Literature DB >> 31828312

Differences in the intrinsic spatial dynamics of the chromatin contribute to cell differentiation.

She Zhang1, Fangyuan Chen1,2, Ivet Bahar1.   

Abstract

Advances in chromosome conformation capture techniques as well as computational characterization of genomic loci structural dynamics open new opportunities for exploring the mechanistic aspects of genome-scale differences across different cell types. We examined here the dynamic basis of variabilities between different cell types by investigating their chromatin mobility profiles inferred from Hi-C data using an elastic network model representation of the chromatin. Our comparative analysis of sixteen cell lines reveals close similarities between chromosomal dynamics across different cell lines on a global scale, but notable cell-specific variations emerge in the detailed spatial mobilities of genomic loci. Closer examination reveals that the differences in spatial dynamics mainly originate from the difference in the frequencies of their intrinsically accessible modes of motion. Thus, even though the chromosomes of different types of cells have access to similar modes of collective movements, not all modes are deployed by all cells, such that the effective mobilities and cross-correlations of genomic loci are cell-type-specific. Comparison with RNA-seq expression data reveals a strong overlap between highly expressed genes and those distinguished by high mobilities in the present study, in support of the role of the intrinsic spatial dynamics of chromatin as a determinant of cell differentiation.
© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 31828312      PMCID: PMC7026660          DOI: 10.1093/nar/gkz1102

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  40 in total

1.  Block Covariance Overlap Method and Convergence in Molecular Dynamics Simulation.

Authors:  Tod D Romo; Alan Grossfield
Journal:  J Chem Theory Comput       Date:  2011-07-01       Impact factor: 6.006

Review 2.  Chromatin accessibility and the regulatory epigenome.

Authors:  Sandy L Klemm; Zohar Shipony; William J Greenleaf
Journal:  Nat Rev Genet       Date:  2019-04       Impact factor: 53.242

3.  Spectral identification of topological domains.

Authors:  Jie Chen; Alfred O Hero; Indika Rajapakse
Journal:  Bioinformatics       Date:  2016-05-05       Impact factor: 6.937

Review 4.  The mammalian epigenome.

Authors:  Bradley E Bernstein; Alexander Meissner; Eric S Lander
Journal:  Cell       Date:  2007-02-23       Impact factor: 41.582

5.  Juicebox Provides a Visualization System for Hi-C Contact Maps with Unlimited Zoom.

Authors:  Neva C Durand; James T Robinson; Muhammad S Shamim; Ido Machol; Jill P Mesirov; Eric S Lander; Erez Lieberman Aiden
Journal:  Cell Syst       Date:  2016-07       Impact factor: 10.304

6.  Comprehensive mapping of long-range interactions reveals folding principles of the human genome.

Authors:  Erez Lieberman-Aiden; Nynke L van Berkum; Louise Williams; Maxim Imakaev; Tobias Ragoczy; Agnes Telling; Ido Amit; Bryan R Lajoie; Peter J Sabo; Michael O Dorschner; Richard Sandstrom; Bradley Bernstein; M A Bender; Mark Groudine; Andreas Gnirke; John Stamatoyannopoulos; Leonid A Mirny; Eric S Lander; Job Dekker
Journal:  Science       Date:  2009-10-09       Impact factor: 47.728

7.  Detecting hierarchical genome folding with network modularity.

Authors:  Heidi K Norton; Daniel J Emerson; Harvey Huang; Jesi Kim; Katelyn R Titus; Shi Gu; Danielle S Bassett; Jennifer E Phillips-Cremins
Journal:  Nat Methods       Date:  2018-01-15       Impact factor: 28.547

8.  Exploring chromatin hierarchical organization via Markov State Modelling.

Authors:  Zhen Wah Tan; Enrico Guarnera; Igor N Berezovsky
Journal:  PLoS Comput Biol       Date:  2018-12-31       Impact factor: 4.475

9.  ProDy: protein dynamics inferred from theory and experiments.

Authors:  Ahmet Bakan; Lidio M Meireles; Ivet Bahar
Journal:  Bioinformatics       Date:  2011-04-05       Impact factor: 6.937

10.  Shared Signature Dynamics Tempered by Local Fluctuations Enables Fold Adaptability and Specificity.

Authors:  She Zhang; Hongchun Li; James M Krieger; Ivet Bahar
Journal:  Mol Biol Evol       Date:  2019-09-01       Impact factor: 16.240

View more
  5 in total

1.  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

2.  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

3.  State-dependent sequential allostery exhibited by chaperonin TRiC/CCT revealed by network analysis of Cryo-EM maps.

Authors:  Yan Zhang; James Krieger; Karolina Mikulska-Ruminska; Burak Kaynak; Carlos Oscar S Sorzano; José-María Carazo; Jianhua Xing; Ivet Bahar
Journal:  Prog Biophys Mol Biol       Date:  2020-08-28       Impact factor: 3.667

4.  Broadening our understanding of genetic risk for scleroderma/systemic sclerosis by querying the chromatin architecture surrounding the risk haplotypes.

Authors:  Kerry E Poppenberg; Vincent M Tutino; Evan Tarbell; James N Jarvis
Journal:  BMC Med Genomics       Date:  2021-04-24       Impact factor: 3.063

5.  Three-dimensional genome structure shapes the recombination landscape of chromatin features during female germline stem cell development.

Authors:  Geng G Tian; Changliang Hou; Jing Li; Ji Wu
Journal:  Clin Transl Med       Date:  2022-06
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.