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Cited by 290

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Capillary electrophoresis–mass spectrometry as a powerful tool in clinical diagnosis and biomarker discovery

Kolch, Walter, Neusüß, Christian, Pelzing, Matthias, Mischak, Harald·2005·Mass Spectrometry Reviews

Abstract

Proteome analysis is now emerging as key technology for deciphering biological processes and the discovery of biomarkers for diseases from tissues and body fluids. The complexity and wide dynamic range of protein expression poses a formidable challenge to both peptide separation technologies and mass spectrometry (MS). Here we review the efforts that have been undertaken to date, focussing on capillary electrophoresis coupled to mass spectrometry (CE‐MS). We discuss CE‐MS from an application point of view evaluating its merits and vices in regard to biomarker discovery and clinical applications. As examples, we present the use of CE‐MS for the determination of protein patterns in urine, serum, and other body fluids. Finally, the benefits and limitations of CE‐MS for the analysis of proteins in clinical samples are discussed against the background of alternative technologies. © 2005 Wiley Periodicals, Inc., Mass Spec Rev 24:959–977, 2005

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Metadata

Authors
Kolch, W., Neusüß, C., Pelzing, M., & Mischak, H.
Venue
Mass Spectrometry Reviews
Publisher
Wiley
Published
2005-03-03
Volume
24
Issue
6
Pages
959-977
ISSN
  • 0277-7037 (ISSN-L)
  • 1098-2787
OpenAlex
W2142067231
Cited by
290
References
1
FWCI
13.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Capillary electrophoresis–mass spectrometry as a powerful tool in clinical diagnosis and biomarker discovery. https://app.cochat.ai/papers/10.1002/mas.20051
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Kolch, W., Neusüß, C., Pelzing, M., & Mischak, H. (2005). Capillary electrophoresis–mass spectrometry as a powerful tool in clinical diagnosis and biomarker discovery. Mass Spectrometry Reviews. https://doi.org/10.1002/mas.20051

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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.