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Báo cáo y học: " mRNA expression profiles show differential regulatory effects of microRNAs between estrogen receptor-positive and estrogen receptor-negative breast cancer"

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: mRNA expression profiles show differential regulatory effects of microRNAs between estrogen receptor-positive and estrogen receptor-negative breast cancer. | Open Access Researc h mRNA expression profiles show differential regulatory effects of microRNAs between estrogen receptor-positive and estrogen receptor-negative breast cancer Chao Chengn Xuping FuHt Pedro Alves and Mark Gerstein Addresses Program in Computational Biology and Bioinformatics Yale University George Street New Haven CT 06511 USA. State Key Laboratory of Genetic Engineering Institute of Genetics School of Life Science Fudan University Handan Road Yangpu District Shanghai 200433 PR China. Department of Molecular Biophysics and Biochemistry Yale University Whitney Avenue New Haven CT 06520 USA. Department of Computer Science Yale University Prospect Street New Haven CT 06511 USA. n These authors contributed equally to this work. Correspondence Mark Gerstein. Email mark.gerstein@yale.edu Published I September 2009 Received 21 July 2009 Genome Biology 2009 10 R90 doi 10.1186 gb-2009- 10-9-r90 Accepted 1 September 2009 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2009 10 9 R90 2009 Cheng 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 Recent studies have shown that the regulatory effect of microRNAs can be investigated by examining expression changes of their target genes. Given this it is useful to define an overall metric of regulatory effect for a specific microRNA and see how this changes across different conditions. Results Here we define a regulatory effect score RE-score to measure the inhibitory effect of a microRNA in a sample essentially the average difference in expression of its targets versus nontargets. Then we compare the RE-scores of various microRNAs between two breast cancer subtypes estrogen receptor .