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Prediction of nucleosome rotational positioning in yeast and human genomes based on sequence-dependent DNA anisotropy
BACKGROUND: An organism’s DNA sequence is one of the key factors guiding the positioning of nucleosomes within a cell’s nucleus. Sequence-dependent bending anisotropy dictates how DNA is wrapped around a histone octamer. One of the best established sequence patterns consistent with this anisotropy i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4261538/ https://www.ncbi.nlm.nih.gov/pubmed/25244936 http://dx.doi.org/10.1186/1471-2105-15-313 |
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author | Cui, Feng Chen, Linlin LoVerso, Peter R Zhurkin, Victor B |
author_facet | Cui, Feng Chen, Linlin LoVerso, Peter R Zhurkin, Victor B |
author_sort | Cui, Feng |
collection | PubMed |
description | BACKGROUND: An organism’s DNA sequence is one of the key factors guiding the positioning of nucleosomes within a cell’s nucleus. Sequence-dependent bending anisotropy dictates how DNA is wrapped around a histone octamer. One of the best established sequence patterns consistent with this anisotropy is the periodic occurrence of AT-containing dinucleotides (WW) and GC-containing dinucleotides (SS) in the nucleosomal locations where DNA is bent in the minor and major grooves, respectively. Although this simple pattern has been observed in nucleosomes across eukaryotic genomes, its use for prediction of nucleosome positioning was not systematically tested. RESULTS: We present a simple computational model, termed the W/S scheme, implementing this pattern, without using any training data. This model accurately predicts the rotational positioning of nucleosomes both in vitro and in vivo, in yeast and human genomes. About 65 – 75% of the experimentally observed nucleosome positions are predicted with the precision of one to two base pairs. The program is freely available at http://people.rit.edu/fxcsbi/WS_scheme/. We also introduce a simple and efficient way to compare the performance of different models predicting the rotational positioning of nucleosomes. CONCLUSIONS: This paper presents the W/S scheme to achieve accurate prediction of rotational positioning of nucleosomes, solely based on the sequence-dependent anisotropic bending of nucleosomal DNA. This method successfully captures DNA features critical for the rotational positioning of nucleosomes, and can be further improved by incorporating additional terms related to the translational positioning of nucleosomes in a species-specific manner. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2105-15-313) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4261538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42615382014-12-10 Prediction of nucleosome rotational positioning in yeast and human genomes based on sequence-dependent DNA anisotropy Cui, Feng Chen, Linlin LoVerso, Peter R Zhurkin, Victor B BMC Bioinformatics Methodology Article BACKGROUND: An organism’s DNA sequence is one of the key factors guiding the positioning of nucleosomes within a cell’s nucleus. Sequence-dependent bending anisotropy dictates how DNA is wrapped around a histone octamer. One of the best established sequence patterns consistent with this anisotropy is the periodic occurrence of AT-containing dinucleotides (WW) and GC-containing dinucleotides (SS) in the nucleosomal locations where DNA is bent in the minor and major grooves, respectively. Although this simple pattern has been observed in nucleosomes across eukaryotic genomes, its use for prediction of nucleosome positioning was not systematically tested. RESULTS: We present a simple computational model, termed the W/S scheme, implementing this pattern, without using any training data. This model accurately predicts the rotational positioning of nucleosomes both in vitro and in vivo, in yeast and human genomes. About 65 – 75% of the experimentally observed nucleosome positions are predicted with the precision of one to two base pairs. The program is freely available at http://people.rit.edu/fxcsbi/WS_scheme/. We also introduce a simple and efficient way to compare the performance of different models predicting the rotational positioning of nucleosomes. CONCLUSIONS: This paper presents the W/S scheme to achieve accurate prediction of rotational positioning of nucleosomes, solely based on the sequence-dependent anisotropic bending of nucleosomal DNA. This method successfully captures DNA features critical for the rotational positioning of nucleosomes, and can be further improved by incorporating additional terms related to the translational positioning of nucleosomes in a species-specific manner. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2105-15-313) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-22 /pmc/articles/PMC4261538/ /pubmed/25244936 http://dx.doi.org/10.1186/1471-2105-15-313 Text en © Cui et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Cui, Feng Chen, Linlin LoVerso, Peter R Zhurkin, Victor B Prediction of nucleosome rotational positioning in yeast and human genomes based on sequence-dependent DNA anisotropy |
title | Prediction of nucleosome rotational positioning in yeast and human genomes based on sequence-dependent DNA anisotropy |
title_full | Prediction of nucleosome rotational positioning in yeast and human genomes based on sequence-dependent DNA anisotropy |
title_fullStr | Prediction of nucleosome rotational positioning in yeast and human genomes based on sequence-dependent DNA anisotropy |
title_full_unstemmed | Prediction of nucleosome rotational positioning in yeast and human genomes based on sequence-dependent DNA anisotropy |
title_short | Prediction of nucleosome rotational positioning in yeast and human genomes based on sequence-dependent DNA anisotropy |
title_sort | prediction of nucleosome rotational positioning in yeast and human genomes based on sequence-dependent dna anisotropy |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4261538/ https://www.ncbi.nlm.nih.gov/pubmed/25244936 http://dx.doi.org/10.1186/1471-2105-15-313 |
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