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Serum protein fingerprinting.

Authors: Timothy D, Veenstra; Thomas P, Conrads;

Serum protein fingerprinting.

Abstract

The core technologies in the rapidly expanding field of proteomics have matured to the point where quantitative measurements of thousands of proteins can be conducted, enabling truly global measurements of protein expression. This advent has brought with it the hope of discovering novel biomarkers that promise a renaissance in clinical medicine. To meet this need, many proteomic studies have focused on the identification and subsequent comparative analysis of the thousands of proteins that populate complex biological systems such as serum and tissues. A novel application of mass spectrometry has been in proteomic pattern analysis, which has emerged as an effective method for the early diagnosis of diseases. In stark contrast to 'classical' proteomics, proteomic pattern analysis relies on the pattern of proteins observed, rather than on the discrete identification of a protein. Proteomic pattern technology allows hundreds of clinical samples to be analyzed per day and promises to be a novel, highly sensitive predictive clinical tool to improve diagnostic and prognostic medicine.

Related Organizations
Keywords

Male, Proteomics, Molecular Diagnostic Techniques, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Protein Array Analysis, Humans, Prostatic Neoplasms, Blood Proteins, Peptide Mapping

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Top 10%
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