Rxivist logo

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

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

Posted 25 Nov 2019
bioRxiv DOI: 10.1101/854190 (published DOI: 10.1186/s13059-019-1904-z)

Chromatin interactions are important for gene regulation and cellular specialization. Emerging evidence suggests many-body spatial interactions can 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, not suitable for direct assessment of many-body interactions. We describe a computational model, CHROMATIX, that reconstructs structural ensembles based on 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.

Download data

  • Downloaded 312 times
  • Download rankings, all-time:
    • Site-wide: 61,149 out of 103,871
    • In bioinformatics: 6,611 out of 9,474
  • Year to date:
    • Site-wide: 63,284 out of 103,871
  • Since beginning of last month:
    • Site-wide: 83,623 out of 103,871

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News