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Computational Study of Associations Between Histone Modification and Protein-DNA Binding in Yeast Genome by Integrating Diverse Information

Overview
Journal BMC Genomics
Publisher Biomed Central
Specialty Genetics
Date 2011 Apr 5
PMID 21457549
Citations 4
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Abstract

Background: In parallel with the quick development of high-throughput technologies, in vivo (vitro) experiments for genome-wide identification of protein-DNA interactions have been developed. Nevertheless, a few questions remain in the field, such as how to distinguish true protein-DNA binding (functional binding) from non-specific protein-DNA binding (non-functional binding). Previous researches tackled the problem by integrated analysis of multiple available sources. However, few systematic studies have been carried out to examine the possible relationships between histone modification and protein-DNA binding. Here this issue was investigated by using publicly available histone modification data in yeast.

Results: Two separate histone modification datasets were studied, at both the open reading frame (ORF) and the promoter region of binding targets for 37 yeast transcription factors. Both results revealed a distinct histone modification pattern between the functional protein-DNA binding sites and non-functional ones for almost half of all TFs tested. Such difference is much stronger at the ORF than at the promoter region. In addition, a protein-histone modification interaction pathway can only be inferred from the functional protein binding targets.

Conclusions: Overall, the results suggest that histone modification information can be used to distinguish the functional protein-DNA binding from the non-functional, and that the regulation of various proteins is controlled by the modification of different histone lysines such as the protein-specific histone modification levels.

Citing Articles

Contribution of Sequence Motif, Chromatin State, and DNA Structure Features to Predictive Models of Transcription Factor Binding in Yeast.

Tsai Z, Shiu S, Tsai H PLoS Comput Biol. 2015; 11(8):e1004418.

PMID: 26291518 PMC: 4546298. DOI: 10.1371/journal.pcbi.1004418.


Comprehensive genome-wide transcription factor analysis reveals that a combination of high affinity and low affinity DNA binding is needed for human gene regulation.

Wang J, Malecka A, Troen G, Delabie J BMC Genomics. 2015; 16 Suppl 7:S12.

PMID: 26099425 PMC: 4474539. DOI: 10.1186/1471-2164-16-S7-S12.


Finding associations among histone modifications using sparse partial correlation networks.

Lasserre J, Chung H, Vingron M PLoS Comput Biol. 2013; 9(9):e1003168.

PMID: 24039558 PMC: 3764007. DOI: 10.1371/journal.pcbi.1003168.


Genome-wide analysis uncovers high frequency, strong differential chromosomal interactions and their associated epigenetic patterns in E2-mediated gene regulation.

Wang J, Lan X, Hsu P, Hsu H, Huang K, Parvin J BMC Genomics. 2013; 14:70.

PMID: 23368971 PMC: 3599885. DOI: 10.1186/1471-2164-14-70.

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