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Gene regulatory network structure for dorsal and ventral telencephalon development

Algorithm-based gene regulatory network structure for dorsal and ventral telencephalon development. The Bayesian-based TAO-Gen algorithm was implemented with an informative prior structure to predict the optimal network structure based on the LOF and GOF microarray datasets, evolutionarily conserved TFBS data, prior literature-based knowledge, and spatial and time-specific expression patterns. To highlight the key regulators, the nodes representing genes predicted to be the parent of at least nine other genes are largest in size (Sox9, Mef2a, Elavl4 and Pou6f1), whereas those that are predicted to regulate at least five other genes are medium in size (Ngn2, Centg3, Tef, Tcf4, Wnt7b, Pou2f1, Yy1, Dll1, E2f1, Arx, and Creb). See Additional file 11 for matrix of connectivity and Methods for a more detailed description of algorithm.

Original file name: Figure 5. 07-6-15-5-l.jpg http://www.biomedcentral.com/1741-7007/6/15/figure/F5

Reference

<pubmed>18377642</pubmed>| BMC Biol.

Gohlke et al. BMC Biology 2008 6:15 doi:10.1186/1741-7007-6-15


© 2008 Gohlke et al; licensee BioMed Central Ltd. 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.

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current18:22, 7 November 2010Thumbnail for version as of 18:22, 7 November 20101,000 × 773 (215 KB)S8600021 (talk | contribs)==Gene regulatory network structure for dorsal and ventral telencephalon development== Algorithm-based gene regulatory network structure for dorsal and ventral telencephalon development. The Bayesian-based TAO-Gen algorithm was implemented with an inform

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