Journal Article

Modeling interactions between adjacent nucleosomes improves genome-wide predictions of nucleosome occupancy

Shai Lubliner and Eran Segal

in Bioinformatics

Volume 25, issue 12, pages i348-i355
Published in print June 2009 | ISSN: 1367-4803
Published online May 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp216

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Motivation: Understanding the mechanisms that govern nucleosome positioning over genomes in vivo is essential for unraveling the role of chromatin organization in transcriptional regulation. Until now, models for predicting genome-wide nucleosome occupancy have assumed that the DNA associations of neighboring nucleosomes on the genome are independent. We present a new model that relaxes this independence assumption by modeling interactions between adjacent nucleosomes.

Results: We show that modeling interactions between adjacent nucleosomes improves genome-wide nucleosome occupancy predictions in an in vitro system that includes only nucleosomes and purified DNA, where the resulting model has a preference for short spacings (linkers) of less than 20 bp in length between neighboring nucleosomes. Since nucleosome occupancy in vitro depends only on properties intrinsic to nucleosomes, these results suggest that the interactions we find are intrinsic to nucleosomes and do not depend on other factors, such as transcription factors and chromatin remodelers. We also show that modeling these intrinsic interactions significantly improves genome-wide predictions of nucleosome occupancy in vivo.

Contact: eran.segal@weizmann.ac.il

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  5932 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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