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

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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

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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.

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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.

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