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

Cox, J.; Matić, I.; Hilger, M.; Nagaraj, N.; Selbach, M.; Olsen, J. V.; Mann, M.

doi:10.1038/nprot.2009.36

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

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Matić, I.
Matic – ADP-ribosylation in DNA Repair and Ageing, Research Groups, Max Planck Institute for Biology of Ageing, Max Planck Society;

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https://www.ncbi.nlm.nih.gov/pubmed/19373234
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Citation

Cox, J., Matić, I., Hilger, M., Nagaraj, N., Selbach, M., Olsen, J. V., et al. (2009). A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics. Nat Protoc, 4(5), 698-705. doi:10.1038/nprot.2009.36.

Cite as: https://hdl.handle.net/21.11116/0000-000B-A37D-1

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.