The nuclear receptor peroxisome proliferator-activated receptor ␥ (PPAR␥) is a key regulator of adipocyte differentiation in vivo and ex vivo and has been shown to control the expression of several adipocyte-specific genes. In this study, we used chromatin immunoprecipitation combined with deep sequencing to generate genome-wide maps of PPAR␥ and retinoid X receptor (RXR)-binding sites, and RNA polymerase II (RNAPII) occupancy at very high resolution throughout adipocyte differentiation of 3T3-L1 cells. We identify >5000 high-confidence shared PPAR␥:RXR-binding sites in adipocytes and show that during early stages of differentiation, many of these are preoccupied by non-PPAR␥ RXR-heterodimers. Different temporal and compositional patterns of occupancy are observed. In addition, we detect co-occupancy with members of the C/EBP family. Analysis of RNAPII occupancy uncovers distinct clusters of similarly regulated genes of different biological processes. PPAR␥:RXR binding is associated with the majority of induced genes, and sites are particularly abundant in the vicinity of genes involved in lipid and glucose metabolism. Our analyses represent the first genome-wide map of PPAR␥:RXR target sites and changes in RNAPII occupancy throughout adipocyte differentiation and indicate that a hitherto unrecognized high number of adipocyte genes of distinctly regulated pathways are directly activated by PPAR␥:RXR.[Keywords: Peroxisome proliferator activated receptor; nuclear receptor; ChIP-seq; adipocyte differentiation] Supplemental material is available at http://www.genesdev.org. Adipogenesis is one of the best characterized differentiation processes. Several preadipocyte cell culture models have been developed and used to carefully dissect the sequence of molecular events governing the adipogenic process. Among these adipogenic cell lines, the murine 3T3-L1 preadipocyte cell line (Green and Kehinde 1974) represents one of the best characterized models. Upon addition of adipogenic inducers, including glucocorticoids, cAMP elevating agents, and insulin/insulin-like growth factor, these cells undergo one to two rounds of mitotic clonal expansion followed by growth arrest and terminal differentiation. Several gain-and loss-of-function experiments have revealed an intricate interplay of activating and inhibitory signals involved in the regulation of the adipogenic process (MacDougald and Mandrup 2002;Rosen and MacDougald 2006).The nuclear receptor peroxisome proliferator-activated receptor ␥ (PPAR␥; NR1C3) is an obligatory key regulator of adipocyte differentiation in vivo as well as ex vivo (Farmer 2006). In addition, PPAR␥ acts as a transcriptional activator of many adipocyte-specific genes involved in lipid synthesis, handling and storage of lipids, growth regulation, insulin signaling, and adipokine production (Lehrke and Lazar 2005). PPAR␥ is also necessary for maintenance of the adipocyte phenotype and for survival of adipocytes in white adipose tissue in vivo

Glucocorticoid receptor (GR) exerts anti-inflammatory action in part by antagonizing proinflammatory transcription factors such as the nuclear factor kappa-b (NFKB). Here, we assess the crosstalk of activated GR and RELA (p65, major NFKB component) by global identification of their binding sites and target genes. We show that coactivation of GR and p65 alters the repertoire of regulated genes and results in their association with novel sites in a mutually dependent manner. These novel sites predominantly cluster with p65 target genes that are antagonized by activated GR and vice versa. Our data show that coactivation of GR and NFKB alters signaling pathways that are regulated by each factor separately and provide insight into the networks underlying the GR and NFKB crosstalk.

Smyd3 is a protein methyltransferase implicated in cancer development. Here we show that Smyd3 expression in mice is required for chemically induced liver and colon cancer formation. In these organs Smyd3 functions in the nucleus, stimulating the transcription of several key regulators involved in cell proliferation, epithelial-mesenchymal transition, the JAK/Stat3 oncogenic pathway, as well as the Myc and Ctnnb1 oncogenes. Smyd3 interacts with H3K4Me3-modified histone tails, which facilitates its recruitment to the core promoter regions of most active genes. Smyd3 binding density on target genes positively correlates with increased RNA polymerase-II density and transcriptional outputs. Despite its widespread distribution, the transcription-potentiating function of Smyd3 is restricted to a particular set of genes, whose expression is induced specifically during carcinogenesis.

RNA-Seq is gradually becoming the standard tool for transcriptomic expression studies in biological research. Although considerable progress has been recorded in the development of statistical algorithms for the detection of differentially expressed genes using RNA-Seq data, the list of detected genes can differ significantly between algorithms. We present a new method (PANDORA) that combines multiple algorithms toward a summarized result, more efficiently reflecting true experimental outcomes. This is achieved through the systematic combination of several analysis algorithms, by weighting their outcomes according to their performance with realistically simulated data sets generated from real data. Results supported by the analysis of both simulated and real data from different organisms as well as correlation with PolII occupancy demonstrate that PANDORA improves the detection of differential expression. It accomplishes this by optimizing the tradeoff between standard performance measurements, such as precision and sensitivity.

Transcriptome analysis by RNA-seq technology allows novel insights into gene expression and regulatory networks in health and disease. To better understand the molecular basis of renal fibrosis, we performed RNA-seq analysis in the Unilateral Ureteric Obstruction (UUO) mouse model. We analysed sham operated, 2-and 8-day post-ligation renal tissues. Thousands of genes with statistical significant changes in their expression were identified and classified into cellular processes and molecular pathways. Many novel protein-coding genes were identified, including critical transcription factors with important regulatory roles in other tissues and diseases. Emphasis was placed on long non-coding RNAs (lncRNAs), a class of molecular regulators of multiple and diverse cellular functions. Selected lncRNA genes were further studied and their transcriptional activity was confirmed. For three of them, their transcripts were also examined in other mouse models of nephropathies and their up-or downregulation was found similar to the UUO model. In vitro experiments confirmed that one selected lncRNA is independent of TGFβ or IL1b stimulation but can influence the expression of fibrosis-related proteins and the cellular phenotype. These data provide new information about the involvement of protein-coding and lncRNA genes in nephropathies, which can become novel diagnostic and therapeutic targets in the near future.Chronic kidney disease (CKD) is a frequent condition, causing severe long-term effects with devastating personal and societal consequences 1-3 . There is a need for novel approaches to prevent the decline in renal function during progression of CKD. Considering that the structural basis for this decline is the development of fibrosis, we believe that understanding the molecular basis of renal fibrosis, could offer valuable insights for the improvement of monitoring techniques and therapeutic interventions.To address this question, we combined a systems biology approach in animal models for renal fibrosis, focusing on (but not limited to) the unilateral ureteric obstruction (UUO) model 4,5 . We identified the full transcriptome of renal tissue, using the RNA-seq methodology, during early and late time intervals of kidney fibrosis. This methodology allows the identification of new protein-coding transcripts and novel non-coding RNA transcripts 6 . This is an exciting new direction, since about 75% of the mammalian genome (including human) is transcribed but not translated into proteins, and certain types of non-coding RNAs, especially long non coding RNAs (lncRNAs), play critical regulatory roles in many biological processes 7,8 . However, no data are currently available on the full transcriptome analysis of renal tissue from the UUO model in mice. By performing whole transcriptome sequencing and thorough bioinformatics analysis, we gathered novel information regarding up-regulated and down-regulated genes, pathways and biological processes, and we made lists of differentially expressed genes not suspected so far to be i...

PR-SET7-mediated histone 4 lysine 20 methylation has been implicated in mitotic condensation, DNA damage response and replication licensing. Here, we show that PR-SET7 function in the liver is pivotal for maintaining genome integrity. Hepatocyte-specific deletion of PR-SET7 in mouse embryos resulted in G2 phase arrest followed by massive cell death and defect in liver organogenesis. Inactivation at postnatal stages caused cell duplication-dependent hepatocyte necrosis, accompanied by inflammation, fibrosis and compensatory growth induction of neighboring hepatocytes and resident ductal progenitor cells. Prolonged necrotic regenerative cycles coupled with oncogenic STAT3 activation led to the spontaneous development of hepatic tumors composed of cells with cancer stem cell characteristics. These include a capacity to self-renew in culture or in xenografts and the ability to differentiate to phenotypically distinct hepatic cells. Hepatocellular carcinoma in PR-SET7-deficient mice displays a cancer stem cell gene signature specified by the co-expression of ductal progenitor markers and oncofetal genes.

The canonical Wnt pathway plays a central role in stem cell maintenance, differentiation, and proliferation in the intestinal epithelium. Constitutive, aberrant activity of the TCF4/β-catenin transcriptional complex is the primary transforming factor in colorectal cancer. We identify a nuclear long non-coding RNA, termed WiNTRLINC1, as a direct target of TCF4/β-catenin in colorectal cancer cells. WiNTRLINC1 positively regulates the expression of its genomic neighbor ASCL2, a transcription factor that controls intestinal stem cell fate. WiNTRLINC1 interacts with TCF4/β-catenin to mediate the juxtaposition of its promoter with the regulatory regions of ASCL2. ASCL2, in turn, regulates WiNTRLINC1 transcriptionally, closing a feedforward regulatory loop that controls stem cell-related gene expression. This regulatory circuitry is highly amplified in colorectal cancer and correlates with increased metastatic potential and decreased patient survival. Our results uncover the interplay between non-coding RNA-mediated regulation and Wnt signaling and point to the diagnostic and therapeutic potential of WiNTRLINC1.

The molecular events that drive Hepatitis B virus (HBV)-mediated transformation and tumorigenesis have remained largely unclear, due to the absence of a relevant primary model system. Here we propose the use of human liver organoids as a platform for modeling HBV infection and related tumorigenesis. We first describe a primary ex vivo HBV-infection model derived from healthy donor liver organoids after challenge with recombinant virus or HBV-infected patient serum. HBV infected organoids produced cccDNA, HBeAg, expressed intracellular HBV RNA and proteins, and produced infectious HBV. This ex vivo HBV infected primary differentiated hepatocyte organoid platform was amenable to drug screening for both anti-HBV activity as well as for drug-induced toxicity. We also studied HBV replication in transgenically modified organoids; liver organoids exogenously overexpressing the HBV receptor NTCP after lentiviral transduction were not more susceptible to HBV, suggesting the necessity for additional host factors for efficient infection. We also generated transgenic organoids harboring integrated HBV, representing a long-term culture system also suitable for viral production and the study of HBV transcription. Finally, we generated HBV-infected patient-derived liver organoids from non-tumor cirrhotic tissue of explants from liver transplant patients. Interestingly, transcriptomic analysis of patient-derived liver organoids indicated the presence of an aberrant early cancer gene signature, which clustered with the HCC cohort on the TCGA LIHC dataset and away from healthy liver tissue, and may provide invaluable novel biomarkers for the development of HCC and surveillance in HBV infected patients.