A human protein-protein interaction network: a resource for annotating the proteome.

@article{citeulike:341661, abstract = {Protein-protein interaction maps provide a valuable framework for a better understanding of the functional organization of the proteome. To detect interacting pairs of human proteins systematically, a protein matrix of 4456 baits and 5632 preys was screened by automated yeast two-hybrid (Y2H) interaction mating. We identified 3186 mostly novel interactions among 1705 proteins, resulting in a large, highly connected network. Independent pull-down and coimmunoprecipitation assays validated the overall quality of the Y2H interactions. Using topological and GO criteria, a scoring system was developed to define 911 high-confidence interactions among 401 proteins. Furthermore, the network was searched for interactions linking uncharacterized gene products and human disease proteins to regulatory cellular pathways. Two novel Axin-1 interactions were validated experimentally, characterizing ANP32A and CRMP1 as modulators of Wnt signaling. Systematic human protein interaction screens can lead to a more comprehensive understanding of protein function and cellular processes.}, address = {Max Delbrueck Center for Molecular Medicine, 13092 Berlin-Buch, Germany.}, author = {Stelzl, U. and Worm, U. and Lalowski, M. and Haenig, C. and Brembeck, F. H. and Goehler, H. and Stroedicke, M. and Zenkner, M. and Schoenherr, A. and Koeppen, S. and Timm, J. and Mintzlaff, S. and Abraham, C. and Bock, N. and Kietzmann, S. and Goedde, A. and Toks\"{o}z, E. and Droege, A. and Krobitsch, S. and Korn, B. and Birchmeier, W. and Lehrach, H. and Wanker, E. E. }, citeulike-article-id = {341661}, doi = {http://dx.doi.org/10.1016/j.cell.2005.08.029}, issn = {0092-8674}, journal = {Cell}, keywords = {journalcell, pp32, wulianfeng}, month = {September}, number = {6}, pages = {957--968}, posted-at = {2007-08-26 11:11:47}, priority = {2}, title = {A human protein-protein interaction network: a resource for annotating the proteome.}, url = {http://dx.doi.org/10.1016/j.cell.2005.08.029}, volume = {122}, year = {2005} }

TY - JOUR ID - citeulike:341661 L3 - citeulike-article-id:341661 TI - A human protein-protein interaction network: a resource for annotating the proteome. JF - Cell VL - 122 IS - 6 SP - 957 EP - 968 AD - Max Delbrueck Center for Molecular Medicine, 13092 Berlin-Buch, Germany. SN - 0092-8674 N2 - Protein-protein interaction maps provide a valuable framework for a better understanding of the functional organization of the proteome. To detect interacting pairs of human proteins systematically, a protein matrix of 4456 baits and 5632 preys was screened by automated yeast two-hybrid (Y2H) interaction mating. We identified 3186 mostly novel interactions among 1705 proteins, resulting in a large, highly connected network. Independent pull-down and coimmunoprecipitation assays validated the overall quality of the Y2H interactions. Using topological and GO criteria, a scoring system was developed to define 911 high-confidence interactions among 401 proteins. Furthermore, the network was searched for interactions linking uncharacterized gene products and human disease proteins to regulatory cellular pathways. Two novel Axin-1 interactions were validated experimentally, characterizing ANP32A and CRMP1 as modulators of Wnt signaling. Systematic human protein interaction screens can lead to a more comprehensive understanding of protein function and cellular processes. KW - journalcell KW - pp32 KW - wulianfeng AU - Stelzl, U AU - Worm, U AU - Lalowski, M AU - Haenig, C AU - Brembeck, FH AU - Goehler, H AU - Stroedicke, M AU - Zenkner, M AU - Schoenherr, A AU - Koeppen, S AU - Timm, J AU - Mintzlaff, S AU - Abraham, C AU - Bock, N AU - Kietzmann, S AU - Goedde, A AU - Toksöz, E AU - Droege, A AU - Krobitsch, S AU - Korn, B AU - Birchmeier, W AU - Lehrach, H AU - Wanker, EE PY - 2005/09/23/ UR - http://dx.doi.org/10.1016/j.cell.2005.08.029 ER -