Literature DB >> 19817497

Quantitative serum proteomics using dual stable isotope coding and nano LC-MS/MSMS.

Hong Wang1, Chee-Hong Wong, Alice Chin, Jacob Kennedy, Qing Zhang, Samir Hanash.   

Abstract

Stable isotope coding technique in combination with mass spectrometry has emerged as a powerful tool to accurately identify and differentially quantify proteins within complex protein mixtures. We present a novel methodology to increase the yield of quantified proteins while maintaining a high stable-isotopic labeling efficacy. With this approach, intact proteins in complex biological sample such as sera are labeled with the designated dual stable isotope coding (DSIC) systems. In brief, intact proteins are coded sequentially with acrylamide to label Cysteine residues (Cys) and with succinic anhydride to label Lysine residues (Lys). Protein samples coded with this dual stable isotope are subjected to an online 2D-HPLC fractionation. The resolved protein fractions are individually digested with trypsin and analyzed with nano LC-MS/MSMS. Our results show that the DSIC labeling efficiency is 100% for Cysteine (Cys) labeled with acrylamide and 98% for Lysine (Lys) labeled with succinic anhydride. A comparative analysis of DSIC labeling and single labeling of Cysteine residues was made. Analysis of an entire anion-exchange chromatography subfraction of sera yielded 165 identified proteins (criteria: error rate <5% and unique peptides >or=2), 104 of which were quantified using the single labeling method (i.e., Cysteine acrylamide labeling only). In contrast, using same criteria for identification, a total 185 proteins were identified and 174 proteins were quantified using the DSIC labeling technique.

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Year:  2009        PMID: 19817497      PMCID: PMC4684172          DOI: 10.1021/pr900158n

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


  34 in total

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Journal:  Anal Chem       Date:  2005-01-15       Impact factor: 6.986

5.  Label-free quantitative proteomics using large peptide data sets generated by nanoflow liquid chromatography and mass spectrometry.

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Journal:  Mol Cell Proteomics       Date:  2006-03-21       Impact factor: 5.911

6.  Increased throughput and reduced carryover of mass spectrometry-based proteomics using a high-efficiency nonsplit nanoflow parallel dual-column capillary HPLC system.

Authors:  Hong Wang; Samir M Hanash
Journal:  J Proteome Res       Date:  2008-05-31       Impact factor: 4.466

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Journal:  Anal Chem       Date:  2001-07-01       Impact factor: 6.986

8.  Catch-and-release reagents for broadscale quantitative proteomics analyses.

Authors:  Carlos A Gartner; Joshua E Elias; Corey E Bakalarski; Steven P Gygi
Journal:  J Proteome Res       Date:  2007-02-21       Impact factor: 4.466

9.  Quantitation of neuropeptides in Cpe(fat)/Cpe(fat) mice using differential isotopic tags and mass spectrometry.

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Journal:  Anal Chem       Date:  2002-07-01       Impact factor: 6.986

10.  Differentially isotope-coded N-terminal protein sulphonation: combining protein identification and quantification.

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  4 in total

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Journal:  Biomark Med       Date:  2010-12       Impact factor: 2.851

Review 2.  The path to clinical proteomics research: integration of proteomics, genomics, clinical laboratory and regulatory science.

Authors:  Emily S Boja; Henry Rodriguez
Journal:  Korean J Lab Med       Date:  2011-04

3.  Clinical proteomics and OMICS clues useful in translational medicine research.

Authors:  Elena López; Luis Madero; Juan López-Pascual; Martin Latterich
Journal:  Proteome Sci       Date:  2012-05-29       Impact factor: 2.480

4.  Relevant phosphoproteomic and mass spectrometry: approaches useful in clinical research.

Authors:  Elena López; Sarbelio Rodríguez Muñoz; Juan López Pascual; Luis Madero
Journal:  Clin Transl Med       Date:  2012-03-29
  4 in total

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