Literature DB >> 21818813

Comparison of stable-isotope labeling with amino acids in cell culture and spectral counting for relative quantification of protein expression.

Timothy S Collier1, Shan M Randall, Prasenjit Sarkar, Balaji M Rao, Ralph A Dean, David C Muddiman.   

Abstract

Protein quantification is one of the principal goals of mass spectrometry (MS)-based proteomics, and many strategies exist to achieve it. Several approaches involve the incorporation of a stable-isotope label using either chemical derivatization, enzymatically catalyzed incorporation of (18)O, or metabolic labeling in a cell or tissue culture. These techniques can be cost or time prohibitive or not amenable to the biological system of interest. Label-free techniques including those utilizing integrated ion abundance and spectral counting offer an alternative to stable-isotope-based methodologies. Herein, we present the comparison of stable-isotope labeling of amino acids in cell culture (SILAC) with spectral counting for the quantification of human embryonic stem cells as they differentiate toward the trophectoderm at three time points. Our spectral counting experimental strategy resulted in the identification of 2641 protein groups across three time points with an average sequence coverage of 30.3%, of which 1837 could be quantified with more than five spectral counts. SILAC quantification was able to identify 1369 protein groups with an average coverage of 24.7%, of which 1027 could be quantified across all time points. Within this context we further explore the capacity of each strategy for proteome coverage, variation in quantification, and the relative sensitivity of each technique to the detection of change in relative protein expression.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 21818813     DOI: 10.1002/rcm.5151

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  18 in total

1.  Evaluation of normalization methods on GeLC-MS/MS label-free spectral counting data to correct for variation during proteomic workflows.

Authors:  Emine Gokce; Christopher M Shuford; William L Franck; Ralph A Dean; David C Muddiman
Journal:  J Am Soc Mass Spectrom       Date:  2011-09-24       Impact factor: 3.109

2.  Protein Mobility Shifts Contribute to Gel Electrophoresis Liquid Chromatography Analysis.

Authors:  Nicholas J Carruthers; Graham C Parker; Theresa Gratsch; Joseph A Caruso; Paul M Stemmer
Journal:  J Biomol Tech       Date:  2015-09

3.  Precision, proteome coverage, and dynamic range of Arabidopsis proteome profiling using (15)N metabolic labeling and label-free approaches.

Authors:  Borjana Arsova; Henrik Zauber; Waltraud X Schulze
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4.  Functional Consequences of Mannose and Asialoglycoprotein Receptor Ablation.

Authors:  Yiling Mi; Marcy Coonce; Dorothy Fiete; Lindsay Steirer; Gabriela Dveksler; R Reid Townsend; Jacques U Baenziger
Journal:  J Biol Chem       Date:  2016-07-12       Impact factor: 5.157

Review 5.  Causes and consequences of aneuploidy in cancer.

Authors:  David J Gordon; Benjamin Resio; David Pellman
Journal:  Nat Rev Genet       Date:  2012-01-24       Impact factor: 53.242

6.  Sources of technical variability in quantitative LC-MS proteomics: human brain tissue sample analysis.

Authors:  Paul D Piehowski; Vladislav A Petyuk; Daniel J Orton; Fang Xie; Ronald J Moore; Manuel Ramirez-Restrepo; Anzhelika Engel; Andrew P Lieberman; Roger L Albin; David G Camp; Richard D Smith; Amanda J Myers
Journal:  J Proteome Res       Date:  2013-04-10       Impact factor: 4.466

Review 7.  Quantitative analysis of global phosphorylation changes with high-resolution tandem mass spectrometry and stable isotopic labeling.

Authors:  Hye Kyong Kweon; Philip C Andrews
Journal:  Methods       Date:  2013-04-21       Impact factor: 3.608

8.  Proteomic analysis of an unculturable bacterial endosymbiont (Blochmannia) reveals high abundance of chaperonins and biosynthetic enzymes.

Authors:  Yongliang Fan; J Will Thompson; Laura G Dubois; M Arthur Moseley; Jennifer J Wernegreen
Journal:  J Proteome Res       Date:  2012-12-27       Impact factor: 4.466

9.  Comparison of protein expression ratios observed by sixplex and duplex TMT labeling method.

Authors:  Navin Rauniyar; Benbo Gao; Daniel B McClatchy; John R Yates
Journal:  J Proteome Res       Date:  2012-12-24       Impact factor: 4.466

10.  Individuality Normalization when Labeling with Isotopic Glycan Hydrazide Tags (INLIGHT): a novel glycan-relative quantification strategy.

Authors:  S Hunter Walker; Amber D Taylor; David C Muddiman
Journal:  J Am Soc Mass Spectrom       Date:  2013-07-17       Impact factor: 3.109

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