Predicting distinct organization of transcription factor binding sites on the promoter regions: a new genome-based approach to expand human embryonic stem cell regulatory network
- PMID: 24042128
- DOI: 10.1016/j.gene.2013.09.011
Predicting distinct organization of transcription factor binding sites on the promoter regions: a new genome-based approach to expand human embryonic stem cell regulatory network
Abstract
Self-proliferation and differentiation into distinct cell types have been made stem cell as a promising target for regenerative medicine. Several key genes can regulate self-renewal and pluripotency of embryonic stem cells (hESCs). They work together and build a transcriptional hierarchy. Coexpression and coregulation of genes control by common regulatory elements on the promoter regions. Consequently, distinct organization and combination of transcription factor binding sites (TFBSs modules) on promoter regions, in view of order and distance, lead to a common specific expression pattern within a set of genes. To gain insights into transcriptional regulation of hESCs, we selected promoter regions of eleven common expressed hESC genes including SOX2, LIN28, STAT3, NANOG, LEFTB, TDGF1, POU5F1, FOXD3, TERF1, REX1 and GDF3 to predict activating regulatory modules on promoters and discover key corresponding transcription factors. Then, promoter regions in human genome were explored for modules and 328 genes containing the same modules were detected. Using microarray data, we verified that 102 of 328 genes commonly upregulate in hESCs. Also, using output data of DNA-protein interaction assays, we found that 42 of all predicted genes are targets of SOX2, NANOG and POU5F1. Additionally, a protein interaction network of hESC genes was constructed based on biological processes, and interestingly, 126 downregulated genes along with upregulated ones identified by promoter analysis were predicted in the network. Based on the results, we suggest that the identified genes, coregulating with common hESC genes, represent a novel approach for gene discovery based on whole genome promoter analysis irrespective of gene expression. Altogether, promoter profiling can be used to expand hESC transcriptional regulatory circuitry by analysis of shared functional sequences between genes. This approach provides a clear image on underlying regulatory mechanism of gene expression profile and offers a novel approach in designing gene networks of stem cell.
Keywords: ChIP; Embryonic stem cell; GO; Gene expression; Gene ontology; Promoter; TFBSs; Transcription factor binding sites; chromatin immunoprecipitation; gene ontology; hESCs; human embryonic stem cells; transcription factor binding sites.
© 2013 Elsevier B.V. All rights reserved.
Similar articles
-
Genome-wide prediction of transcriptional regulatory elements of human promoters using gene expression and promoter analysis data.BMC Bioinformatics. 2006 Jul 4;7:330. doi: 10.1186/1471-2105-7-330. BMC Bioinformatics. 2006. PMID: 16817975 Free PMC article.
-
Yamanaka factors critically regulate the developmental signaling network in mouse embryonic stem cells.Cell Res. 2008 Dec;18(12):1177-89. doi: 10.1038/cr.2008.309. Cell Res. 2008. PMID: 19030024
-
Computer-assisted identification of cell cycle-related genes: new targets for E2F transcription factors.J Mol Biol. 2001 May 25;309(1):99-120. doi: 10.1006/jmbi.2001.4650. J Mol Biol. 2001. PMID: 11491305
-
Cluster analysis and promoter modelling as bioinformatics tools for the identification of target genes from expression array data.Pharmacogenomics. 2001 Feb;2(1):25-36. doi: 10.1517/14622416.2.1.25. Pharmacogenomics. 2001. PMID: 11258194 Review.
-
Master stem cell transcription factors and signaling regulation.Cell Reprogram. 2010 Feb;12(1):3-13. doi: 10.1089/cell.2009.0033. Cell Reprogram. 2010. PMID: 20132009 Review.
Cited by
-
A Transcription Regulatory Sequence in the 5' Untranslated Region of SARS-CoV-2 Is Vital for Virus Replication with an Altered Evolutionary Pattern against Human Inhibitory MicroRNAs.Cells. 2021 Feb 4;10(2):319. doi: 10.3390/cells10020319. Cells. 2021. PMID: 33557205 Free PMC article.
-
Molecular characterization of Brassica napus stress related transcription factors, BnMYB44 and BnVIP1, selected based on comparative analysis of Arabidopsis thaliana and Eutrema salsugineum transcriptomes.Mol Biol Rep. 2018 Oct;45(5):1111-1124. doi: 10.1007/s11033-018-4262-0. Epub 2018 Jul 23. Mol Biol Rep. 2018. PMID: 30039430
-
Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle.PLoS One. 2018 Feb 22;13(2):e0191227. doi: 10.1371/journal.pone.0191227. eCollection 2018. PLoS One. 2018. PMID: 29470489 Free PMC article.
-
ESRG is critical to maintain the cell survival and self-renewal/pluripotency of hPSCs by collaborating with MCM2 to suppress p53 pathway.Int J Biol Sci. 2023 Jan 16;19(3):916-935. doi: 10.7150/ijbs.79095. eCollection 2023. Int J Biol Sci. 2023. PMID: 36778110 Free PMC article.
-
Prediction of potential cancer-risk regions based on transcriptome data: towards a comprehensive view.PLoS One. 2014 May 5;9(5):e96320. doi: 10.1371/journal.pone.0096320. eCollection 2014. PLoS One. 2014. PMID: 24796549 Free PMC article.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials
Miscellaneous