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Label-free quantitative LC−MS Proteomics of Alzheimer's disease and normally aged human brains


Andreev, VP and Petyuk, VA and Brewer, HM and Karpievitch, YV and Xie, F and Clarke, J and Camp, D and Smith, RD and Lieberman, AP and Albin, RL and Nawaz, Z and El Hokayem, J and Myers, AJ, Label-free quantitative LC−MS Proteomics of Alzheimer's disease and normally aged human brains, Journal of Proteome Research, 11, (6) pp. 3053−3067. ISSN 1535-3893 (2012) [Refereed Article]

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Copyright Statement

Copyright 2012 American Chemical Society

DOI: doi:10.1021/pr3001546


Quantitative proteomics analysis of cortical samples of 10 Alzheimer’s disease (AD) brains versus 10 normally aged brains was performed by following the accurate mass and time tag (AMT) approach with the high resolution LTQ Orbitrap mass spectrometer. More than 1400 proteins were identified and quantitated. A conservative approach of selecting only the consensus results of four normalization methods was suggested and used. A total of 197 proteins were shown to be significantly differentially abundant (p-values <0.05, corrected for multiplicity of testing) in AD versus control brain samples. Thirty-seven of these proteins were reported as differentially abundant or modified in AD in previous proteomics and transcriptomics publications. The rest to the best of our knowledge are new. Mapping of the discovered proteins with bioinformatic tools revealed significant enrichment with differentially abundant proteins of pathways and processes known to be important in AD, including signal transduction, regulation of protein phosphorylation, immune response, cytoskeleton organization, lipid metabolism, energy production, and cell death.

Item Details

Item Type:Refereed Article
Keywords:Alzheimer’s disease, brain, cortical samples, proteomics, bioinformatics, normalization
Research Division:Biological Sciences
Research Group:Biochemistry and cell biology
Research Field:Proteomics and intermolecular interactions (excl. medical proteomics)
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Karpievitch, YV (Dr Yuliya Karpievitch)
ID Code:80837
Year Published:2012
Web of Science® Times Cited:98
Deposited By:Mathematics and Physics
Deposited On:2012-11-13
Last Modified:2013-04-03
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