Literature DB >> 17644760

High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites.

Jianru Stahl-Zeng1, Vinzenz Lange, Reto Ossola, Katrin Eckhardt, Wilhelm Krek, Ruedi Aebersold, Bruno Domon.   

Abstract

The detection and quantification of plasma (serum) proteins at or below the ng/ml concentration range are of critical importance for the discovery and evaluation of new protein biomarkers. This has been achieved either by the development of high sensitivity ELISA or other immunoassays for specific proteins or by the extensive fractionation of the plasma proteome followed by the mass spectrometric analysis of the resulting fractions. The first approach is limited by the high cost and time investment for assay development and the requirement of a validated target. The second, although reasonably comprehensive and unbiased, is limited by sample throughput. Here we describe a method for the detection of plasma proteins at concentrations in the ng/ml or sub-ng/ml range and their accurate quantification over 5 orders of magnitude. The method is based on the selective isolation of N-glycosites from the plasma proteome and the detection and quantification of targeted peptides in a quadrupole linear ion trap instrument operated in the multiple reaction monitoring (MRM) mode. The unprecedented sensitivity of the mass spectrometric analysis of minimally fractionated plasma samples is the result of the significantly reduced sample complexity of the isolated N-glycosites compared with whole plasma proteome digests and the selectivity of the MRM process. Precise quantification was achieved via stable isotope dilution by adding (13)C- and/or (15)N-labeled reference analytes. We also demonstrate the possibility of significantly expanding the number of MRM measurements during one single LC-MS run without compromising sensitivity by including elution time constraints for the targeted transitions, thus allowing quantification of large sets of peptides in a single analysis.

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Year:  2007        PMID: 17644760     DOI: 10.1074/mcp.M700132-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  133 in total

1.  The interface between biomarker discovery and clinical validation: The tar pit of the protein biomarker pipeline.

Authors:  Amanda G Paulovich; Jeffrey R Whiteaker; Andrew N Hoofnagle; Pei Wang
Journal:  Proteomics Clin Appl       Date:  2008-10-01       Impact factor: 3.494

2.  Combining ultracentrifugation and peptide termini group-specific immunoprecipitation for multiplex plasma protein analysis.

Authors:  Sonja Volk; Thomas D Schreiber; David Eisen; Calvin Wiese; Hannes Planatscher; Christopher J Pynn; Dieter Stoll; Markus F Templin; Thomas O Joos; Oliver Pötz
Journal:  Mol Cell Proteomics       Date:  2012-04-23       Impact factor: 5.911

3.  A computational tool to detect and avoid redundancy in selected reaction monitoring.

Authors:  Hannes Röst; Lars Malmström; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-04-24       Impact factor: 5.911

4.  Mass spectrometry-based detection and quantification of plasma glycoproteins using selective reaction monitoring.

Authors:  Yeoun Jin Kim; Zaya Zaidi-Ainouch; Sebastien Gallien; Bruno Domon
Journal:  Nat Protoc       Date:  2012-04-12       Impact factor: 13.491

Review 5.  Selected reaction monitoring-based proteomics: workflows, potential, pitfalls and future directions.

Authors:  Paola Picotti; Ruedi Aebersold
Journal:  Nat Methods       Date:  2012-05-30       Impact factor: 28.547

Review 6.  Mass spectrometry based glycoproteomics--from a proteomics perspective.

Authors:  Sheng Pan; Ru Chen; Ruedi Aebersold; Teresa A Brentnall
Journal:  Mol Cell Proteomics       Date:  2010-08-24       Impact factor: 5.911

Review 7.  Proteomic identification of carbonylated proteins and their oxidation sites.

Authors:  Ashraf G Madian; Fred E Regnier
Journal:  J Proteome Res       Date:  2010-08-06       Impact factor: 4.466

8.  Options and considerations when selecting a quantitative proteomics strategy.

Authors:  Bruno Domon; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2010-07-09       Impact factor: 54.908

Review 9.  Comparative analysis of the liver and plasma proteomes as a novel and powerful strategy for hepatocellular carcinoma biomarker discovery.

Authors:  Laura Beretta
Journal:  Cancer Lett       Date:  2009-02-15       Impact factor: 8.679

Review 10.  Solid-phase glycan isolation for glycomics analysis.

Authors:  Shuang Yang; Hui Zhang
Journal:  Proteomics Clin Appl       Date:  2012-12       Impact factor: 3.494

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