tailieunhanh - Báo cáo y học: "Variations in the transcriptome of Alzheimer's disease reveal molecular networks involved in cardiovascular diseases"

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: Variations in the transcriptome of Alzheimer's disease reveal molecular networks involved in cardiovascular diseases. | Open Access Research Variations in the transcriptome of Alzheimer s disease reveal molecular networks involved in cardiovascular diseases Monika Rayn Jianhua RuanHt and Weixiong Zhang Addresses Washington University School of Engineering Department of Computer Science and Engineering 1 Brookings Drive Saint Louis Missouri 63130 USA. University of Texas at San Antonio Department of Computer Science One UTSA Circle San Antonio Texas 78249 USA. Washington University School of Medicine Department of Genetics 660 S. Euclid Ave Saint Louis Missouri 63110 USA. n These authors contributed equally to this work. Correspondence Weixiong Zhang. Email Published 8 October 2008 Genome Biology 2008 9 R148 doi gb-2008-9- 10-r 148 The electronic version of this article is the complete one and can be found online at http 2008 9 10 R148 Received 2 May 2008 Revised 23 August 2008 Accepted 8 October 2008 2008 Ray 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 Because of its polygenic nature Alzheimer s disease is believed to be caused not by defects in single genes but rather by variations in a large number of genes and their complex interactions. A systems biology approach such as the generation of a network of co-expressed genes and the identification of functional modules and c s-regulatory elements to extract insights and knowledge from microarray data will lead to a better understanding of complex diseases such as Alzheimer s disease. In this study we perform a series of analyses using co-expression networks c s-regulatory elements and functions of co-expressed gene modules to analyze single-cell gene expression data from normal and Alzheimer s disease-affected .