Literature DB >> 31337548

Heterogeneous Loop Model to Infer 3D Chromosome Structures from Hi-C.

Lei Liu1, Min Hyeok Kim1, Changbong Hyeon2.   

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.
Copyright © 2019 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31337548      PMCID: PMC6697451          DOI: 10.1016/j.bpj.2019.06.032

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  78 in total

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Authors:  Changbong Hyeon; D Thirumalai
Journal:  J Chem Phys       Date:  2006-03-14       Impact factor: 3.488

6.  The three-dimensional structure of human interphase chromosomes is related to the transcriptome map.

Authors:  Sandra Goetze; Julio Mateos-Langerak; Hinco J Gierman; Wim de Leeuw; Osdilly Giromus; Mireille H G Indemans; Jan Koster; Vladan Ondrej; Rogier Versteeg; Roel van Driel
Journal:  Mol Cell Biol       Date:  2007-04-09       Impact factor: 4.272

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Journal:  Nano Lett       Date:  2006-05       Impact factor: 11.189

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Journal:  Science       Date:  2002-02-15       Impact factor: 47.728

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Authors:  Manfred Bohn; Dieter W Heermann; Roel van Driel
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2007-11-27

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Journal:  Hum Mol Genet       Date:  2001-09-15       Impact factor: 6.150

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  6 in total

1.  Revisiting the organization of Polycomb-repressed domains: 3D chromatin models from Hi-C compared with super-resolution imaging.

Authors:  Lei Liu; Changbong Hyeon
Journal:  Nucleic Acids Res       Date:  2020-11-18       Impact factor: 16.971

2.  Extracting multi-way chromatin contacts from Hi-C data.

Authors:  Lei Liu; Bokai Zhang; Changbong Hyeon
Journal:  PLoS Comput Biol       Date:  2021-12-06       Impact factor: 4.475

3.  Maximum parsimony interpretation of chromatin capture experiments.

Authors:  Dirar Homouz; Andrzej S Kudlicki
Journal:  PLoS One       Date:  2019-11-25       Impact factor: 3.240

4.  A unified framework for inferring the multi-scale organization of chromatin domains from Hi-C.

Authors:  Ji Hyun Bak; Min Hyeok Kim; Lei Liu; Changbong Hyeon
Journal:  PLoS Comput Biol       Date:  2021-03-16       Impact factor: 4.475

5.  Microrheology for Hi-C Data Reveals the Spectrum of the Dynamic 3D Genome Organization.

Authors:  Soya Shinkai; Takeshi Sugawara; Hisashi Miura; Ichiro Hiratani; Shuichi Onami
Journal:  Biophys J       Date:  2020-03-03       Impact factor: 4.033

Review 6.  Toward understanding the dynamic state of 3D genome.

Authors:  Soya Shinkai; Shuichi Onami; Ryuichiro Nakato
Journal:  Comput Struct Biotechnol J       Date:  2020-08-21       Impact factor: 7.271

  6 in total

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