Reverse engineering of regulatory networks in human B cells. Export

@article{basso:aracne, abstract = {Cellular phenotypes are determined by the differential activity of networks linking coregulated genes. Available methods for the reverse engineering of such networks from genome-wide expression profiles have been successful only in the analysis of lower eukaryotes with simple genomes. Using a new method called ARACNe (algorithm for the reconstruction of accurate cellular networks), we report the reconstruction of regulatory networks from expression profiles of human B cells. The results are suggestive a hierarchical, scale-free network, where a few highly interconnected genes (hubs) account for most of the interactions. Validation of the network against available data led to the identification of MYC as a major hub, which controls a network comprising known target genes as well as new ones, which were biochemically validated. The newly identified MYC targets include some major hubs. This approach can be generally useful for the analysis of normal and pathologic networks in mammalian cells.}, address = {Institute for Cancer Genetics, 1300 St. Nicholas Avenue, Room 912, New York, New York 10032, USA.}, author = {Basso, Katia and Margolin, Adam A A. and Stolovitzky, Gustavo and Klein, Ulf and Dalla-Favera, Riccardo and Califano, Andrea}, citeulike-article-id = {137368}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/ng1532}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/ng1532}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/15778709}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=15778709}, citeulike-linkout-4 = {http://www.scopus.com/record/display.url?view=extended&origin=resultslist&eid=2-s2.0-16844376909}, day = {20}, doi = {10.1038/ng1532}, issn = {1061-4036}, journal = {Nat Genet}, keywords = {inference, network}, month = {March}, posted-at = {2009-04-15 18:53:19}, priority = {2}, title = {Reverse engineering of regulatory networks in human B cells.}, url = {http://dx.doi.org/10.1038/ng1532}, year = {2005} }

TY - JOUR ID - basso:aracne L3 - citeulike-article-id:137368 N2 - Cellular phenotypes are determined by the differential activity of networks linking coregulated genes. Available methods for the reverse engineering of such networks from genome-wide expression profiles have been successful only in the analysis of lower eukaryotes with simple genomes. Using a new method called ARACNe (algorithm for the reconstruction of accurate cellular networks), we report the reconstruction of regulatory networks from expression profiles of human B cells. The results are suggestive a hierarchical, scale-free network, where a few highly interconnected genes (hubs) account for most of the interactions. Validation of the network against available data led to the identification of MYC as a major hub, which controls a network comprising known target genes as well as new ones, which were biochemically validated. The newly identified MYC targets include some major hubs. This approach can be generally useful for the analysis of normal and pathologic networks in mammalian cells. JF - Nat Genet SN - 1061-4036 AD - Institute for Cancer Genetics, 1300 St. Nicholas Avenue, Room 912, New York, New York 10032, USA. TI - Reverse engineering of regulatory networks in human B cells. KW - inference KW - network AU - Basso, Katia AU - Margolin, Adam A AU - Stolovitzky, Gustavo AU - Klein, Ulf AU - Dalla-Favera, Riccardo AU - Califano, Andrea PY - 2005/03/20/ UR - http://dx.doi.org/10.1038/ng1532 ER -