Network analysis of oncogenic Ras activation in cancer. Export

@article{citeulike:1800675, abstract = {To investigate the unregulated Ras activation associated with cancer, we developed and validated a mathematical model of Ras signaling. The model-based predictions and associated experiments help explain why only one of two classes of activating Ras point mutations with in vitro transformation potential is commonly found in cancers. Model-based analysis of these mutants uncovered a systems-level process that contributes to total Ras activation in cells. This predicted behavior was supported by experimental observations. We also used the model to identify a strategy in which a drug could cause stronger inhibition on the cancerous Ras network than on the wild-type network. This system-level analysis of the oncogenic Ras network provides new insights and potential therapeutic strategies.}, address = {Beirne B. Carter Center for Immunology Research and the Department of Microbiology, University of Virginia, Charlottesville, VA 22908, USA.}, author = {Stites, E. C. and Trampont, P. C. and Ma, Z. and Ravichandran, K. S.}, citeulike-article-id = {1800675}, citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.1144642}, citeulike-linkout-1 = {http://www.sciencemag.org/cgi/content/abstract/318/5849/463}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17947584}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17947584}, day = {19}, doi = {10.1126/science.1144642}, issn = {1095-9203}, journal = {Science (New York, N.Y.)}, keywords = {cancer, network}, month = {October}, number = {5849}, pages = {463--467}, posted-at = {2007-10-24 15:49:35}, priority = {1}, title = {Network analysis of oncogenic Ras activation in cancer.}, url = {http://dx.doi.org/10.1126/science.1144642}, volume = {318}, year = {2007} }

TY - JOUR ID - citeulike:1800675 L3 - citeulike-article-id:1800675 N2 - To investigate the unregulated Ras activation associated with cancer, we developed and validated a mathematical model of Ras signaling. The model-based predictions and associated experiments help explain why only one of two classes of activating Ras point mutations with in vitro transformation potential is commonly found in cancers. Model-based analysis of these mutants uncovered a systems-level process that contributes to total Ras activation in cells. This predicted behavior was supported by experimental observations. We also used the model to identify a strategy in which a drug could cause stronger inhibition on the cancerous Ras network than on the wild-type network. This system-level analysis of the oncogenic Ras network provides new insights and potential therapeutic strategies. IS - 5849 JF - Science (New York, N.Y.) SN - 1095-9203 AD - Beirne B. Carter Center for Immunology Research and the Department of Microbiology, University of Virginia, Charlottesville, VA 22908, USA. EP - 467 TI - Network analysis of oncogenic Ras activation in cancer. VL - 318 SP - 463 KW - cancer KW - network AU - Stites, EC AU - Trampont, PC AU - Ma, Z AU - Ravichandran, KS PY - 2007/10/19/ UR - http://dx.doi.org/10.1126/science.1144642 ER -