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通过功能联系的全基因组分析发现未表征的细胞系统。

Discovery of uncharacterized cellular systems by genome-wide analysis of functional linkages.

作者信息

Date Shailesh V, Marcotte Edward M

机构信息

Center for Computational Biology and Bioinformatics, Institute for Cellular and Molecular Biology, 1 University Station A4800, Austin, Texas 78712-1064, USA.

出版信息

Nat Biotechnol. 2003 Sep;21(9):1055-62. doi: 10.1038/nbt861. Epub 2003 Aug 17.

Abstract

We introduce a general computational method, applicable on a genome-wide scale, for the systematic discovery of uncharacterized cellular systems. Quantitative analysis of the coinheritance of pairs of genes among different organisms, calculated using phylogenetic profiles, allows the prediction of thousands of functional linkages between the corresponding proteins. A comparison of these functional linkages to known pathways reveals that calculated linkages are comparable in accuracy to genome-wide yeast two-hybrid screens or mass spectrometry interaction assays. In aggregate, these linkages describe the structure of large-scale networks, with the resulting yeast network composed of 3,875 linkages among 804 proteins, and the resulting pathogenic Escherichia coli network composed of 2,043 linkages among 828 proteins. The search of such networks for groups of uncharacterized, linked proteins led to the identification of 27 novel cellular systems from one nonpathogenic and three pathogenic bacterial genomes.

摘要

我们介绍了一种适用于全基因组规模的通用计算方法,用于系统发现未表征的细胞系统。利用系统发育谱计算不同生物体中基因对的共遗传定量分析,可预测相应蛋白质之间数千种功能联系。将这些功能联系与已知途径进行比较发现,计算出的联系在准确性上与全基因组酵母双杂交筛选或质谱相互作用分析相当。总体而言,这些联系描述了大规模网络的结构,所得酵母网络由804种蛋白质之间的3875个联系组成,所得致病性大肠杆菌网络由828种蛋白质之间的2043个联系组成。在这些网络中搜索未表征的、有联系的蛋白质组,从一个非致病性和三个致病性细菌基因组中鉴定出27个新的细胞系统。

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