Báo cáo y học: "Growth-rate regulated genes have profound impact on interpretation of transcriptome profiling in Saccharomyces cerevisiae"

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: Growth-rate regulated genes have profound impact on interpretation of transcriptome profiling in Saccharomyces cerevisiae. | Open Access Research Growth-rate regulated genes have profound impact on interpretation of transcriptome profiling in Saccharomyces cerevisiae Birgitte Regenbergn Thomas Grotkj rH Ole Winther Anders Fausb0ll Mats Ẳkesson Christoffer Bro Lars Kai Hansen S0ren Brunak and Jens Nielsen Addresses Institut fur Molekulare Biowissenschaften Johann Wolfgang Goethe-Universitat Max-von-Laue-Str. 9 60438 Frankfurt am Main Germany. Center for Microbial Biotechnology BioCentrum-DTU Building 223 Technical University of Denmark DK-2800 Kgs. Lyngby Denmark. Informatics and Mathematical Modelling Building 321 Technical University of Denmark DK-2800 Kgs. Lyngby Denmark. Center for Biological Sequence Analysis BioCentrum-DTU Building 208 Technical University of Denmark DK-2800 Kgs. Lyngby Denmark. n These authors contributed equally to this work. Correspondence Jens Nielsen. Email jn@ Published 14 November 2006 Genome Biology 2006 7 R107 doi gb-2006-7- 11-r107 The electronic version of this article is the complete one and can be found online at http 2006 7 11 R107 Received 22 May 2006 Revised 4 September 2006 Accepted 14 November 2006 2006 Regenberg 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 Growth rate is central to the development of cells in all organisms. However little is known about the impact of changing growth rates. We used continuous cultures to control growth rate and studied the transcriptional program of the model eukaryote Saccharomyces cerevisiae with generation times varying between 2 and 35 hours. Results A total of 5930 transcripts were identified at the different growth rates studied. Consensus clustering of these revealed that half of all yeast genes

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