Literature DB >> 24074274

Quantification of transferrin in human serum using both QconCAT and synthetic internal standards.

Tyler A Zimmerman1, Meiyao Wang, Mark S Lowenthal, Illarion V Turko, Karen W Phinney.   

Abstract

Transferrin, an iron transport protein, is a clinically important biomarker in diseases such as iron-deficiency anemia. Current diagnostic methods for transferrin levels lack quantitative accuracy, suggesting the need for alternative approaches like LC-MS with isotope-labeled peptides as internal standards. Besides solid-phase synthesis, isotope-labeled peptides are also generated by a method called QconCAT where peptides are expressed from DNA in the presence of heavy isotope media. After evaluation of the expressed QconCAT, this study compares transferrin levels obtained by synthetic peptides versus QconCAT peptides as internal standards. Transferrin levels obtained by both internal standards give overlapping, or nearly overlapping, uncertainty values and are near ≈200 mg/dL of transferrin in human serum. Close agreement between the two methods suggests that the quantitative values are reasonable. Using QconCAT and synthetic peptides in parallel gives a refined focus on method development, and the resulting methods should be applicable to other clinically relevant proteins.

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Year:  2013        PMID: 24074274     DOI: 10.1021/ac402326v

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  3 in total

1.  Assessment of Extracellular Vesicles Purity Using Proteomic Standards.

Authors:  Tingting Wang; Kyle W Anderson; Illarion V Turko
Journal:  Anal Chem       Date:  2017-10-05       Impact factor: 6.986

2.  Proteomic Toolbox To Standardize the Separation of Extracellular Vesicles and Lipoprotein Particles.

Authors:  Tingting Wang; Illarion V Turko
Journal:  J Proteome Res       Date:  2018-08-16       Impact factor: 4.466

3.  An extra dimension in protein tagging by quantifying universal proteotypic peptides using targeted proteomics.

Authors:  Giel Vandemoortele; An Staes; Giulia Gonnelli; Noortje Samyn; Delphine De Sutter; Elien Vandermarliere; Evy Timmerman; Kris Gevaert; Lennart Martens; Sven Eyckerman
Journal:  Sci Rep       Date:  2016-06-06       Impact factor: 4.379

  3 in total

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