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Large-scale mapping of human protein–protein interactions by mass spectrometry

Mapping protein–protein interactions is an invaluable tool for understanding protein function. Here, we report the first large-scale study of protein–protein interactions in human cells using a mass spectrometry-based approach. The study maps protein interactions for 338 bait proteins that were sele...

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Detalles Bibliográficos
Autores principales: Ewing, Rob M, Chu, Peter, Elisma, Fred, Li, Hongyan, Taylor, Paul, Climie, Shane, McBroom-Cerajewski, Linda, Robinson, Mark D, O'Connor, Liam, Li, Michael, Taylor, Rod, Dharsee, Moyez, Ho, Yuen, Heilbut, Adrian, Moore, Lynda, Zhang, Shudong, Ornatsky, Olga, Bukhman, Yury V, Ethier, Martin, Sheng, Yinglun, Vasilescu, Julian, Abu-Farha, Mohamed, Lambert, Jean-Philippe, Duewel, Henry S, Stewart, Ian I, Kuehl, Bonnie, Hogue, Kelly, Colwill, Karen, Gladwish, Katharine, Muskat, Brenda, Kinach, Robert, Adams, Sally-Lin, Moran, Michael F, Morin, Gregg B, Topaloglou, Thodoros, Figeys, Daniel
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1847948/
https://www.ncbi.nlm.nih.gov/pubmed/17353931
http://dx.doi.org/10.1038/msb4100134
Descripción
Sumario:Mapping protein–protein interactions is an invaluable tool for understanding protein function. Here, we report the first large-scale study of protein–protein interactions in human cells using a mass spectrometry-based approach. The study maps protein interactions for 338 bait proteins that were selected based on known or suspected disease and functional associations. Large-scale immunoprecipitation of Flag-tagged versions of these proteins followed by LC-ESI-MS/MS analysis resulted in the identification of 24 540 potential protein interactions. False positives and redundant hits were filtered out using empirical criteria and a calculated interaction confidence score, producing a data set of 6463 interactions between 2235 distinct proteins. This data set was further cross-validated using previously published and predicted human protein interactions. In-depth mining of the data set shows that it represents a valuable source of novel protein–protein interactions with relevance to human diseases. In addition, via our preliminary analysis, we report many novel protein interactions and pathway associations.