Literature DB >> 33950503

Detailed Method for Performing the ExSTA Approach in Quantitative Bottom-Up Plasma Proteomics.

Andrew J Percy1, Christoph H Borchers2,3,4.   

Abstract

The use of stable isotope-labeled standards (SIS) is an analytically valid means of quantifying proteins in biological samples. The nature of the labeled standards and their point of insertion in a bottom-up proteomic workflow can vary, with quantification methods utilizing curves in analytically sound practices. A promising quantification strategy for low sample amounts is external standard addition (ExSTA). In ExSTA, multipoint calibration curves are generated in buffer using serially diluted natural (NAT) peptides and a fixed concentration of SIS peptides. Equal concentrations of SIS peptides are spiked into experimental sample digests, with all digests (control and experimental) subjected to solid-phase extraction prior to liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis. Endogenous peptide concentrations are then determined using the regression equation of the standard curves. Given the benefits of ExSTA in large-scale analysis, a detailed protocol is provided herein for quantifying a multiplexed panel of 125 high-to-moderate abundance proteins in undepleted and non-enriched human plasma samples. The procedural details and recommendations for successfully executing all phases of this quantification approach are described. As the proteins have been putatively correlated with various noncommunicable diseases, quantifying these by ExSTA in large-scale studies should help rapidly and precisely assess their true biomarker efficacy.

Entities:  

Keywords:  Forward curve; Human plasma; Protein; Proteomics; Quantification; Stable isotope-labeled standard; Standard curve

Year:  2021        PMID: 33950503     DOI: 10.1007/978-1-0716-1024-4_25

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  30 in total

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Authors:  Guillaume Picard; Dorothée Lebert; Mathilde Louwagie; Annie Adrait; Céline Huillet; François Vandenesch; Christophe Bruley; Jérôme Garin; Michel Jaquinod; Virginie Brun
Journal:  J Mass Spectrom       Date:  2012-10       Impact factor: 1.982

Review 2.  LC-MSE, Multiplex MS/MS, Ion Mobility, and Label-Free Quantitation in Clinical Proteomics.

Authors:  Gustavo Henrique Martins Ferreira Souza; Paul C Guest; Daniel Martins-de-Souza
Journal:  Methods Mol Biol       Date:  2017

Review 3.  Clinical translation of MS-based, quantitative plasma proteomics: status, challenges, requirements, and potential.

Authors:  Andrew J Percy; Simon Byrns; Stephen R Pennington; Daniel T Holmes; N Leigh Anderson; Tasha M Agreste; Maureen A Duffy
Journal:  Expert Rev Proteomics       Date:  2016-07-08       Impact factor: 3.940

4.  Selected reaction monitoring approach for validating peptide biomarkers.

Authors:  Qing Wang; Ming Zhang; Tyler Tomita; Joshua T Vogelstein; Shibin Zhou; Nickolas Papadopoulos; Kenneth W Kinzler; Bert Vogelstein
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-04       Impact factor: 11.205

5.  Metamorphosis in medicine--for better or for worse.

Authors:  E F Parker
Journal:  Ann Surg       Date:  1972-05       Impact factor: 12.969

6.  Multiplex and accurate quantification of acute kidney injury biomarker candidates in urine using Protein Standard Absolute Quantification (PSAQ) and targeted proteomics.

Authors:  Benoît Gilquin; Mathilde Louwagie; Michel Jaquinod; Alexandre Cez; Guillaume Picard; Leila El Kholy; Brigitte Surin; Jérôme Garin; Myriam Ferro; Thomas Kofman; Caroline Barau; Emmanuelle Plaisier; Pierre Ronco; Virginie Brun
Journal:  Talanta       Date:  2016-11-13       Impact factor: 6.057

7.  Deep-Dive Targeted Quantification for Ultrasensitive Analysis of Proteins in Nondepleted Human Blood Plasma/Serum and Tissues.

Authors:  Song Nie; Tujin Shi; Thomas L Fillmore; Athena A Schepmoes; Heather Brewer; Yuqian Gao; Ehwang Song; Hui Wang; Karin D Rodland; Wei-Jun Qian; Richard D Smith; Tao Liu
Journal:  Anal Chem       Date:  2017-08-11       Impact factor: 6.986

8.  Personalized Proteomics: The Future of Precision Medicine.

Authors:  Trevor T Duarte; Charles T Spencer
Journal:  Proteomes       Date:  2016-10-01

9.  Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry.

Authors:  Ben C Collins; Christie L Hunter; Yansheng Liu; Birgit Schilling; George Rosenberger; Samuel L Bader; Daniel W Chan; Bradford W Gibson; Anne-Claude Gingras; Jason M Held; Mio Hirayama-Kurogi; Guixue Hou; Christoph Krisp; Brett Larsen; Liang Lin; Siqi Liu; Mark P Molloy; Robert L Moritz; Sumio Ohtsuki; Ralph Schlapbach; Nathalie Selevsek; Stefani N Thomas; Shin-Cheng Tzeng; Hui Zhang; Ruedi Aebersold
Journal:  Nat Commun       Date:  2017-08-21       Impact factor: 14.919

10.  A rapid methods development workflow for high-throughput quantitative proteomic applications.

Authors:  Yan Chen; Jonathan Vu; Mitchell G Thompson; William A Sharpless; Leanne Jade G Chan; Jennifer W Gin; Jay D Keasling; Paul D Adams; Christopher J Petzold
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

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  1 in total

1.  Prognosis of Alzheimer's Disease Using Quantitative Mass Spectrometry of Human Blood Plasma Proteins and Machine Learning.

Authors:  Alexey S Kononikhin; Natalia V Zakharova; Savva D Semenov; Anna E Bugrova; Alexander G Brzhozovskiy; Maria I Indeykina; Yana B Fedorova; Igor V Kolykhalov; Polina A Strelnikova; Anna Yu Ikonnikova; Dmitry A Gryadunov; Svetlana I Gavrilova; Evgeny N Nikolaev
Journal:  Int J Mol Sci       Date:  2022-07-18       Impact factor: 6.208

  1 in total

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