1. Cell Biology

Two-signal requirement for growth-promoting function of Yap in hepatocytes

  1. Tian Su
  2. Tanya Bondar
  3. Xu Zhou
  4. Cuiling Zhang
  5. Hang He
  6. Ruslan Medzhitov  Is a corresponding author
  1. Howard Hughes Medical Institute, Yale University School of Medicine, United States
  2. College of Life Sciences, Peking University, China
https://doi.org/10.7554/eLife.02948
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Cite this article
  1. Tian Su
  2. Tanya Bondar
  3. Xu Zhou
  4. Cuiling Zhang
  5. Hang He
  6. Ruslan Medzhitov
(2015)
Two-signal requirement for growth-promoting function of Yap in hepatocytes
eLife 4:e02948.
https://doi.org/10.7554/eLife.02948
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Abstract

The transcriptional coactivator Yes-associated protein (Yap) promotes proliferation and inhibits apoptosis, suggesting that Yap functions as an oncogene. Most oncogenes, however, require a combination of at least two signals to promote proliferation. In this study, we present evidence that Yap activation is insufficient to promote growth in the otherwise normal tissue. Using a mosaic mouse model, we demonstrate that Yap overexpression in a fraction of hepatocytes does not lead to their clonal expansion, as proliferation is counterbalanced by increased apoptosis. To shift the activity of Yap towards growth, a second signal provided by tissue damage or inflammation is required. In response to liver injury, Yap drives clonal expansion, suppresses hepatocyte differentiation, and promotes a progenitor phenotype. These results suggest that Yap activation is insufficient to promote growth in the absence of a second signal thus coordinating tissue homeostasis and repair.

https://doi.org/10.7554/eLife.02948.001

eLife digest

As we grow up, the organs in our body tend to stop growing and then remain roughly the same size for the rest of our lives. This is possible because of control systems that determine how often the cells within the organ can divide and when they should die. If these controls fail, the cells may divide rapidly and not die when they should, which can cause tumors to grow. In healthy cells, the proteins that promote cell division and/or prevent cell death are strictly controlled—usually by at least two different ‘on’ signals—so that they are only active at specific times.

Yap is one such protein that promotes cell division and inhibits programmed cell death. Previous studies have reported that artificially increasing the levels of Yap in cells is sufficient to make tumors grow in a seemingly unrestrained fashion. This suggests that only one signal is required to over-activate Yap. However, it is also possible that these experiments were carried out under conditions where a second unknown growth-promoting signal was also present.

Here, Su, Bondar et al. genetically altered mice to produce more Yap in some, but not all, cells in the liver. This revealed that when surrounded by normal cells, the high levels of Yap in individual cells do not lead to excessive liver growth. The cells do divide more, but this is balanced by an increase in the numbers of cells that die.

However, if the liver is injured, the high levels of Yap can keep the cells in a stem cell-like state and cause them to grow and divide excessively. This helps the liver to recover, and once the recovery is complete, the cells that produce more Yap are killed. Su, Bondar et al. suggest that the excessive cell growth observed in previous studies may be due to the researchers unintentionally simulating the conditions of inflammation by increasing the levels of Yap in all the cells.

These findings reveal that Yap needs to be activated by both a signal from within the cell and a second signal from other cells—caused by injury or inflammation—to promote the growth of tumors.

https://doi.org/10.7554/eLife.02948.002

Introduction

The transcriptional coactivator Yap is an evolutionarily conserved mediator of cell fate decisions such as proliferation, differentiation, and survival (Yu and Guan, 2013). Together with a related protein Taz, Yap is the central target of the Hippo pathway, a growth-suppressive network of kinase complexes that inactivates Yap and Taz (Hong and Guan, 2012). The Hippo pathway has been implicated in organ size control, as overexpression of Yap or inactivation of the Hippo components leads to tissue overgrowth and organomegaly in Drosophila and mouse models (Camargo et al., 2007; Dong et al., 2007; Lin et al., 2013). These effects are largely mediated by Yap-TEAD complexes that activate transcription of genes promoting cell proliferation and inhibiting apoptosis (Wu et al., 2008; Zhang et al., 2008; Zhao et al., 2008). Yap is interconnected with RTK (Reddy and Irvine, 2013), GPCR (Yu et al., 2012), PI3K (Fan et al., 2013), Wnt (Bernascone and Martin-Belmonte, 2013), and TGF-beta (Ferrigno et al., 2002; Attisano and Wrana, 2013; Mullen, 2014) signaling, and Yap co-regulates transcription by interacting with Smads (Ferrigno et al., 2002; Beyer et al., 2013), TCF/LEF (Konsavage and Yochum, 2013), Tbx5 (Beyer et al., 2013), Runx2 (Zaidi et al., 2004), FoxO1 (Shao et al., 2014), and p73 (Strano et al., 2001), among others (Barry and Camargo, 2013).

The intestinal epithelium in both Drosophila (Karpowicz et al., 2010; Ren et al., 2010; Shaw et al., 2010; Staley and Irvine, 2010) and mice does not depend on Yap for homeostatic tissue turnover (Zhou et al., 2011), but it does respond very strongly to Yap overexpression (Barry et al., 2013) and requires Yap for tissue repair (Cai et al., 2010). Thus, in some tissues Yap may be dispensable for homeostasis but required specifically in response to injury. The liver is one of the organs most responsive to excessive Yap activity. Transgenic overexpression of Yap or inactivation of its upstream negative regulators causes a dramatic increase in liver size, hepatocyte proliferation, progenitor cell expansion, and tumorigenesis (Camargo et al., 2007; Dong et al., 2007; Lee et al., 2010; Lu et al., 2010; Zhang et al., 2010; Kowalik et al., 2011; Zheng et al., 2011). In contrast, deletion of Yap in the liver leads to defects in bile duct formation but no apparent defects in hepatocyte number and function (Bai et al., 2012), suggesting that Yap may be dispensable for hepatocyte homeostasis. However, whether its function is required for hepatocyte homeostasis and response to injury remains to be established (Yu et al., 2014).

Yap activation promotes proliferation, survival, stemness, and tumor development in mouse models (Camargo et al., 2007; Dong et al., 2007; Barry and Camargo, 2013) and is commonly observed in human cancers (Fernandez et al., 2009; Wang et al., 2009). Collectively, these data suggest that hyperactivation of Yap abrogates organ size control mechanisms and drives tumorigenesis in a seemingly unrestrained fashion. However, growth-promoting pathways are normally safeguarded by tumor-suppressive mechanisms (Hahn and Weinberg, 2002). For example, c-myc hyperactivation sensitizes cells to apoptosis (Evan et al., 1992), oncogenic Ras induces senescence (Serrano et al., 1997), and overexpression of Bcl-2 inhibits cell proliferation (O'Reilly et al., 1996). Whether or not Yap activity is subject to a similar tumor-suppressive regulation is currently unclear. While Yap is known to interact with p73 and promote apoptosis in response to DNA damage in vitro (Strano et al., 2001; Lapi et al., 2008), there is no evidence that Yap can induce apoptosis in vivo.

Control of cell fate decisions at the tissue level is poorly understood, but it is likely to involve cell contact-dependent regulation. Yap activity is regulated by adherens and tight junctions, cell polarity complexes, and the actin cytoskeleton (Boggiano and Fehon, 2012). At high cell densities, Yap is either directly recruited to intercellular junctions or undergoes phosphorylation and cytosolic retention via the Hippo pathway, which itself is also regulated in a cell contact-dependent manner. This feature makes Yap competent to direct cell fate decisions depending on cell density and architecture. Thus, cell environment may be a major determinant of the outcome of Yap activation. Moreover, evidence from Drosophila (Chen et al., 2012) and mammalian cell culture (Norman et al., 2012) suggest that the outcome of Yap activation depends on Yap activity in neighboring cells. The regulation of Yap activity by such mechanism has not been characterized in mammalian tissues in vivo.

Here, we describe a mosaic model of Yap activation in the mouse liver, where a high level of Yap expression is induced in a fraction of hepatocytes surrounded by normal tissue. We present evidence that a high level of Yap in this context is insufficient to drive clonal expansion, as increased proliferation of Yap-overexpressing hepatocytes is balanced by their increased susceptibility to apoptosis. Yap-mediated clonal expansion requires a second signal provided by disruption of tissue homeostasis, such as injury or inflammation. Upon returning to homeostasis, excessive Yap-overexpressing cells are eliminated by apoptosis.

Results

Generation of mosaic Yap mouse model

To study the role of cell environment in the regulation of the mammalian Hippo pathway, we generated a conditional mosaic mouse model of Yap overexpression (YapKI mice). We used Yap1 mutant S112A which has enhanced nuclear localization and has been previously shown to cause a several-fold increase in liver size when overexpressed (Schlegelmilch et al., 2011; Zhang et al., 2011) in the entire organ. A targeting construct driving expression of the Yap1S112A-IRES-GFP downstream of a floxed transcriptional STOP cassete was knocked into the Gt(ROSA)26Sor (Rosa26) locus. Upon expression of Cre recombinase, the transcriptional STOP cassette is removed, allowing expression of Yap together with GFP (YapKI mice; Figure 1—figure supplement 1).

We used the Rosa26-IRES-GFP targeting construct which is expressed bimodally (Bondar and Medzhitov, 2010) (likely due to epigenetic regulation of the locus), generating GFPlow and GFPhigh populations in all cells of hematopoietic lineages (Bondar and Medzhitov, 2010) and solid tissues tested (liver, pancreas, muscle, intestine; Figure 1—figure supplement 2 and data not shown). Both populations have a recombined STOP cassette, but the gene of interest is expressed above physiological level only in GFPhigh cells. GFPlow cells serve as an internal control population of the identical genetic background for the GFPhigh cells. In the absence of selective pressure, the ratio of GFPlow to GFPhigh cells remains constant throughout life. Thus, crossing YapKI mice to Albumin-Cre (Alb-Cre) yields mosaic Yap expression in the hepatic lineage, where individual cells overexpressing Yap can be traced by GFP fluorescence (YapKIAlb-Cre mice). Similar to the previously reported Rosa26-DNp53 mice (Bondar and Medzhitov, 2010), the proportion of GFPlow to GFPhigh cells remained stable in the blood of YapKICreER mice upon tamoxifen induction for many months (Figure 1—figure supplement 2B–D). In the colons of YapKIVillin-Cre mice, crypts were either entirely GFPhigh or GFPlow (GFPlow appearing as GFP− due to limited sensitivity of GFP detection by tissue immunostaining). There were no crypts that have mixed populations, as would be expected if cells randomly switched expression level (Figure 1—figure supplement 2E). Collectively, these data illustrate stable inheritance of the Rosa26 allele expression level.

First, we verified the correlation of Yap and GFP expression by immunofluorescence staining of the YapKIAlb-Cre liver sections. Indeed, Yap and GFP in hepatocytes displayed mosaic and overlapping expression pattern, with cytosolic as well as nuclear Yap localization (Figure 1A). Utilizing the GFP marker, we tested the recombination efficiency by flow cytometry. More than 90% of hepatocytes were GFP-positive, indicating high deletion efficiency of the STOP cassette (Figure 1B). Recombination was also confirmed by genomic qPCR (Figure 1—figure supplement 3). The hepatocytes formed two distinct populations differing in GFP brightness. To determine the level of Yap activity in these cells, we sorted each of these populations by FACS. Since GFP fluorescence varied 10-fold within the GFPlow population, we further subdivided it into GFPlow and GFPmed-low populations (Figure 1B). The exogenous transcripts of Yap are highly expressed only in the GFPhigh population, but not in the GFPlow and GFPmed-low populations. The small amount of the exogenous Yap mRNA in the GFPlow and GFPmed-low populations is insignificant due to a potential negative feedback mechanism that reduces the endogenous Yap expression, resulting in a similar level of total Yap mRNA compared to that of wild-type (WT) (Figure 1—figure supplement 4). Additionally, CTGF, a known Yap downstream target gene (Zhao et al., 2008), was significantly upregulated only in the GFPhigh population, whereas its expression remained unchanged in GFPlow and GFPmed-low populations, indicating normal levels of Yap activity in these cells (Figure 1C). Thus, GFP and Yap protein levels correlate in YapKIAlb-Cre mice, and Yap is overexpressed and has higher activity specifically in the GFPhigh hepatocytes (to which we will refer as Yaphigh cells).

Figure 1 with 4 supplements see all
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YapKIAlb-Cre strain is a hepatocyte-specific mosaic mouse model of Yap activation.

(A) Detection of exogenous Yap and GFP by immunofluorescent staining of YapKIAlb-Cre liver sections. (B) Flow cytometric analysis of GFP fluorescence in primary hepatocytes. The plots are gated on hepatocytes by forward and side scatter and on live cells by excluding 7-AAD positive events. (C) Expression of Yap and CTGF was determined by qPCR in primary hepatocyte populations sorted based on GFP levels as shown in B.

https://doi.org/10.7554/eLife.02948.003

Yap activation in hepatocytes does not lead to clonal expansion at steady state

The first question we addressed is whether liver size is affected by mosaic Yap overexpression. Previous studies showed that hyperactivation of Yap in the entire liver leads to rapid and progressive hepatomegaly: liver weight increases fivefold in 1 month in Yap transgenic mice (Camargo et al., 2007; Dong et al., 2007) and fourfold by 3 months of age in Stk3, Stk4 (Mst1/2) double null mice (Lu et al., 2010; Song et al., 2010) (where Yap is activated due to an absence of upstream negative regulators). However, the liver/body weight ratio of the mosaic YapKIAlb-Cre mice was only slightly elevated (Figure 2A). Hepatocyte numbers (Figure 2B) and liver morphology (Figure 2C) also remained normal. Moreover, Yaphigh cells did not have a growth advantage over the WT neighbors, since neither the average size of Yaphigh cells clusters in the liver sections (Figure 2—figure supplement 1) nor the average frequency of Yaphigh hepatocytes increased over time (Figure 2D).

Figure 2 with 4 supplements see all
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Yap overexpression in hepatocytes does not induce hepatomegaly or clonal expansion at steady state.

(A) Liver/body weight ratios of 1- to 3-month-old YapKIAlb-Cre mice (KI) and littermate controls (WT), n ≥ 11. ****p ≤ 0.0001. (B) Total hepatocyte numbers were determined by quantitative flow cytometry of primary hepatocytes isolated from 1- to 3-month-old mice of the indicated genotypes, n ≥ 14. (C) A representative image of H&E staining performed on liver sections of 6-week-old control (WT) and YapKIAlb-Cre mice (KI). (D) Primary hepatocytes were isolated by collagenase perfusion from YapKIAlb-Cre mice of indicated age groups, and percentage of GFPhigh hepatocytes was determined by flow cytometry; n ≥ 11. (E) Mice were injected with BrdU for 3 consecutive days and liver sections were stained with BrdU and GFP antibodies. Percent of BrdU+ hepatocytes was quantified in liver sections of the controls (WT) and within Yaplow (GFP−) and Yaphigh (GFP+) populations of the YapKIAlb-Cre livers. n ≥ 8. (F) TUNEL-positive nuclei were quantified on liver sections of control (WT) and YapKIAlb-Cre (KI) mice. 3 mice were used for each group and 4 images were taken for each mouse. Each dot represents cell count from each image. **p ≤ 0.01.

https://doi.org/10.7554/eLife.02948.008

These results were unexpected, considering the dramatic increase in hepatocyte proliferation and survival driven by Yap in the previously published whole-liver transgenic models (Camargo et al., 2007; Dong et al., 2007). We therefore tested whether Yap influenced proliferation and apoptosis in YapKIAlb-Cre liver. Indeed, more Yaphigh hepatocytes incorporated BrdU than their GFPlow neighbors or hepatocytes in WT livers (Figure 2E). Meanwhile, TUNEL staining indicated more apoptosis in the YapKIAlb-Cre livers (Figure 2F). It is noteworthy that only a minor fraction of the Yaphigh cells proliferated, and over 95% remained quiescent throughout the 3-day BrdU labeling period. These data suggest that increased Yap levels sensitize hepatocytes to both mitogenic and apoptotic signals but are insufficient to drive cell expansion, resulting in slightly increased cell turnover without net growth advantage.

This insufficiency was not due to an overall lack of Yap activation, as Yap overexpression induced a significant change in gene expression in our model. Sorted WT, GFPlow and GFPhigh hepatocytes were compared by RNA-sequencing analysis. Gene expression of GFPlow cells isolated from YapKIAlb-Cre livers was similar to that of the WT hepatocytes, whereas GFPhigh hepatocytes showed robust transcriptional changes: 821 genes were significantly up-regulated (p ≤ 0.005 and fold change ≥2) in Yaphigh hepatocytes compared to WT hepatocytes (Figure 2—figure supplement 2A). 37% of these genes overlapped with genes upregulated in the previously characterized Yap overexpression model (Dong et al., 2007) (Figure 2—figure supplements 2B, 3A–B), further validating our model. Dong et al (Dong et al., 2007) used an ApoE promoter which is not restricted to hepatocytes, and assayed the whole liver that includes stromal, endothelial and immune cells with microarray, whereas we assayed sorted hepatocytes in a model with hepatocyte-specific Yap induction with RNA-sequencing. Thus, a complete overlap in gene profile would not be expected. Yap-induced genes showed an enrichment in cell adhesion, extracellular matrix (ECM), and cell–cell junction functional groups (Figure 2—figure supplement 2C), according to DAVID functional cluster analysis (Huang et al., 2009a, 2009b). In contrast, the cell cycle category was not significantly enriched, likely because only a small fraction of all Yaphigh hepatocytes were proliferating, as evidenced by BrdU labeling.

It is well known that pro-growth effects of Yap overexpression are mediated through TEAD (Wu et al., 2008; Zhang et al., 2008; Zhao et al., 2008), and the dominant-negative TEAD mutant largely suppresses effects of Yap transgene in the liver (Liu-Chittenden et al., 2012). To evaluate how many of the Yap-induced genes are potentially regulated directly by Yap-TEAD complexes, we compared these genes to genes with TEAD binding sites identified previously by ChIP-seq (ENCODE Project Consortium, 2011). Indeed, over 25% of all Yap-activated genes are associated with TEAD compared to only 9% of all genes in the genome. Moreover, a large fraction of genes induced in Yaphigh hepatocytes and related to cell adhesion (33%), ECM (36%), and cell–cell junctions (36%) contain TEAD binding regions (Figure 2—figure supplement 2D). The gene expression data shown here suggest that inability of Yap to drive cell expansion in our model is not due to lack of transcriptionally competent Yap-TEAD complexes.

To test whether mosaic Yap activation can lead to clonal expansion in previously characterized mouse models, we injected Stk4−/−;Stk3flox/flox mice with a low dose of adenovirus expressing Cre and GFP, and compared patterns of BrdU incorporation and GFP+ hepatocytes 5 and 35 days later. At both time points, we could only observe single GFP+ hepatocytes, BrdU negative (Figure 2—figure supplement 4A). Semi-quantitative PCR of the recombined Stk3 (∆Mst2) allele also did not show an increase at 35 days, and liver/body mass ratio remained normal (Figure 2—figure supplement 4B,C).

Taken together, these data suggest that clonal activation of Yap in hepatocytes is not sufficient to overrule growth restricting mechanisms at steady state, but is sufficient to regulate transcription of a large number of genes related to extracellular environment.

Yap promotes hepatocyte proliferation in response to injury

Previous studies demonstrated that Yap is activated during liver injury (Bai et al., 2012; Wang et al., 2012; Anakk et al., 2013) and protects mice from oxidative stress-induced damage (Wu et al., 2013). We therefore tested whether Yap induction provides selective advantage during liver injury. We chose carbon tetrachloride (CCl4) as a damaging agent due to its localized effects around the central vein (CV) (Weber et al., 2003).

We first characterized the kinetics of liver damage after a single injection of CCl4. Blood ALT levels in YapKIAlb-Cre and WT mice rose to similar levels, indicating comparable hepatocyte damage (Figure 3—figure supplement 1). By day 4 the acute damage phase ceased completely (Figure 3—figure supplement 1) and very few hepatocytes incorporated BrdU (Figure 3—figure supplement 2). We therefore chose day 4 to study the outcome of the tissue repair response.

In response to CCl4 damage Yaphigh cells expanded dramatically within 4 days in the pericentral area, comprising over 80% of all hepatocytes in this zone (Figure 3A,B). These pericentral Yaphigh cells incorporated significantly more BrdU during days 1–3 after CCl4 administration compared to Yaplow hepatocytes in the same location (Figure 3C). In contrast, Yaphigh cells proliferated much less in the CV-distal areas than in the pericentral area (Figure 3C). In fact, the BrdU index outside the pericentral zone did not differ between Yaphigh and Yaplow hepatocytes within the same liver. Even though Yaphigh cells expanded locally at the injury sites, the effect was strong enough to significantly increase total percentage of Yaphigh cells in the liver (Figure 3D). Nevertheless, this expansion of Yaphigh cells did not overrule normal liver size control, as the total number of hepatocytes was similar in YapKIAlb-Cre and WT mice (Figure 3—figure supplement 3). Liver/body weight ratios in both groups also returned to steady-state levels within a month after undergoing a similar increase in response to CCl4, (likely due to the infiltration of immune cells during early phase of tissue repair) (Figure 3—figure supplements 3–5). These results indicate that Yaphigh cells undergo expansion in response to local tissue injury signals.

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Injury induces proliferation and clonal expansion of Yap-overexpressing hepatocytes.

(A) Liver sections of control (WT) and YapKIAlb-Cre (KI) mice isolated at steady state (SS) or on days 4 and 14 after CCl4 treatment were stained with antibodies to GFP and BrdU. BrdU was injected in all groups for 3 consecutive days before harvesting the livers. (B) The percentage of Yaphigh (GFP+) cells among all hepatocytes was quantified within the pericentral zone (‘damage site’) and outside the pericentral zone (‘outside’) and in the liver sections of YapKIAlb-Cre mice on day 4 after CCl4 treatment. 3–4 mice were used for each group and 3–4 images were taken for each mouse. Each dot represents cell count from each image. ****p ≤ 0.0001. (C) The percentages of BrdU+ hepatocytes among GFP− and GFP+ hepatocytes were quantified outside the CV zone (‘outside’) and around CV (‘damage site’) in liver sections of YapKIAlb-Cre mice on day 4 after CCl4 treatment. 3–4 mice were used for each group and 3–4 images were taken for each mouse. Each dot represents a cell count from each image. ****p ≤ 0.0001. (D) Hepatocytes were isolated by collagenase perfusion from 1- to 2-month-old YapKIAlb-Cre mice at steady state (SS), at day 4 (D4) and day 14 (D14) after CCl4 treatment, or after a 6-day LPS treatment (LPS), and percentage of GFPhigh cells determined by flow cytometry.

https://doi.org/10.7554/eLife.02948.013

To investigate whether Yap activity in hepatocytes is required for tissue repair, we generated Yap conditional knockout mice and crossed them to the AlbCre strain to obtain hepatocyte-specific Yap knockout Yap1flox/flox;AlbCre (YapCKOAlb-Cre) mice (Figure 4—figure supplements 1, 2). These mice were treated with CCl4 using the same protocol as described above. A similar increase in blood ALT level in YapCKOAlb-Cre and WT mice indicated comparable liver damage in the first 2 days (Figure 4—figure supplement 3). By day 4, ALT levels returned to baseline (Figure 4—figure supplement 3), normal pericentral morphology was restored, and expression of the CV-proximal marker glutamine synthase was reestablished in both groups (Figure 4A). However, YapCKOAlb-Cre hepatocytes proliferated significantly less than their WT counterparts throughout the repair phase, as shown by BrdU labeling on days 1–3 (Figure 4B,C). Consistent with the defective regeneration, YapCKOAlb-Cre livers displayed abnormal collagen deposition around the CV (Figure 4D). Interestingly, the steady-state liver/body mass ratio (Figure 4—figure supplement 4) and BrdU incorporation rate (Figure 4—figure supplement 5) were higher in the YapCKOAlb-Cre mice than in the WT mice, suggesting that Yap is not required for homeostatic hepatocyte proliferation.

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Yap function in hepatocytes is required for tissue repair.

(A) Expression of glutamine synthase detected by immunofluorescent staining of littermate controls (WT) and YapCKOAlb-Cre YapCKO livers on day 4 after CCl4 treatment. CV, central vein. (B) BrdU staining illustrating lack of hepatocyte proliferation in Yap-deficient hepatocytes in response to CCl4-induced injury. The results are quantified in Figure 4C. (C) Total BrdU+ hepatocytes in WT, YapKIAlb-Cre (KI) and YapCKOAlb-Cre (CKO) mice were quantified outside the CV zone (‘outside’) and around CV (‘damage site’) in liver sections on day 4 after CCl4 treatment. 3–4 mice were used for each group and 3–4 images were taken from each mouse. Each dot represents a cell count from each image. (D) Excessive collagen deposition in YapCKOAlb-Cre mice on day 4 after CCl4 treatment revealed by Sirius Red staining.

https://doi.org/10.7554/eLife.02948.019

Thus, while Yap is not required for liver development and hepatocyte proliferation under normal conditions, Yap function is required for hepatocyte proliferation during tissue repair. Additionally, hepatocytes with a higher level of Yap have growth advantage during the early repair phase.

Yap promotes hepatocyte proliferation in response to inflammation

Given differential effects of Yap on hepatocyte proliferation during homeostasis vs injury, we wondered how growth control mechanisms might differ under these conditions. Tissue injury is accompanied by inflammation, which can promote proliferation by mechanisms distinct from homeostasis. To test whether Yap cooperates with inflammatory signals to drive cell cycle progression, we measured hepatocyte BrdU incorporation in YapKIAlb-Cre mice after 6 continuous days of intraperitoneal injections of LPS. This chronic LPS treatment induced a massive expansion of Yaphigh hepatocytes, similar to what was seen after CCl4 treatment (Figure 3D). Consistently, the BrdU incorporation index indicated that Yaphigh hepatocytes proliferated significantly more than hepatocytes in the WT livers (Figure 5A,B). YapKIAlb-Cre livers displayed significant hyperplasia, as visualized by increased hepatocyte density (Figure 5C) and measured by total number of hepatocytes per liver (Figure 5D).

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Inflammation induces proliferation of Yap-overexpressing hepatocytes.

(A) Control (WT) or YapKIAlb-Cre mice were coinjected with BrdU and LPS for 6 days. Percentage of BrdU+ hepatocytes was quantified. 4–6 mice were used for each group and 3–4 images were taken for each mouse. Each dot represents cell count from each image. (B) A representative image of chronic (6xLPS) LPS injected livers used for the quantification in A. Arrows indicate BrdU+ hepatocyte nuclei. (C) H&E representative images of the chronic LPS-treated livers. (D) Hepatocyte numbers of the chronic LPS-treated livers was measured by quantitative flow cytometry.

https://doi.org/10.7554/eLife.02948.025

We then tested whether IL-6, an inflammatory cytokine induced by LPS and by liver injury, can cooperate with Yap in promoting hepatocyte growth. When IL-6 was produced by LLC cells growing as subcutaneous tumors in YapKIAlb-Cre mice, it caused expansion of Yaphigh hepatocytes in the livers of mice that had the highest levels of systemic IL-6 (Figure 5—figure supplement 1A,B), suggesting that IL-6 may cooperate with Yap to promote hepatocyte proliferation.

Yap upregulates progenitor markers and represses hepatocyte differentiation in response to injury

4 days after CCl4 treatment in WT mice, normal liver tissue morphology was restored around the CV. In contrast, we observed high cell density, strong cytoplasmic eosinophilia, round to ovoid nuclei, and increased nuclear/cytoplasmic ratio in the pericentral zones of livers from CCl4-treated YapKIAlb-Cre mice (Figure 6A). These morphological changes are often seen in hepatocellular carcinomas (HCC) and are associated with dedifferentiation (Chang et al., 2010; Balani et al., 2013). Immunofluorescent staining indicated that these cells were GFP+ and therefore originated from Yaphigh hepatocytes (Figure 3A). To determine whether Yap induction affects differentiation status of hepatocytes, we compared the gene expression of hepatocytes sorted from YapKIAlb-Cre mice at steady state and 4 days after CCl4 damage. The majority of liver-specific transcripts (Pan et al., 2013) (which roughly represent hepatocyte differentiation state) were strongly repressed in Yaphigh hepatocytes from CCl4-treated mice, whereas WT and Yaplow hepatocytes showed minimal alterations and no bias towards decreased expression (Figure 6B). Immunofluorescent staining and Western blot for hepatocyte-specific gene glutamine synthase also showed a strong downregulation of expression in YapKIAlb-Cre livers after CCl4 damage (Figure 6C,D). Downregulation of other hepatocyte-specific genes (acute phase protein Orm1 and urea cycle component Asl) was also confirmed by qPCR (Figure 6—figure supplement 1). To further verify RNA-sequencing data and evaluate levels of Yap activation in our model, we performed qPCR analysis of the genes previously shown to be induced in Yap-Tg liver by Pan's group (Dong et al., 2007) and found comparable effects (Figure 6—figure supplement 1).

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Yap activation cooperates with tissue injury to repress hepatocyte differentiation and promote progenitor phenotype.

(A) H&E staining of liver sections of control (WT) and YapKIAlb-Cre (KI) mice isolated on day 4 after CCL4 treatment. (B) Heatmap of RNA-sequencing data comparing expression of liver specific genes (see ‘Materials and methods’). Hepatocytes were sorted from wild-type livers (WT) or from YapKIAlb-Cre livers based on GFP levels (Lo and Hi), at steady state (SS) or on day 4 after CCl4 treatment (CCl4). The fold change is calculated between the indicated samples and WT in steady state. Data represent the mean of the duplicates. (C) Liver sections of control (WT) and YapKIAlb-Cre (KI) mice isolated on days 4 CCL4 treatment were stained with antibodies to glutamine synthase. (D) Glutamine synthase (GS), Yap and beta-actin protein levels in whole-liver protein lysates prepared on day 4 after CCl4 treatment were determined by Western blotting. Higher migrating band in the middle panel corresponds to the exogenous Yap (due to the in-frame triple flag tag). (E and F) Heatmaps showing the RNA-sequencing data for genes enriched in embryonic tissues (E) or progenitor markers (F). Hepatocytes were sorted from wild type livers (WT) or from YapKIAlb-Cre livers based on GFP levels (Lo and Hi), at steady state (SS) or on day 4 after CCl4 treatment (CCl4). The fold change is calculated between the indicated samples and wild type in steady state. (G and H) Flow cytometric analysis of primary hepatocytes isolated by collagenase perfusion from CCl4-treated control (WT) or YapKIAlb-Cre (KI) mice. (G) Representative flow cytometry plots gated of CD45− CD31− population. The numbers on the plots indicate the percentages of the gated population (EpCam+ progenitors). (H) The results from (G) were combined with the total hepatocyte numbers to calculate the number of hepatic EpCam+ progenitors per liver.

https://doi.org/10.7554/eLife.02948.028

The transcriptional repression was not global: a number of genes expressed predominantly during embryogenesis (Pan et al., 2013) were induced in Yaphigh hepatocytes, and this effect was strongly enhanced by injury (Figure 6E). In addition, several hepatocyte progenitor markers were upregulated in Yaphigh cells after injury, and some of them were already elevated in the steady state (Figure 6F). FACS staining of liver cells isolated on day 4 post-CCl4 confirmed expansion of CD45− CD31− EpCam+ hepatic progenitors in YapKI;AlbCre livers (Figure 6G,H). These data are in line with the recent report by Yimlamai et al. (2014).

Altogether, these data suggest that Yap cooperates with injury signals to repress hepatocyte differentiation and promote a progenitor phenotype.

Excessive Yaphigh cells are eliminated during repair resolution phase

The expansion of Yaphigh cells induced by CCl4 did not persist, and by day 14 after the treatment, the proportion of Yaphigh cells per liver returned to the average value of the untreated group (Figure 3D). Yaphigh cells formed a ring of only 1–2 cell layers around CVs, in contrast to multiple layers observed on day 4 (Figure 3A), indicating that the Yaphigh cell pool underwent contraction. TUNEL staining suggested that the contraction was mediated by apoptosis: the number of TUNEL positive cells was markedly elevated in the YapKIAlb-Cre livers specifically around the CV on day 4 after CCl4 treatment (Figure 7A). Accordingly, RNA sequencing revealed a number of pro-apoptotic genes (e.g., Bok, Bax, NGFRAP1, and Tnfrsf10b (Dr5)) (Figure 7B) upregulated as a consequence of Yap overexpression and further induced after damage. We verified by qPCR that Dr5 gene expression was strongly upregulated in the Yaphigh cells after CCl4 (Figure 7C,D). Indeed, Yaphigh cells sorted from CCl4-treated livers were more sensitive to killing mediated by TRAIL in vitro, compared to WT or GFPlow counterparts (Figure 7E), suggesting that Yap activation sensitizes hepatocytes to Dr5-mediated cell death. This higher sensitivity to cell death was induced by a combination of injury and Yap overexpression, as it was not observed neither in Yaphigh hepatocytes isolated from untreated mice nor in WT hepatocytes from CCl4 livers.

Figure 7
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Yap sensitizes hepatocytes to TRAIL-mediated apoptosis.

(A) Cell death as reflected by TUNEL-positive cell numbers quantified outside the CV zone (‘outside’) and around CV (‘damage site’) in liver sections of YapKIAlb-Cre mice on day 4 after CCl4 treatment. 3–4 mice were used for each group and 3–4 images were taken from each mouse. Each dot represents cell count from each image. (B) RPKM data from RNA-sequencing illustrating expression of apoptosis-related genes in WT or Yaphigh (Hi) hepatocytes sorted from untreated (SS) livers or on day 4 after CCl4 treatment (CCl4). (C and D) Dr5 mRNA levels in WT and YapKIAlb-Cre livers (KI) at indicated time points after CCl4 treatment were determined by qPCR in whole liver extracts (C), or in primary hepatocytes sorted by flow cytometry based on GFP levels from steady-state livers (SS) or on day 4 after CCl4 treatment (CCL4) (D). 2–3 mice were used for each group. *p ≤ 0.05. (E) Primary hepatocytes sorted as in (D) were cultured on collagen-coated plates with or without TRAIL, and cell viability measured by CellTiter-Blue the next day. 3–4 mice were used for each group and 3–4 wells were seeded with hepatocytes from each mouse. Each dot represents reading from each well.

https://doi.org/10.7554/eLife.02948.030

In summary, the expanded population of Yaphigh cells contracts to baseline at later stages of the tissue injury response. This process is likely mediated, in part, by sensitization of Yaphigh cells to TRAIL-induced apoptosis via upregulation of Dr5.

Discussion

Yap has emerged as a central mediator of signals promoting proliferation, survival, and stemness (Barry and Camargo, 2013). Not surprisingly, an expanding number of pathways restricting the pro-growth potential of Yap have been identified, including the Hippo pathway, the actin cytoskeleton and cell junction complexes (Boggiano and Fehon, 2012), C/EBPa, and Trib2 (Wang et al., 2013). Despite these multifactorial control mechanisms, mere overexpression of Yap in the whole liver in mouse models leads to hyperplasia, organomegaly, dedifferentiation, and cancer (Camargo et al., 2007; Dong et al., 2007; Schlegelmilch et al., 2011), raising a question as to whether some layer of homeostatic growth control may be lacking in such models. Organ-wide Yap activation in the liver does occur during embryonic development (Septer et al., 2012) and adaptive hepatomegaly (Kowalik et al., 2011). Interestingly, these are also examples of physiologically relevant settings of liver size increase. Transgenic Yap overexpression in the entire liver may thus be viewed as a model of these physiological scenarios. In contrast, during response to a localized injury, only the cells within the damage site need to proliferate, and Yap activation in this case should conform to the physiological organ size limits. Our study suggests that under these circumstances, activation of a pro-growth gene program by Yap requires an additional local signal (e.g., growth factor, cytokine, or release of contact inhibition) provided by the injury. Our preliminary data implicate IL-6 as at least one of such signals (Figure 5—figure supplement 1). Proto-oncogenes typically require two signals in order to induce proliferation. In case of Yap, which acts as a sensor of cell density, its overexpression mimics a condition in which a cell has lost its contacts with the neighbors. This in itself should not induce proliferation unless cell-extrinsic signals of tissue damage such as inflammatory cytokines are also present. The mechanism of cooperation between activation of Yap and injury/inflammatory signals may occur at the level of gene expression, as many proliferation genes have TEAD as well as NFkB binding sites (Figure 5—figure supplement 2). While it is also possible that cooperation is mediated by increased Yap stability or recruitment of TEAD, this possibility is less likely as we observed induction of high number of TEAD-dependent genes in Yap-overexpressing hepatocytes whereas proliferation genes were not induced.

Our data suggest that the tissue environment imposes a selective pressure on cells that activate Yap. The mosaic model of Yap induction described here reveals selective pressures that determine the fate of Yaphigh hepatocytes: no growth advantage at steady state, positive selection during early stages of tissue injury, and negative selection at later stages when injury induced signals subside. The mechanisms opposing clonal expansion of Yaphigh hepatocytes under homeostatic conditions may have many components, but one implicated by our data is apoptosis. Pro-apoptotic effects of Yap have been extensively documented in vitro (Strano et al., 2001; Lapi et al., 2008; Tomlinson et al., 2010), and increased apoptosis has been reported in Mst1/2-deficient mouse livers (Lu et al., 2010), but to our knowledge there has been no evidence of Yap promoting cell death in vivo. We show that Yap activation in the mouse liver leads to increased apoptosis in vivo and sensitization to TRAIL measured ex vivo. The induction of proliferation or apoptosis by Yap is modulated by tissue damage and inflammatory signals. This is analogous to the well-characterized functions of c-myc, which is also known induce proliferation or apoptosis, depending on growth factor availability (Evan et al., 1992; Harrington et al., 1994). These examples may represent a general principle of mitogenic pathway design, aimed at elimination of aberrant cells.

YapKIAlb-Cre mice display many features described in other in vivo models of Yap induction, including increased proliferation, dedifferentiation, and activation of TEAD target genes. However, the unexpected phenotype unique to YapKIAlb-Cre mice is that the pro-growth effects of Yap are only manifested in a state of altered homeostasis, such as tissue injury or inflammation. These differences are unlikely to be due to an insufficient level of Yap expression, as a large number of genes are highly induced by Yap under steady-state conditions in YapKIAlb-Cre mice. One relevant difference may be mosaic vs tissue-wide Yap activation. We show that mosaic deletion of Mst2 in Mst1−/− background does not lead to clonal expansion or liver size increase. Furthermore, in another mouse model recently reported by Camargo et al. (Yimlamai et al., 2014) while this manuscript was under consideration, mosaic Yap activation in hepatocytes did not induce proliferation of clonal expansion in the first weeks. Instead, it promoted hepatocyte dedifferentiation into progenitors, which then expanded. Taken together, these results suggest that activation of Yap in hepatic progenitor cells is sufficient for clonal expansion but in mature hepatocytes it requires the second signal to drive proliferation. Another possible cause of different phenotypes may lie in different levels of inflammation between our mouse model and the whole liver transgenics. Of note, livers with a hepatocyte-specific ablation of Mst1/2 or Sav (both of which result in Yap activation) have elevated expression of immune response genes, including TNFa and IL-6 (Lu et al., 2010). Many variables may contribute to differences in systemic inflammation. One likely contributor is the intestinal microbiome composition, which varies greatly across mouse facilities (Bleich and Hansen, 2012) and can induce inflammatory responses in the liver (Henao-Mejia et al., 2012). Another source of inflammation in case of whole-liver Yap overexpression may be the disruption of systemic metabolism due to Yap-mediated repression of liver-specific genes ([Yimlamai et al., 2014] and our RNA-sequencing analysis). As liver-specific genes are still expressed at normal levels in a large fraction of hepatocytes (Yaplow cells), systemic metabolism is not compromised in YapKIAlb-Cre mice. It is therefore possible that the level of systemic inflammation is low in our mice, and this is why they require an exogenous inflammatory signal to enable Yap pro-growth effects. Inflammation is an essential component of carcinogenesis (Ben-Neriah and Karin, 2011) and anti-inflammatory treatments can inhibit aberrant proliferation and delay tumor development (Pribluda et al., 2013). Inflammation can promote tumor development through multiple mechanisms (Ben-Neriah and Karin, 2011), including provision of a permissive signal for proliferation in the settings of disturbed homeostasis (Bondar and Medzhitov, 2013; Pribluda et al., 2013).

Our RNA-sequencing analysis has revealed two important functions of Yap in hepatocytes: first, the largest category of Yap-regulated genes is related to ECM and cell adhesion. These transcriptional targets of Yap appear to be the most common across many cell types and contexts of Yap activation; for example, the gene widely used as a hallmark of Yap activation is a matricellular growth factor CTGF. Since loss of cell contacts is known to activate Yap, it makes sense that Yap induces a restorative transcriptional program. Second, Yap strongly suppresses liver-specific genes in response to injury. Hepatocytes are known to downregulate liver-specific transcripts as they enter the cell cycle during liver regeneration (Ito et al., 1991). Proliferation and tissue-specific activities are often segregated between progenitor and differentiated cells, especially in tissues with high cell turnover. This suggests that extensive proliferation may be generally incompatible with specialized tissue functions.

In conclusion, tissue remodeling, cell cycle progression, and repression of tissue-specific functions all need to be orchestrated in response to injury, and our findings suggest Yap as a key coordinator of these activities during tissue repair. Furthermore, our data highlight the role of tissue microenvironment in the outcome of Yap activation and argue that during homeostasis, growth-promoting function of Yap in differentiated cells requires an additional signal, which may be provided by inflammation or injury.

Materials and methods

Generation of YapKI and YapCKO mice

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To generate the YapKI and YapCKO lines, targeting vectors were designed and constructed as shown in Figure 1—figure supplement 1A and Figure 4—figure supplement 1. NM-001171147 mouse Yap1 isoform with introduced S112A mutation (corresponding to S127A of the human protein) was used to generate YapKI allele. After the successful construction of the targeting vectors, the purified plasmid DNA was linearized and transfected into the C57BL/6-derived Bruce4 ES cells. Correct recombination and replacement of the DNA were verified by Southern blots. Selected clones were expanded and submitted to the Yale Transgene Facility for injections into BALB/c blastocysts to generate chimeric mice. In case of the YapCKO line, mice with the germline-transmitted Yap floxed allele were then crossed to Flp-deleter transgenic mice (ENCODE Project Consortium, 2011) to remove the neomycin cassette.

Mouse treatments

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Animals were maintained at the Yale Animal Resources Center. All animal experiments were performed with approval by the Institutional Animal Care and Use Committee of Yale University. All mice were on C57BL/6 background. AlbCre mice were from Jackson Laboratory. For BrdU staining, daily intraperitoneal (i.p.) injections of BrdU (Sigma, St. Louis, MO; 100 μg/mouse) were performed for 3 days before liver dissection. Liver damage was induced by i.p. injection of CCl4 (Sigma, 1 μl/g, diluted 1:10 with peanut oil). For the LLC-IL-6 experiment, 1 million LLC cells stably expressing mouse IL-6 or empty vector were injected into each flank of 1- to 1.5-month-old YapKIAlb-Cre mice. 2–3 weeks later when tumors reached approximately 1 cm in diameter, the mice were eye-bled for IL-6 ELISA and sacrificed for hepatocyte cell preparation. For the in vivo deletion of Mst2flox/flox allele, AdCMVCre-RSV-GFP adenovirus from KeraFast was amplified in 293A cells, purified by ViraPur kit, dialized against PBS and injected into the tail vein of the 1- to 2-month-old Mst1−/− Mst2flox/flox mice.

Immunofluorescence microscopy

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Liver lobes were fixed in 4% PFA overnight and embedded in paraffin. Sections were deparaffinized and heated for 20 min at 95°C for antigen retrieval in Tris-EDTA buffer pH 9.

TUNEL staining was performed using In Situ Cell Death Detection Kit (Roche, Germany).

For GFP, Yap, and GS immunofluorescence staining, samples were then blocked in TBS-T with 3% BSA for 2 hr (staining buffer), incubated with the primary antibody overnight and with the secondary antibody for 1 hr. For BrdU staining, after the described steps, the samples were fixed in 4% PFA in PBS for 20 min at RT. DNA was then denatured in 2 N HCl for 30 min at 37°C. After neutralization with 0.1 M sodium tetraborate, the sections were stained with mouse anti-BrdU antibodies for 2 hr and visualized with flourophore-conjugated anti-mouse secondary antibodies. The slides were mounted in Vectashield anti-fade media containing Hoescht dye to counterstain the nuclei. 20–30 20× tiled images were obtained using Zeiss Axioplan microscope and AxioVision software. Cells were counted manually in AxioVison software. Only hepatocytes (as determined by morphology and GFP expression where applicable) were scored for BrdU quantification.

Hepatocyte FACS

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Primary hepatocytes were prepared by collagenase perfusion at Yale Liver Center. Hepatocytes were washed twice with FACS buffer (2 mM EDTA, 2% FBS in PBS), stained with 7-Aminoactinomycin D (7AAD) or propidium iodide, and analyzed on BD Accuri or LSRII, or sorted on MoFlo cytometers. Samples were gated on live hepatocytes based on forward and side scatter and live dye exclusion.

RNA sequencing analysis

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Duplicate hepatocyte samples were prepared in several independent experiments. Each of the duplicates contained material pooled from multiple mice. Hepatocytes were isolated by flow cytometry, and RNA was extracted using RNeasy kit (Qiagen, Germany). 1–10 μg of each sample was submitted to the Yale Center of Genome Analysis.

Sequencing libraries were constructed and were sequenced by Illumina Hiseq 2500 with 76 bp single-end reads, which generated 20 million raw reads per sample on average. After removing the low-quality reads (around 0.18% of all reads) and low-quality portions (Q value <30) of each of the raw reads, the RNA-sequencing data for each sample were mapped to the GRCm38/mm10 mouse reference first. The GRCm38 reference was downloaded from the Mouse Genome Informatics (MGI). The mapping was performed using TopHat v2.0.8, allowing two mismatches. The percentages of mapped reads were 71.16% on average (from 70.00% to 73.79%). After mapping, Cufflinks v2.0.2 was applied to assemble and quantify the transcripts and discover the differentially expressed genes, with the annotated gene information from the MGI. The gene expression values were calculated for each sample based on the number of fragments per kilobase of exon per million reads mapped (FPKM). The significance of differential expression of genes was detected using Cuffdiff for all comparisons of every two samples.

To select differentially expressed genes, the average of two biological replicates was compared between the conditions examined. To select genes with significant activation or repression in any comparison, the p-value of 0.005 was used together with a fold-change threshold of twofold. A pseudocount of 0.01 was added to RPKM value of each gene as a sequencing background, to avoid inflated fold change caused by lowly expressed genes.

Gene functional analysis

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Gene functional analysis was performed with the DAVID functional annotation tools (Huang et al., 2009a, 2009b) (http://david.abcc.ncifcrf.gov). The p-value was adjusted with Benjamini methods for multiple hypothesis testing.

Analysis of tissue-specific genes

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Tissue-specific genes were obtained from Pattern Gene Database (Pan et al., 2013) (http://bioinf.xmu.edu.cn/PaGenBase). Genes expressed specifically (only in one tissue) and selectively (only in a group of samples) were pooled together as the tissue-specific genes in our analysis. Liver-specific genes are identified from mouse liver sample, and mouse embryo specific genes are identified from mouse day 9.5 embryo sample.

Transcription factor binding analysis

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Genome-wide binding of Tead4 (identified by ChIP-sequencing) was retrieved from the ENCODE Project Consortium (2011). The uniform peaks determined in all available samples (HepG2 cell line, K562 cell line, and hESC) were combined, and genes whose TSS is within 10 kb distance from any Tead4 uniform peak were defined as Tead4-associated genes. Hg19 genome annotation was downloaded from the UCSC database (Karolchik et al., 2014).

TRAIL sensitivity assay

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Primary hepatocytes were plated in collagen-coated wells in Williams' E medium (WEM) supplemented with 5% FCS, 10 mM HEPES, 2 mM L-glutamine, 10 mM penicillin/streptomycin, 8 μg/ml gentamicin, 100 μg/ml chloramphenicol, 100 nM dexamethasone, and 1 nM Insulin. 4 hr after plating, the medium was changed to the supplemented WEM without chloramphenicol and dexamethasone. On the second day cells were treated with recombinant TRAIL (R&D Systems, Minneapolis, MN) overnight. Viable cell number was measured by the CellTiter-Blue assay (Sigma) according to the manufacturer protocol.

Western blotting

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Whole liver tissue was snap frozen in liquid nitrogen, homogenized, and resuspended in TNT buffer (0.1 M Tris-HCL pH 7.5, 150 mM NaCl, 0.1% Tween20) supplemented with the Complete protease inhibitors (Roche) and cleared by centrifugation at 100×g. Protein concentration in the supernatants was normalized using Bradford reagent. 15 μg of the extracts were separated on a gradient SDS-PAGE gel and transferred to PVDF membrane. After blocking with 3% BSA in TBST buffer, the membranes were probed with antibodies to Yap (Cell Signaling, Beverly, MA), glutamine synthase (Genscript, Piscataway, NJ), and beta-actin (Sigma).

ALT test

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ALT tests were performed using ALT activity assay (Sigma) according to the manufacturer's protocol.

Real-time PCR

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RNA was extracted with RNA-bee, and cDNA synthesis was performed using SMART MMLV reverse transcriptase according to the manufacturers' protocols. Real time PCR was performed in triplicates using Quanta SYBR reagent on C1000 Thermal Cycler (BioRad, Hercules, CA). Primer sequences are listed in the Supplementary file1.

Liver genomic PCR

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Three 1 mm3 pieces of liver tissue per mouse were digested with Pronase overnight, and genomic DNA isolated by NaCl/ethanol precipitation. The three DNA samples for each mouse were pooled and used at fourfold dilutions to amplify the Rag2 or recombined Stk3flox/flox alleles using Taqman polymerase.

Enzyme linked immunosorbent assay (ELISA)

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Paired antibodies against IL-6 were purchased from BD Biosciences to perform ELISA.

Statistical analysis

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All statistical analysis was performed by two tailed unpaired Student's t test, unless specified otherwise.

Accession numbers

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The RNA sequencing data have been deposited to GEO database under the accession number GSE65207.

Data availability

The following data sets were generated
    1. Su T
    2. Bondar T
    3. Zhou X
    4. Zhang C
    5. He H
    6. Medzhitov R
    (2015) RNA sequencing data
    Publicly available at NCBI Gene Expression Omnibus (GSE65207).
    http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65207

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Article and author information

Author details

  1. Tian Su

    Department of Immunobiology, Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, United States
    Contribution
    TS, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article
    Contributed equally with
    Tanya Bondar
    Competing interests
    The authors declare that no competing interests exist.

  2. Tanya Bondar

    Department of Immunobiology, Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, United States
    Contribution
    TB, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article
    Contributed equally with
    Tian Su
    Competing interests
    The authors declare that no competing interests exist.

  3. Xu Zhou

    Department of Immunobiology, Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, United States
    Contribution
    XZ, Performed bioinformatic analysis of RNA-seq data to identify enrichment in transcription factor binding sites in the promoters and enhancers of Yap-regulated genes under normal conditions and in response to liver damage
    Competing interests
    The authors declare that no competing interests exist.

  4. Cuiling Zhang

    Department of Immunobiology, Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, United States
    Contribution
    CZ, Performed experiments with MST1/MST2 deficient mice, CCL4 treated mice, as well as experiments with mice injected with IL-6 transfected LLCs
    Competing interests
    The authors declare that no competing interests exist.

  5. Hang He

    Peking-Yale Joint Center for Plant Molecular Genetics and Agro-Biotechnology, National Laboratory of Protein Engineering and Plant Genetic Engineering, College of Life Sciences, Peking University, Beijing, China
    Contribution
    HH, Processed raw RNA-seq data, Performed bioinformatic and statistical analysis
    Competing interests
    The authors declare that no competing interests exist.

  6. Ruslan Medzhitov

    Department of Immunobiology, Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, United States
    Contribution
    RM, Conception and design, Analysis and interpretation of data, Drafting or revising the article
    For correspondence
    ruslan.medzhitov@yale.edu
    Competing interests
    The authors declare that no competing interests exist.

Funding

Howard Hughes Medical Institute (HHMI)

  • Ruslan Medzhitov

National Cancer Institute (NCI) (CA157461)

  • Tian Su
  • Tanya Bondar
  • Xu Zhou
  • Cuiling Zhang
  • Ruslan Medzhitov

National Institute of Allergy and Infectious Diseases (NIAID) (AI046688)

  • Tanya Bondar
  • Xu Zhou
  • Cuiling Zhang
  • Ruslan Medzhitov

Jane Coffin Childs Foundation

  • Xu Zhou

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

We thank Kathy Harry from Yale Liver Center for primary hepatocyte preparation, Gouzel Tokmoulina for assistance with hepatocyte sorting, Timothy Nottoli for help with generation of transgenic mice, Charles Anicelli, Sophie Cronin, and Steven Zhu for technical assistance with mouse treatments and colony maintenance, Raj Chovatiya for the critical reading of the manuscript, and all members of the Medzhitov lab for helpful discussions. This work was supported by the Howard Hughes Medical Institute and a grant from NIH to RM, a postdoctoral fellowship from the Jane Coffin Childs Foundation to XZ, and by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health under Award Number P30KD034989 (Yale Liver Center).

Ethics

Animal experimentation: All animal experiments were performed with approval by the Institutional Animal Care and Use Committee of Yale University (protocol # 2014-08006).

Copyright

© 2015, Su et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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  1. Tian Su
  2. Tanya Bondar
  3. Xu Zhou
  4. Cuiling Zhang
  5. Hang He
  6. Ruslan Medzhitov
(2015)
Two-signal requirement for growth-promoting function of Yap in hepatocytes
eLife 4:e02948.
https://doi.org/10.7554/eLife.02948

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