ArticlePLoS computational biology2021
A unified framework for inferring the multi-scale organization of chromatin domains from Hi-C.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 0 citations in OpenAlex.
- The hierarchical folding dynamics of topologically associating domains during early embryo development.BMC biology · 2025Article
- ENT3C: an entropy-based similarity measure for Hi-C and micro-C derived contact matrices.NAR genomics and bioinformatics · 2024Article
- A comprehensive benchmarking with interpretation and operational guidance for the hierarchy of topologically associating domains.Nature communications · 2024Article
- Article
- The shape of chromatin: insights from computational recognition of geometric patterns in Hi-C data.Briefings in bioinformatics · 2023Review
- Mapping the semi-nested community structure of 3D chromosome contact networks.PLoS computational biology · 2023Article
- Nuclear Actin Dynamics in Gene Expression, DNA Repair, and Cancer.Results and problems in cell differentiation · 2022Article
- Extracting multi-way chromatin contacts from Hi-C data.PLoS computational biology · 2021Article
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
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Abstract
Chromosomes are giant chain molecules organized into an ensemble of three-dimensional structures characterized with its genomic state and the corresponding biological functions. Despite the strong cell-to-cell heterogeneity, the cell-type specific pattern demonstrated in high-throughput chromosome conformation capture (Hi-C) data hints at a valuable link between structure and function, which makes inference of chromatin domains (CDs) from the pattern of Hi-C a central problem in genome research. Here we present a unified method for analyzing Hi-C data to determine spatial organization of CDs over multiple genomic scales. By applying statistical physics-based clustering analysis to a polymer physics model of the chromosome, our method identifies the CDs that best represent the global pattern of correlation manifested in Hi-C. The multi-scale intra-chromosomal structures compared across different cell types uncover the principles underlying the multi-scale organization of chromatin chain: (i) Sub-TADs, TADs, and meta-TADs constitute a robust hierarchical structure. (ii) The assemblies of compartments and TAD-based domains are governed by different organizational principles. (iii) Sub-TADs are the common building blocks of chromosome architecture. Our physically principled interpretation and analysis of Hi-C not only offer an accurate and quantitative view of multi-scale chromatin organization but also help decipher its connections with genome function.
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