Literature DB >> 33950506

Quantitative Proteome Data Analysis of Tandem Mass Tags Labeled Samples.

Oliver Pagel1, Laxmikanth Kollipara1, Albert Sickmann2,3,4.   

Abstract

In mass spectrometry-based proteomics, relative quantitative approaches enable differential protein abundance analysis. Isobaric labeling strategies, such as tandem mass tags (TMT), provide simultaneous quantification of several samples (e.g., up to 16 using 16plex TMTpro) owing to its multiplexing capability. This technology improves sample throughput and thereby minimizes both measurement time and overall experimental variation. However, TMT-based MS data processing and statistical analysis are probably the crucial parts of this pipeline to obtain reliable, plausible, and significantly quantified results. Here, we provide a step-by-step guide to the analysis and evaluation of TMT quantitative proteomics data.

Keywords:  Data analysis; Relative quantitative proteomics; TMT

Year:  2021        PMID: 33950506     DOI: 10.1007/978-1-0716-1024-4_28

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  9 in total

1.  Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS.

Authors:  Andrew Thompson; Jürgen Schäfer; Karsten Kuhn; Stefan Kienle; Josef Schwarz; Günter Schmidt; Thomas Neumann; R Johnstone; A Karim A Mohammed; Christian Hamon
Journal:  Anal Chem       Date:  2003-04-15       Impact factor: 6.986

Review 2.  Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present.

Authors:  Marcus Bantscheff; Simone Lemeer; Mikhail M Savitski; Bernhard Kuster
Journal:  Anal Bioanal Chem       Date:  2012-07-08       Impact factor: 4.142

3.  Semi-supervised learning for peptide identification from shotgun proteomics datasets.

Authors:  Lukas Käll; Jesse D Canterbury; Jason Weston; William Stafford Noble; Michael J MacCoss
Journal:  Nat Methods       Date:  2007-10-21       Impact factor: 28.547

Review 4.  Quantitative mass spectrometry in proteomics: a critical review.

Authors:  Marcus Bantscheff; Markus Schirle; Gavain Sweetman; Jens Rick; Bernhard Kuster
Journal:  Anal Bioanal Chem       Date:  2007-08-01       Impact factor: 4.142

5.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Nat Biotechnol       Date:  2008-11-30       Impact factor: 54.908

6.  Drugging the catalytically inactive state of RET kinase in RET-rearranged tumors.

Authors:  Dennis Plenker; Maximilian Riedel; Johannes Brägelmann; Marcel A Dammert; Rakhee Chauhan; Phillip P Knowles; Carina Lorenz; Marina Keul; Mike Bührmann; Oliver Pagel; Verena Tischler; Andreas H Scheel; Daniel Schütte; Yanrui Song; Justina Stark; Florian Mrugalla; Yannic Alber; André Richters; Julian Engel; Frauke Leenders; Johannes M Heuckmann; Jürgen Wolf; Joachim Diebold; Georg Pall; Martin Peifer; Maarten Aerts; Kris Gevaert; René P Zahedi; Reinhard Buettner; Kevan M Shokat; Neil Q McDonald; Stefan M Kast; Oliver Gautschi; Roman K Thomas; Martin L Sos
Journal:  Sci Transl Med       Date:  2017-06-14       Impact factor: 17.956

Review 7.  Orchestrating high-throughput genomic analysis with Bioconductor.

Authors:  Wolfgang Huber; Vincent J Carey; Robert Gentleman; Simon Anders; Marc Carlson; Benilton S Carvalho; Hector Corrada Bravo; Sean Davis; Laurent Gatto; Thomas Girke; Raphael Gottardo; Florian Hahne; Kasper D Hansen; Rafael A Irizarry; Michael Lawrence; Michael I Love; James MacDonald; Valerie Obenchain; Andrzej K Oleś; Hervé Pagès; Alejandro Reyes; Paul Shannon; Gordon K Smyth; Dan Tenenbaum; Levi Waldron; Martin Morgan
Journal:  Nat Methods       Date:  2015-02       Impact factor: 28.547

8.  The Perseus computational platform for comprehensive analysis of (prote)omics data.

Authors:  Stefka Tyanova; Tikira Temu; Pavel Sinitcyn; Arthur Carlson; Marco Y Hein; Tamar Geiger; Matthias Mann; Jürgen Cox
Journal:  Nat Methods       Date:  2016-06-27       Impact factor: 28.547

9.  PEAKS DB: de novo sequencing assisted database search for sensitive and accurate peptide identification.

Authors:  Jing Zhang; Lei Xin; Baozhen Shan; Weiwu Chen; Mingjie Xie; Denis Yuen; Weiming Zhang; Zefeng Zhang; Gilles A Lajoie; Bin Ma
Journal:  Mol Cell Proteomics       Date:  2011-12-20       Impact factor: 5.911

  9 in total

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