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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Dissection of a DNA-damage-induced transcriptional network using a combination of microarrays, RNA interference and computational promoter analysis. | Open Access Research Dissection of a DNA-damage-induced transcriptional network using a combination of microarrays RNA interference and computational promoter analysis Ran Elkonn Sharon Rashi-Elkelesn Yaniv Lerenthal Chaim Linhart Tamar Tenne Ninette Amariglio Gideon Rechavi Ron ShamiU and Yosef Shiloh Addresses The David and Inez Myers Laboratory for Genetic Research Department of Human Genetics Sackler School of Medicine Tel Aviv University Tel Aviv 69978 Israel. ỶSchool of Computer Science The Chaim Sheba Medical Center and Sackler School of Medicine Tel Aviv University Tel Aviv 69978 Israel. Department of Pediatric Hemato-Oncology and Functional Genomics The Chaim Sheba Medical Center and Sackler School of Medicine Tel Aviv University Tel Aviv 69978 Israel. n These authors contributed equally to this work. Correspondence Yosef Shiloh. E-mail yossih@post.tau.ac.il Published 13 April 2005 Genome Biology 2005 6 R43 doi 10.1 186 gb-2005-6-5-r43 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2005 6 5 R43 Received 29 December 2004 Revised 3 February 2005 Accepted 8 March 2005 2005 Elkon et al. 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. Abstract Background Gene-expression microarrays and RNA interferences RNAi are among the most prominent techniques in functional genomics. The combination of the two holds promise for systematic large-scale dissection of transcriptional networks. Recent studies however raise the concern that nonspecific responses to small interfering RNAs siRNAs might obscure the consequences of silencing the gene of interest throwing into question the ability of this experimental strategy to achieve precise network dissections. Results We used
