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The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.

A High-Confidence Human Plasma Proteome Reference Set with Estimated Concentrations in PeptideAtlas

Open access
Farrah, Terry, Deutsch, Eric W., Omenn, Gilbert S., Campbell, David S., Sun, Zhi, Bletz, Julie A., Mallick, Parag, Katz, Jonathan E., Malmström, Johan, Ossola, Reto, Watts, Julian D., Lin, Biaoyang, Zhang, Hui, Moritz, Robert L., Aebersold, Ruedi·2011·Molecular & Cellular Proteomics

Abstract

Human blood plasma can be obtained relatively noninvasively and contains proteins from most, if not all, tissues of the body. Therefore, an extensive, quantitative catalog of plasma proteins is an important starting point for the discovery of disease biomarkers. In 2005, we showed that different proteomics measurements using different sample preparation and analysis techniques identify significantly different sets of proteins, and that a comprehensive plasma proteome can be compiled only by combining data from many different experiments. Applying advanced computational methods developed for the analysis and integration of very large and diverse data sets generated by tandem MS measurements of tryptic peptides, we have now compiled a high-confidence human plasma proteome reference set with well over twice the identified proteins of previous high-confidence sets. It includes a hierarchy of protein identifications at different levels of redundancy following a clearly defined scheme, which we propose as a standard that can be applied to any proteomics data set to facilitate cross-proteome analyses. Further, to aid in development of blood-based diagnostics using techniques such as selected reaction monitoring, we provide a rough estimate of protein concentrations using spectral counting. We identified 20,433 distinct peptides, from which we inferred a highly nonredundant set of 1929 protein sequences at a false discovery rate of 1%. We have made this resource available via PeptideAtlas, a large, multiorganism, publicly accessible compendium of peptides identified in tandem MS experiments conducted by laboratories around the world.

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Metadata

Authors
Farrah, T., Deutsch, E. W., Omenn, G. S., Campbell, D. S., Sun, Z., Bletz, J. A., Mallick, P., Katz, J. E., Malmström, J., Ossola, R., Watts, J. D., Lin, B., Zhang, H., Moritz, R. L., & Aebersold, R.
Venue
Molecular & Cellular Proteomics
Publisher
Elsevier BV
Published
2011-09
Volume
10
Issue
9
Pages
M110.006353
ISSN
1535-9476 (ISSN-L)
OpenAlex
W2142286883
Cited by
451
References
67
FWCI
24.21
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: A High-Confidence Human Plasma Proteome Reference Set with Estimated Concentrations in PeptideAtlas. https://app.cochat.ai/papers/10.1074/mcp.m110.006353
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Farrah, T., Deutsch, E. W., Omenn, G. S., Campbell, D. S., Sun, Z., Bletz, J. A., Mallick, P., Katz, J. E., Malmström, J., Ossola, R., Watts, J. D., Lin, B., Zhang, H., Moritz, R. L., & Aebersold, R. (2011). A High-Confidence Human Plasma Proteome Reference Set with Estimated Concentrations in PeptideAtlas. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.m110.006353

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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.