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Báo cáo y học: "ome-wide prediction and identification of cis-natural antisense transcripts in Arabidopsis thaliana"
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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: Genome-wide prediction and identification of cis-natural antisense transcripts in Arabidopsis thaliana. | Research Open Access Genome-wide prediction and identification of cis-natural antisense transcripts in Arabidopsis thaliana Xiu-Jie Wang Terry Gaasterland and Nam-Hai Chua Addresses Laboratory of Computational Genomics The Rockefeller University New York NY 10021 USA. ỶInstitute of Genetics and Developmental Biology Chinese Academy of Sciences Beijing 100101 China. Scripps Institution of Oceanography University of California San Diego La Jolla CA 92093 USA. Laboratory of Plant Molecular Biology The Rockefeller University New York NY 10021 USA. Correspondence Nam-Hai Chua. E-mail chua@mail.rockefeller.edu Published 15 March 2005 Genome Biology 2005 6 R30 doi 10.1 186 gb-2005-6-4-r30 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2005 6 4 R30 Received 17 December 2004 Revised 7 February 2005 Accepted 25 February 2005 2005 Wang 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 Natural antisense transcripts NAT are a class of endogenous coding or nonprotein-coding RNAs with sequence complementarity to other transcripts. Several lines of evidence have shown that cis- and trans-NATs may participate in a broad range of gene regulatory events. Genome-wide identification of cis-NATs in human mouse and rice has revealed their widespread occurrence in eukaryotes. However little is known about cis-NATs in the model plant Arabidopsis thaliana. Results We developed a new computational method to predict and identify cis-encoded NATs in Arabidopsis and found 1 340 potential NAT pairs. The expression of both sense and antisense transcripts of 957 NAT pairs was confirmed using Arabidopsis full-length cDNAs and public massively parallel signature sequencing