Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ChiCMaxima: a robust and simple pipeline for detection and visualization of chromatin looping in Capture Hi-C (4C validation)

ABSTRACT: Capture Hi-C (CHi-C) is a new technique for assessing genome organization based on chromosome conformation capture coupled to oligonucleotide capture of regions of interest, such as gene promoters. Chromatin loop detection is challenging because existing Hi-C/4C-like tools, which make different assumptions about the technical biases presented, are often unsuitable. We describe a new approach, ChiCMaxima, which uses local maxima combined with limited filtering to detect DNA looping interactions, integrating information from biological replicates. ChiCMaxima shows more stringency and robustness compared to previously developed tools. The tool includes a GUI browser for flexible visualization of CHi-C profiles alongside epigenomic tracks. The results of the analysis on existing mouse ES Capture Hi-C data (ArrayExpress E-MTAB-2414) were validated by two 4C-seq experiments, submitted here.

ORGANISM(S): Mus musculus

PROVIDER: GSE129884 | GEO | 2019/04/17

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Dynamic and stable enhancer-promoter contacts regulate terminal differentiation [UMI-4C]

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.

2017-06-28 | GSE95098 | GEO

Dynamic and stable enhancer-promoter contacts regulate terminal differentiation [ChIP-Seq]

2017-06-28 | GSE84657 | GEO

Dynamic and stable enhancer-promoter contacts regulate terminal differentiation [RNA-Seq]

2017-06-28 | GSE84661 | GEO

Dynamic and stable enhancer-promoter contacts regulate terminal differentiation [HiC_CHiC]

2017-06-28 | GSE84660 | GEO

CHiCAGO: Robust Detection of DNA Looping Interactions in Capture Hi-C data

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.

2016-05-18 | E-GEOD-81503 | biostudies-arrayexpress

Promoter capture GM12878 CD34

2015-03-01 | E-MTAB-2323 | biostudies-arrayexpress

CHiCAGO: Robust Detection of DNA Looping Interactions in Capture Hi-C data

2016-05-18 | GSE81503 | GEO

Promoter capture mESC and fetal liver

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.

2015-02-01 | E-MTAB-2414 | biostudies-arrayexpress

Promoter Capture-HiC in Ring1a KO and Ring1a/b dKO mouse ES cells

2015-08-01 | E-MTAB-3109 | biostudies-arrayexpress

Unbiased Capture Hi-C reveals the potential targets of breast cancer susceptibility loci

Project description:Genome-wide association studies have identified over 70 common variants that are associated with breast cancer risk. Most of these variants map to non-protein-coding regions; several map to gene deserts, regions of several hundred kb lacking protein-coding genes. We hypothesized that gene deserts harbour long-range regulatory elements that can physically interact with target genes to influence their expression. To test this, we developed Capture Hi-C (CHi-C), which by incorporating a sequence capture step into a Hi-C protocol, allows high-resolution analysis of targeted regions of the genome. We used CHi-C to investigate long-range interactions at three breast cancer gene deserts mapping to 2q35, 8q24.21 and 9q31.2. We identified interaction peaks between putative regulatory elements ("bait fragments") within the captured regions and "targets" that included both protein-coding genes and long non-coding (lnc)RNAs, over distances of 6.6 kb to 2.6 Mb. Target protein-coding genes were IGFBP5, KLF4, NSMCE2 and MYC; target lncRNAs included DIRC3, PVT1 and CCDC26. For two gene deserts we were able to define a set of SNPs that were correlated with the published risk variant and that clustered within the bait end of an interaction peak. Preliminary functional analyses implicate one SNP (rs12613955; 2q35) as a potentially functional variant. Capture Hi-C was carried out in BT483, SUM44, and GM06990 cell lines to investigate breast cancer risk loci 2q35, 8q24.21 and 9q31.2.

2014-08-04 | E-GEOD-55634 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data