Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Cdx2 Binding Sites On Cdx2 Expressing ES Cells

ABSTRACT: A) Chromatins were prepared from Cdx2-inducible ES cells cultured for 48 - 60 hours in the Dox+ and Dox- conditions. Chromatin immunoprecipitation (ChIP) was carried out by using anti-FLAG M2 affinity gel. ChIP product was tested by Western blotting using anti-FLAG antibody. Nuclear extract from ES cells cultured for 48 - 60 hours in Dox+ and Dox- condition was used for the Western blot. B) CDX2 ChIP-Seq peaks in the Hoxa7 gene region. UCSC Mouse Mm9 browser view of Hoxa7 gene locus after mapping CDX2 ChIP-Seq tags locations in the wiggle format. CDX2 ChIP-Seq peaks are shown in red color. C) Cdx2 ChIP-Seq result was verified by qPCR. Target genes were indicated in (G). Primers flanking a promoter region of Hbb-b1 and Pou5f1 as well as a gene desert region in chromosome 3 were used as negative controls. Primers flanking of Actb gene promoter were used for normalization. The relative enrichment of CDX2 binding was indicated as fold change. (D) CDX2-binding motifs identified with CisFinder using 200 bp sequences centered at ChIP sites. (F) Potential CDX2-direct target genes based on ChIP-Seq and the alteration of expression by Cdx2-overexpression. (G) Identification of CDX2 target genes by combining information on binding sites with gene expression response to Cdx2 over-expression Chromatin IP against CDX2-Flag fusion protein. MC1 ES cells were genetically modified for ROSA26 locus to have Tet-Off expression cassette for C-terminal FLAG tagged Cdx2. The peaks are obtained from the Eland Multi Alignment file. The number of tags in peaks was compared with the number of tags in the control sample for the same region corrected by the total coverage of tags. See supplemental file of the paper for details.

ORGANISM(S): Mus musculus

SUBMITTER: Minoru Ko

PROVIDER: E-GEOD-14586 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Uncovering early response of gene regulatory networks in ESCs by systematic induction of transcription factors.

Nishiyama Akira A Xin Li L Sharov Alexei A AA Thomas Marshall M Mowrer Gregory G Meyers Emily E Piao Yulan Y Mehta Samir S Yee Sarah S Nakatake Yuhki Y Stagg Carole C Sharova Lioudmila L Correa-Cerro Lina S LS Bassey Uwem U Hoang Hien H Kim Eugene E Tapnio Richard R Qian Yong Y Dudekula Dawood D Zalzman Michal M Li Manxiang M Falco Geppino G Yang Hsih-Te HT Lee Sung-Lim SL Monti Manuela M Stanghellini Ilaria I Islam Md Nurul MN Nagaraja Ramaiah R Goldberg Ilya I Wang Weidong W Longo Dan L DL Schlessinger David D Ko Minoru S H MS

Cell stem cell 20091001 4

To examine transcription factor (TF) network(s), we created mouse ESC lines, in each of which 1 of 50 TFs tagged with a FLAG moiety is inserted into a ubiquitously controllable tetracycline-repressible locus. Of the 50 TFs, Cdx2 provoked the most extensive transcriptome perturbation in ESCs, followed by Esx1, Sox9, Tcf3, Klf4, and Gata3. ChIP-Seq revealed that CDX2 binds to promoters of upregulated target genes. By contrast, genes downregulated by CDX2 did not show CDX2 binding but were enriched ...[more]

PMID: 19796622

Similar Datasets

Project description:Regulatory proteins can bind to different sets of genomic targets in various cell types or conditions. To reliably characterize such condition-specific regulatory binding we introduce MultiGPS, an integrated machine learning approach for the analysis of multiple related ChIP-seq experiments. MultiGPS is based on a generalized Expectation Maximization framework that shares information across multiple experiments for binding event discovery. We demonstrate that our framework enables the simultaneous modeling of sparse condition-specific binding changes, sequence dependence, and replicate-specific noise sources. MultiGPS encourages consistency in reported binding event locations across multiple-condition ChIP-seq datasets and provides accurate estimation of ChIP enrichment levels at each event. MultiGPSM-bM-^@M-^Ys multi-experiment modeling approach thus provides a reliable platform for detecting differential binding enrichment across experimental conditions. We demonstrate the advantages of MultiGPS with an analysis of Cdx2 binding in three distinct developmental contexts. By accurately characterizing condition-specific Cdx2 binding, MultiGPS enables novel insight into the mechanistic basis of Cdx2 site selectivity. Specifically, the condition-specific Cdx2 sites characterized by MultiGPS are highly associated with pre-existing genomic context, suggesting that such sites are pre-determined by cell-specific regulatory architecture. However, MultiGPS-defined condition-independent sites are not predicted by pre-existing regulatory signals, suggesting that Cdx2 can bind to a subset of locations regardless of genomic environment. In this study, we characterize the binding of Cdx2 in embryonic stem cells, endodermal cells, and progenitor motor neurons using V5- or FLAG-tagged doxycycline inducible Cdx2 ESC lines (iCdx2). Endoderm and progenitor motor neurons are generated from the ES cells using directed differentiation approaches. The cells are then exposed to Dox to express the tagged Cdx2 construct. The genome-wide binding of the induced full-length Cdx2 transcription factor is profiled using ChIP-seq with an anti-V5 or anti-FLAG antibody. We also examine the binding behavior of a truncated version of the Cdx2 protein, where a protein interaction domain contained in the first 59 amino acids has been deleted. An appropriate pseudo-IP control experiment for these ChIP-seq experiments has been previously submitted under accession number GSM766062.

Project description:Androgen receptor (AR) orchestrates an intricate transcriptional regulatory network that governs prostate cancer initiation, development and progression. To understand this network in detail, we generated genome-wide maps of AR occupancy by ChIP-seq in LNCaP cells. We found NKX3-1, an androgen-dependent homeobox protein well-characterized for its role in prostate development and differentiation, being recruited to AR binding sites (ARBS) in response to androgen signaling. We identified 6,359 NKX3-1 binding sites, most of which overlapped with AR. In addition to its novel collaborative transcriptional role at well-known prostate cancer model genes, our binding and knockdown studies further suggested that NKX3-1 potentially regulates AR in a feed-forward manner. Integrative analysis of Oncomine molecular concepts showed that these androgen-regulated AR and NKX3-1 associated genes are significantly overexpressed in prostate carcinoma as well as advanced and recurrent prostate tumors. From our transcriptomic profiling and Gene Ontology analysis, we observed that AR and NKX3-1 co-regulate genes involved in "protein trafficking" processes, which are mandatory events in the integration of oncogenic signaling pathways leading to prostate cancer development and progression. Interestingly, we found that AR and NKX3-1 co-regulate several members of the RAB GTPase family of secretory/trafficking proteins via the involvement of FoxA1 in a ternary complex and we believe that these AR/NKX3-1/FoxA1 co-regulated RAB genes could serve as expression signatures in prostate carcinogenesis. More specifically, through functional analyses, we showed that NKX3-1, together with AR and FoxA1, could promote prostate cancer cell survival through activation of RAB3B expression. Collectively, our study has provided important insights into the hierarchical transcriptional regulatory network established between AR and NKX3-1 and sought to elucidate the important genetic-molecular-phenotypic paradigm in androgen-dependent prostate cancer. Genome-wide binding analyses of AR, NKX3-1 and FoxA1 in LNCaP with or without DHT (5alpha-dihydrotestosterone) stimulation using ChIP-Seq.

Project description:Using the estrogen receptor alpha (ERalpha) as a model ligand inducible transcription factor, we sought to explicitly define parameters that determine transcription factor binding site selection on a genomic scale in an inducible system that minimizes confounding chromatin effects by the transcription factor itself. By examining several genetic and epigenetic parameters, we find that an energetically favorable estrogen response element (ERE) motif sequence, evidence of occupancy of a "pioneering" transcription factor FOXA1, the presence of the enhancer mark, H3K4me1, and an open chromatin configuration (FAIRE) at the pre-ligand state provide specificity for ER binding. Genome-wide ChIP-sequencing was done in MCF-7 cancer cell line for the following histone H3 modifications: monomethylation H3K4me1, trimethylation H3K4me3, H3K9me3, H3K27me3, acetylation H3K9ac, H3K14ac. In addition sequencing of RNA Pol II was done at same treatment conditions (E2 and DMSO). In addition, we assessed the chromatin configuration of ERα binding sites by deeply sequencing fragments isolated by Formaldehyde-Assisted Isolation of Regulatory Elements (FAIRE) (Giresi et al, 2007) which enriches for nucleosome free genomic DNA in the aqueous phase of a phenol extraction. The analysis histone modifications in MCF-7 cancer cells was done by ChIP-seq data obtained either with E2 stimulation or without stimulation using vehicle as a control. Using the ERα binding sites defined by ChIP-seq (separate submission), we analyzed the population characteristics of the chromatin configuration of the ERα binding sites. To this end, we performed ChIP-seq analysis for the occupancy configuration of each of the following marks before and after E2 exposure: RNA Pol II, the activation marks H3K4me1, H3K4me3, H3K9ac and H3K14ac, and the repression marks H3K9me3 and H3K27me3. We assessed the chromatin configuration of ERα binding sites by deeply sequencing fragments isolated by Formaldehyde-Assisted Isolation of Regulatory Elements (FAIRE) (Giresi et al, 2007) which enriches for nucleosome free genomic DNA in the aqueous phase of a phenol extraction. The tag count of FAIRE fragments reflects the nucleosome depletion at any given site. RNA Pol II - Cat# ab5408, Abcam; H3K9me3 - Cat# ab8898, Abcam; H3K27me3 - Cat# 07-449, Upstate Biotechnology Inc.; H3K4me1 - Cat# ab8895, Abcam; H3K4me3 - Cat# ab8580, Abcam; H3K9ac - Cat# 07-352, Upstate Biotechnology Inc.; H3K14ac - Cat# 07-353, Upstate Biotechnology Inc.

Project description:We aim to understand the role that Cdx2 plays in specifying the rostro-caudal identity of differentiating motor neurons. We find that expressing Cdx2 in combination with FGF signaling is sufficient to produce motor neurons with a more caudal identity. ChIP-seq analysis of Cdx2 finds that it binds extensively throughout the Hox regions in progenitor motor neurons. Analysis of polycomb-associated chromatin over Hox regions in the subsequently generated motor neurons finds that Cdx2 binding corresponds to chromatin domains encompassing de-repressed caudal Hox genes. These results suggest a direct role for Cdx2 in specifying caudal motor neuron identity. ChIP-seq studies: We characterize the binding of Cdx2 in progenitor motor neurons using a V5 tagged doxycycline inducible Cdx2 ESC line (iCdx2). Progenitor motor neurons were generated after 4 days of in vitro differentiation of mouse embryonic stem cells using retinoic acid (RA) and hedgehog (Hh) signaling exposure at day 2. On day 3, the cells are exposed to Dox with and without accompanying FGF signaling. The genome-wide binding of the induced Cdx2 transcription factor is profiled using ChIP-seq with an anti-V5 antibody. An appropriate whole-cell extract control experiment for these ChIP-seq experiments is also included. We also examine the effect of induced Cdx2 expression on polycomb-associated chromatin structure in the resulting cellular populations by profiling the H3K27me3 chromatin mark using ChIP-seq. H3K27me3 experiments were performed after 5 days of in vitro differentiation using cells exposed to either: 1) RA & Hh to derive progenitor motor neurons, followed by Dox & FGF; 2) Dox & FGF alone; or 3) RA and Hh alone. There are 6 Illumina sequencing datasets included in this submission: two biological replicates of iCdx2 ChIP-seq in the presence of FGF; one sample of iCdx2 ChIP-seq in the absence of FGF; one H3K27me3 ChIP-seq in the presence of RA, Hh, Dox, and FGF; one H3K27me3 ChIP-seq in the presence of Dox and FGF; and one H3K27me3 ChIP-seq in the presence of RA and Hh.

Dataset Information

Cdx2 Binding Sites On Cdx2 Expressing ES Cells

Publications

Uncovering early response of gene regulatory networks in ESCs by systematic induction of transcription factors.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure