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A genomic code for nucleosome positioning

Author

Listed:
  • Eran Segal

    (Weizmann Institute of Science)

  • Yvonne Fondufe-Mittendorf

    (Molecular Biology and Cell Biology, Northwestern University)

  • Lingyi Chen

    (Molecular Biology and Cell Biology, Northwestern University)

  • AnnChristine Thåström

    (Molecular Biology and Cell Biology, Northwestern University)

  • Yair Field

    (Weizmann Institute of Science)

  • Irene K. Moore

    (Molecular Biology and Cell Biology, Northwestern University)

  • Ji-Ping Z. Wang

    (Northwestern University)

  • Jonathan Widom

    (Molecular Biology and Cell Biology, Northwestern University)

Abstract

Eukaryotic genomes are packaged into nucleosome particles that occlude the DNA from interacting with most DNA binding proteins. Nucleosomes have higher affinity for particular DNA sequences, reflecting the ability of the sequence to bend sharply, as required by the nucleosome structure. However, it is not known whether these sequence preferences have a significant influence on nucleosome position in vivo, and thus regulate the access of other proteins to DNA. Here we isolated nucleosome-bound sequences at high resolution from yeast and used these sequences in a new computational approach to construct and validate experimentally a nucleosome–DNA interaction model, and to predict the genome-wide organization of nucleosomes. Our results demonstrate that genomes encode an intrinsic nucleosome organization and that this intrinsic organization can explain ∼50% of the in vivo nucleosome positions. This nucleosome positioning code may facilitate specific chromosome functions including transcription factor binding, transcription initiation, and even remodelling of the nucleosomes themselves.

Suggested Citation

  • Eran Segal & Yvonne Fondufe-Mittendorf & Lingyi Chen & AnnChristine Thåström & Yair Field & Irene K. Moore & Ji-Ping Z. Wang & Jonathan Widom, 2006. "A genomic code for nucleosome positioning," Nature, Nature, vol. 442(7104), pages 772-778, August.
  • Handle: RePEc:nat:nature:v:442:y:2006:i:7104:d:10.1038_nature04979
    DOI: 10.1038/nature04979
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    Citations

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    Cited by:

    1. Fang Liu & Eivind Tøstesen & Jostein K Sundet & Tor-Kristian Jenssen & Christoph Bock & Geir Ivar Jerstad & William G Thilly & Eivind Hovig, 2007. "The Human Genomic Melting Map," PLOS Computational Biology, Public Library of Science, vol. 3(5), pages 1-13, May.
    2. Wei Chen & Hao Lin & Peng-Mian Feng & Chen Ding & Yong-Chun Zuo & Kuo-Chen Chou, 2012. "iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-9, October.
    3. Ji-Ping Wang & Yvonne Fondufe-Mittendorf & Liqun Xi & Guei-Feng Tsai & Eran Segal & Jonathan Widom, 2008. "Preferentially Quantized Linker DNA Lengths in Saccharomyces cerevisiae," PLOS Computational Biology, Public Library of Science, vol. 4(9), pages 1-10, September.
    4. Xianfu Yi & Yu-Dong Cai & Zhisong He & WeiRen Cui & Xiangyin Kong, 2010. "Prediction of Nucleosome Positioning Based on Transcription Factor Binding Sites," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-7, September.
    5. Behrouz Eslami-Mossallam & Raoul D Schram & Marco Tompitak & John van Noort & Helmut Schiessel, 2016. "Multiplexing Genetic and Nucleosome Positioning Codes: A Computational Approach," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-14, June.
    6. Guo-Cheng Yuan & Jun S Liu, 2008. "Genomic Sequence Is Highly Predictive of Local Nucleosome Depletion," PLOS Computational Biology, Public Library of Science, vol. 4(1), pages 1-11, January.
    7. Monica Naughtin & Zofia Haftek-Terreau & Johan Xavier & Sam Meyer & Maud Silvain & Yan Jaszczyszyn & Nicolas Levy & Vincent Miele & Mohamed Salah Benleulmi & Marc Ruff & Vincent Parissi & Cédric Vaill, 2015. "DNA Physical Properties and Nucleosome Positions Are Major Determinants of HIV-1 Integrase Selectivity," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-28, June.
    8. Zing Tsung-Yeh Tsai & Shin-Han Shiu & Huai-Kuang Tsai, 2015. "Contribution of Sequence Motif, Chromatin State, and DNA Structure Features to Predictive Models of Transcription Factor Binding in Yeast," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-22, August.
    9. Joke J F A van Vugt & Martijn de Jager & Magdalena Murawska & Alexander Brehm & John van Noort & Colin Logie, 2009. "Multiple Aspects of ATP-Dependent Nucleosome Translocation by RSC and Mi-2 Are Directed by the Underlying DNA Sequence," PLOS ONE, Public Library of Science, vol. 4(7), pages 1-14, July.
    10. Leelavati Narlikar & Raluca Gordân & Alexander J Hartemink, 2007. "A Nucleosome-Guided Map of Transcription Factor Binding Sites in Yeast," PLOS Computational Biology, Public Library of Science, vol. 3(11), pages 1-10, November.
    11. Harsh Nagpal & Ahmad Ali-Ahmad & Yasuhiro Hirano & Wei Cai & Mario Halic & Tatsuo Fukagawa & Nikolina Sekulić & Beat Fierz, 2023. "CENP-A and CENP-B collaborate to create an open centromeric chromatin state," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    12. Anthony Mathelier & Wyeth W Wasserman, 2013. "The Next Generation of Transcription Factor Binding Site Prediction," PLOS Computational Biology, Public Library of Science, vol. 9(9), pages 1-18, September.
    13. Segal Mark R, 2008. "Re-Cracking the Nucleosome Positioning Code," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-24, April.
    14. Matti Annala & Kirsti Laurila & Harri Lähdesmäki & Matti Nykter, 2011. "A Linear Model for Transcription Factor Binding Affinity Prediction in Protein Binding Microarrays," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-13, May.
    15. Wolfram Möbius & Ulrich Gerland, 2010. "Quantitative Test of the Barrier Nucleosome Model for Statistical Positioning of Nucleosomes Up- and Downstream of Transcription Start Sites," PLOS Computational Biology, Public Library of Science, vol. 6(8), pages 1-11, August.
    16. Alexander W. Blocker & Edoardo M. Airoldi, 2016. "Template-Based Models for Genome-Wide Analysis of Next-Generation Sequencing Data at Base-Pair Resolution," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 967-987, July.
    17. Kroll, K.M. & Ferrantini, A. & Domany, E., 2010. "Introduction to biology and chromosomal instabilities in cancer," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(20), pages 4374-4388.
    18. Moser Carlee & Gupta Mayetri, 2012. "A Generalized Hidden Markov Model for Determining Sequence-based Predictors of Nucleosome Positioning," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(2), pages 1-23, January.

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