ArticleBiophysical journal2019
Heterogeneous Loop Model to Infer 3D Chromosome Structures from Hi-C.
Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 32 citations in OpenAlex.
- Integrative Modeling of 3D Genome Organization by Bayesian Molecular Dynamics Simulations with Hi-C Metainference.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Advancements and future directions in single-cell Hi-C based 3D chromatin modeling.Computational and structural biotechnology journal · 2024Review
- Hi-C-guided many-polymer model to decipher 3D genome organization.Biophysical journal · 2024Article
- Review
- Dissecting the cosegregation probability from genome architecture mapping.Biophysical journal · 2022Article
- Extracting multi-way chromatin contacts from Hi-C data.PLoS computational biology · 2021Article
- A unified framework for inferring the multi-scale organization of chromatin domains from Hi-C.PLoS computational biology · 2021Article
- Revisiting the organization of Polycomb-repressed domains: 3D chromatin models from Hi-C compared with super-resolution imaging.Nucleic acids research · 2020Article
- Microrheology for Hi-C Data Reveals the Spectrum of the Dynamic 3D Genome Organization.Biophysical journal · 2020Article
- Toward understanding the dynamic state of 3D genome.Computational and structural biotechnology journal · 2020Review
- Article
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Authors and funding
3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Adapting a well-established formalism in polymer physics, we develop a minimalist approach to infer three-dimensional folding of chromatin from Hi-C data. The three-dimensional chromosome structures generated from our heterogeneous loop model (HLM) are used to visualize chromosome organizations that can substantiate the measurements from fluorescence in situ hybridization, chromatin interaction analysis by paired-end tag sequencing, and RNA-seq signals. We demonstrate the utility of the HLM with several case studies. Specifically, the HLM-generated chromosome structures, which reproduce the spatial distribution of topologically associated domains from fluorescence in situ hybridization measurement, show the phase segregation between two types of topologically associated domains explicitly. We discuss the origin of cell-type-dependent gene-expression level by modeling the chromatin globules of α-globin and SOX2 gene loci for two different cell lines. We also use the HLM to discuss how the chromatin folding and gene-expression level of Pax6 loci, associated with mouse neural development, are modulated by interactions with two enhancers. Finally, HLM-generated structures of chromosome 19 of mouse embryonic stem cells, based on single-cell Hi-C data collected over each cell-cycle phase, visualize changes in chromosome conformation along the cell-cycle. Given a contact frequency map between chromatic loci supplied from Hi-C, HLM is a computationally efficient and versatile modeling tool to generate chromosome structures that can complement interpreting other experimental data.
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