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

The one-dimensional information of genomic DNA is hierarchically packed inside the eukaryotic cell nucleus and organized in a three-dimensional (3D) space. Genome-wide chromosome conformation capture (Hi-C) methods have uncovered the 3D genome organization and revealed multiscale chromatin domains o...

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Autores principales: Shinkai, Soya, Sugawara, Takeshi, Miura, Hisashi, Hiratani, Ichiro, Onami, Shuichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Biophysical Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203008/
https://www.ncbi.nlm.nih.gov/pubmed/32191860
http://dx.doi.org/10.1016/j.bpj.2020.02.020
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author Shinkai, Soya
Sugawara, Takeshi
Miura, Hisashi
Hiratani, Ichiro
Onami, Shuichi
author_facet Shinkai, Soya
Sugawara, Takeshi
Miura, Hisashi
Hiratani, Ichiro
Onami, Shuichi
author_sort Shinkai, Soya
collection PubMed
description The one-dimensional information of genomic DNA is hierarchically packed inside the eukaryotic cell nucleus and organized in a three-dimensional (3D) space. Genome-wide chromosome conformation capture (Hi-C) methods have uncovered the 3D genome organization and revealed multiscale chromatin domains of compartments and topologically associating domains (TADs). Moreover, single-nucleosome live-cell imaging experiments have revealed the dynamic organization of chromatin domains caused by stochastic thermal fluctuations. However, the mechanism underlying the dynamic regulation of such hierarchical and structural chromatin units within the microscale thermal medium remains unclear. Microrheology is a way to measure dynamic viscoelastic properties coupling between thermal microenvironment and mechanical response. Here, we propose a new, to our knowledge, microrheology for Hi-C data to analyze the dynamic compliance property as a measure of rigidness and flexibility of genomic regions along with the time evolution. Our method allows the conversion of an Hi-C matrix into the spectrum of the dynamic rheological property along the genomic coordinate of a single chromosome. To demonstrate the power of the technique, we analyzed Hi-C data during the neural differentiation of mouse embryonic stem cells. We found that TAD boundaries behave as more rigid nodes than the intra-TAD regions. The spectrum clearly shows the dynamic viscoelasticity of chromatin domain formation at different timescales. Furthermore, we characterized the appearance of synchronous and liquid-like intercompartment interactions in differentiated cells. Together, our microrheology data derived from Hi-C data provide physical insights into the dynamics of the 3D genome organization.
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spelling pubmed-72030082020-10-10 Microrheology for Hi-C Data Reveals the Spectrum of the Dynamic 3D Genome Organization Shinkai, Soya Sugawara, Takeshi Miura, Hisashi Hiratani, Ichiro Onami, Shuichi Biophys J Articles The one-dimensional information of genomic DNA is hierarchically packed inside the eukaryotic cell nucleus and organized in a three-dimensional (3D) space. Genome-wide chromosome conformation capture (Hi-C) methods have uncovered the 3D genome organization and revealed multiscale chromatin domains of compartments and topologically associating domains (TADs). Moreover, single-nucleosome live-cell imaging experiments have revealed the dynamic organization of chromatin domains caused by stochastic thermal fluctuations. However, the mechanism underlying the dynamic regulation of such hierarchical and structural chromatin units within the microscale thermal medium remains unclear. Microrheology is a way to measure dynamic viscoelastic properties coupling between thermal microenvironment and mechanical response. Here, we propose a new, to our knowledge, microrheology for Hi-C data to analyze the dynamic compliance property as a measure of rigidness and flexibility of genomic regions along with the time evolution. Our method allows the conversion of an Hi-C matrix into the spectrum of the dynamic rheological property along the genomic coordinate of a single chromosome. To demonstrate the power of the technique, we analyzed Hi-C data during the neural differentiation of mouse embryonic stem cells. We found that TAD boundaries behave as more rigid nodes than the intra-TAD regions. The spectrum clearly shows the dynamic viscoelasticity of chromatin domain formation at different timescales. Furthermore, we characterized the appearance of synchronous and liquid-like intercompartment interactions in differentiated cells. Together, our microrheology data derived from Hi-C data provide physical insights into the dynamics of the 3D genome organization. The Biophysical Society 2020-05-05 2020-03-03 /pmc/articles/PMC7203008/ /pubmed/32191860 http://dx.doi.org/10.1016/j.bpj.2020.02.020 Text en © 2020 Biophysical Society. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Shinkai, Soya
Sugawara, Takeshi
Miura, Hisashi
Hiratani, Ichiro
Onami, Shuichi
Microrheology for Hi-C Data Reveals the Spectrum of the Dynamic 3D Genome Organization
title Microrheology for Hi-C Data Reveals the Spectrum of the Dynamic 3D Genome Organization
title_full Microrheology for Hi-C Data Reveals the Spectrum of the Dynamic 3D Genome Organization
title_fullStr Microrheology for Hi-C Data Reveals the Spectrum of the Dynamic 3D Genome Organization
title_full_unstemmed Microrheology for Hi-C Data Reveals the Spectrum of the Dynamic 3D Genome Organization
title_short Microrheology for Hi-C Data Reveals the Spectrum of the Dynamic 3D Genome Organization
title_sort microrheology for hi-c data reveals the spectrum of the dynamic 3d genome organization
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203008/
https://www.ncbi.nlm.nih.gov/pubmed/32191860
http://dx.doi.org/10.1016/j.bpj.2020.02.020
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