The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The Clinical Plasma Proteome: A Survey of Clinical Assays for Proteins in Plasma and Serum
Abstract
An analysis of all US Food and Drug Administration (FDA) approvals for protein-based assays through 2008 reveals 109 unique protein targets in plasma or serum, as well as 62 additional tests for peptides, protein posttranslational modifications, protein complexes, autoantibodies against endogenous proteins, and blood cell proteins. A further 96 unique protein targets are assayed in plasma by laboratory-developed tests available for clinical use in the US, yielding a total of 205 proteins that include products of approximately 211 genes (excluding immunoglobulins). These tests provide quantitative measurements for approximately 1% of the human protein gene products, defining a practical clinical plasma proteome. The rate of introduction of new protein analytes has remained essentially flat over the past 15 years, averaging 1.5 new proteins per year (median of 1 per year). This rate falls far short of that needed to support projected medical needs and indicates serious deficiencies in the protein biomarker pipeline, from which no proteomics-discovered analytes have yet emerged.
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Cites
Anderson, N. L., & Anderson, N. G. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r200007-mcp200 · Cited by 4,414
Self-citationImmunoassay of endogenous plasma insulin in man
Yalow, R. S., & Berson, S. A. (1960) · Journal of Clinical Investigation · doi:10.1172/jci104130 · Cited by 3,041
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
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
Self-citationDistinguishing protein-coding and noncoding genes in the human genome
Clamp, M., Fry, B., Kamal, M., Xie, X., Cuff, J., Lin, M. F., Kellis, M., Lindblad-Toh, K., & Lander, E. S. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709013104 · Cited by 624
Cited by
Protein Analysis by Shotgun/Bottom-up Proteomics
Zhang, Y., Fonslow, B. R., Shan, B., Baek, M.-C., & Yates, J. R. (2013) · Chemical Reviews · doi:10.1021/cr3003533 · Cited by 1,491
Biomedical research: increasing value, reducing waste.
Macleod, M. R., Michie, S., Roberts, I., Dirnagl, U., Chalmers, I., Ioannidis, J. P. A., Salman, R. A.-S., Chan, A.-W., & Glasziou, P. (2014) · The Lancet · doi:10.1016/s0140-6736(13)62329-6 · Cited by 1,003
Revisiting biomarker discovery by plasma proteomics
Geyer, P. E., Holdt, L. M., Teupser, D., & Mann, M. (2017) · Molecular Systems Biology · doi:10.15252/msb.20156297 · Cited by 917
Plasma Proteome Profiling to Assess Human Health and Disease
Geyer, P. E., Kulak, N. A., Pichler, G., Holdt, L. M., Teupser, D., & Mann, M. (2016) · Cell Systems · doi:10.1016/j.cels.2016.02.015 · Cited by 734
High-Resolution Native Mass Spectrometry
Tamara, S., den Boer, M. A., & Heck, A. J. R. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00212 · Cited by 511
Metadata
- Authors
- Anderson, N. L.
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-02-01
- Volume
- 56
- Issue
- 2
- Pages
- 177-185
- ISSN
- 0009-9147 (ISSN-L)
- 1530-8561
- OpenAlex
- W2160061958
- Cited by
- 562
- References
- 5
- FWCI
- 14.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- Anderson, N. L. (2010). The Clinical Plasma Proteome: A Survey of Clinical Assays for Proteins in Plasma and Serum. Clinical Chemistry. https://doi.org/10.1373/clinchem.2009.126706
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
