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báo cáo khoa học: "Gene-expression and network-based analysis reveals a novel role for hsa-mir-9 and drug control over the p38 network in Glioblastoma Multiforme progression"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Gene-expression and network-based analysis reveals a novel role for hsa-mir-9 and drug control over the p38 network in Glioblastoma Multiforme progression | Genome Medicine This Provisional PDF corresponds to the article as it appeared upon acceptance. Copyedited and fully formatted PDF and full text HTML versions will be made available soon. Gene-expression and network-based analysis reveals a novel role for hsa-mir-9 and drug control over the p38 network in Glioblastoma Multiforme progression Genome Medicine 2011 3 77 doi 10.1186 gm293 Rotem Ben-Hamo rotem@systemsbiomed.org Sol Efroni sol.efroni@biu.ac.il ISSN 1756-994X Article type Research Submission date 17 August 2011 Acceptance date 28 November 2011 Publication date 28 November 2011 Article URL http genomemedicine.com content 3 11 77 This peer-reviewed article was published immediately upon acceptance. It can be downloaded printed and distributed freely for any purposes see copyright notice below . Articles in Genome Medicine are listed in PubMed and archived at PubMed Central. For information about publishing your research in Genome Medicine go to http genomemedicine.com authors instructions 2011 Ben-Hamo and Efroni 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. Gene-expression and network-based analysis reveals a novel role for hsa-mir-9 and drug control over the p38 network in Glioblastoma Multiforme progression Rotem Ben-Hamo1 and Sol Efroni1 . 1The Mina and Everard Goodman Faculty of Life Science Bar Ilan University 1 Keren-Hayesod St. Ramat-Gan 52900 Israel Abstract Background Glioblastoma Multiforme GBM is the most common aggressive and malignant primary tumor of the brain and is associated with one of the worst 5-year survival rates among all human cancers. Identification of molecular interactions that affiliate with disease progression may be key in finding novel treatments. Methods Using five independent .