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Characterization of the proneural gene regulatory network during mouse telencephalon development

Authors :
Parker Joel S
Nguyen Laurent
Castro Diogo S
Zimmer Celine
Smith Marjolein V
Parham Frederick M
Armant Olivier
Gohlke Julia M
Gradwohl Gerard
Portier Christopher J
Guillemot François
Source :
BMC Biology, Vol 6, Iss 1, p 15 (2008)
Publication Year :
2008
Publisher :
BMC, 2008.

Abstract

Abstract Background The proneural proteins Mash1 and Ngn2 are key cell autonomous regulators of neurogenesis in the mammalian central nervous system, yet little is known about the molecular pathways regulated by these transcription factors. Results Here we identify the downstream effectors of proneural genes in the telencephalon using a genomic approach to analyze the transcriptome of mice that are either lacking or overexpressing proneural genes. Novel targets of Ngn2 and/or Mash1 were identified, such as members of the Notch and Wnt pathways, and proteins involved in adhesion and signal transduction. Next, we searched the non-coding sequence surrounding the predicted proneural downstream effector genes for evolutionarily conserved transcription factor binding sites associated with newly defined consensus binding sites for Ngn2 and Mash1. This allowed us to identify potential novel co-factors and co-regulators for proneural proteins, including Creb, Tcf/Lef, Pou-domain containing transcription factors, Sox9, and Mef2a. Finally, a gene regulatory network was delineated using a novel Bayesian-based algorithm that can incorporate information from diverse datasets. Conclusion Together, these data shed light on the molecular pathways regulated by proneural genes and demonstrate that the integration of experimentation with bioinformatics can guide both hypothesis testing and hypothesis generation.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
17417007
Volume :
6
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.b37f288d84d0472392d1c4e0004dc3df
Document Type :
article
Full Text :
https://doi.org/10.1186/1741-7007-6-15