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PMID: 15133836 Published · ppublish English Journal Article Review

Application of proteomics technologies in the investigation of the brain.

Mass spectrometry reviews ·Vol. 23 ·No. 4 ·2004-00-00 ·Pages 231-58

Fountoulakis M

Abstract

Approximately 30-50% of the genes in mammals are expressed in the nervous system. A differential expression of genes in distinct patterns is necessary for the generation of the large variety of neuronal phenotypes. Proteomic analysis of brain compartments may be useful to understand the complexity, to investigate disorders of the central nervous system, and to search for corresponding early markers. Up to now, proteomics has mainly studied the identity and levels of the abundant human, rat, and mouse brain proteins as well as changes of their levels and the modifications that result from various neurological disorders, like Alzheimer's disease and Down's syndrome in humans and in animal models of those diseases. The proteins, for which altered levels in these disorders have been observed, exert mainly neurotransmission, guidance, and signal-transduction functions, or are involved in detoxification, metabolism, and conformational changes. Some of those proteins may be potential drug targets. Further improvement of proteomics technologies to increase sensitivity and efficiency of detection of certain protein classes is necessary for a more detailed analysis of the brain proteome. In this review, a description of the proteomics technologies applied in the investigation of the brain, the major findings that resulted from their application, and the potential and limitations of the current technologies are discussed.

MeSH Terms
Animals Biomarkers/analysis Brain/metabolism Humans Proteome/analysis Proteomics/methods
Chemicals
Biomarkers Proteome
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Fountoulakis Michael
F. Hoffmann-La Roche Ltd., Center for Medical Genomics, Building 93-444, 4070 Basel, Switzerland. michael.fountoulakis@roche.com
Article Info
Journal
Mass spectrometry reviews
Abbr.
Mass Spectrom Rev
ISSN
0277-7037
Published
2004-00-00
Pages
231-58
Language
English
Region
United States
NLM ID
8219702
Subset
IM
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