Literature DB >> 23313299

Genome-wide identification of Polycomb target genes in human embryonic stem cells.

Xue Xiao1, Zhe Li, Hongbo Liu, Jianzhong Su, Fang Wang, Xueting Wu, Hui Liu, Qiong Wu, Yan Zhang.   

Abstract

Polycomb group (PcG) proteins are epigenetic regulators that are essential for stem cell differentiation. Identifying PcG binding profiles is important for understanding the mechanisms of PcG-mediated repression in mammals. We used a mapping-convergence (M-C) algorithm using support vector machine (SVM) technology for genome-wide identification of PcG target genes in human embryonic stem cells. The method combined histone modifications and transcription factor binding motifs, eliminating the need for negative training samples as in traditional SVM. Good prediction accuracy comprising 3-fold cross-validation was obtained. In the analysis of 3133 PcG target genes identified by the model, PcG proteins were observed to suppress gene expression during differentiation. The results suggested that PcG and DNA methylation non-redundantly repress gene expression during differentiation. The genome-wide identification of PcG target genes will aid the further analysis of PcG mechanisms.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23313299     DOI: 10.1016/j.gene.2012.12.022

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  2 in total

1.  DNA sequence models of genome-wide Drosophila melanogaster Polycomb binding sites improve generalization to independent Polycomb Response Elements.

Authors:  Bjørn André Bredesen; Marc Rehmsmeier
Journal:  Nucleic Acids Res       Date:  2019-09-05       Impact factor: 16.971

2.  MOCCA: a flexible suite for modelling DNA sequence motif occurrence combinatorics.

Authors:  Bjørn André Bredesen; Marc Rehmsmeier
Journal:  BMC Bioinformatics       Date:  2021-05-07       Impact factor: 3.169

  2 in total

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