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Báo cáo y học: "Genome adaptation to chemical stress: clues from comparative transcriptomics in Saccharomyces cerevisiae and Candida glabrata"

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: Genome adaptation to chemical stress: clues from comparative transcriptomics in Saccharomyces cerevisiae and Candida glabrata. | Research Open Access Genome adaptation to chemical stress clues from comparative transcriptomics in Saccharomyces cerevisiae and Candida glabrata Gaelle Lelandais Véronique Tanty Colette Geneix Catherine Etchebest Claude Jacqn and Frédéric Devaux Addresses Equipe de Bioinformatique Génomique et Moléculaire INSERM UMR S726 Université Paris 7 INTS 6 rue Alexandre Cabanel 75015 Paris France. Taboratoire de Génétique Moléculaire CNRS UMR 8541 Ecole Normale Supérieure 46 rue d Ulm 75230 Paris cedex 05 France. Plate-forme transcriptome IFR 36 Ecole Normale Supérieure 46 rue d Ulm 75230 Paris cedex 05 France. Current address MTI Bât. Lamarck 35 rue Hélène Brion 75205 Paris Cedex 13 France. Correspondence Gaelle Lelandais. Email gaelle.lelandais@univ-paris-diderot.fr Published 24 November 2008 Genome Biology 2008 9 Rl64 doi l0.ll86 gb-2008-9- ll-rl64 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2008 9 ll Rl64 Received 6 October 2008 Accepted 24 November 2008 2008 Lelandais 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 technical and methodological advances have placed microbial models at the forefront of evolutionary and environmental genomics. To better understand the logic of genetic network evolution we combined comparative transcriptomics a differential clustering algorithm and promoter analyses in a study of the evolution of transcriptional networks responding to an antifungal agent in two yeast species the free-living model organism Saccharomyces cerevisiae and the human pathogen Candida glabrata. Results We found that although the gene expression patterns characterizing the response to drugs were remarkably conserved between .