Detecting TAD-like domains from RNA-associated interactions

Author:

Zhang Yu Wei1ORCID,Chen Lingxi1ORCID,Li Shuai Cheng12ORCID

Affiliation:

1. Department of Computer Science , City University of Hong Kong, Hong Kong

2. Department of Biomedical Engineering , City University of Hong Kong, Hong Kong

Abstract

Abstract Topologically associated domains (TADs) are crucial chromatin structural units. Evidence has illustrated that RNA–chromatin and RNA–RNA spatial interactions, so-called RNA-associated interactions (RAIs), may be associated with TAD-like domains (TLDs). To decode hierarchical TLDs from RAIs, we proposed SuperTLD, a domain detection algorithm incorporating imputation. We applied SuperTLD on four RAI data sets and compared TLDs with the TADs identified from the corresponding Hi-C datasets. The TLDs and TADs share a moderate similarity of hierarchies ≥ 0.5312 and the finest structures ≥ 0.8295. Comparison between boundaries and domains further demonstrated the novelty of TLDs. Enrichment analysis of epigenetic characteristics illustrated that the novel TLDs exhibit an enriched CTCF by 0.6245 fold change and H3 histone marks enriched within domains. GO analysis on the TLD novel boundaries exhibited enriched diverse terms, revealing TLDs’ formation mechanism related closely to gene regulation.

Funder

Strategy Research Grant

Publisher

Oxford University Press (OUP)

Subject

Genetics

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