Back to Search Start Over

CHROMATIX: computing the functional landscape of many-body chromatin interactions in transcriptionally active loci from deconvolved single cells

Authors :
Jie Liang
Alan Perez-Rathke
Zhifeng Shao
Qiu Sun
Valentina Boeva
Boshen Wang
Source :
Genome Biology, 21, Genome Biology, Vol 21, Iss 1, Pp 1-17 (2020), Genome Biology
Publication Year :
2020
Publisher :
ETH Zurich, 2020.

Abstract

Chromatin interactions are important for gene regulation and cellular specialization. Emerging evidence suggests many-body spatial interactions play important roles in condensing super-enhancer regions into a cohesive transcriptional apparatus. Chromosome conformation studies using Hi-C are limited to pairwise, population-averaged interactions; therefore unsuitable for direct assessment of many-body interactions. We describe a computational model, CHROMATIX, which reconstructs ensembles of single-cell chromatin structures by deconvolving Hi-C data and identifies significant many-body interactions. For a diverse set of highly active transcriptional loci with at least 2 super-enhancers, we detail the many-body functional landscape and show DNase accessibility, POLR2A binding, and decreased H3K27me3 are predictive of interaction-enriched regions.<br />Genome Biology, 21<br />ISSN:1474-760X

Details

Language :
English
ISSN :
1474760X
Database :
OpenAIRE
Journal :
Genome Biology, 21, Genome Biology, Vol 21, Iss 1, Pp 1-17 (2020), Genome Biology
Accession number :
edsair.doi.dedup.....b9ae1c31ced05a5a1939ef2e4ee43f0a
Full Text :
https://doi.org/10.3929/ethz-b-000395836