Large-scale mapping of human protein–protein interactions by mass spectrometry
By R. Ewing, Peter Chu, F. Elisma, Hongyan Li, Paul Taylor, S. Climie, Linda D B McBroom-Cerajewski, Mark D. Robinson, Liam O'Connor, Michael Li and 26 more. Molecular Systems Biology, 2007
1,043 citations recorded by the source corpus.
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.
Subfields: Cell Biology, Computational Theory and Mathematics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/5afb5241335e23a101acda132a36de5c23ac5a46
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In Computational Theory and Mathematics
- Natali Gulbahce
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In Molecular Biology
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- Natali Gulbahce
- Eytan Ruppin
- Oded Magger
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- Roberto Mosca
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Citations in the corpus
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