Genome Biology (Jan 2020)

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

  • Alan Perez-Rathke,
  • Qiu Sun,
  • Boshen Wang,
  • Valentina Boeva,
  • Zhifeng Shao,
  • Jie Liang

DOI
https://doi.org/10.1186/s13059-019-1904-z
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 17

Abstract

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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.

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