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A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics

Item Type:Article
Title:A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics
Creators Name:Cox, J. and Matic, I. and Hilger, M. and Nagaraj, N. and Selbach, M. and Olsen, J.V. and Mann, M.
Abstract:MaxQuant is a quantitative proteomics software package designed for analyzing large mass spectrometric data sets. It is specifically aimed at high-resolution mass spectrometry (MS) data. Currently, Thermo LTQ-Orbitrap and LTQ-FT-ICR instruments are supported and Mascot is used as a search engine. This protocol explains step by step how to use MaxQuant on stable isotope labeling by amino acids in cell culture (SILAC) data obtained with double or triple labeling. Complex experimental designs, such as time series and drug-response data, are supported. A standard desktop computer is sufficient to fulfill the computational requirements. The workflow has been stress tested with more than 1,000 liquid chromatography/mass spectrometry runs in a single project. In a typical SILAC proteome experiment, hundreds of thousands of peptides and thousands of proteins are automatically and reliably quantified. Additional information for identified proteins, such as Gene Ontology, domain composition and pathway membership, is provided in the output tables ready for further bioinformatics analysis. The software is freely available at the MaxQuant home page.
Keywords:Liquid Chromatography, Computational Biology, Isotope Labeling, Mass Spectrometry, Proteins, Proteomics, Software
Source:Nature Protocols
ISSN:1754-2189
Publisher:Nature Publishing Group (U.K.)
Volume:4
Number:5
Page Range:698-705
Date:2009
Official Publication:https://doi.org/10.1038/nprot.2009.36
PubMed:View item in PubMed

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