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The CRAPome: a contaminant repository for affinity purification–mass spectrometry data

Authors :
Ruedi Aebersold
Wade H. Dunham
Tony Pawson
Nicole St-Denis
Simon Hauri
Annie Bouchard
Daniel Durocher
Keiryn L. Bennett
Zhen Yuan Lin
Mihaela E. Sardiu
Anne-Claude Gingras
Rob M. Ewing
Damian Fermin
Vincentius A. Halim
Amber L. Couzens
Tuo Li
Shabaz Mohammed
Michael P. Washburn
Hyungwon Choi
Beatriz Gonzalez Badillo
Brian Raught
Nina C. Hubner
Marilyn Goudreault
Jacques Colinge
Zachary Wright
Dattatreya Mellacheruvu
Alexey I. Nesvizhskii
Ileana M. Cristea
Denis Faubert
Matthias Gstaiger
Abdallah Al-Hakim
Yana Miteva
Teck Yew Low
Giulio Superti-Furga
Richard D. Bagshaw
Benoit Coulombe
Jean-Philippe Lambert
Albert J. R. Heck
Source :
Nature methods, Nature Methods, 10, 730. Nature Publishing Group, Nature Methods, 10, 730, Nature Methods, 10, 8, pp. 730
Publication Year :
2013

Abstract

Affinity purification coupled with mass spectrometry (AP-MS) is a widely used approach for the identification of protein-protein interactions. However, for any given protein of interest, determining which of the identified polypeptides represent bona fide interactors versus those that are background contaminants (for example, proteins that interact with the solid-phase support, affinity reagent or epitope tag) is a challenging task. The standard approach is to identify nonspecific interactions using one or more negative-control purifications, but many small-scale AP-MS studies do not capture a complete, accurate background protein set when available controls are limited. Fortunately, negative controls are largely bait independent. Hence, aggregating negative controls from multiple AP-MS studies can increase coverage and improve the characterization of background associated with a given experimental protocol. Here we present the contaminant repository for affinity purification (the CRAPome) and describe its use for scoring protein-protein interactions. The repository (currently available for Homo sapiens and Saccharomyces cerevisiae) and computational tools are freely accessible at http://www.crapome.org/. © 2013 Nature America, Inc. All rights reserved.

Details

Language :
English
ISSN :
15487091
Volume :
10
Database :
OpenAIRE
Journal :
Nature Methods
Accession number :
edsair.doi.dedup.....b66b73c03b33b9532bb8b4fdd3f73aa9