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Cited by 220

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Comprehensive Label-Free Method for the Relative Quantification of Proteins from Biological Samples

Higgs, Richard E., Knierman, Michael D., Gelfanova, Valentina, Butler, Jon P., Hale, John E.·2005·Journal of Proteome Research

Abstract

Pharmaceutical companies and regulatory agencies are broadly pursuing biomarkers as a means to increase the productivity of drug development. Quantifying differential levels of proteins from complex biological samples such as plasma or cerebrospinal fluid is one specific approach being used to identify markers of drug action, efficacy, toxicity, etc. We have developed a comprehensive, fully automated, and label-free approach to relative protein quantification from LC-MS/MS experiments of proteolytic protein digests including: de-noising, mass and charge state estimation, chromatographic alignment, and peptide quantification via integration of extracted ion chromatograms. Results from a variance components study of the entire method indicate that most of the variability is attributable to the LC-MS injection, with a median peptide LC-MS injection coefficient of variation of 8% on a ThermoFinnigan LTQ mass spectrometer. Spiked recovery results suggest a quantifiable range of approximately 32-fold for a sample protein.

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Crossref · 10.1021/pr050109b

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Metadata

Authors
Higgs, R. E., Knierman, M. D., Gelfanova, V., Butler, J. P., & Hale, J. E.
Venue
Journal of Proteome Research
Published
2005-06-24
Volume
4
Issue
4
Pages
1442-1450
ISSN
  • 1535-3893 (ISSN-L)
  • 1535-3907
OpenAlex
W2006806744
Cited by
220
References
1
FWCI
10.12
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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