Literature DB >> 33452566

A deformation energy model reveals sequence-dependent property of nucleosome positioning.

Guoqing Liu1,2, Hongyu Zhao3,4, Hu Meng3,4, Yongqiang Xing3,4, Lu Cai3,4.   

Abstract

We present a deformation energy model for predicting nucleosome positioning, in which a position-dependent structural parameter set derived from crystal structures of nucleosomes was used to calculate the DNA deformation energy. The model is successful in predicting nucleosome occupancy genome-wide in budding yeast, nucleosome free energy, and rotational positioning of nucleosomes. Our model also indicates that the genomic regions underlying the MNase-sensitive nucleosomes in budding yeast have high deformation energy and, consequently, low nucleosome-forming ability, while the MNase-sensitive non-histone particles are characterized by much lower DNA deformation energy and high nucleosome preference. In addition, we also revealed that remodelers, SNF2 and RSC8, are likely to act in chromatin remodeling by binding to broad nucleosome-depleted regions that are intrinsically favorable for nucleosome positioning. Our data support the important role of position-dependent physical properties of DNA in nucleosome positioning.

Entities:  

Keywords:  Chromatin remodeler; Deformation energy; Nucleosome free energy; Nucleosome occupancy; Rotational positioning

Year:  2021        PMID: 33452566      PMCID: PMC7889546          DOI: 10.1007/s00412-020-00750-9

Source DB:  PubMed          Journal:  Chromosoma        ISSN: 0009-5915            Impact factor:   4.316


  56 in total

1.  Prediction of nucleosome occupancy in Saccharomyces cerevisiae using position-correlation scoring function.

Authors:  Yongqiang Xing; Xiujuan Zhao; Lu Cai
Journal:  Genomics       Date:  2011-08-02       Impact factor: 5.736

2.  DNA physical properties outperform sequence compositional information in classifying nucleosome-enriched and -depleted regions.

Authors:  Guoqing Liu; Guo-Jun Liu; Jiu-Xin Tan; Hao Lin
Journal:  Genomics       Date:  2018-07-26       Impact factor: 5.736

3.  iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition.

Authors:  Shou-Hui Guo; En-Ze Deng; Li-Qin Xu; Hui Ding; Hao Lin; Wei Chen; Kuo-Chen Chou
Journal:  Bioinformatics       Date:  2014-02-06       Impact factor: 6.937

4.  Artificial nucleosome positioning sequences.

Authors:  T E Shrader; D M Crothers
Journal:  Proc Natl Acad Sci U S A       Date:  1989-10       Impact factor: 11.205

5.  Opposing chromatin remodelers control transcription initiation frequency and start site selection.

Authors:  Slawomir Kubik; Maria Jessica Bruzzone; Drice Challal; René Dreos; Stefano Mattarocci; Philipp Bucher; Domenico Libri; David Shore
Journal:  Nat Struct Mol Biol       Date:  2019-08-05       Impact factor: 15.369

Review 6.  Determinants of nucleosome positioning.

Authors:  Kevin Struhl; Eran Segal
Journal:  Nat Struct Mol Biol       Date:  2013-03       Impact factor: 15.369

7.  Physical properties of naked DNA influence nucleosome positioning and correlate with transcription start and termination sites in yeast.

Authors:  Ozgen Deniz; Oscar Flores; Federica Battistini; Alberto Pérez; Montserrat Soler-López; Modesto Orozco
Journal:  BMC Genomics       Date:  2011-10-07       Impact factor: 3.969

8.  ISWI and CHD chromatin remodelers bind promoters but act in gene bodies.

Authors:  Gabriel E Zentner; Toshio Tsukiyama; Steven Henikoff
Journal:  PLoS Genet       Date:  2013-02-28       Impact factor: 5.917

Review 9.  Chromatin as dynamic 10-nm fibers.

Authors:  Kazuhiro Maeshima; Ryosuke Imai; Sachiko Tamura; Tadasu Nozaki
Journal:  Chromosoma       Date:  2014-04-16       Impact factor: 4.316

10.  Prediction of nucleosome rotational positioning in yeast and human genomes based on sequence-dependent DNA anisotropy.

Authors:  Feng Cui; Linlin Chen; Peter R LoVerso; Victor B Zhurkin
Journal:  BMC Bioinformatics       Date:  2014-09-22       Impact factor: 3.169

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  1 in total

1.  Epigenetic Marks and Variation of Sequence-Based Information Along Genomic Regions Are Predictive of Recombination Hot/Cold Spots in Saccharomyces cerevisiae.

Authors:  Guoqing Liu; Shuangjian Song; Qiguo Zhang; Biyu Dong; Yu Sun; Guojun Liu; Xiujuan Zhao
Journal:  Front Genet       Date:  2021-06-29       Impact factor: 4.599

  1 in total

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