Towards a proteome-scale map of the human protein–protein interaction network View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2005-09-28

AUTHORS

Jean-François Rual, Kavitha Venkatesan, Tong Hao, Tomoko Hirozane-Kishikawa, Amélie Dricot, Ning Li, Gabriel F. Berriz, Francis D. Gibbons, Matija Dreze, Nono Ayivi-Guedehoussou, Niels Klitgord, Christophe Simon, Mike Boxem, Stuart Milstein, Jennifer Rosenberg, Debra S. Goldberg, Lan V. Zhang, Sharyl L. Wong, Giovanni Franklin, Siming Li, Joanna S. Albala, Janghoo Lim, Carlene Fraughton, Estelle Llamosas, Sebiha Cevik, Camille Bex, Philippe Lamesch, Robert S. Sikorski, Jean Vandenhaute, Huda Y. Zoghbi, Alex Smolyar, Stephanie Bosak, Reynaldo Sequerra, Lynn Doucette-Stamm, Michael E. Cusick, David E. Hill, Frederick P. Roth, Marc Vidal

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. More... »

PAGES

1173-1178

Journal

TITLE

Nature

ISSUE

7062

VOLUME

437

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nature04209

DOI

http://dx.doi.org/10.1038/nature04209

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006733745

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16189514


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