Literature DB >> 23247720

Calculation of nucleosomal DNA deformation energy: its implication for nucleosome positioning.

Jian-Ying Wang1, Jingyan Wang, Guoqing Liu.   

Abstract

Nucleosome positioning plays an essential role in various fundamental cellular processes by modulating the accessibility of DNA to binding proteins. Understanding the mechanisms and precise recognition of nucleosome positioning along genomic sequences are substantially important for elucidating regulations of cellular processes such as DNA replication, recombination, and gene transcription. In this report, we present a knowledge-based model for calculation of deformational energy of nucleosomal DNA and apply the model to the prediction of nucleosome positioning along the genome of Saccharomyces cerevisiae accurately. The model successfully predicted genome-wide in vitro nucleosome positions. When combined with quadratic discriminant classifier, the model achieved an accuracy of 92.9 % in discriminating in vitro nucleosome forming sequences from nucleosome inhibiting sequences. Our result supports the debated notion that the nucleosome positioning in the genomic sequences is guided primarily by deformational properties of DNA.

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Year:  2012        PMID: 23247720     DOI: 10.1007/s10577-012-9328-6

Source DB:  PubMed          Journal:  Chromosome Res        ISSN: 0967-3849            Impact factor:   5.239


  43 in total

1.  Chromosomal landscape of nucleosome-dependent gene expression and silencing in yeast.

Authors:  J J Wyrick; F C Holstege; E G Jennings; H C Causton; D Shore; M Grunstein; E S Lander; R A Young
Journal:  Nature       Date:  1999-11-25       Impact factor: 49.962

2.  The prediction of the structural class of protein: application of the measure of diversity.

Authors:  Q Z Li; Z Q Lu
Journal:  J Theor Biol       Date:  2001-12-07       Impact factor: 2.691

3.  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

4.  Genome-scale identification of nucleosome positions in S. cerevisiae.

Authors:  Guo-Cheng Yuan; Yuen-Jong Liu; Michael F Dion; Michael D Slack; Lani F Wu; Steven J Altschuler; Oliver J Rando
Journal:  Science       Date:  2005-06-16       Impact factor: 47.728

5.  Nucleosome switches.

Authors:  David J Schwab; Robijn F Bruinsma; Joseph Rudnick; Jonathan Widom
Journal:  Phys Rev Lett       Date:  2008-06-06       Impact factor: 9.161

6.  Sequence periodicities in chicken nucleosome core DNA.

Authors:  S C Satchwell; H R Drew; A A Travers
Journal:  J Mol Biol       Date:  1986-10-20       Impact factor: 5.469

7.  DNA architecture, deformability, and nucleosome positioning.

Authors:  Fei Xu; Wilma K Olson
Journal:  J Biomol Struct Dyn       Date:  2010-06

8.  A high-resolution atlas of nucleosome occupancy in yeast.

Authors:  William Lee; Desiree Tillo; Nicolas Bray; Randall H Morse; Ronald W Davis; Timothy R Hughes; Corey Nislow
Journal:  Nat Genet       Date:  2007-09-16       Impact factor: 38.330

9.  Nucleosome organization in the Drosophila genome.

Authors:  Travis N Mavrich; Cizhong Jiang; Ilya P Ioshikhes; Xiaoyong Li; Bryan J Venters; Sara J Zanton; Lynn P Tomsho; Ji Qi; Robert L Glaser; Stephan C Schuster; David S Gilmour; Istvan Albert; B Franklin Pugh
Journal:  Nature       Date:  2008-04-13       Impact factor: 49.962

10.  DNA physical properties determine nucleosome occupancy from yeast to fly.

Authors:  Vincent Miele; Cédric Vaillant; Yves d'Aubenton-Carafa; Claude Thermes; Thierry Grange
Journal:  Nucleic Acids Res       Date:  2008-05-17       Impact factor: 16.971

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  4 in total

1.  Nucleosome Organization around Pseudogenes in the Human Genome.

Authors:  Guoqing Liu; Fen Feng; Xiujuan Zhao; Lu Cai
Journal:  Biomed Res Int       Date:  2015-05-04       Impact factor: 3.411

2.  A deformation energy-based model for predicting nucleosome dyads and occupancy.

Authors:  Guoqing Liu; Yongqiang Xing; Hongyu Zhao; Jianying Wang; Yu Shang; Lu Cai
Journal:  Sci Rep       Date:  2016-04-07       Impact factor: 4.379

3.  LeNup: learning nucleosome positioning from DNA sequences with improved convolutional neural networks.

Authors:  Juhua Zhang; Wenbo Peng; Lei Wang
Journal:  Bioinformatics       Date:  2018-05-15       Impact factor: 6.937

4.  The implication of DNA bending energy for nucleosome positioning and sliding.

Authors:  Guoqing Liu; Yongqiang Xing; Hongyu Zhao; Lu Cai; Jianying Wang
Journal:  Sci Rep       Date:  2018-06-11       Impact factor: 4.379

  4 in total

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