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  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., 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.

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Cox, J., Author
Matić, I.1, Author           
Hilger, M., Author
Nagaraj, N., Author
Selbach, M., Author
Olsen, J. V., Author
Mann, M., Author
Affiliations:
1Matic – ADP-ribosylation in DNA Repair and Ageing, Research Groups, Max Planck Institute for Biology of Ageing, Max Planck Society, ou_1942299              

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Free keywords: Chromatography, Liquid Computational Biology Isotope Labeling Mass Spectrometry Proteins/*chemistry Proteomics/*methods *Software
 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.

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 Dates: 20092009
 Publication Status: Issued
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 Identifiers: Other: 19373234
DOI: 10.1038/nprot.2009.36
ISSN: 1750-2799 (Electronic)1750-2799 (Linking)
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Title: Nat Protoc
Source Genre: Journal
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Pages: - Volume / Issue: 4 (5) Sequence Number: - Start / End Page: 698 - 705 Identifier: -