DocumentCode :
3602167
Title :
Identify Critical Genes in Development with Consistent H3K4me2 Patterns across Multiple Tissues
Author :
Nan Meng ; Machiraju, Raghu ; Kun Huang
Author_Institution :
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
Volume :
12
Issue :
5
fYear :
2015
Firstpage :
1104
Lastpage :
1111
Abstract :
Histone modification is an important epigenetic event which plays essential roles in cell differentiation and tissue development. Recent studies show that a unique dimethylation of lysine 4 residue on histone 3 (H3K4me2) distribution pattern around transcription starting sites (TSS) of genes marks tissue specific genes in human CD4 + T cells and mouse nervous tissue cells. However, existence of this pattern has not been widely tested and its implication remains unclear. In this paper, we study the H3K4me2 distribution patterns across six different cell lines from five major tissue types (including muscular tissue, nervous tissue, non-blood connective tissue, blood, and epithelial tissue) as well as embryonic stem cells. We define a metric `tail length´ to quantitatively describe H3K4me2 distribution patterns around the TSS. While confirming the previous observations, we also identified a group of 217 genes with ubiquitous long-tail H3K4me2 patterns in all the tested tissues and the embryonic stem cells (ESC). Further analyses confirmed that these genes are critical for development, and highly interactive with other tissue specific genes as evinced by protein-protein interaction networks, suggesting their critical regulatory functions. Our results suggest that rich information on gene functions and epigenetic events can be revealed using pattern recognition methods.
Keywords :
biological tissues; cellular biophysics; genetics; molecular biophysics; proteins; H3K4me2 distribution patterns; embryonic stem cells; epigenetic events; epithelial tissue; gene functions; histone 3 distribution pattern; human CD4 + T cells; lysine 4 residue; mouse nervous tissue cells; muscular tissue; nervous tissue; nonblood connective tissue; pattern recognition methods; protein-protein interaction networks; transcription starting sites; Bioinformatics; Computational biology; Gene expression; Genomics; Proteins; Stem cells; Differentiation; development; differentiation; histone modification; protein-protein interaction;
fLanguage :
English
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1545-5963
Type :
jour
DOI :
10.1109/TCBB.2015.2430340
Filename :
7103016
Link To Document :
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