Literature DB >> 27975233

Protocol for Standardizing High-to-Moderate Abundance Protein Biomarker Assessments Through an MRM-with-Standard-Peptides Quantitative Approach.

Andrew J Percy1, Juncong Yang1, Andrew G Chambers1, Yassene Mohammed1,2, Tasso Miliotis3, Christoph H Borchers4,5.   

Abstract

Quantitative mass spectrometry (MS)-based approaches are emerging as a core technology for addressing health-related queries in systems biology and in the biomedical and clinical fields. In several 'omics disciplines (proteomics included), an approach centered on selected or multiple reaction monitoring (SRM or MRM)-MS with stable isotope-labeled standards (SIS), at the protein or peptide level, has emerged as the most precise technique for quantifying and screening putative analytes in biological samples. To enable the widespread use of MRM-based protein quantitation for disease biomarker assessment studies and its ultimate acceptance for clinical analysis, the technique must be standardized to facilitate precise and accurate protein quantitation. To that end, we have developed a number of kits for assessing method/platform performance, as well as for screening proposed candidate protein biomarkers in various human biofluids. Collectively, these kits utilize a bottom-up LC-MS methodology with SIS peptides as internal standards and quantify proteins using regression analysis of standard curves. This chapter details the methodology used to quantify 192 plasma proteins of high-to-moderate abundance (covers a 6 order of magnitude range from 31 mg/mL for albumin to 18 ng/mL for peroxidredoxin-2), and a 21-protein subset thereof. We also describe the application of this method to patient samples for biomarker discovery and verification studies. Additionally, we introduce our recently developed Qualis-SIS software, which is used to expedite the analysis and assessment of protein quantitation data in control and patient samples.

Entities:  

Keywords:  Biomarker; Internal standards; MRM; Plasma; Proteomics; Quantitation; Standardization

Mesh:

Substances:

Year:  2016        PMID: 27975233     DOI: 10.1007/978-3-319-41448-5_24

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  4 in total

1.  Protein expression changes caused by spaceflight as measured for 18 Russian cosmonauts.

Authors:  Irina M Larina; Andrew J Percy; Juncong Yang; Christoph H Borchers; Andrei M Nosovsky; Anatoli I Grigoriev; Evgeny N Nikolaev
Journal:  Sci Rep       Date:  2017-08-15       Impact factor: 4.379

2.  Proteomics in thrombosis research.

Authors:  Fredrik Edfors; Maria Jesus Iglesias; Lynn M Butler; Jacob Odeberg
Journal:  Res Pract Thromb Haemost       Date:  2022-04-25

3.  Identification of Borrelia protein candidates in mouse skin for potential diagnosis of disseminated Lyme borreliosis.

Authors:  Antoine Grillon; Benoît Westermann; Paola Cantero; Benoît Jaulhac; Maarten J Voordouw; Delphine Kapps; Elody Collin; Cathy Barthel; Laurence Ehret-Sabatier; Nathalie Boulanger
Journal:  Sci Rep       Date:  2017-12-01       Impact factor: 4.379

4.  Multiplexed MRM-based protein quantification of putative prognostic biomarkers for chronic kidney disease progression in plasma.

Authors:  Manousos Makridakis; Georgia Kontostathi; Eleni Petra; Rafael Stroggilos; Vasiliki Lygirou; Szymon Filip; Flore Duranton; Harald Mischak; Angel Argiles; Jerome Zoidakis; Antonia Vlahou
Journal:  Sci Rep       Date:  2020-03-16       Impact factor: 4.379

  4 in total

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