Literature DB >> 21365756

Evaluation of absolute peptide quantitation strategies using selected reaction monitoring.

James Campbell1, Taha Rezai, Amol Prakash, Bryan Krastins, Loïc Dayon, Malcolm Ward, Sarah Robinson, Mary Lopez.   

Abstract

The use of internal peptide standards in selected reaction monitoring experiments enables absolute quantitation. Here, we describe three approaches addressing calibration of peptide concentrations in complex matrices and assess their performance in terms of trueness and precision. The simplest approach described is single reference point quantitation where a heavy peptide is spiked into test samples and the endogenous analyte quantified relative to the heavy peptide internal standard. We refer to the second approach as normal curve quantitation. Here, a constant amount of heavy peptide and a varying amount of light peptide are spiked into matrix to construct a calibration curve. This accounts for matrix effects but due to the presence of endogenous analyte, it is usually not possible to determine the lower LOQ. We refer to the third method as reverse curve quantitation. Here, a constant amount of light peptide and a varying amount of heavy peptide are spiked into matrix to construct a calibration curve. Because there is no contribution to the heavy peptide signal from endogenous analyte, it is possible to measure the equivalent of a blank sample and determine LOQ. These approaches are applied to human plasma samples and used to assay peptides of a set of apolipoproteins.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21365756     DOI: 10.1002/pmic.201000511

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  13 in total

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Authors:  Mary F Lopez; David A Sarracino; Amol Prakash; Michael Athanas; Bryan Krastins; Taha Rezai; Jennifer N Sutton; Scott Peterman; Oksana Gvozdyak; Sherry Chou; Eng Lo; Ferdinand Buonanno; MingMing Ning
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4.  A robotic protocol for high-throughput processing of samples for selected reaction monitoring assays.

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Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

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Authors:  Regine M Schoenherr; Jeffrey R Whiteaker; Lei Zhao; Richard G Ivey; Mary Trute; Jacob Kennedy; Uliana J Voytovich; Ping Yan; Chenwei Lin; Amanda G Paulovich
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

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Journal:  PLoS One       Date:  2014-10-21       Impact factor: 3.240

10.  Identification of psoriatic arthritis mediators in synovial fluid by quantitative mass spectrometry.

Authors:  Daniela Cretu; Ioannis Prassas; Punit Saraon; Ihor Batruch; Rajiv Gandhi; Eleftherios P Diamandis; Vinod Chandran
Journal:  Clin Proteomics       Date:  2014-07-01       Impact factor: 3.988

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