Determination of the concentration range for 267 proteins from 21 lots of commercial human plasma using highly multiplexed multiple reaction monitoring mass spectrometry.


Journal

The Analyst
ISSN: 1364-5528
Titre abrégé: Analyst
Pays: England
ID NLM: 0372652

Informations de publication

Date de publication:
18 May 2020
Historique:
pubmed: 8 4 2020
medline: 12 1 2021
entrez: 8 4 2020
Statut: ppublish

Résumé

Multiple reaction monitoring (MRM) is a key tool for biomarker validation and the translation of potential biomarkers into the clinic. To demonstrate the applicability of MRM towards achieving this goal, we set out to determine the concentration ranges of 267 plasma proteins, including 61 FDA-approved/LDT developed biomarkers, in 21 commercial human plasma lots, as well as to assess accuracy and precision. Each target protein was quantified by calculating the area ratio of the endogenous tryptic target peptide to its stable isotope-labelled internal standard equivalent and compared to a standard curve. This highly multiplexed approach utilized a standard-flow UHPLC system linked to a triple quadrupole. All samples were analyzed across three separate days and assessed for robustness and accuracy. The standard curves and quality control samples showed excellent performance, with >93% of standards and QCs meeting the acceptance criteria. A total of 248 proteins were able to be quantified in at least one sample on at least one of the three days, with 111 proteins being quantified in all 21 samples on all three days. The protein concentrations across all proteins covered six orders of magnitude. Furthermore, excellent three-day precision was demonstrated with 86% of CVs falling below 15%. Overall, the protein concentration differences ranged from 1.1-fold for metalloproteinase inhibitor 2, to 69-fold for serum amyloid A-1/A-2.

Identifiants

pubmed: 32255452
doi: 10.1039/c9an01893j
doi:

Substances chimiques

Blood Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3634-3644

Auteurs

Claudia Gaither (C)

MRM Proteomics Inc., 141 Avenue du Président-Kennedy, SB-5100, C.P. #26, Montreal, QC H2X 3X8, Canada.

Robert Popp (R)

MRM Proteomics Inc., 141 Avenue du Président-Kennedy, SB-5100, C.P. #26, Montreal, QC H2X 3X8, Canada.

Yassene Mohammed (Y)

University of Victoria - Genome British Columbia Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada and Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands.

Christoph H Borchers (CH)

University of Victoria - Genome British Columbia Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada and Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, V8P 5C2, Canada and Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec H3 T 1E2, Canada. christoph.borchers@mcgill.ca and Gerald Bronfman Department of Oncology, Jewish General Hospital, McGill University, Montreal, Quebec H3 T 1E2, Canada and Department of Data Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Skolkovo Innovation Center, Nobel St., Moscow 143026, Russia.

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Classifications MeSH