GSE32213 | Datasets2Tools

Integration of Hi-C and ChIP-seq data reveals distinct types of chromatin hubs

Transcriptomics Dataset

FAIR Metrics

0 evaluations

General Information

Accession	GSE32213
Title	Integration of Hi-C and ChIP-seq data reveals distinct types of chromatin hubs
Description	We have analyzed publicly available K562 Hi-C data, which enables genome-wide unbiased capturing of chromatin interactions, using a Mixture Poisson Regression Model to define a highly specific set of interacting genomic regions. We integrated multiple ENCODE Consortium resources with the Hi-C data, using DNase-seq data and ChIP-seq data for 46 transcription factors and 8 histone modifications. We classified 12 different sets (clusters) of interacting loci that can be distinguished by their chromatin modifications and which can be categorized into three types of chromatin hubs. The different clusters of loci display very different relationships with transcription factor binding sites. As expected, many of the transcription factors show binding patterns specific to clusters composed of interacting loci that encompass promoters or enhancers. However, cluster 6, which is distinguished by marks of open chromatin but not by marks of active enhancers or promoters, was not bound by most transcription factors but was highly enriched for 3 transcription factors (GATA1, GATA2, and c-Jun) and 3 chromatin modifiers (BRG1, INI1, and SIRT6). To validate the identification of the clusters and to dissect the impact of chromatin organization on gene regulation, we performed RNA-seq analyses before and after knockdown of GATA1 or GATA2. We found that knockdown of the GATA factors greatly alters the expression of genes within cluster 6. Our work, in combination with previous studies linking regulation by GATA factors with c-Jun and BRG1, provide genome-wide evidence that Hi-C data identifies sets of biologically relevant interacting loci.
Landing Page	https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE32213
Repository	Gene Expression Omnibus

Tools used to analyze the dataset

Dataset Accession

ARCHS4

Published September 2017

ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...

4645

Clustergrammer

Published October 2017

Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps

4645

Canned Analyses generated with the dataset

FAIR Evaluation

Sorry, you must be signed in to evaluate this object.