Quantitative mass spectrometric multiple reaction monitoring assays for major plasma proteins
Open accessAbstract
Quantitative LC-MS/MS assays were designed for tryptic peptides representing 53 high and medium abundance proteins in human plasma using a multiplexed multiple reaction monitoring (MRM) approach. Of these, 47 produced acceptable quantitative data, demonstrating within-run coefficients of variation (CVs) (n = 10) of 2-22% (78% of assays had CV <10%). A number of peptides gave CVs in the range 2-7% in five experiments (10 replicate runs each) continuously measuring 137 MRMs, demonstrating the precision achievable in complex digests. Depletion of six high abundance proteins by immunosubtraction significantly improved CVs compared with whole plasma, but analytes could be detected in both sample types. Replicate digest and depletion/digest runs yielded correlation coefficients (R(2)) of 0.995 and 0.989, respectively. Absolute analyte specificity for each peptide was demonstrated using MRM-triggered MS/MS scans. Reliable detection of L-selectin (measured at 0.67 microg/ml) indicates that proteins down to the microg/ml level can be quantitated in plasma with minimal sample preparation, yielding a dynamic range of 4.5 orders of magnitude in a single experiment. Peptide MRM measurements in plasma digests thus provide a rapid and specific assay platform for biomarker validation, one that can be extended to lower abundance proteins by enrichment of specific target peptides (stable isotope standards and capture by anti-peptide antibodies (SISCAPA)).
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
LC-MS/MS is suitable for highly multiplexed protein quantification and isoform differentiation, including apolipoproteins.
“LC-MS/MS has proven suitable for multiplexed quantification and phenotyping of apolipoproteins.”
From Automated multiplex LC-MS/MS assay for quantifying serum apolipoproteins A-I, B, C-I, C-II, C-III, and E with qualitative apolipoprotein E phenotyping (2016) · cites this paper as [11]
Cites
Ahmed, N., & Thornalley, P. J. (2003) · Biochemical Society Transactions · doi:10.1042/bst0311417 · Cited by 152 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Protein biomarker discovery and validation: the long and uncertain path to clinical utility
Rifai, N., Gillette, M. A., & Carr, S. A. (2006) · Nature Biotechnology · doi:10.1038/nbt1235 · Cited by 1,867 · see citing works
Selected reaction monitoring–based proteomics: workflows, potential, pitfalls and future directions
Picotti, P., & Aebersold, R. (2012) · Nature Methods · doi:10.1038/nmeth.2015 · Cited by 1,302 · see citing works
Peterson, A. C., Russell, J. D., Bailey, D. J., Westphall, M. S., & Coon, J. J. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o112.020131 · Cited by 1,288 · see citing works
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., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1546 · Cited by 1,037 · see citing works
Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics
Picotti, P., Bodenmiller, B., Mueller, L. N., Domon, B., & Aebersold, R. (2009) · Cell · doi:10.1016/j.cell.2009.05.051 · Cited by 744 · see citing works
Quantitative, High-Resolution Proteomics for Data-Driven Systems Biology
Cox, J., & Mann, M. (2011) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-061308-093216 · Cited by 685 · see citing works
mProphet: automated data processing and statistical validation for large-scale SRM experiments
Reiter, L., Rinner, O., Picotti, P., Hüttenhain, R., Beck, M., Brusniak, M.-Y., Hengartner, M. O., & Aebersold, R. (2011) · Nature Methods · doi:10.1038/nmeth.1584 · Cited by 532 · see citing works
Targeted Proteomic Quantification on Quadrupole-Orbitrap Mass Spectrometer
Gallien, S., Duriez, E., Crone, C., Kellmann, M., Moehring, T., & Domon, B. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o112.019802 · Cited by 510 · see citing works
Comprehensive Characterization of Extracellular Herpes Simplex Virus Type 1 Virions
Loret, S., Guay, G., & Lippé, R. (2008) · Journal of Virology · doi:10.1128/jvi.00904-08 · Cited by 365 · see citing works
The human proteome project: current state and future direction
Legrain, P., Aebersold, R., Archakov, A., Bairoch, A., Bala, K., Beretta, L., Bergeron, J., Borchers, C. H., Corthals, G. L., Costello, C. E., et al. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m111.009993 · Cited by 352 · see citing works
A Designed Inhibitor of p53 Aggregation Rescues p53 Tumor Suppression in Ovarian Carcinomas
Soragni, A., Janzen, D. M., Johnson, L. M., Lindgren, A. G., Thai-Quynh Nguyen, A., Tiourin, E., Soriaga, A. B., Lu, J., Jiang, L., Faull, K. F., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2015.12.002 · Cited by 341 · see citing works
A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis
Picotti, P., Clément-Ziza, M., Lam, H., Campbell, D. S., Schmidt, A., Deutsch, E. W., Röst, H., Sun, Z., Rinner, O., Reiter, L., et al. (2013) · Nature · doi:10.1038/nature11835 · Cited by 318 · see citing works
Abbatiello, S. E., Schilling, B., Mani, D. R., Zimmerman, L. J., Hall, S. C., MacLean, B., Albertolle, M., Allen, S., Burgess, M., Cusack, M. P., et al. (2015) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m114.047050 · Cited by 215 · see citing works
Applications of targeted proteomics in systems biology and translational medicine
Ebhardt, H. A., Root, A., Sander, C., & Aebersold, R. (2015) · PROTEOMICS · doi:10.1002/pmic.201500004 · Cited by 184 · see citing works
Prakash, A., Tomazela, D. M., Frewen, B., MacLean, B., Merrihew, G., Peterman, S., & MacCoss, M. J. (2009) · Journal of Proteome Research · doi:10.1021/pr801028b · Cited by 147 · see citing works
Proteomic analysis of human follicular fluid from fertile women
Zamah, A. M., Hassis, M. E., Albertolle, M. E., & Williams, K. E. (2015) · Clinical Proteomics · doi:10.1186/s12014-015-9077-6 · Cited by 132 · see citing works
The Revolution and Evolution of Shotgun Proteomics for Large-Scale Proteome Analysis
Yates, J. R. (2013) · Journal of the American Chemical Society · doi:10.1021/ja3094313 · Cited by 131 · see citing works
van den Broek, I., Romijn, F. P. H. T. M., Nouta, J., van der Laarse, A., Drijfhout, J. W., Smit, N. P. M., van der Burgt, Y. E. M., & Cobbaert, C. M. (2016) · Clinical Chemistry · doi:10.1373/clinchem.2015.246702 · Cited by 105 · see citing works
Lassman, M. E., McLaughlin, T. M., Somers, E. P., Stefanni, A. C., Chen, Z., Murphy, B. A., Bierilo, K. K., Flattery, A. M., Wong, K. K., Castro‐Perez, J. M., et al. (2012) · Rapid Communications in Mass Spectrometry · doi:10.1002/rcm.5296 · Cited by 51 · see citing works
Proteins and Proteoforms: New Separation Challenges
Regnier, F. E., & Kim, J. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.7b05007 · Cited by 36 · see citing works
Han, S.-H., Kim, J. S., Lee, Y., Choi, H., Kim, J.-W., Na, D. L., Yang, E. G., Yu, M.-H., Hwang, D., Lee, C., et al. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.028639 · Cited by 29 · see citing works
- Authors
- Anderson, L., & Hunter, C. L.
- Corresponding author
- Anderson, Leigh
- ORCID
- Hunter, Christie L.
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2006-04
- Volume
- 5
- Issue
- 4
- Pages
- 573-588
- ISSN
- 1535-9476 (ISSN-L)
- OpenAlex
- W2056467018
- Cited by
- 1,230
- References
- 1
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 19 · 2023: 13 · 2022: 14 · 2021: 15 · 2020: 17 · 2019: 28 · 2018: 41 · 2017: 57 · 2016: 63 · 2015: 70 · 2014: 93 · 2013: 124 · 2012: 139
- FWCI
- 25.04
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Molecular & Cellular Proteomics (publishedVersion, cc-by)
- PubMed (publishedVersion)
- 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
- plasma proteins, multiple reaction monitoring, quantitative proteomics, high-abundance protein depletion, L-selectin, tryptic peptides, biomarker validation, peptide enrichment, LC-MS/MS method development
- MeSH terms
- Amino Acid Sequence, Blood Proteins, Chromatography, Liquid, Humans, Molecular Sequence Data, Peptide Mapping, Reference Standards, Sensitivity and Specificity, Reproducibility of Results, Spectrometry, Mass, Electrospray Ionization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review