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Cited by 160

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Mass Spectrometry–Based Biomarker Discovery: Toward a Global Proteome Index of Individuality

Open access
Hawkridge, Adam M., Muddiman, David C.·2009·Annual Review of Analytical Chemistry

Abstract

Biomarker discovery and proteomics have become synonymous with mass spectrometry in recent years. Although this conflation is an injustice to the many essential biomolecular techniques widely used in biomarker-discovery platforms, it underscores the power and potential of contemporary mass spectrometry. Numerous novel and powerful technologies have been developed around mass spectrometry, proteomics, and biomarker discovery over the past 20 years to globally study complex proteomes (e.g., plasma). However, very few large-scale longitudinal studies have been carried out using these platforms to establish the analytical variability relative to true biological variability. The purpose of this review is not to cover exhaustively the applications of mass spectrometry to biomarker discovery, but rather to discuss the analytical methods and strategies that have been developed for mass spectrometry–based biomarker-discovery platforms and to place them in the context of the many challenges and opportunities yet to be addressed.

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Crossref · 10.1146/annurev.anchem.1.031207.112942

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Metadata

Authors
Hawkridge, A. M., & Muddiman, D. C.
Venue
Annual Review of Analytical Chemistry
Published
2009-07-19
Volume
2
Issue
1
Pages
265-277
ISSN
  • 1936-1327 (ISSN-L)
  • 1936-1335
OpenAlex
W2147562834
Cited by
160
References
2
FWCI
0.62
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mass Spectrometry–Based Biomarker Discovery: Toward a Global Proteome Index of Individuality. https://app.cochat.ai/papers/10.1146/annurev.anchem.1.031207.112942
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Hawkridge, A. M., & Muddiman, D. C. (2009). Mass Spectrometry–Based Biomarker Discovery: Toward a Global Proteome Index of Individuality. Annual Review of Analytical Chemistry. https://doi.org/10.1146/annurev.anchem.1.031207.112942

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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.