Elucidating master integrators of tumor-related phenotypes

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dc.contributor.author Califano, Andrea
dc.date.accessioned 2010-09-27T20:26:14Z
dc.date.available 2010-09-27T20:26:14Z
dc.date.issued 2010-09-09
dc.identifier.uri http://hdl.handle.net/1853/34915
dc.description Andrea Califano from Columbia University presented a lecture on Tuesday, September 21, 2010 from 11:00 AM to 12:00 PM in the Klaus Advance Computing Building, Room 1116E on the Georgia Tech Campus. en_US
dc.description Runtime: 71:51 minutes
dc.description.abstract The identification of genes acting synergistically as master regulators of physiologic and pathologic cellular phenotypes is a key open problem in systems biology, Here we use a molecular interaction based approach to identify the repertoire of transcription factors (TFs) of a master regulatory module responsible for synergistic activation of a tumor-specific signature. Specifically, we used the ARACNe algorithm and other computational tools to infer regulatory interactions responsible for initiating and maintaining the mesenchymal phenotype of Glioblastoma Multiforme (GBM), previously associated with the poorest disease prognosis. Expression of mesenchymal genes is a hallmark of aggressiveness but the upstream regulators of the signature are unknown. Starting from the unbiased analysis of all TFs, we identify a highly interconnected module of six TFs jointly regulating >75% of the genes in the signature. Two TFs (Stat3 and C/EBPb), in particular, display features of initiators and master regulators of module activity. Biochemical validation confirms that the TFs in the module bind to the inferred promoters in vivo and ectopic expression of the master TFs activates expression of the mesenchymal signature. These effects are sufficient to trigger mesenchymal transformation of neural stem cells, which become highly tumorigenic in vivo, and promote migration and invasion. Conversely, silencing of Stat3 and C/EBPb in human glioma cells leads to collapse of the mesenchymal signature and reduction of tumor aggressiveness. Our results reveal that activation of a small transcriptional module is necessary and sufficient to induce a mesenchymal phenotype in malignant brain tumors. en_US
dc.format.extent 71:51 minutes
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject ARACNe algorithm en_US
dc.subject Transcription factors en_US
dc.subject Mesenchymal transformation en_US
dc.subject Neural stem cells en_US
dc.subject Glioblastoma Multiforme (GBM) en_US
dc.title Elucidating master integrators of tumor-related phenotypes en_US
dc.type Lecture en_US
dc.type Video en_US
dc.contributor.corporatename Columbia University

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