Dataset Information

Capture Hi-C identifies the chromatin interactome of colorectal cancer risk loci

ABSTRACT: Multiple regulatory elements distant to their targets on the linear genome can influence the expression of a single gene through chromatin looping. Chromosome conformation capture implemented in Hi-C allows for genome-wide agnostic characterization of chromatin contacts. However, detection of functional enhancer-promoter interactions is precluded by its effective resolution that is determined by both restriction fragmentation and sensitivity of the experiment. Here we have developed a capture Hi-C (cHi-C) approach to allow an agnostic characterisation of these physical interactions on a genome-wide scale. Single nucleotide polymorphisms associated with complex diseases often reside within regulatory elements and exert effects through long-range regulation of gene expression. Applying this cHi-C approach to 14 colorectal cancer risk loci has allowed us to identify key long-range chromatin interactions in cis and trans involving these loci.

PROVIDER: EGAS00001001085 | EGA |

REPOSITORIES: EGA

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Capture Hi-C identifies the chromatin interactome of colorectal cancer risk loci.

Jäger Roland R Migliorini Gabriele G Henrion Marc M Kandaswamy Radhika R Speedy Helen E HE Heindl Andreas A Whiffin Nicola N Carnicer Maria J MJ Broome Laura L Dryden Nicola N Nagano Takashi T Schoenfelder Stefan S Enge Martin M Yuan Yinyin Y Taipale Jussi J Fraser Peter P Fletcher Olivia O Houlston Richard S RS

Nature communications 20150219

Multiple regulatory elements distant from their targets on the linear genome can influence the expression of a single gene through chromatin looping. Chromosome conformation capture implemented in Hi-C allows for genome-wide agnostic characterization of chromatin contacts. However, detection of functional enhancer-promoter interactions is precluded by its effective resolution that is determined by both restriction fragmentation and sensitivity of the experiment. Here we develop a capture Hi-C (c ...[more]

PMID: 25695508

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Project description:Serum-to-2i interconversion of mouse Embryonic Stem Cells (mESCs) is a valuable in vitro model for early embryonic development. To assess whether 3D chromatin organization changes during this transition, we established Capture Hi-C with target-sequence enrichment of DNase I hypersensitive sites. We detected extremely long-range intra- and inter-chromosomal interactions between a small subset of H3K27me3 marked bivalent promoters involving the Hox clusters in serum grown cells. Notably, these promoter-mediated interactions are not present in 2i ground-state pluripotent mESCs but appear upon further development into primed-like serum mESCs. Reverting serum mESCs to ground-state 2i mESCs removes these promoter-promoter interactions in a spatiotemporal manner. H3K27me3, which is largely absent at bivalent promoters in ground-state 2i mESCs, is necessary but not sufficient to establish these interactions, as confirmed by Capture Hi-C on Eed-/- serum mESCs. Our results implicate H3K27me3 and PRC2 as critical players in chromatin alteration during priming of ESCs for differentiation. To study dynamics in chromatin architecture and to characterize long-range interaction, we performed Hi-C using DpnII as the restriction enzyme, potentially reaching a genome-wide coverage at a less than 1Kb resolution. We subsequently performed enrichment of interaction by a target capture similar to the exome sequencing approach. We enriched for DNaseI hyper-sensitive sites (DHSâs) in chromatin from mESCs. Probes were designed against the union of all DHSâs of Serum and 2i mESCs. Capture Hi-C reveals Extremely Long-Range Interactions (ELRI) in Serum but not in 2i ESCs. We observed H3K27me3 as a prominent characteristic, but not exclusive feature of ELRI loci in Serum mESCs. To further elucidate the involvement of constituents of PRC1 and PRC2 in ELRI, we performed ChIP-seq experiment on Suz12 and Ring1B during serum-to-2i transition. In addition, RNA-seq was performed to compare the expression levels of genes.

Dataset Information

Capture Hi-C identifies the chromatin interactome of colorectal cancer risk loci

Publications

Capture Hi-C identifies the chromatin interactome of colorectal cancer risk loci.

Similar Datasets

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