Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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ChIP-seq Accurately Predicts Tissue-Specific Activity of Enhancers

ABSTRACT: Determining the spatial and temporal activity patterns of enhancers remains a challenge in the functional annotation of the human genome. Here, we performed genome-wide mapping of tissue-specific in vivo binding sites for the enhancer-associated protein p300 and assessed in transgenic mice the utility of this information in identifying enhancers and predicting their activity patterns. Chromatin immunoprecipitation followed by massively-parallel sequencing was used to identify p300-enriched sites in mouse embryonic day 11.5 (e11.5) forebrain, midbrain, and limb. In total, 4,686 genomic regions were enriched for p300 in vivo in at least one of these tissues. To determine whether p300-binding accurately identifies enhancers and predicts their activity patterns, we tested 86 of these regions in a transgenic mouse enhancer assay at e11.5. In 88% of the cases, p300-enriched sequences were reproducible enhancers, and in 91% of these cases p300 enrichment correctly predicted the tissues in which in vivo activity was observed. Our results indicate that in vivo mapping of p300 binding to non-coding DNA is a highly effective means for identifying enhancers and their associated spatial activity patterns. Examination of p300 binding in 3 embryonic stage 11.5 mouse tissues

ORGANISM(S): Mus musculus

SUBMITTER: Matthew Blow

PROVIDER: E-GEOD-13845 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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ChIP-seq accurately predicts tissue-specific activity of enhancers.

Visel Axel A Blow Matthew J MJ Li Zirong Z Zhang Tao T Akiyama Jennifer A JA Holt Amy A Plajzer-Frick Ingrid I Shoukry Malak M Wright Crystal C Chen Feng F Afzal Veena V Ren Bing B Rubin Edward M EM Pennacchio Len A LA

Nature 20090201 7231

A major yet unresolved quest in decoding the human genome is the identification of the regulatory sequences that control the spatial and temporal expression of genes. Distant-acting transcriptional enhancers are particularly challenging to uncover because they are scattered among the vast non-coding portion of the genome. Evolutionary sequence constraint can facilitate the discovery of enhancers, but fails to predict when and where they are active in vivo. Here we present the results of chromati ...[more]

PMID: 19212405

Publication: 1/3

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Project description:While the majority of protein-coding genes in the human genome have been identified, the location of the regulatory sequences that control their expression in time and space remains poorly defined. The importance of identifying these elements is underscored by a growing number of studies (such as GWAS) supporting a relationship between variation in non-coding sequences and human disease. M-BM- emonstrated that ChIP-Seq with p300 directly on human or mouse tissues represents a powerful method to identify the location and tissue-specific activity pattern of enhancers in the genome.M-BM- a highly specific chromatin mark for the prediction of in vivo enhancers, it is not without limitations. M-BM- comparison of p300-bound regions with previously generated enhancer sets shows that the majority of enhancers are activated independently of p300. To attempt to identify a larger proportion of enhancers in vivo, we have focused on several additional transcriptional coactivators that are hypothesized to be associated with active tissue-specific enhancers. M-BM- limited availability of ChIP-seq grade antibodies for these coactivators, FLAG-tag knock-in mice were generated and ChIP-seq using a FLAG antibody was performed on various tissues from e11.5 mouse embryos. Indeed, as these mouse lines have become available we have validated their valuable role as marks for transcriptional enhancers in vivo.M-BM- studies are expected to further expand the catalogue of in vivo functional enhancers, which will aid in the decoding of the regulatory genome and provide new insights into the role of gene regulation in human biology and disease. In addition to FLAG data, this accession includes histone acetylation / methylation ChIP-seq data from e11.5 mouse embryonic tissues. Histone ChIP-seq data was used in combination with FLAG data for various computational analyses. Examination of FLAG-labeled transcriptional coactivator binding in mouse embryonic stage 11.5 and embryonic stem cells

Dataset Information

ChIP-seq Accurately Predicts Tissue-Specific Activity of Enhancers

Publications

ChIP-seq accurately predicts tissue-specific activity of enhancers.

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