Journal of Applied Bioinformatics & Computational BiologyISSN: 2329-9533

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Rui Tian Author


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Quantitative Models Identify Histone Signatures of Poised Genes Prior to Cellular Differentiation

Author(s):

Rui Tian

Background: Recent studies have shown that histone marks are involved in pre-programming gene fates during cellular differentiation. Bivalent domains (marked by both H3K4me3 and H3K27me3) have been proposed to act in the histone prepatterning of poised genes; however, bivalent genes could also resolve into monovalent silenced states during differentiation. Thus, the histone signatures of poised genes need to be more precisely characterized.

Results: Using a support vector machine (SVM), we show that the collective histone modification data from human blood hematopoietic cells (HSCs) could predict poised genes with fairly high predictive accuracy within the model of directed erythrocyte differentiation from HSCs. Surprisingly, models with single ... view moreĀ»

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