Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Unequal evolutionary conservation of human protein interactions in interologous networks. | Open Access Research Unequal evolutionary conservation of human protein interactions in interologous networks Kevin R Brown and Igor Jurisica n Addresses Department of Medical Biophysics University of Toronto Toronto Canada M5G 1L7. Ontario Cancer Institute Toronto Medical Discovery Tower Toronto Canada M5G 1L7. Department of Computer Science University of Toronto Toronto Canada M5G 1L71. Correspondence Igor Jurisica. Email juris@ Published 29 May 2007 Genome Biology 2007 8 R95 doi 186 gb-2007-8-5-r95 The electronic version of this article is the complete one and can be found online at http 2007 8 5 R95 Received 16 November 2006 Revised 2 March 2007 Accepted 29 May 2007 2007 Brown and Jurisica 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 Protein-protein interaction PPI networks have been transferred between organisms using interologs allowing model organisms to supplement the interactomes of higher eukaryotes. However the conservation of various network components has not been fully explored. Unequal conservation of certain network components may limit the ability to fully expand the target interactomes using interologs. Results In this study we transfer high quality human interactions to lower eukaryotes and examine the evolutionary conservation of individual network components. When human proteins are mapped to yeast we find a strong positive correlation r P X 10-4 between evolutionary conservation and the number of interacting proteins which is also found when mapped to other model organisms. Examining overlapping PPI networks Gene Ontology GO terms and gene expression data we are able to demonstrate that protein complexes are conserved preferentially .
