tailieunhanh - Báo cáo y học: " Revealing signaling pathway deregulation by using gene expression signatures and regulatory motif analysis"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Revealing signaling pathway deregulation by using gene expression signatures and regulatory motif analysis. | Open Access Method Revealing signaling pathway deregulation by using gene expression signatures and regulatory motif analysis Yingchun Liu and Markus Ringner Addresses Computational Biology and Biological Physics Department of Theoretical Physics Lund University SE-221 85 Sweden. Division of Oncology Department of Clinical Sciences Lund University SE-221 85 Sweden. Correspondence Markus Ringnér. Email Published II May 2007 Genome Biology 2007 8 R77 doi I86 gb-2007-8-5-r77 The electronic version of this article is the complete one and can be found online at http 2007 8 5 R77 Received 6 October 2006 Revised I9 April 2007 Accepted I I May 2007 2007 Liu and Ringnér 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 Gene expression signatures consisting of tens to hundreds of genes have been found to be informative for different biological states. Recently many computational methods have been proposed for biological interpretation of such signatures. However there is a lack of methods for identifying cell signaling pathways whose deregulation results in an observed expression signature. We present a strategy for identifying such signaling pathways and evaluate the strategy using six human and mouse gene expression signatures. Background Genetic aberrations and variations in cellular processes are usually reflected in the expression levels of many genes. Hence such alterations can potentially be characterized by their gene expression profiles. Gene expression profiling in particular DNA microarray analysis has been widely used in attempts to reveal the underlying mechanisms of many diseases different developmental stages cellular responses to different conditions and many .