Literature DB >> 27345528

Evaluation and Improvement of Quantification Accuracy in Isobaric Mass Tag-Based Protein Quantification Experiments.

Erik Ahrné1, Timo Glatter1, Cristina Viganò1, Conrad von Schubert1, Erich A Nigg1, Alexander Schmidt1.   

Abstract

The multiplexing capabilities of isobaric mass tag-based protein quantification, such as Tandem Mass Tags or Isobaric Tag for Relative and Absolute Quantitation have dramatically increased the scope of mass spectrometry-based proteomics studies. Not only does the technology allow for the simultaneous quantification of multiple samples in a single MS injection, but its seamless compatibility with extensive sample prefractionation methods allows for comprehensive studies of complex proteomes. However, reporter ion-based quantification has often been criticized for limited quantification accuracy due to interference from coeluting peptides and peptide fragments. In this study, we investigate the extent of this problem and propose an effective and easy-to-implement remedy that relies on spiking a 6-protein calibration mixture to the samples. We evaluated our ratio adjustment approach using two large scale TMT 10-plex data sets derived from a human cancer and noncancer cell line as well as E. coli cells grown at two different conditions. Furthermore, we analyzed a complex 2-proteome artificial sample mixture and investigated the precision of TMT and precursor ion intensity-based label free quantification. Studying the protein set identified by both methods, we found that differentially abundant proteins were assigned dramatically higher statistical significance when quantified using TMT. Data are available via ProteomeXchange with identifier PXD003346.

Entities:  

Keywords:  TMT; iTRAQ; label-free quantification; quantitative mass spectrometry

Mesh:

Substances:

Year:  2016        PMID: 27345528     DOI: 10.1021/acs.jproteome.6b00066

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


  48 in total

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2.  A Sam68-dependent alternative splicing program shapes postsynaptic protein complexes.

Authors:  Harald Witte; Dietmar Schreiner; Peter Scheiffele
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3.  Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification.

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Review 4.  Sample Multiplexing Strategies in Quantitative Proteomics.

Authors:  Albert B Arul; Renã A S Robinson
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Journal:  Nucleic Acids Res       Date:  2022-04-08       Impact factor: 16.971

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Authors:  Athanasios Litsios; Daphne H E W Huberts; Hanna M Terpstra; Paolo Guerra; Alexander Schmidt; Katarzyna Buczak; Alexandros Papagiannakis; Mattia Rovetta; Johan Hekelaar; Georg Hubmann; Marten Exterkate; Andreas Milias-Argeitis; Matthias Heinemann
Journal:  Nat Cell Biol       Date:  2019-11-04       Impact factor: 28.824

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Authors:  Viktoriya Shyp; Badri Nath Dubey; Raphael Böhm; Johannes Hartl; Jutta Nesper; Julia A Vorholt; Sebastian Hiller; Tilman Schirmer; Urs Jenal
Journal:  Nat Microbiol       Date:  2020-11-09       Impact factor: 17.745

10.  Hepatic stellate cells suppress NK cell-sustained breast cancer dormancy.

Authors:  Ana Luísa Correia; Joao C Guimaraes; Priska Auf der Maur; Duvini De Silva; Marcel P Trefny; Ryoko Okamoto; Sandro Bruno; Alexander Schmidt; Kirsten Mertz; Katrin Volkmann; Luigi Terracciano; Alfred Zippelius; Marcus Vetter; Christian Kurzeder; Walter Paul Weber; Mohamed Bentires-Alj
Journal:  Nature       Date:  2021-06-02       Impact factor: 69.504

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