University of Tasmania
Browse

File(s) under permanent embargo

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

journal contribution
posted on 2023-05-17, 14:18 authored by Andreev, VP, Petyuk, VA, Brewer, HM, Karpievitch, YV, Xie, F, Clarke, J, Camp, D, Smith, RD, Lieberman, AP, Albin, RL, Nawaz, Z, El Hokayem, J, Myers, AJ
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.

History

Publication title

Journal of Proteome Research

Volume

11

Issue

6

Pagination

3053−3067

ISSN

1535-3893

Department/School

School of Natural Sciences

Publisher

American Chemical Soc

Place of publication

1155 16Th St, Nw, Washington, USA, Dc, 20036

Rights statement

Copyright 2012 American Chemical Society

Repository Status

  • Restricted

Socio-economic Objectives

Clinical health not elsewhere classified

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC