc2 expression in Pax8rtTA/ICNotch1 mice (Figure (Figure8A8A and data not shown).

Figure 8
In vivo expression of Notch does not correlate with markers of EMT.

Next, we analyzed transcriptional regulators of EMT in the FA-induced and UUO models of TIF. We found that Twist1 and Foxc2 were unchanged, whereas Snai1 and Snai2 levels were significantly increased, in both TIF models (Figure (Figure8,8, B and E, and data not shown). Although DBZ effectively ameliorated renal fibrosis in both models (Figures (Figures33 and and4),4), it did not significantly influence transcript levels of Snai1 and Snai2 (Figure (Figure8,8, B and E). Upon analyzing the epithelial cadherins in these models, we found the highest Cdh1 expression mainly on distal TECs (Figure (Figure8C),8C), consistent with prior reports (28, 29). We did not observe a decrease in mRNA or protein expression of Cdh1 in the FA- or UUO-induced TIF models (Figure (Figure8,8, C and F). Similar results were obtained when other cadherin isoforms (Cdh6 and Cdh16) and epithelial markers (Tjp1) were studied (Figure (Figure8,8, D and F). In summary, upon examining the different rodent TIF models and mice with TEC-specific Notch1 expression, we failed to observe a decrease in expression of epithelial markers or Notch-dependent regulation of key EMT transcriptional factors Snai1 and Snai2 in vivo.

Notch activation is associated with cell proliferation in vivo and in vitro.

In order to better understand the mechanism of Notch-induced TIF development in vivo, we performed genome-wide transcriptome analysis on whole kidney lysates of 7-week-old male doxycycline-fed single-transgenic control and double-transgenic Pax8rtTA/ICNotch1 animals using Affymetrix1.0 ST expression arrays (n = 3 mice per array per group), and data were normalized using the RMA16 method (see Methods). The stringent statistical analysis using P < 0.01 (after Benjamini-Hochberg correction) and at least 2-fold change identified 1,784 differentially expressed transcripts (Supplemental Table 1). Next, we grouped the differentially expressed genes by their ontology groups (i.e., biological process and cellular components). We identified 18 level-2 gene ontology (GO) biological process terms (Table (Table1).1). In addition to the different metabolic pathways, cell cycle, cell division, and cell proliferation showed up as key regulated pathways (Table (Table1).1). Additionally, when we examined the level-2 GO cellular component terms, we found extracellular matrix component as one of the key regulated pathways (Table (Table2),2), confirming our previous hypothesis.

Table 1
Gene ontology classification of differentially expressed transcripts in Pax8rtTA/ICNotch1 mice versus controls: biological process
Table 2
GO classification of differentially expressed transcripts in Pax8rtTA/ICNotch1 mice versus controls: cellular component

As the gene expression analysis highlighted Notch-induced cell cycle regulation, we examined cell proliferation in Pax8rtTA/ICNotch1 animals. QRT-PCR analysis showed increased expression of cell cycle regulator proteins Ccnd1, Ccnd2, Ccnb1, and Ccne1 (Figure (Figure9B).9B). Consistently, we observed an increased number of Pcna-positive (i.e., proliferating) cells in Pax8rtTA/ICNotch1 mice (Figure (Figure9A),9A), which suggests that Notch1 might have induced cell proliferation. There was a partial overlap between Notch-expressing and proliferating cells, as not all Notch-positive cells were Pcna-positive, and some Pcna-positive cells were Notch-negative as well. Next, we performed in vitro transfection of NRK cells with ICN1 or ICN2, as described above. We found increased cell proliferation following Notch expression, as detected by increased BrdU incorporation (Figure (Figure9C).9C). We also detected increased transcript levels of cell cycle regulators Ccna1, Ccnd1, and Ccne1 and protein expression of Ccnd1 in Notch-expressing cells (Figure (Figure9,9, D and E). These findings indicate that Notch expression is associated with cell proliferation both in vivo and in vitro.

Figure 9
TEC expression of Notch induces cell proliferation in vivo and in vitro.

Next, we tested whether there is a correlation between inhibition of Notch signaling, reduction in fibrosis, and cell proliferation. We examined cell proliferation by Pcna immunostaining of FA-treated kidney samples in the presence or absence of DBZ. There was a detectable and significant increase in Pcna-positive TECs and Pcna-positive interstitial cells, evident around 3 days after FA administration (Figure (Figure10A).10A). Inhibition of Notch signaling by use of DBZ significantly attenuated cell proliferation in the FA-induced TIF model (Figure (Figure10A).10A). Similarly, DBZ treatment also reduced the expression of cell cycle regulators Ccnd2, Ccne1, and Ccnb1 (Figure (Figure10B).10B). Finally, we examined cell proliferation markers in human kidney biopsy samples. Similar to the murine models, there was an increased number of Pcna-positive cells, which showed a partially overlapping pattern with Notch1 expression (Figure (Figure10C).10C). These results indicate that Notch is associated with cell proliferation in TECs and interstitial cells in the kidney.

Figure 10
TEC expression of Notch correlates with cell proliferation in vivo in mice and humans.


TIF is a common denominator in the development and progression of CKD, regardless of its etiology (2). Therefore, understanding and halting the progression of TIF is an important clinical problem. Here, we demonstrated activation of the Notch pathway in patients with TIF and in mouse models of TIF. Whereas prior studies detected an increase in Notch1 and Jag1 mRNA levels, here we also demonstrated activation of the pathway using a cleavage-specific antibody, and additionally by showing increased expression of the kidney-specific target gene HeyL. Moreover, we show for the first time to our knowledge that increased Notch signaling in renal TECs plays a functional role in TIF development. Expression of Notch in renal epithelial cells is sufficient to induce TIF. Genetic deletion of Notch only in TECs, or pharmacologic blockade of Notch, protected animals from TIF. The effect of Notch was mediated by the canonical Rbpj-dependent pathway. Our results establish that (a) TECs play a key role in the orchestration of interstitial fibrosis and (b) Notch signaling plays a pivotal role in kidney fibrosis development.

How does TEC Notch signaling induce interstitial fibrosis? Expression of Notch in cultured epithelial cells caused the decrease in expression of differentiated epithelial cell markers and the acquisition of a mesenchymal phenotype (i.e., EMT; refs. 30, 31) via regulating the expression of key EMT regulators Snai1 and Snai2 (27). Because EMT has previously been proposed to play a role in TIF development (32, 33), one could infer from our results that Notch controls TIF via EMT induction. While this is a very attractive hypothesis, our present results do not support the notion that Notch-induced EMT is a major contributor to TIF in vivo. Loss of epithelial cell markers, particularly Cdh1, is considered to be a fundamental event in EMT. The Notch-induced EMT of cultured TECs is associated with loss of cell polarity and decreased expression of Cdh1 and Tjp1 (25, 34). On the contrary, expression of Notch1 in vivo in TECs (using the Pax8rtTA/ICNotch1 mouse model) was actually associated with increased expression of Cdh1 (and Cdh6). We also failed to observe a decrease in expression of Cdh1 in the UUO- or FA-induced TIF models. Similarly, when we searched published gene expression studies, we consistently found an increase in Cdh1 and Tjp1 levels in the TIF of human CKD samples ( http://www.nephromine.org; ref. 35). Fate-mapping experiments using PEPCKCre mice also failed to identify epithelial cells in the interstitium (Supplemental Figure 4 and data not shown). These observations suggest that if EMT occurs in vivo at all, its contribution to TIF is relatively small. However, the robust regulation of key EMT drivers Snai1 and Snai2 in the FA and UUO TIF models would argue against the locality of EMT. Transcript levels of Snai1 and Snai2 and TIF development were also discordant: whereas TIF was significantly decreased by γ-secretase inhibitor, Snai1 and Snai2 expressions were not. Moreover, we observed severe TIF following Notch1 overexpression without a change in Snai1 and Snai2 expression. Our present findings indicate that Snai1 and Snai2 are not regulated by Notch in TECs in vivo. It is also important to note that Notch1 expression in vivo in TECs resulted in a much more severe phenotype than in vivo Snai1 overexpression in TECs (6), which indicates that Notch might activate a broader set of programs causing TIF. These results are also consistent with recent lineage tagging experiments disputing the contribution of EMT to kidney fibrosis development (36).

If epithelial cells do not turn into myofibroblasts, how do epithelial cells orchestrate interstitial fibrosis development? Our in vitro findings showed that Notch expression was associated with TEC proliferation and cyclin D1 expression (as also described in other cells; ref. 37). Coculturing Jag1-expressing stromal cells with TECs or fibroblasts was also sufficient to induce expression of cyclin D1, both in epithelial cells and in fibroblasts (data not shown). Not only did Notch activation associate with proliferation in vitro, but Notch activity correlated with cell proliferation in vivo as well: inhibiting Notch signaling by DBZ decreased proliferation in the FA model, while in vivo expression of Notch in TECs induced cell proliferation. Interestingly, we observed proliferation in epithelial cells and interstitial cells and in Notch-positive and neighboring Notch-negative cells (Figure (Figure9A9A and Figure Figure10C).10C). Notch is known to have nonautonomous effects in many different circumstances, including the skin, where it affects tumor development by altering the microenvironment (38). Similarly, endothelial Jag1/Notch signaling induces vascular smooth muscle differentiation (i.e., expression of SMA) and proliferation (39, 40). Although further studies will need to be performed to define the role and effect of epithelial cell signaling on the surrounding stroma and TIF development, this concept could reconcile the seemingly inconsistent prior results, a large body of evidence that indicated a key role for TECs in TIF development (7, 41) and the absence of epithelial cell lineage in the activated myofibroblast population (36). Activation of different signaling pathways, including TGF-β/Smad3 and HIF expression in epithelial cells, has been proposed to regulate TIF (7, 41). Given the known interactions among Notch, TGF-β (42), and hypoxia/HIF (43, 44) signaling, it is possible that these pathways eventually converge in mediating fibrosis development.

A few recent papers show increased cell proliferation in TIF models and indicate that limiting cell proliferation could improve fibrosis development (4547). Therefore, it might be interesting to speculate the role of cell proliferation in humans with TIF and in murine TIF models. There are number of different possibilities. Cell proliferation is usually associated with a less-differentiated state, and therefore proliferating cells might be more prone to lay down matrix proteins. For example, a fibrotic stroma can be found around proliferating cancer cells (48). In our experiments, TEC Notch expression was associated with expression of Col1a1, Fn1, and others (Figures (Figures66 and and7).7). Furthermore, proliferation of TECs might also lead to tubular dilatation observed in — and considered to be the hallmark of — kidney fibrosis. Nevertheless, it is believed that epithelial cell mass is not increased in TIF/CKD. Therefore, increased cell proliferation might be necessary to compensate for the increased TEC apoptosis rate in TIF/CKD (49). In case the kidney does not have an intrinsic stem cell population and only contains progenitor cells, the increased cell turnover rate could cause depletion of the progenitor pool and thus lead to organ dysfunction, as progenitor cells are only able to divide a limited number of times.

Interestingly, increased Notch signaling has been observed in renal cell cancer (RCC), and inhibition of Notch signaling was able to block RCC growth (50). However, while we observed increased TEC proliferation and some degree of dysplasia in mice with TEC-specific Notch1 overexpression, we did not detect RCC (data not shown), which indicates that Notch activation alone might be unable to induce RCC.

Reactivation of developmental pathways, including the Notch pathway, has been noted in AKI models (51). Although no experimental evidence exists to support the hypothesis, it would be logical to believe that renal regeneration follows the pattern of renal development. However, our results show that pharmacological inhibition of the Notch pathway using DBZ did not alter normalization of the serum creatinine following AKI, despite the decreased cell proliferation rate (51). These results indicate that renal regeneration can occur in the absence of Notch signaling and further support the idea that Notch inhibitors can be used to prevent renal fibrosis development (13).

In summary, our results demonstrated that activation of the Notch pathway in TECs is a critical regulator of TIF development. Pharmacological inhibition of the Notch activation by γ-secretase inhibitors may represent a novel treatment, as TIF is a final common pathway in CKD/ESRD development.



Human kidney samples were collected from archived kidney biopsies and from nephrectomies at the Albert Einstein College of Medicine Department of Pathology. All cases were obtained from biopsy-proven DKD with CKD and substantial TIF. The study was approved by the Albert Einstein College of Medicine and Montefiore Medical Center IRBs (approval no. 2002-222). Samples used in this study were anonymized: the human data or samples initially collected with identifiers before research use have been irreversibly stripped of all identifiers by use of an arbitrary alphanumeric code, and the key to the code is destroyed, making it impossible for anyone to link the samples to the sources. Therefore, no informed consent was obtained from the research participants.


Male FvB wild-type mice (~25 g, 10 weeks old) were purchased from Jackson Laboratory. Mice were injected with FA (250 mg/kg, dissolved in NaHCO3) intraperitoneally. For the UUO model, mice underwent ligation of the left ureter, and sham-operated mice were used as controls. DBZ (dissolved in methylcellulose and Tween-80) was administered intraperitoneally (500 μg/100 g) once per day.

Rbpjfl mice were provided by T.

Honjo (Kyoto University, Kyoto, Japan). To generate mice with Rbpj deletion specifically in tubules, we crossed Rbpjfl/fl mice (21) with transgenic PEPCKCre mice (7). To induce the transgene expression, animals were switched to NH4Cl containing water beginning at 4 weeks of age for 3–4 weeks. tetO-ICN1 mice were provided by D. Melton (Howard Hughes Medical Institute, Harvard University, Cambridge, Massachusetts, USA). Transgenic mice carrying the tetO-ICN1 and Pax8-rtTA transgenes have previously been described (22, 23). Mice were placed on doxycycline-containing chow (Bioserv S3888) starting at 4 weeks of age. Transgenic mice were identified by genomic PCR analysis using transgene-specific primers. Only male mice were used in the study. Serum creatinine was determined by enzymatic assay (Creatinine Assay Kit, DICT-500; BioAssay Systems) following the manufacturer’s instructions. All animal studies were approved by the Animal Care Committee at the Albert Einstein College of Medicine.


We prepared total RNA from mouse kidney and from cultured cells using TRIzol reagent (Invitrogen) and the RNeasy Mini kit (Qiagen), respectively. The quality was analyzed on agarose gels, and the quantity was measured using NanoDrop. We reverse transcribed 1 μg total RNA using the cDNA Archival Kit (Applied Biosystems). QRT-PCR was performed using an ABI 7900HT-Sequence Detection System, with SYBR Green Master Mix, 3-step standard cycling conditions, sequence-specific primers. We examined the melting curve to verify that a single product was amplified. For quantitative analysis, all samples were normalized to Ubiquitin C gene expression using the ΔΔCT value method.

Histological analysis.

We used formalin-fixed, paraffin-embedded kidney sections stained with periodic acid Schiff (PAS) or Gomori trichrome. Slides were examined, and pictures were taken with a Nikon Eclipse TE300 microscope and SPOT Diagnostic CCD camera.


Immunohistochemistry was performed as described previously (13), and labeling was visualized using peroxidase-conjugated antibodies to mouse or to rabbit immunoglobulin using the Vectastain Elite kit and 3,3-diaminobenzidine (DAB; Vector Labs). TUNEL staining was performed using a TUNEL kit (Chemicon) following the manufacturer’s instructions. For fluorescence labeling, 5-μm frozen sections were fixed in ice-cold acetone, blocked with 0.2% fish skin gelatin solution, incubated with primary antibodies to Jag1 (Santa Cruz SC9303) and Lotus Tetragonolobus lectin (LTL; Vector Laboratory), developed using FITC-conjugated anti-mouse secondary antibody or Cy3-conjugated anti-rabbit antibodies (Jackson Laboratories), and mounted with Fluoromount. The following antibodies were used: Pcna (Millipore/Chemicon CBL407), activated Notch1 (Abcam ab8925), Ki67 (Vector Labs VP-K451), e-cadherin (Cell Signaling 4065, Abcam ab1416), Jag1 (Santa Cruz sc-8303), and SMA (Sigma-Aldrich A5228).

Cell culture.

Normal rat kidney tubule epithelium (NRK) cells were purchased from ATCC and grown according to the manufacturer’s instructions. Cells were expanded to 90% confluence, followed by serum deprivation in 0.2% FBS for 24 hours prior to stimulation with 5 ng/ml recombinant human TGF-β1 (Peprotech) in the absence or presence of 1 μM DBZ (Syncom) added 1 hour before TGF-β1.

Infection of NRK cells.

NRK cells were infected with MIGR/ICN1/EGFP or MIGR/ICN2/EGFP (referred to herein as ICN1 or ICN2, respectively; ref. 52) or pBMN-EGFP (Orbigen) retroviruses. The ICN1 and ICN2 constructs were provided by W. Pear (University of Pennsylvania, Philadelphia, Pennsylvania, USA). Briefly, we transfected Phoenix Eco packaging cells (Orbigen) and collected supernatant 60–72 hours after the transfection. NRK cells were infected with virus-containing supernatant in the presence of polybrene (4 μg/ml). 24 hours later, cells were treated with tamoxifen to induce ICN1 or ICN2 expression or were left untreated. Infection efficiency, estimated under fluorescence microscope by the presence of GFP-positive cells, ranged 70%–80%.

Cell proliferation.

Cell proliferation was studied using BrdU-based colorimetric cell proliferation assay kit from Exalpha Biological Inc. following the manufacturer’s instructions. Cells were incubated with BrdU for 24 hours.

Western blotting.

We used the following primary antibodies: activated Notch1 (Abcam ab8925), Jag1 (Santa Cruz sc-8303), Acta2 (Sigma-Aldrich A5228), Trp53 (Santa Cruz sc-6243), Ccnd1 (Santa Cruz sc-56302), cleaved PARP and cleaved caspase 3 (Cell Signaling), Snai1 (Cell Signaling 3879), Snai2 (Santa Cruz sc-10436), and Actb (Abcam ab8226).

Microarray experiment.

Mouse tissue total RNA was prepared from whole kidneys using TRIzol (Invitrogen). Gene expression studies were performed using the Affymetrix One Cycle labeling kit per the manufacturer’s instructions. For analysis of gene expression data after hybridization and scanning, raw data files were imported into Genespring Software. Database and expression levels were normalized using the RMA16 algorithm. This normalization method is a mathematical technique used to reduce discrepancies in hybridization patterns that might result from variables in target amplification, hybridization conditions, staining, or probe array lot. Normalizations standardize the data to facilitate identification of genuine gene expression difference.

GO classification and overrepresentation of biological themes.

All significant gene entries were subjected to GO classification. Significant overrepresentation of GO-classified biological processes was determined by comparing the number of genes in the biological process that were significantly differentially expressed in a particular mouse strain with the total number of genes relevant to that biological process printed on the array, using publicly available DAVID 2.0 software ( http://david.abcc.ncifcrf.gov/). Significance was determined by modified Fisher exact test (EASE score, P < 0.01, at least 2-fold change).


Results are presented as mean ± SD. To analyze the difference between 2 groups, 2-tailed Student’s t test was used. Bonferroni correction was used when more than 2 groups were present. A P value less than 0.05 was considered significant.

Supplementary Material

Supplemental data:
Supplemental Excel file 1:


These studies were supported by NIH grant 5R01DK076077 to K. Susztak. H. Si was a recipient of a postdoctoral fellowship from the National Kidney Foundation. Y. Sirin is supported by a grant from the Innovative Medizinische Forschung of University of Muenster (Muenster, Germany). We thank T. Hostetter and S. Somlo for the discussion.


Conflict of interest: The authors have declared that no conflict of interest exists.

Citation for this article: J Clin Invest. 2010;120(11):4040–4054. doi:10.1172/JCI43025.

Portions of this work were presented at the American Society of Nephrology annual meeting in San Diego, California, USA, on October 30, 2009.


1. Centers for Disease Control and Prevention (CDC). State-specific trends in chronic kidney failure--United States, 1990–2001. MMWR Morb Mortal Wkly Rep. 2004;53(39):918–920. [PubMed]
2. Nath KA. Tubulointerstitial changes as a major determinant in the progression of renal damage. Am J Kidney Dis. 1992;20(1):1–17. [PubMed]
3. Kriz W, et al. How does podocyte damage result in tubular damage? Kidney Blood Press Res. 1999;22(1–2):26–36. [PubMed]
4. Golestaneh L, Melamed ML, Hostetter TH. Uremic memory: the role of acute kidney injury in long-term outcomes. Kidney Int. 2009;76(8):813–814. doi: 10.1038/ki.2009.314. [PubMed] [Cross Ref]
5. Kalluri R, Neilson EG. Epithelial-mesenchymal transition and its implications for fibrosis. J Clin Invest. 2003;112(12):1776–1784. [PMC free article] [PubMed]
6. Boutet A, De Frutos CA, Maxwell PH, Mayol MJ, Romero J, Nieto MA. Snail activation disrupts tissue homeostasis and induces fibrosis in the adult kidney. EMBO J. 2006;25(23):5603–5613. doi: 10.1038/sj.emboj.7601421. [PMC free article] [PubMed] [Cross Ref]
7. Higgins DF, et al. Hypoxia promotes fibrogenesis in vivo via HIF-1 stimulation of epithelial-to-mesenchymal transition. J Clin Invest. 2007;117(12):3810–3820. [PMC free article] [PubMed]
8. Humphreys BD, et al. Intrinsic epithelial cells repair the kidney after injury. Cell Stem Cell. 2008;2(3):284–291. doi: 10.1016/j.stem.2008.01.014. [PubMed] [Cross Ref]
9. Lin SL, Kisseleva T, Brenner DA, Duffield JS. Pericytes and perivascular fibroblasts are the primary source of collagen-producing cells in obstructive fibrosis of the kidney. Am J Pathol. 2008;173(6):1617–1627. doi: 10.2353/ajpath.2008.080433. [PMC free article] [PubMed] [Cross Ref]
10. Leimeister C, Schumacher N, Gessler M. Expression of Notch pathway genes in the embryonic mouse metanephros suggests a role in proximal tubule development. Gene Expr Patterns. 2003;3(5):595–598. doi: 10.1016/S1567-133X(03)00114-5. [PubMed] [Cross Ref]
11. Cheng HT, Kopan R. The role of Notch signaling in specification of podocyte and proximal tubules within the developing mouse kidney. Kidney Int. 2005;68(5):1951–1952. doi: 10.1111/j.1523-1755.2005.00627.x. [PubMed] [Cross Ref]
12. Kopan R, Cheng HT, Surendran K. Molecular insights into segmentation along the proximal-distal axis of the nephron. J Am Soc Nephrol. 2007;18(7):2014–2020. doi: 10.1681/ASN.2007040453. [PMC free article] [PubMed] [Cross Ref]
13. Niranjan T, et al. The Notch pathway in podocytes plays a role in the development of glomerular disease. Nat Med. 2008;14(3):290–298. doi: 10.1038/nm1731. [PubMed] [Cross Ref]
14. Waters AM, et al. Ectopic notch activation in developing podocytes causes glomerulosclerosis. J Am Soc Nephrol. 2008;19(6):1139–1157. doi: 10.1681/ASN.2007050596. [PMC free article] [PubMed] [Cross Ref]
15. Walsh DW, et al. Co-regulation of Gremlin and Notch signalling in diabetic nephropathy. Biochim Biophys Acta. 2008;1782(1):10–21. [PubMed]
16. Niranjan T, Murea M, Susztak K. The pathogenic role of notch activation in podocytes. Nephron Exp Nephrol. 2009;111(4):e73–79. doi: 10.1159/000209207. [PMC free article] [PubMed] [Cross Ref]
17. Morrissey J, et al. Transforming growth factor-beta induces renal epithelial jagged-1 expression in fibrotic disease. J Am Soc Nephrol. 2002;13(6):1499–1508. [PubMed]
18. Surendran K, McCaul SP, Simon TC. A role for Wnt-4 in renal fibrosis. Am J Physiol Renal Physiol. 2002;282(3):F431–F441. [PubMed]
19. Lin J, et al. Kielin/chordin-like protein, a novel enhancer of BMP signaling, attenuates renal fibrotic disease. Nat Med. 2005;11(4):387–393. doi: 10.1038/nm1217. [PubMed] [Cross Ref]
20. Oka C, et al. Disruption of the mouse RBP-J kappa gene results in early embryonic death. Development. 1995;121(10):3291–3301. [PubMed]
21. Kato H, et al. Involvement of RBP-J in biological functions of mouse Notch1 and its derivatives. Development. 1997;124(20):4133–4141. [PubMed]
22. Traykova-Brauch M, et al. An efficient and versatile system for acute and chronic modulation of renal tubular function in transgenic mice. Nat Med. 2008;14(9):979–984. doi: 10.1038/nm.1865. [PMC free article] [PubMed] [Cross Ref]
23. Stanger BZ, Datar R, Murtaugh LC, Melton DA. Direct regulation of intestinal fate by Notch. Proc Natl Acad Sci U S A. 2005;102(35):12443–12448. doi: 10.1073/pnas.0505690102. [PMC free article] [PubMed] [Cross Ref]
24. Zweidler-McKay PA, et al. Notch signaling is a potent inducer of growth arrest and apoptosis in a wide range of B cell malignancies. Blood. 2005;106(12):3898–3906. doi: 10.1182/blood-2005-01-0355. [PMC free article] [PubMed] [Cross Ref]
25. Kalluri R. EMT: when epithelial cells decide to become mesenchymal-like cells. J Clin Invest. 2009;119(6):1417–1419. doi: 10.1172/JCI39675. [PMC free article] [PubMed] [Cross Ref]
26. Timmerman LA, et al. Notch promotes epithelial-mesenchymal transition during cardiac development and oncogenic transformation. Genes Dev. 2004;18(1):99–115. doi: 10.1101/gad.276304. [PMC free article] [PubMed] [Cross Ref]
27. Niessen K, Fu Y, Chang L, Hoodless PA, McFadden D, Karsan A. Slug is a direct Notch target required for initiation of cardiac cushion cellularization. . J Cell Biol. 2008;182(2):315–325. doi: 10.1083/jcb.200710067. [PMC free article] [PubMed] [Cross Ref]
28. Kirk A, Campbell S, Bass P, Mason J, Collins J. Differential expression of claudin tight junction proteins in the human cortical nephron. Nephrol Dial Transplant. 2010;25(7):2107–2119. doi: 10.1093/ndt/gfq006. [PMC free article] [PubMed] [Cross Ref]
29. Prozialeck WC, Lamar PC, Appelt DM. Differential expression of E-cadherin, N-cadherin and beta-catenin in proximal and distal segments of the rat nephron. BMC Physiol. 2004;4:10. doi: 10.1186/1472-6793-4-10. [PMC free article] [PubMed] [Cross Ref]
30. Zavadil J, et al. Genetic programs of epithelial cell plasticity directed by transforming growth factor-beta. Proc Natl Acad Sci U S A. 2001;98(12):6686–6691. doi: 10.1073/pnas.111614398. [PMC free article] [PubMed] [Cross Ref]
31. Niimi H, Pardali K, Vanlandewijck M, Heldin CH, Moustakas A. Notch signaling is necessary for epithelial growth arrest by TGF-beta. J Cell Biol. 2007;176(5):695–707. doi: 10.1083/jcb.200612129. [PMC free article] [PubMed] [Cross Ref]
32. Zeisberg M, et al. BMP-7 counteracts TGF-beta1-induced epithelial-to-mesenchymal transition and reverses chronic renal injury. Nat Med. 2003;9(7):964–968. doi: 10.1038/nm888. [PubMed] [Cross Ref]
33. Iwano M, Plieth D, Danoff TM, Xue C, Okada H, Neilson EG. Evidence that fibroblasts derive from epithelium during tissue fibrosis. J Clin Invest. 2002;110(3):341–350. [PMC free article] [PubMed]
34. Lee JM, Dedhar S, Kalluri R, Thompson EW. The epithelial-mesenchymal transition: new insights in signaling, development, and disease. J Cell Biol. 2006;172(7):973–981. doi: 10.1083/jcb.200601018. [PMC free article] [PubMed] [Cross Ref]
35. Nephromine. Nephromine Research Web site. http://www.nephromine.org . Accessed September 1, 2010.
36. Humphreys BD, et al. Fate tracing reveals the pericyte and not epithelial origin of myofibroblasts in kidney fibrosis. Am J Pathol. 2010;176(1):85–97. doi: 10.2353/ajpath.2010.090517. [PMC free article] [PubMed] [Cross Ref]
37. Stahl M, Ge C, Shi S, Pestell RG, Stanley P. Notch1-induced transformation of RKE-1 cells requires up-regulation of cyclin D1. Cancer Res. 2006;66(15):7562–7570. doi: 10.1158/0008-5472.CAN-06-0974. [PubMed] [Cross Ref]
38. Demehri S, Turkoz A, Kopan R. Epidermal Notch1 loss promotes skin tumorigenesis by impacting the stromal microenvironment. Cancer Cell. 2009;16(1):55–66. doi: 10.1016/j.ccr.2009.05.016. [PMC free article] [PubMed] [Cross Ref]
39. High FA, et al. An essential role for Notch in neural crest during cardiovascular development and smooth muscle differentiation. J Clin Invest. 2007;117(2):353–363. doi: 10.1172/JCI30070. [PMC free article] [PubMed] [Cross Ref]
40. High FA, Lu MM, Pear WS, Loomes KM, Kaestner KH, Epstein JA. Endothelial expression of the Notch ligand Jagged1 is required for vascular smooth muscle development. Proc Natl Acad Sci U S A. 2008;105(6):1955–1959. doi: 10.1073/pnas.0709663105. [PMC free article] [PubMed] [Cross Ref]
41. Sato M, Muragaki Y, Saika S, Roberts AB, Ooshima A. Targeted disruption of TGF-beta1/Smad3 signaling protects against renal tubulointerstitial fibrosis induced by unilateral ureteral obstruction. J Clin Invest. 2003;112(10):1486–1494. [PMC free article] [PubMed]
42. Zavadil J, Cermak L, Soto-Nieves N, Bottinger EP. Integration of TGF-beta/Smad and Jagged1/Notch signalling in epithelial-to-mesenchymal transition. EMBO J. 2004;23(5):1155–1165. doi: 10.1038/sj.emboj.7600069. [PMC free article] [PubMed] [Cross Ref]
43. Gustafsson MV, et al. Hypoxia requires notch signaling to maintain the undifferentiated cell state. Dev Cell. 2005;9(5):617–628. doi: 10.1016/j.devcel.2005.09.010. [PubMed] [Cross Ref]
44. Sahlgren C, Gustafsson MV, Jin S, Poellinger L, Lendahl U. Notch signaling mediates hypoxia-induced tumor cell migration and invasion. Proc Natl Acad Sci U S A. 2008;105(17):6392–6397. doi: 10.1073/pnas.0802047105. [PMC free article] [PubMed] [Cross Ref]
45. Grgic I, et al. Renal fibrosis is attenuated by targeted disruption of KCa3.1 potassium channels. Proc Natl Acad Sci U S A. 2009;106(34):14518–14523. doi: 10.1073/pnas.0903458106. [PMC free article] [PubMed] [Cross Ref]
46. Grande MT, et al. Deletion of H-Ras decreases renal fibrosis and myofibroblast activation following ureteral obstruction in mice. Kidney Int. 2010;77(6):509–518. doi: 10.1038/ki.2009.498. [PubMed] [Cross Ref]
47. Yang L, Besschetnova TY, Brooks CR, Shah JV, Bonventre JV. Epithelial cell cycle arrest in G2/M mediates kidney fibrosis after injury. Nat Med. 2010;16(5):535–543. doi: 10.1038/nm.2144. [PMC free article] [PubMed] [Cross Ref]
48. Ikushima H, Miyazono K. TGFbeta signalling: a complex web in cancer progression. Nat Rev Cancer. 2010;10(6):415–424. doi: 10.1038/nrc2853. [PubMed] [Cross Ref]
49. Susztak K, Ciccone E, McCue P, Sharma K, Bottinger EP. Multiple metabolic hits converge on CD36 as novel mediator of tubular epithelial apoptosis in diabetic nephropathy. PLoS Med. 2005;2(2):e45. doi: 10.1371/journal.pmed.0020045. [PMC free article] [PubMed] [Cross Ref]
50. Sjolund J, et al. Suppression of renal cell carcinoma growth by inhibition of Notch signaling in vitro and in vivo. J Clin Invest. 2008;118(1):217–228. doi: 10.1172/JCI32086. [PMC free article] [PubMed] [Cross Ref]
51. Kobayashi T, et al. Expression and function of the Delta-1/Notch-2/Hes-1 pathway during experimental acute kidney injury. Kidney Int. 2008;73(11):1240–1250. [PubMed]
52. Schouwey K, et al. Notch1 and Notch2 receptors influence progressive hair graying in a dose-dependent manner. Dev Dyn. 2007;236(1):282–289. doi: 10.1002/dvdy.21000. [PubMed] [Cross Ref]

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