%0 Journal Article %1 Rual2005Towards %A Rual, Jean-Francois %A Venkatesan, Kavitha %A Hao, Tong %A Hirozane-Kishikawa, Tomoko %A Dricot, Amelie %A Li, Ning %A Berriz, Gabriel F. %A Gibbons, Francis D. %A Dreze, Matija %A Ayivi-Guedehoussou, Nono %A Klitgord, Niels %A Simon, Christophe %A Boxem, Mike %A Milstein, Stuart %A Rosenberg, Jennifer %A Goldberg, Debra S. %A Zhang, Lan V. %A Wong, Sharyl L. %A Franklin, Giovanni %A Li, Siming %A Albala, Joanna S. %A Lim, Janghoo %A Fraughton, Carlene %A Llamosas, Estelle %A Cevik, Sebiha %A Bex, Camille %A Lamesch, Philippe %A Sikorski, Robert S. %A Vandenhaute, Jean %A Zoghbi, Huda Y. %A Smolyar, Alex %A Bosak, Stephanie %A Sequerra, Reynaldo %A Doucette-Stamm, Lynn %A Cusick, Michael E. %A Hill, David E. %A Roth, Frederick P. %A Vidal, Marc %D 2005 %I Nature Publishing Group %J Nature %K human interactome protein-protein-interactions %N 7062 %P 1173--1178 %R 10.1038/nature04209 %T Towards a proteome-scale map of the human protein-protein interaction network %U http://dx.doi.org/10.1038/nature04209 %V 437 %X Systematic mapping of protein–protein interactions, or 'interactome' mapping, was initiated in model organisms, starting with defined biological processes1, 2 and then expanding to the scale of the proteome3, 4, 5, 6, 7. Although far from complete, such maps have revealed global topological and dynamic features of interactome networks that relate to known biological properties8, 9, suggesting that a human interactome map will provide insight into development and disease mechanisms at a systems level. Here we describe an initial version of a proteome-scale map of human binary protein–protein interactions. Using a stringent, high-throughput yeast two-hybrid system, we tested pairwise interactions among the products of 8,100 currently available Gateway-cloned open reading frames and detected 2,800 interactions. This data set, called CCSB-HI1, has a verification rate of 78\% as revealed by an independent co-affinity purification assay, and correlates significantly with other biological attributes. The CCSB-HI1 data set increases by 70\% the set of available binary interactions within the tested space and reveals more than 300 new connections to over 100 disease-associated proteins. This work represents an important step towards a systematic and comprehensive human interactome project.

@article{Rual2005Towards, abstract = {Systematic mapping of protein–protein interactions, or 'interactome' mapping, was initiated in model organisms, starting with defined biological processes1, 2 and then expanding to the scale of the proteome3, 4, 5, 6, 7. Although far from complete, such maps have revealed global topological and dynamic features of interactome networks that relate to known biological properties8, 9, suggesting that a human interactome map will provide insight into development and disease mechanisms at a systems level. Here we describe an initial version of a proteome-scale map of human binary protein–protein interactions. Using a stringent, high-throughput yeast two-hybrid system, we tested pairwise interactions among the products of 8,100 currently available Gateway-cloned open reading frames and detected 2,800 interactions. This data set, called {CCSB}-{HI1}, has a verification rate of 78\% as revealed by an independent co-affinity purification assay, and correlates significantly with other biological attributes. The {CCSB}-{HI1} data set increases by 70\% the set of available binary interactions within the tested space and reveals more than 300 new connections to over 100 disease-associated proteins. This work represents an important step towards a systematic and comprehensive human interactome project.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Rual, Jean-Francois and Venkatesan, Kavitha and Hao, Tong and Hirozane-Kishikawa, Tomoko and Dricot, Amelie and Li, Ning and Berriz, Gabriel F. and Gibbons, Francis D. and Dreze, Matija and Ayivi-Guedehoussou, Nono and Klitgord, Niels and Simon, Christophe and Boxem, Mike and Milstein, Stuart and Rosenberg, Jennifer and Goldberg, Debra S. and Zhang, Lan V. and Wong, Sharyl L. and Franklin, Giovanni and Li, Siming and Albala, Joanna S. and Lim, Janghoo and Fraughton, Carlene and Llamosas, Estelle and Cevik, Sebiha and Bex, Camille and Lamesch, Philippe and Sikorski, Robert S. and Vandenhaute, Jean and Zoghbi, Huda Y. and Smolyar, Alex and Bosak, Stephanie and Sequerra, Reynaldo and Doucette-Stamm, Lynn and Cusick, Michael E. and Hill, David E. and Roth, Frederick P. and Vidal, Marc}, biburl = {https://www.bibsonomy.org/bibtex/2def3b9b246b6323d57dc384068c911db/karthikraman}, citeulike-article-id = {334264}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nature04209}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nature04209}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/16189514}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=16189514}, day = 20, doi = {10.1038/nature04209}, interhash = {b1491528d56381002e82c19052945cde}, intrahash = {def3b9b246b6323d57dc384068c911db}, issn = {0028-0836}, journal = {Nature}, keywords = {human interactome protein-protein-interactions}, month = oct, number = 7062, pages = {1173--1178}, pmid = {16189514}, posted-at = {2014-12-30 06:27:55}, priority = {2}, publisher = {Nature Publishing Group}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Towards a proteome-scale map of the human protein-protein interaction network}, url = {http://dx.doi.org/10.1038/nature04209}, volume = 437, year = 2005 }