Building Protein-Protein Interaction Networks with Proteomics and Informatics Tools

被引:45
作者
Sardiu, Mihaela E. [1 ]
Washburn, Michael P. [1 ,2 ]
机构
[1] Stowers Inst Med Res, Kansas City, MO 64110 USA
[2] Univ Kansas, Med Ctr, Dept Pathol & Lab Med, Kansas City, KS 66160 USA
关键词
SACCHAROMYCES-CEREVISIAE; MASS-SPECTROMETRY; QUANTITATIVE PROTEOMICS; TOPOLOGICAL FEATURES; INTERACTION MAP; CELL-CYCLE; COMPLEXES; YEAST; EXPRESSION; DISEASE;
D O I
10.1074/jbc.R110.174052
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The systematic characterization of the whole interactomes of different model organisms has revealed that the eukaryotic proteome is highly interconnected. Therefore, biological research is progressively shifting away from classical approaches that focus only on a few proteins toward whole protein interaction networks to describe the relationship of proteins in biological processes. In this minireview, we survey the most common methods for the systematic identification of protein interactions and exemplify different strategies for the generation of protein interaction networks. In particular, we will focus on the recent development of protein interaction networks derived from quantitative proteomics data sets.
引用
收藏
页码:23645 / 23651
页数:7
相关论文
共 48 条
[41]   Cell fate decisions are specified by the dynamic ERK interactome [J].
von Kriegsheim, Alex ;
Baiocchi, Daniela ;
Birtwistle, Marc ;
Sumpton, David ;
Bienvenut, Willy ;
Morrice, Nicholas ;
Yamada, Kayo ;
Lamond, Angus ;
Kalna, Gabriella ;
Orton, Richard ;
Gilbert, David ;
Kolch, Walter .
NATURE CELL BIOLOGY, 2009, 11 (12) :1458-U172
[42]  
Wepf A, 2009, NAT METHODS, V6, P203, DOI [10.1038/NMETH.1302, 10.1038/nmeth.1302]
[43]   Discovering disease-genes by topological features in human protein-protein interaction network [J].
Xu, Jianzhen ;
Li, Yongjin .
BIOINFORMATICS, 2006, 22 (22) :2800-2805
[44]   Drug-target network [J].
Yildirim, Muhammed A. ;
Goh, Kwang-Il ;
Cusick, Michael E. ;
Barabasi, Albert-Laszlo ;
Vidal, Marc .
NATURE BIOTECHNOLOGY, 2007, 25 (10) :1119-1126
[45]   High-quality binary protein interaction map of the yeast interactome network [J].
Yu, Haiyuan ;
Braun, Pascal ;
Yildirim, Muhammed A. ;
Lemmens, Irma ;
Venkatesan, Kavitha ;
Sahalie, Julie ;
Hirozane-Kishikawa, Tomoko ;
Gebreab, Fana ;
Li, Na ;
Simonis, Nicolas ;
Hao, Tong ;
Rual, Jean-Francois ;
Dricot, Amelie ;
Vazquez, Alexei ;
Murray, Ryan R. ;
Simon, Christophe ;
Tardivo, Leah ;
Tam, Stanley ;
Svrzikapa, Nenad ;
Fan, Changyu ;
de Smet, Anne-Sophie ;
Motyl, Adriana ;
Hudson, Michael E. ;
Park, Juyong ;
Xin, Xiaofeng ;
Cusick, Michael E. ;
Moore, Troy ;
Boone, Charlie ;
Snyder, Michael ;
Roth, Frederick P. ;
Barabasi, Albert-Laszlo ;
Tavernier, Jan ;
Hill, David E. ;
Vidal, Marc .
SCIENCE, 2008, 322 (5898) :104-110
[46]   Genomic analysis of essentiality within protein networks [J].
Yu, HY ;
Greenbaum, D ;
Lu, HX ;
Zhu, XW ;
Gerstein, M .
TRENDS IN GENETICS, 2004, 20 (06) :227-231
[47]   From pull-down data to protein interaction networks and complexes with biological relevance [J].
Zhang, Bing ;
Park, Byung-Hoon ;
Karpinets, Tatiana ;
Samatova, Nagiza F. .
BIOINFORMATICS, 2008, 24 (07) :979-986
[48]   Statistical analysis of membrane proteome expression changes in Saccharomyces cerevisiae [J].
Zybailov, Boris ;
Mosley, Amber L. ;
Sardiu, Mihaela E. ;
Coleman, Michael K. ;
Florens, Laurence ;
Washburn, Michael P. .
JOURNAL OF PROTEOME RESEARCH, 2006, 5 (09) :2339-2347