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Characterization of the proneural gene regulatory network during mouse telencephalon development
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 gen...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2330019/ https://www.ncbi.nlm.nih.gov/pubmed/18377642 http://dx.doi.org/10.1186/1741-7007-6-15 |
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author | Gohlke, Julia M Armant, Olivier Parham, Frederick M Smith, Marjolein V Zimmer, Celine Castro, Diogo S Nguyen, Laurent Parker, Joel S Gradwohl, Gerard Portier, Christopher J Guillemot, François |
author_facet | Gohlke, Julia M Armant, Olivier Parham, Frederick M Smith, Marjolein V Zimmer, Celine Castro, Diogo S Nguyen, Laurent Parker, Joel S Gradwohl, Gerard Portier, Christopher J Guillemot, François |
author_sort | Gohlke, Julia M |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2330019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23300192008-04-24 Characterization of the proneural gene regulatory network during mouse telencephalon development Gohlke, Julia M Armant, Olivier Parham, Frederick M Smith, Marjolein V Zimmer, Celine Castro, Diogo S Nguyen, Laurent Parker, Joel S Gradwohl, Gerard Portier, Christopher J Guillemot, François BMC Biol Research Article 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. BioMed Central 2008-03-31 /pmc/articles/PMC2330019/ /pubmed/18377642 http://dx.doi.org/10.1186/1741-7007-6-15 Text en Copyright © 2008 Gohlke et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Gohlke, Julia M Armant, Olivier Parham, Frederick M Smith, Marjolein V Zimmer, Celine Castro, Diogo S Nguyen, Laurent Parker, Joel S Gradwohl, Gerard Portier, Christopher J Guillemot, François Characterization of the proneural gene regulatory network during mouse telencephalon development |
title | Characterization of the proneural gene regulatory network during mouse telencephalon development |
title_full | Characterization of the proneural gene regulatory network during mouse telencephalon development |
title_fullStr | Characterization of the proneural gene regulatory network during mouse telencephalon development |
title_full_unstemmed | Characterization of the proneural gene regulatory network during mouse telencephalon development |
title_short | Characterization of the proneural gene regulatory network during mouse telencephalon development |
title_sort | characterization of the proneural gene regulatory network during mouse telencephalon development |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2330019/ https://www.ncbi.nlm.nih.gov/pubmed/18377642 http://dx.doi.org/10.1186/1741-7007-6-15 |
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