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Citation
van Steensel, B., Braunschweig, U., Filion, G.J., Chen, M., van Bemmel, J.G., Ideker, T. (2010). Bayesian network analysis of targeting interactions in chromatin.  Genome Res. 20(2): 190--200.
FlyBase ID
FBrf0209848
Publication Type
Research paper
Abstract

In eukaryotes, many chromatin proteins together regulate gene expression. Chromatin proteins often direct the genomic binding pattern of other chromatin proteins, for example, by recruitment or competition mechanisms. The network of such targeting interactions in chromatin is complex and still poorly understood. Based on genome-wide binding maps, we constructed a Bayesian network model of the targeting interactions among a broad set of 43 chromatin components in Drosophila cells. This model predicts many novel functional relationships. For example, we found that the homologous proteins HP1 and HP1C each target the heterochromatin protein HP3 to distinct sets of genes in a competitive manner. We also discovered a central role for the remodeling factor Brahma in the targeting of several DNA-binding factors, including GAGA factor, JRA, and SU(VAR)3-7. Our network model provides a global view of the targeting interplay among dozens of chromatin components.

PubMed ID
PubMed Central ID
PMC2813475 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Genome Res.
    Title
    Genome Research
    Publication Year
    1995-
    ISBN/ISSN
    1088-9051
    Data From Reference