Identifying specific protein interaction partners using quantitative mass spectrometry and bead proteomes

Laura Trinkle‐Mulcahy(University of Ottawa), Séverine Boulon(Cell and Gene Therapy Catapult), Yun Wah Lam(City University of Hong Kong), Roby Urcia(University of Glasgow), François‐Michel Boisvert(Cell and Gene Therapy Catapult), Franck Vandermoere(University of Dundee), Nick A. Morrice(University of Dundee), Sam Swift(Cell and Gene Therapy Catapult), Ulrich Rothbauer(Urologische Klinik München), Heinrich Leonhardt(Urologische Klinik München), Angus I. Lamond(Cell and Gene Therapy Catapult)
The Journal of Cell Biology
October 20, 2008
Cited by 446Open Access
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Abstract

The identification of interaction partners in protein complexes is a major goal in cell biology. Here we present a reliable affinity purification strategy to identify specific interactors that combines quantitative SILAC-based mass spectrometry with characterization of common contaminants binding to affinity matrices (bead proteomes). This strategy can be applied to affinity purification of either tagged fusion protein complexes or endogenous protein complexes, illustrated here using the well-characterized SMN complex as a model. GFP is used as the tag of choice because it shows minimal nonspecific binding to mammalian cell proteins, can be quantitatively depleted from cell extracts, and allows the integration of biochemical protein interaction data with in vivo measurements using fluorescence microscopy. Proteins binding nonspecifically to the most commonly used affinity matrices were determined using quantitative mass spectrometry, revealing important differences that affect experimental design. These data provide a specificity filter to distinguish specific protein binding partners in both quantitative and nonquantitative pull-down and immunoprecipitation experiments.


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