Project description:Activation of JAK-STAT3 signaling by leukemia inhibitory factor (LIF) is required for maintaining self-renewal of mouse embryonic stem cells (mESCs). STAT3 perform cell type-specific roles in different cell type, here we revisit the role of STAT3 using mouse female germ stem cell (mFGSCs). We applied CRISPR/Cas9 system to generate Stat3 knockout FGSCs and then observed cell growth inhibition and cell cycle arrest in KO cell line. By combining genome wide ChIP-Seq and RNA-Seq, we identified 5990 STAT3 binding sites and discovered serval genes specific regulated by STAT3 that were involved in stem cell proliferation and female gonad development in FGSCs. In general, we identify key roles of STAT3 for sustains self-renewal and proliferation for FGSCs in this study.
Project description:Activation of JAK-STAT3 signaling by leukemia inhibitory factor (LIF) is required for maintaining self-renewal of mouse embryonic stem cells (mESCs). STAT3 perform cell type-specific roles in different cell type, here we revisit the role of STAT3 using mouse female germ stem cell (mFGSCs). We applied CRISPR/Cas9 system to generate Stat3 knockout FGSCs and then observed cell growth inhibition and cell cycle arrest in KO cell line. By combining genome wide ChIP-Seq and RNA-Seq, we identified 5990 STAT3 binding sites and discovered serval genes specific regulated by STAT3 that were involved in stem cell proliferation and female gonad development in FGSCs. In general, we identify key roles of STAT3 for sustains self-renewal and proliferation for FGSCs in this study.
Project description:STAT3 is a transcription factor playing a crucial role in inflammation, immunity and oncogenesis, able to induce distinct subsets of target genes in different cell types or under different conditions. Identification of direct transcriptional targets however has only defined a relatively limited set of genes, not sufficient to explain its variegated functions. In order to improve our understanding of the STAT3 transcriptional network we decided to develop a computational approach for the discovery of STAT3 functional binding sites. Upon generating a Positional Weight Matrix to define STAT3 binding sites, we applied a loglikelihood ratio scoring function and were able to assign affinity scores with very high specificity (93.5%) as measured by EMSA. STAT3 binding sites scoring above a stringent threshold have been identified genome-wide in Homo sapiens and Mus musculus and selected for phylogenetic conservation by genomic sequence alignment using eight vertebrate species. Validation was carried out on a subset of predicted sites within genes previously identified as STAT3-responsive by microarray analysis. The high percentage of sites able to bind STAT3 in vivo, as assessed by Chromatin Immunoprecipitation (ChIP) analysis, revealed the high predictive power of our method.
Project description:We report a map of Stat3 binding sites in C6 rat glioma cells. The data was obtained using whole genome technology using NimbleGen microarrays. Examination of Stat3 binding sites in C6 rat glioma cell line
Project description:STAT3 is a major transcription factor driving the polarization of Th17 cells in response to IL-6, TGF-β and IL1-β. STAT3 is phosphorylated and forms a homodimer and translocates into the nucleus. There STAT3 binds to specific DNA sequences, regulating the transcription of its target genes. Here we have analyzed on a genome wide level the STAT3 binding sites, after 0.5h and 4h of IL-6, TGF-β and IL1-β induction, in naive human CD4+ T cells. Altogether 2 samples from 1 biological replicate were analyzed.
Project description:STAT3 is a transcription factor playing a crucial role in inflammation, immunity and oncogenesis, able to induce distinct subsets of target genes in different cell types or under different conditions. Identification of direct transcriptional targets however has only defined a relatively limited set of genes, not sufficient to explain its variegated functions. In order to improve our understanding of the STAT3 transcriptional network we decided to develop a computational approach for the discovery of STAT3 functional binding sites. Upon generating a Positional Weight Matrix to define STAT3 binding sites, we applied a loglikelihood ratio scoring function and were able to assign affinity scores with very high specificity (93.5%) as measured by EMSA. STAT3 binding sites scoring above a stringent threshold have been identified genome-wide in Homo sapiens and Mus musculus and selected for phylogenetic conservation by genomic sequence alignment using eight vertebrate species. Validation was carried out on a subset of predicted; sites within genes previously identified as STAT3-responsive by microarray analysis. The high percentage of sites able to bind STAT3 in vivo, as assessed by Chromatin Immunoprecipitation (ChIP) analysis, revealed the high predictive power of our method. Experiment Overall Design: Three prototypic situation were investigated using two replications for each experimental point: STAT3+/+ versus STAT3-/- MEFs , STAT3+/+ versus STAT3+/+ treated with OSM and STAT3-/- versus STAT3-/- treated with OSM.
Project description:STAT3 is a major transcription factor driving the polarization of Th17 cells in response to IL-6, TGF-β and IL1-β. STAT3 is phosphorylated and forms a homodimer and translocates into the nucleus. There STAT3 binds to specific DNA sequences, regulating the transcription of its target genes. Here we have analyzed on a genome wide level the STAT3 binding sites, after 0.5h and 4h of IL-6, TGF-β and IL1-β induction, in naive human CD4+ T cells.
Project description:∼40,000 HNF6 binding sites were identified in mouse liver chromatin, including several thousand sites showing significant differences in level of HNF6 binding between male and female mouse liver. These sex-biased HNF6 binding sites showed strong enrichment for sex-biased DNase hypersensitive sites and for proximity to genes showing local sex-biased chromatin marks and a corresponding sex-biased expression. ~90% of genome-wide CUX2 binding sites identified previously in female mouse liver (Conforto TL, Zhang Y, Sherman J, Waxman DJ., Mol Cell Biol. 2012;32(22):4611-4627) were also bound by HNF6, giving evidence for genome-wide competition between HNF6 and CUX2 for chromatin binding in female mouse liver. These HNF6/CUX2 common binding sites were enriched for genomic regions more accessible in male than in female mouse liver chromatin, and showed strongest enrichment for male-biased genes, suggesting HNF6 displacement by CUX2 as a mechanism to explain the observed CUX2 repression of male-biased genes in female liver. However, HNF6 binding was sex-independent at a majority of its binding sites, and peak regions of HNF6 binding were frequently associated with co-binding by multiple other liver transcription factors, consistent with HNF6 playing a global regulatory role in both male and female liver.
Project description:We report a map of Stat3 binding sites in C6 rat glioma cells. The data was obtained using whole genome technology using NimbleGen microarrays.