Literature DB >> 15253416

Quantification in proteomics through stable isotope coding: a review.

Samir Julka1, Fred Regnier.   

Abstract

This review focuses on techniques for quantification and identification in proteomics by stable isotope coding. Methods are examined for analyzing expression, post-translational modifications, protein:protein interactions, single amino acid polymorphism, and absolute quantification. The bulk of the quantification literature in proteomics focuses on expression analysis, where a wide variety of methods targeting different features of proteins are described. Methods for the analysis of post-translational modification (PTM) focus primarily on phosphorylation and glycosylation, where quantification is achieved in two ways, either by substitution or tagging of the PTM with an isotopically coded derivatizing agent in a single process or by coding and selecting PTM modified peptides in separate operations. Absolute quantification has been achieved by age-old internal standard methods, in which an isotopically labeled isoform of an analyte is synthesized and added to a mixture at a known concentration. One of the surprises is that isotope coding can be a valuable aid in the examination of intermolecular association of proteins through stimulus:response studies. Preliminary efforts to recognize single amino acid polymorphism are also described. The review ends with the conclusion that (1) isotope ratio analysis of protein concentration between samples does not necessarily relate directly to protein expression and rate of PTM and (2) that multiple new methods must be developed and applied simultaneously to make existing stable isotope quantification methods more meaningful. Although stable isotope coding is a powerful, wonderful new technique, multiple analytical issues must be solved for the technique to reach its full potential as a tool to study biological systems.

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Year:  2004        PMID: 15253416     DOI: 10.1021/pr0340734

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


  58 in total

1.  An automated method for the analysis of stable isotope labeling data in proteomics.

Authors:  Xiang Zhang; Wade Hines; Jiri Adamec; John M Asara; Stephen Naylor; Fred E Regnier
Journal:  J Am Soc Mass Spectrom       Date:  2005-07       Impact factor: 3.109

2.  Quantitative peptidomics in mice: effect of cocaine treatment.

Authors:  Fa-Yun Che; Ilona Vathy; Lloyd D Fricker
Journal:  J Mol Neurosci       Date:  2006       Impact factor: 3.444

3.  Minimizing back exchange in 18O/16O quantitative proteomics experiments by incorporation of immobilized trypsin into the initial digestion step.

Authors:  Joel R Sevinsky; Kristy J Brown; Benjamin J Cargile; Jonathan L Bundy; James L Stephenson
Journal:  Anal Chem       Date:  2007-01-24       Impact factor: 6.986

4.  Quantitative proteome analysis using D-labeled N-ethylmaleimide and 13C-labeled iodoacetanilide by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Authors:  Sadamu Kurono; Tamie Kurono; Naoka Komori; Satomi Niwayama; Hiroyuki Matsumoto
Journal:  Bioorg Med Chem       Date:  2006-10-16       Impact factor: 3.641

5.  Peptide and protein quantification using iTRAQ with electron transfer dissociation.

Authors:  Doug Phanstiel; Yi Zhang; Jarrod A Marto; Joshua J Coon
Journal:  J Am Soc Mass Spectrom       Date:  2008-06-17       Impact factor: 3.109

Review 6.  Proteomics and the analysis of proteomic data: an overview of current protein-profiling technologies.

Authors:  Erol E Gulcicek; Christopher M Colangelo; Walter McMurray; Kathryn Stone; Kenneth Williams; Terence Wu; Hongyu Zhao; Heidi Spratt; Alexander Kurosky; Baolin Wu
Journal:  Curr Protoc Bioinformatics       Date:  2005-07

Review 7.  Proteomic approaches in research of cyanobacterial photosynthesis.

Authors:  Natalia Battchikova; Martina Angeleri; Eva-Mari Aro
Journal:  Photosynth Res       Date:  2014-10-31       Impact factor: 3.573

8.  In-line system containing porous polymer monoliths for protein digestion with immobilized pepsin, peptide preconcentration and nano-liquid chromatography separation coupled to electrospray ionization mass spectroscopy.

Authors:  Laurent Geiser; Sebastiaan Eeltink; Frantisek Svec; Jean M J Fréchet
Journal:  J Chromatogr A       Date:  2008-02-29       Impact factor: 4.759

9.  Quantitative proteomic profiling of host-pathogen interactions: the macrophage response to Mycobacterium tuberculosis lipids.

Authors:  Wenqing Shui; Sarah A Gilmore; Leslie Sheu; Jun Liu; Jay D Keasling; Carolyn R Bertozzi
Journal:  J Proteome Res       Date:  2009-01       Impact factor: 4.466

10.  MRM screening/biomarker discovery with linear ion trap MS: a library of human cancer-specific peptides.

Authors:  Xu Yang; Iulia M Lazar
Journal:  BMC Cancer       Date:  2009-03-27       Impact factor: 4.430

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