Promoter capture GM12878 CD34
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Borbala Mifsud
PROVIDER: E-MTAB-2323 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Genome organization influences transcriptional regulation by facilitating interactions between gene promoters and distal regulatory elements. To analyse distal promoter contacts mediated by the PRC1 complex we used Capture Hi-C (CHi-C) to enrich for promoter-interactions in a HiC library in Ring1a KO and Ring1a/b dKO mouse ES cells.
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Project description:Genome organization influences transcriptional regulation by facilitating interactions between gene promoters and distal regulatory elements. To analyse distal promoter contacts we used Capture Hi-C (CHi-C) to enrich for promoter-interactions in HiC libraries from mouse ESC and E14.5 fetal liver. Please note additional files included. These files were created using the following protocol: Significantly interacting regions were called using the GOTHiC BioConductor package (http://www.bioconductor.org/packages/devel/bioc/html/GOTHiC.html) as described in (Mifsud et al.).<br>Update on December 2015: the original additional file E-MTAB-2414.additional.1.zip contained an earlier iteration of processed data and not the one that was used for the published paper. The file now contains the correct list of interactions.
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Project description:Capture Hi-C (CHi-C) is a state-of-the art method for profiling chromosomal interactions involving targeted regions of interest (such as gene promoters) globally and at high resolution. Signal detection in CHi-C data involves a number of statistical challenges that are not observed when using other Hi-C-like techniques. We present a background model, and algorithms for normalisation and multiple testing that are specifically adapted to CHi-C experiments, in which many spatially dispersed regions are captured, such as in Promoter CHi-C. We implement these procedures in CHiCAGO (http://regulatorygenomicsgroup.org/chicago), an open-source package for robust interaction detection in CHi-C. We validate CHiCAGO by showing that promoter-interacting regions detected with this method are enriched for regulatory features and disease-associated SNPs. Three human CHi-C biological replicates were generated (comprising 1, 2and 3 technical replicates). Two mouse CHi-C biological replicates were generated (both comprising three technical replicates) and a mouse Hi-C dataset. The publicly available HiCUP pipeline (doi: 10.12688/f1000research.7334.1) was used to process the raw sequencing reads. This pipeline was used to map the read pairs against the mouse (mm9) and human (hg19) genomes, to filter experimental artefacts (such as circularized reads and re-ligations), and to remove duplicate reads. For the CHi-C data, the resulting BAM files were processed into CHiCAGO input files, retaining only those read pairs that mapped, at least on one end, to a captured bait. CHiCAGO then identified Hi-C restriction fragments interacting, with statistical significant, to captured baits.
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Project description:Genome-wide chromosome conformation capture (Hi-C) and promoter-capture Hi-C (CHi-C) were performed during epidermal differentiation. These data indicate that dynamic and constitutive enhancer-promoter contacts combine to control gene induction during differentiation and that chromosome conformation enables discovery of new TFs with distinct roles in this process.
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