Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Integrated analysis of breast cancer cell lines reveals unique signaling pathways. | Researc h Open Access Integrated analysis of breast cancer cell lines reveals unique signaling pathways Laura M Heiser Nicholas J Wang Carolyn L Talcott Keith R Laderoute Merrill Knapp Yinghui Guan Zhi Hu Safiyyah Ziyad Barbara L Weber Sylvie Laquerre Jeffrey R Jackson Richard F Wooster Wen Lin Kuo Joe W Gray and Paul T Spellman Addresses Life Sciences Division Lawrence Berkeley National Laboratory Cyclotron Rd. Berkeley CA 94720 USA. SRI International Inc. Ravenswood Ave Menlo Park CA 94025 USA. Oncology CEDD GlaxoSmithKline Swedeland Rd King of Prussia PA 19406 USA. Comprehensive Cancer Center Sutter Street University of California San Francisco CA 94143 USA. Correspondence Paul T Spellman. Email ptspellman@ Published 25 March 2009 Genome Biology 2009 10 R31 doi gb-2009- l0-3-r3l The electronic version of this article is the complete one and can be found online at http 2009 l0 3 R3l Received 9 September 2008 Revised 12 January 2009 Accepted 25 March 2009 2009 Heiser et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Cancer is a heterogeneous disease resulting from the accumulation of genetic defects that negatively impact control of cell division motility adhesion and apoptosis. Deregulation in signaling along the EgfR-MAPK pathway is common in breast cancer though the manner in which deregulation occurs varies between both individuals and cancer subtypes. Results We were interested in identifying subnetworks within the EgfR-MAPK pathway that are similarly deregulated across subsets of breast cancers. To that end we mapped genomic transcriptional and proteomic profiles for 30 breast cancer cell lines onto a curated Pathway Logic symbolic systems model of EgfR-MAPK .
