Multi-site assessment of the precision and reproducibility of multiple reaction monitoring–based measurements of proteins in plasma
Open accessAbstract
Verification of candidate biomarkers relies upon specific, quantitative assays optimized for selective detection of target proteins, and is increasingly viewed as a critical step in the discovery pipeline that bridges unbiased biomarker discovery to preclinical validation. Although individual laboratories have demonstrated that multiple reaction monitoring (MRM) coupled with isotope dilution mass spectrometry can quantify candidate protein biomarkers in plasma, reproducibility and transferability of these assays between laboratories have not been demonstrated. We describe a multilaboratory study to assess reproducibility, recovery, linear dynamic range and limits of detection and quantification of multiplexed, MRM-based assays, conducted by NCI-CPTAC. Using common materials and standardized protocols, we demonstrate that these assays can be highly reproducible within and across laboratories and instrument platforms, and are sensitive to low mug/ml protein concentrations in unfractionated plasma. We provide data and benchmarks against which individual laboratories can compare their performance and evaluate new technologies for biomarker verification in plasma.
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CPTAC and associated projects focused on targeted proteomics via SRM represent the most advanced work on robustness and transferability of quantitative proteomics methods to date.
“Finally, a further comparison with CPTAC and associated projects focused on targeted proteomics via SRM is of interest as it represents the most advanced work on the robustness and transferability of quantitative proteomics methods to date24, 26, 27.”
From Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry (2017) · cites this paper as [24]
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References 41 · Cited by 1,037
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- [17]Whiteaker JR Integrated pipeline for mass spectrometry-based discovery and confirmation of biomarkers demonstrated in a mouse model of breast cancer J. Proteome Res 2007 6 3962 3975 17711321
- Authors
- Addona, T. A., Abbatiello, S. E., Schilling, B., Skates, S. J., Mani, D. R., Bunk, D. M., Spiegelman, C. H., Zimmerman, L. J., Ham, A.-J. L., Keshishian, H., Hall, S. C., Allen, S., Blackman, R. K., Borchers, C. H., Buck, C., Cardasis, H. L., Cusack, M. P., Dodder, N. G., Gibson, B. W., Held, J. M., Hiltke, T., Jackson, A., Johansen, E. B., Kinsinger, C. R., Li, J., Mesri, M., Neubert, T. A., Niles, R. K., Pulsipher, T. C., Ransohoff, D., Rodriguez, H., Rudnick, P. A., Smith, D., Tabb, D. L., Tegeler, T. J., Variyath, A. M., Vega-Montoto, L. J., Wahlander, Å., Waldemarson, S., Wang, M., Whiteaker, J. R., Zhao, L., Anderson, N. L., Fisher, S. J., Liebler, D. C., Paulovich, A. G., Regnier, F. E., Tempst, P., & Carr, S. A.
- Affiliations
- Broad Institute (US)
- Buck Institute for Research on Aging (US)
- Massachusetts General Hospital (US)
- National Institute of Standards and Technology (US)
- Texas A&M University (US)
- Vanderbilt University (US)
- University of California, San Francisco (US)
- University of Victoria (CA)
- Purdue University West Lafayette (US)
- New York University (US)
- National Institutes of Health (US)
- University of North Carolina at Chapel Hill (US)
- Indiana University School of Medicine (US)
- Fred Hutch Cancer Center (US)
- Memorial Sloan Kettering Cancer Center (US)
- Corresponding author
- Carr, Steven A
- ORCID
- Addona, Terri A
- Abbatiello, Susan E
- Schilling, Birgit
- Skates, Steven J
- Mani, D R
- Bunk, David M
- Zimmerman, Lisa J
- Ham, Amy-Joan L
- Keshishian, Hasmik
- Hall, Steven C
- Borchers, Christoph H
- Dodder, Nathan G
- Gibson, Bradford W
- Held, Jason M
- Hiltke, Tara
- Jackson, Angela
- Kinsinger, Christopher R
- Li, Jing
- Mesri, Mehdi
- Neubert, Thomas A
- Ransohoff, David
- Rodriguez, Henry
- Rudnick, Paul A
- Tabb, David L
- Variyath, Asokan M
- Waldemarson, Sofia
- Wang, Mu
- Whiteaker, Jeffrey R
- Zhao, Lei
- Anderson, N Leigh
- Fisher, Susan J
- Liebler, Daniel C
- Paulovich, Amanda G
- Regnier, Fred E
- Tempst, Paul
- Carr, Steven A
- Venue
- Nature Biotechnology
- Published
- 2009-06-28
- Volume
- 27
- Issue
- 7
- Pages
- 633-641
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC2855883
- OpenAlex
- W2170791918
- Cited by
- 1,037
- References
- 41
- Citations by year
- 2026: 19 · 2025: 17 · 2024: 19 · 2023: 24 · 2022: 28 · 2021: 33 · 2020: 43 · 2019: 40 · 2018: 59 · 2017: 65 · 2016: 63 · 2015: 86 · 2014: 100 · 2013: 108 · 2012: 130
- FWCI
- 47.57
- Type
- journal article
- Language
- en
- Update notices
- erratum (2009-09-01)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- Massachusetts General Hospital
- Purdue University
- Vanderbilt University
- Memorial Sloan-Kettering Cancer Center
- Canary Foundation
- University of Washington
- University of Arizona
- Indiana University-Purdue University Indianapolis
- University of Victoria
- Broad Institute
- Buck Institute for Research on Aging
- York University
- University of British Columbia
- School of Medicine, Vanderbilt University
- U.S. Public Health Service (U24 126480, U24 126479, U24 126477)
- University of North Carolina at Chapel Hill
- University of California, San Francisco
- National Cancer Institute (U24CA126480, U24CA126485, U24CA126476)
- Lawrence Berkeley National Laboratory
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- multiple reaction monitoring, protein biomarkers, plasma proteomics, interlaboratory reproducibility, isotope dilution mass spectrometry, detection and quantification limits, linear dynamic range, biomarker verification
- MeSH terms
- Blood Chemical Analysis, Blood Proteins, Humans, Sensitivity and Specificity, Mass Spectrometry, Technology Assessment, Biomedical, Reproducibility of Results, Biomarkers, Linear Models, Proteome
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