tailieunhanh - Báo cáo y học: "Genome-wide patterns of carbon and nitrogen regulation of gene expression validate the combined carbon and nitrogen (CN)-signaling hypothesis in plants"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Genome-wide patterns of carbon and nitrogen regulation of gene expression validate the combined carbon and nitrogen (CN)-signaling hypothesis in plants. | Research Open Access Genome-wide patterns of carbon and nitrogen regulation of gene expression validate the combined carbon and nitrogen CN -signaling hypothesis in plants Peter M Palenchar Andrei KouranovỶ Laurence V Lejay and Gloria M Coruzzi Addresses Department of Chemistry Rutgers University Camden NJ 10003 USA. Center for Bioinformatics University of Pennsylvania 423 Guardian Drive Philadelphia PA 19104 USA. Laboratoire de Biochimie et physiologie moleculaire des plantes 2 Place Viala 34060 Montpellier Cedex 1 France. Department of Biology New York University 100 Washington Square East New York NY 10003 USA. Correspondence Gloria M Coruzzi. E-mail Published 29 October 2004 Genome Biology 2004 5 R91 The electronic version of this article is the complete one and can be found online at http 2004 5 11 R91 Received 7 July 2004 Revised 3 1 August 2004 Accepted 23 September 2004 2004 Pelenchar 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 Carbon and nitrogen are two signals that influence plant growth and development. It is known that carbon- and nitrogen-signaling pathways influence one another to affect gene expression but little is known about which genes are regulated by interactions between carbon and nitrogen signaling or the mechanisms by which the different pathways interact. Results Microarray analysis was used to study global changes in mRNA levels due to carbon and nitrogen in Arabidopsis thaliana. An informatic analysis using InterAct Class enabled us to classify genes on the basis of their responses to carbon or nitrogen treatments. This analysis provides in vivo evidence supporting the hypothesis that plants have a carbon nitrogen CN -sensing