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Open AccessJournal ArticleDOI

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

TLDR
The contaminant repository for affinity purification (the CRAPome) is presented and its use for scoring protein-protein interactions is described and aggregating negative controls from multiple AP-MS studies can increase coverage and improve the characterization of background associated with a given experimental protocol.
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/.

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Proteomic comparison defines novel markers to characterize heterogeneous populations of extracellular vesicle subtypes.

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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

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A Human Interactome in Three Quantitative Dimensions Organized by Stoichiometries and Abundances

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A global genetic interaction network maps a wiring diagram of cellular function

TL;DR: A global genetic interaction network highlights the functional organization of a cell and provides a resource for predicting gene and pathway function and how coherent sets of negative or positive genetic interactions connect protein complex and pathways to map a functional wiring diagram of the cell.
References
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Journal ArticleDOI

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