Concentration Determination of >200 Proteins in Dried Blood Spots for Biomarker Discovery and Validation.

HPLC Multiple reaction monitoring biofluids biomarker: diagnostic biomarker: prognostic blood dried blood spot high throughput screening mass spectrometry omics quantification

Journal

Molecular & cellular proteomics : MCP
ISSN: 1535-9484
Titre abrégé: Mol Cell Proteomics
Pays: United States
ID NLM: 101125647

Informations de publication

Date de publication:
03 2020
Historique:
received: 10 10 2019
revised: 06 12 2019
pubmed: 4 1 2020
medline: 5 11 2020
entrez: 4 1 2020
Statut: ppublish

Résumé

The use of protein biomarkers as surrogates for clinical endpoints requires extensive multilevel validation including development of robust and sensitive assays for precise measurement of protein concentration. Multiple reaction monitoring (MRM) is a well-established mass-spectrometric method that can be used for reproducible protein-concentration measurements in biological specimens collected via microsampling. The dried blood spot (DBS) microsampling technique can be performed non-invasively without the expertise of a phlebotomist, and can enhance analyte stability which facilitate the application of this technique in retrospective studies while providing lower storage and shipping costs, because cold-chain logistics can be eliminated. Thus, precise, sensitive, and multiplexed methods for measuring protein concentrations in DBSs can be used for

Identifiants

pubmed: 31896676
pii: S1535-9476(20)35040-4
doi: 10.1074/mcp.TIR119.001820
pmc: PMC7050112
pii:
doi:

Substances chimiques

Biomarkers 0
Blood Proteins 0
Peptides 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

540-553

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2020 Eshghi et al.

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Auteurs

Azad Eshghi (A)

University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada. Electronic address: azad@proteincentre.com.

Adam J Pistawka (AJ)

University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada.

Jun Liu (J)

Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 2B5, Canada.

Michael Chen (M)

Island Medical Program, Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 2B5, Canada.

Nicholas J T Sinclair (NJT)

University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada.

Darryl B Hardie (DB)

University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada.

Monica Elliott (M)

University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada.

Lei Chen (L)

University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada.

Rachael Newman (R)

University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada.

Yassene Mohammed (Y)

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

Christoph H Borchers (CH)

University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada; Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia V8P 5C2, Canada; Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada; Gerald Bronfman Department of Oncology, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada; Department of Data Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Skolkovo Innovation Center, Nobel St., Moscow143026, Russia. Electronic address: christoph.borchers@mcgill.ca.

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Classifications MeSH