Literature DB >> 33689365

Super Heavy TMTpro Labeling Reagent: An Alternative and Higher-Charge-State-Amenable Stable-Isotope-Labeled TMTpro Variant.

Alban Ordureau1, Qing Yu1, Ryan D Bomgarden2, John C Rogers2, J Wade Harper1, Steven P Gygi1, Joao A Paulo1.   

Abstract

Stable isotope labeling is a leading strategy for mass-spectrometry-based peptide quantification. Whereas TMTpro isobaric tagging can quantify up to 16 multiplexed samples in a single experiment, nonisobaric, yet chromatographically indistinguishable, variants of TMTpro reagents can be used in conjunction with the isobaric tag series for various peptide-targeting applications. Here we test the performance of two nonisobaric TMTpro variants, a stable-isotope-free TMTproZero tag and a nearly fully isotope-labeled "super-heavy" variant, shTMTpro, in a targeted assay for peptides of charge state 4+. We label each peptide with TMTproZero or Super Heavy TMTpro reagents and separately spike each peptide into a TMTpro16-labeled background (equal amount of peptide across all 16 channels). We observe that the expected 1:1 reporter ion ratio is distorted when a TMTproZero-labeled peptide is used; however, we note no such interference when shTMTpro substitutes the TMTproZero tag. Our data suggest that using the Super Heavy TMTpro reagent is an improvement over the TMTproZero reagent for the accurate quantification of high-charge-state peptides for trigger-based multiplexed assays.

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Year:  2021        PMID: 33689365      PMCID: PMC8210946          DOI: 10.1021/acs.jproteome.0c01056

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  12 in total

1.  Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS.

Authors:  Scott A Gerber; John Rush; Olaf Stemman; Marc W Kirschner; Steven P Gygi
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-27       Impact factor: 11.205

2.  Multiplex peptide stable isotope dimethyl labeling for quantitative proteomics.

Authors:  Paul J Boersema; Reinout Raijmakers; Simone Lemeer; Shabaz Mohammed; Albert J R Heck
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

3.  Skyline: an open source document editor for creating and analyzing targeted proteomics experiments.

Authors:  Brendan MacLean; Daniela M Tomazela; Nicholas Shulman; Matthew Chambers; Gregory L Finney; Barbara Frewen; Randall Kern; David L Tabb; Daniel C Liebler; Michael J MacCoss
Journal:  Bioinformatics       Date:  2010-02-09       Impact factor: 6.937

4.  A Strategy to Combine Sample Multiplexing with Targeted Proteomics Assays for High-Throughput Protein Signature Characterization.

Authors:  Brian K Erickson; Christopher M Rose; Craig R Braun; Alison R Erickson; Jeffrey Knott; Graeme C McAlister; Martin Wühr; Joao A Paulo; Robert A Everley; Steven P Gygi
Journal:  Mol Cell       Date:  2017-01-05       Impact factor: 17.970

5.  An Internal Standard for Assessing Phosphopeptide Recovery from Metal Ion/Oxide Enrichment Strategies.

Authors:  Joao A Paulo; Jose Navarrete-Perea; Alison R Erickson; Jeffrey Knott; Steven P Gygi
Journal:  J Am Soc Mass Spectrom       Date:  2018-04-18       Impact factor: 3.109

6.  Comparison of SILAC and mTRAQ quantification for phosphoproteomics on a quadrupole orbitrap mass spectrometer.

Authors:  Felix S Oppermann; Martin Klammer; Caroline Bobe; Jürgen Cox; Christoph Schaab; Andreas Tebbe; Henrik Daub
Journal:  J Proteome Res       Date:  2013-08-16       Impact factor: 4.466

7.  TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samples.

Authors:  Jiaming Li; Jonathan G Van Vranken; Laura Pontano Vaites; Devin K Schweppe; Edward L Huttlin; Chris Etienne; Premchendar Nandhikonda; Rosa Viner; Aaron M Robitaille; Andrew H Thompson; Karsten Kuhn; Ian Pike; Ryan D Bomgarden; John C Rogers; Steven P Gygi; Joao A Paulo
Journal:  Nat Methods       Date:  2020-03-16       Impact factor: 28.547

8.  Defining the transcriptome and proteome in three functionally different human cell lines.

Authors:  Emma Lundberg; Linn Fagerberg; Daniel Klevebring; Ivan Matic; Tamar Geiger; Juergen Cox; Cajsa Algenäs; Joakim Lundeberg; Matthias Mann; Mathias Uhlen
Journal:  Mol Syst Biol       Date:  2010-12-21       Impact factor: 11.429

9.  Quantitative proteomics reveal a feedforward mechanism for mitochondrial PARKIN translocation and ubiquitin chain synthesis.

Authors:  Alban Ordureau; Shireen A Sarraf; David M Duda; Jin-Mi Heo; Mark P Jedrychowski; Vladislav O Sviderskiy; Jennifer L Olszewski; James T Koerber; Tiao Xie; Sean A Beausoleil; James A Wells; Steven P Gygi; Brenda A Schulman; J Wade Harper
Journal:  Mol Cell       Date:  2014-10-02       Impact factor: 17.970

10.  Sample multiplexing for targeted pathway proteomics in aging mice.

Authors:  Qing Yu; Haopeng Xiao; Mark P Jedrychowski; Devin K Schweppe; Jose Navarrete-Perea; Jeffrey Knott; John Rogers; Edward T Chouchani; Steven P Gygi
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-24       Impact factor: 11.205

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