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Open AccessJournal ArticleDOI

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

TLDR
In‐depth mining of the data set shows that it represents a valuable source of novel protein–protein interactions with relevance to human diseases, and via the preliminary analysis, many novel protein interactions and pathway associations are reported.
Abstract
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.

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Network Medicine: A Network-Based Approach to Human Disease

TL;DR: Advances in this direction are essential for identifying new disease genes, for uncovering the biological significance of disease-associated mutations identified by genome-wide association studies and full-genome sequencing, and for identifying drug targets and biomarkers for complex diseases.
Journal ArticleDOI

The ClusPro web server for protein-protein docking.

TL;DR: This protocol describes the use of the various options, the construction of auxiliary restraints files, the selection of the energy parameters, and the analysis of the results of the ClusPro server.
Journal ArticleDOI

Defining the Human Deubiquitinating Enzyme Interaction Landscape

TL;DR: A global proteomic analysis of Dubs and their associated protein complexes provided the first glimpse into the Dub interaction landscape, places previously unstudied Dubs within putative biological pathways, and identifies previously unknown interactions and protein complexes involved in this increasingly important arm of the ubiquitin-proteasome pathway.
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The CRAPome: a contaminant repository for affinity purification–mass spectrometry data

TL;DR: 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.
References
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Journal ArticleDOI

Gene Ontology: tool for the unification of biology

TL;DR: The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing.
Journal ArticleDOI

A novel genetic system to detect protein-protein interactions.

TL;DR: A novel genetic system to study protein-protein interactions between two proteins by taking advantage of the properties of the GAL4 protein of the yeast Saccharomyces cerevisiae, which may be applicable as a general method to identify proteins that interact with a known protein by the use of a simple galactose selection.
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