Project description:We report ChIP-seq and ChIP-exo data for GR in liver tissue isolated from WT and GRdim mice. Comparison of the mouse models reveals that GR interacts with the genome as both a monomer and dimer. Examination of GR, RNAPII and CEBPb binding in WT and GRdim mice on a genome-wide scale
Project description:To determine whether insertion of a single amino acid had an effect on Glucocorticoid receptor (GR) occupancy, we performed ChIP-seq of GRalpha and GRgamma in the same U2OS osteosarcoma cell lines, upon glucocorticoid treatment. These assays are also part of submission E-MTAB-2955
Project description:We report ChIP-seq for C/EBPb and ATF4 in human mesenchymal stem cells and in a cell-free system using naked genomic DNA. ChIP-Seq for GR, RNA Polymerase II, and H3K27 acetylation in hMSCs cultured under different adipogenic conditions are also presented. hMSCs cultured at high or low cell seeding densities in the presence or absence of adipogenic induction cocktail
Project description:To identify the sequences responsible for recruitment of Glucocorticoid receptor (GR) to individual loci, we performed ChIP-seq in four cell lines : A549 (ATTC:CCL-185), Nalm-6 (ATCC:CRL-1567), immortalized mouse embryonic fibroblasts (MEFs)(PMID 21131905), and immortalized PCAF-/-; GCN5flox/ MEFs (PMID 21131905) upon glucocorticoid treatment (1.5 hrs, 1M dexamethasone).
Project description:To identify the sequences responsible for recruitment of Glucocorticoid receptor (GR) to individual loci, we performed ChIP-seq and ChIP-exo that combines chromatin immunoprecipitation with an exonuclease digestion step. We performed these experiments in three cell lines : IMR90 (ATTC:CCL-186), U2OS osteosarcoma cell lines, K562 (ATCC:CCL243), upon glucocorticoid treatment. The U2OS assays are the same as those in E-MTAB-2731.
Project description:We previously demonstrated by genomic and bioinformatical approaches that human macrophage (MΦ) activation is best described by a spectrum model (Xue et al, Immunity, 2014). MΦ integrate exogenous input signals on transcriptional level in a unique fashion to generate specific functional programs, enabling the plasticity in disease-related pathophysiologies. Such versatile responsiveness requires fast changes of transcription mediated by transcriptional regulators (TRs) or epigenomic changes. To better understand the principles of this regulation during human MΦ activation, we assessed histone modifications including H3K4me1, H3K4me3, H3K27me3, and H3K27Ac by ChIP-sequencing allowing us to characterize the functional state of promoters (active, poised, repressed) and enhancers (active, inactive, intermediate). Using transcriptome data from our MΦ spectrum model, we generated a co-regulation network of all TRs. Next, we overlaid epigenomic information and transcriptional changes of major TRs over time onto the TR network. We observed that input signals like IFNγ or TNFα induce a specific network of TRs that are transcriptionally regulated themselves, the combination of regulated TRs changes over time with a boost of transcriptional regulation of dozens of TRs 4 to 12 hrs post input signal exposure, almost all TRs within the network show active promoters, even if the TR itself is not expressed, and similar results are obtained for enhancers with open or at least intermediated states. These findings strongly suggest that in MΦ, the TR-defined cellular ‘switch panel’ is always accessible thereby allowing MΦ to quickly respond to the diverse input signal repertoire from the environment. Epigenetic analysis of promoter and enhancer sites in primary human macrophage subtypes and correlation to RNA-seq expression data
Project description:Open chromatin provides access to a wide spectrum of DNA binding proteins for DNA metabolism processes such as transcription, repair, recombination, and replication. In this regard, open chromatin profiling has been widely used to identify the location of regulatory regions, including promoters, enhancers, insulators, silencers, replication origins, and recombination hotspots. For a quantitative getic analysis of chromatin regulation, we generated open chromatin maps of 100 yeast samples including the parental strains (BY and RM, and two replicates for each) and their descendants by using the FAIRE-seq technique Open chromatin in two parental strains and 94 segregants of their crossing
Project description:We report the dual role of FoxA1 in androgen receptor recruitment to the chromatin of androgen responsive prostate cancer cell line LNCaP-1F5 using ChIP-sequencing. Depletion of FoxA1 reprograms both androgen and glucocorticoid receptor recruitment and subsequent gene expression. The ChIP-seq has been performed using AR, FoxA1, GR, H3K4me2 antibodies. We have also mapped the DNaseI-hypersensitive sites (DHS) using deep sequencing. Examination of AR, FoxA1, GR, H3K4me2 binding sites and DHS sites in parental and FoxA1 depleted LNCaP-1F5 cells.
Project description:Prdm16 is a transcription factor that drives a complete program of brown adipocyte differentiation, but the mechanism by which Prdm16 activates gene transcription remains unknown. Utilizing ChIP-seq teqhnique, we found that Prdm16 binds to chromatin at/near many brown fat-selective genes in BAT. Interestingly, Prdm16-deficiency dramatically reduced the binding of Med1 to Prdm16-target sites. Indeed, Prdm16 binds and recruits Med1 to BAT-enriched genes and the loss of Prdm16 caused a fundamental change in chromatin architecture at key BAT-selective genes and also reduced transcirptional activity. Moreover, Prdm16, through its interaction with Med1, defines and regulates the activity of super-enhancers that drive the expression of cell identity genes. Together, these data demonstrate that Prdm16 drives gene transcription by recruiting Med1 to control chromatin architecture and super-enhancers. Brown adipose tissues were collected from Prdm16 knockout and wiletype 9-month-old mice and ChIP-seq was performed for Prdm16, PolII, Med1, and H3K27ac.
Project description:Glucocorticoids (GCs) are key mediators of stress response and are widely used as pharmacological agents to treat immune diseases, such as asthma and inflammatory bowel disease, and certain types of cancer. GCs act mainly by activating the GC receptor (GR), which interacts with other transcription factors to regulate gene expression. Here, we combined different functional genomics approaches to gain molecular insights into the mechanisms of action of GC. By profiling the transcriptional response to GC over time in 4 Yoruba (YRI) and 4 Tuscans (TSI) lymphoblastoid cell lines (LCLs), we suggest that the transcriptional response to GC is variable not only in time, but also in direction (positive or negative) depending on the presence of specific interacting TFs. Accordingly, when we performed ChIP-seq for GR and NF-kB in two YRI LCLs treated with GC or with vehicle control, we observed that features of GR binding sites differ for up- and down-regulated genes. Finally, we show that eQTLs that affect expression patterns only in the presence of GC are 1.9-fold more likely to occur in GR binding sites, compared to eQTLs that affect expression only in its absence. Our results indicate that genetic variation at GR and interacting transcription factors binding sites influences variability in gene expression, and attest to the power of combining different functional genomic approaches. GR and NFkB ChIP-seq in lymphoblastoid cell lines treated with either dexamethasone or EtOH (vehicle for dexamethasone) for 1 hour.