Literature DB >> 19373234

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

Jürgen Cox1, Ivan Matic, Maximiliane Hilger, Nagarjuna Nagaraj, Matthias Selbach, Jesper V Olsen, Matthias Mann.   

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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Year:  2009        PMID: 19373234     DOI: 10.1038/nprot.2009.36

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  29 in total

1.  The International Protein Index: an integrated database for proteomics experiments.

Authors:  Paul J Kersey; Jorge Duarte; Allyson Williams; Youla Karavidopoulou; Ewan Birney; Rolf Apweiler
Journal:  Proteomics       Date:  2004-07       Impact factor: 3.984

Review 2.  Is proteomics the new genomics?

Authors:  Jürgen Cox; Matthias Mann
Journal:  Cell       Date:  2007-08-10       Impact factor: 41.582

3.  Widespread changes in protein synthesis induced by microRNAs.

Authors:  Matthias Selbach; Björn Schwanhäusser; Nadine Thierfelder; Zhuo Fang; Raya Khanin; Nikolaus Rajewsky
Journal:  Nature       Date:  2008-07-30       Impact factor: 49.962

4.  Peptide separation with immobilized pI strips is an attractive alternative to in-gel protein digestion for proteome analysis.

Authors:  Nina C Hubner; Shubin Ren; Matthias Mann
Journal:  Proteomics       Date:  2008-12       Impact factor: 3.984

5.  Combined use of RNAi and quantitative proteomics to study gene function in Drosophila.

Authors:  Tiziana Bonaldi; Tobias Straub; Jürgen Cox; Chanchal Kumar; Peter B Becker; Matthias Mann
Journal:  Mol Cell       Date:  2008-09-05       Impact factor: 17.970

6.  How much peptide sequence information is contained in ion trap tandem mass spectra?

Authors:  Jürgen Cox; Nina C Hubner; Matthias Mann
Journal:  J Am Soc Mass Spectrom       Date:  2008-08-07       Impact factor: 3.109

7.  Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics.

Authors:  Blagoy Blagoev; Shao-En Ong; Irina Kratchmarova; Matthias Mann
Journal:  Nat Biotechnol       Date:  2004-08-15       Impact factor: 54.908

8.  Solid tumor proteome and phosphoproteome analysis by high resolution mass spectrometry.

Authors:  Sara Zanivan; Florian Gnad; Sara A Wickström; Tami Geiger; Boris Macek; Jürgen Cox; Reinhard Fässler; Matthias Mann
Journal:  J Proteome Res       Date:  2008-12       Impact factor: 4.466

9.  The universal protein resource (UniProt).

Authors: 
Journal:  Nucleic Acids Res       Date:  2007-11-27       Impact factor: 16.971

10.  The Pfam protein families database.

Authors:  Robert D Finn; John Tate; Jaina Mistry; Penny C Coggill; Stephen John Sammut; Hans-Rudolf Hotz; Goran Ceric; Kristoffer Forslund; Sean R Eddy; Erik L L Sonnhammer; Alex Bateman
Journal:  Nucleic Acids Res       Date:  2007-11-26       Impact factor: 16.971

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  340 in total

1.  Proteomic analysis of mitotic RNA polymerase II reveals novel interactors and association with proteins dysfunctional in disease.

Authors:  André Möller; Sheila Q Xie; Fabian Hosp; Benjamin Lang; Hemali P Phatnani; Sonya James; Francisco Ramirez; Gayle B Collin; Jürgen K Naggert; M Madan Babu; Arno L Greenleaf; Matthias Selbach; Ana Pombo
Journal:  Mol Cell Proteomics       Date:  2011-12-22       Impact factor: 5.911

2.  Toward objective evaluation of proteomic algorithms.

Authors:  John R Yates; Sung Kyu Robin Park; Claire M Delahunty; Tao Xu; Jeffrey N Savas; Daniel Cociorva; Paulo Costa Carvalho
Journal:  Nat Methods       Date:  2012-04-27       Impact factor: 28.547

3.  Analysis of protein mixtures from whole-cell extracts by single-run nanoLC-MS/MS using ultralong gradients.

Authors:  Thomas Köcher; Peter Pichler; Remco Swart; Karl Mechtler
Journal:  Nat Protoc       Date:  2012-04-12       Impact factor: 13.491

4.  Modulation of neuronal pentraxin 1 expression in rat pancreatic β-cells submitted to chronic glucotoxic stress.

Authors:  Domitille Schvartz; Yohann Couté; Yannick Brunner; Claes B Wollheim; Jean-Charles Sanchez
Journal:  Mol Cell Proteomics       Date:  2012-03-16       Impact factor: 5.911

Review 5.  Quantitative phosphoproteomics: New technologies and applications in the DNA damage response.

Authors:  Huilin Zhou; Claudio P Albuquerque; Jason Liang; Raymond T Suhandynata; Stephanie Weng
Journal:  Cell Cycle       Date:  2010-09-26       Impact factor: 4.534

6.  Dynamics of the skeletal muscle secretome during myoblast differentiation.

Authors:  Jeanette Henningsen; Kristoffer T G Rigbolt; Blagoy Blagoev; Bente Klarlund Pedersen; Irina Kratchmarova
Journal:  Mol Cell Proteomics       Date:  2010-07-14       Impact factor: 5.911

7.  Quantitative proteomics reveals a "poised quiescence" cellular state after triggering the DNA replication origin activation checkpoint.

Authors:  Claire Mulvey; Slavica Tudzarova; Mark Crawford; Gareth H Williams; Kai Stoeber; Jasminka Godovac-Zimmermann
Journal:  J Proteome Res       Date:  2010-10-01       Impact factor: 4.466

8.  High-stringency tandem affinity purification of proteins conjugated to ubiquitin-like moieties.

Authors:  Filip Golebiowski; Michael H Tatham; Akihiro Nakamura; Ronald T Hay
Journal:  Nat Protoc       Date:  2010-04-15       Impact factor: 13.491

9.  The SILAC fly allows for accurate protein quantification in vivo.

Authors:  Matthias D Sury; Jia-Xuan Chen; Matthias Selbach
Journal:  Mol Cell Proteomics       Date:  2010-06-05       Impact factor: 5.911

10.  Dynamic changes in ribosome-associated proteome and phosphoproteome during deoxynivalenol-induced translation inhibition and ribotoxic stress.

Authors:  Xiao Pan; Douglas A Whitten; Curtis G Wilkerson; James J Pestka
Journal:  Toxicol Sci       Date:  2013-11-27       Impact factor: 4.849

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