Literature DB >> 22559202

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

Victor P Andreev1, Vladislav A Petyuk, Heather M Brewer, Yuliya V Karpievitch, Fang Xie, Jennifer Clarke, David Camp, Richard D Smith, Andrew P Lieberman, Roger L Albin, Zafar Nawaz, Jimmy El Hokayem, Amanda J Myers.   

Abstract

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.

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Year:  2012        PMID: 22559202      PMCID: PMC3445701          DOI: 10.1021/pr3001546

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  84 in total

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2.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.

Authors:  Daniel Falush; Matthew Stephens; Jonathan K Pritchard
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3.  Spatial mapping of protein abundances in the mouse brain by voxelation integrated with high-throughput liquid chromatography-mass spectrometry.

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Authors:  Vladislav A Petyuk; Anoop M Mayampurath; Matthew E Monroe; Ashoka D Polpitiya; Samuel O Purvine; Gordon A Anderson; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2009-12-17       Impact factor: 5.911

5.  Heritability for Alzheimer's disease: the study of dementia in Swedish twins.

Authors:  M Gatz; N L Pedersen; S Berg; B Johansson; K Johansson; J A Mortimer; S F Posner; M Viitanen; B Winblad; A Ahlbom
Journal:  J Gerontol A Biol Sci Med Sci       Date:  1997-03       Impact factor: 6.053

6.  Alzheimer's disease: mRNA expression profiles of multiple patients show alterations of genes involved with calcium signaling.

Authors:  L Emilsson; P Saetre; E Jazin
Journal:  Neurobiol Dis       Date:  2005-10-27       Impact factor: 5.996

7.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

8.  Mapping protein abundance patterns in the brain using voxelation combined with liquid chromatography and mass spectrometry.

Authors:  Vladislav A Petyuk; Wei-Jun Qian; Richard D Smith; Desmond J Smith
Journal:  Methods       Date:  2009-08-03       Impact factor: 3.608

9.  Proteomics analysis reveals novel components in the detergent-insoluble subproteome in Alzheimer's disease.

Authors:  Yair M Gozal; Duc M Duong; Marla Gearing; Dongmei Cheng; John J Hanfelt; Christopher Funderburk; Junmin Peng; James J Lah; Allan I Levey
Journal:  J Proteome Res       Date:  2009-11       Impact factor: 4.466

10.  Redox proteomic identification of 4-hydroxy-2-nonenal-modified brain proteins in amnestic mild cognitive impairment: insight into the role of lipid peroxidation in the progression and pathogenesis of Alzheimer's disease.

Authors:  Tanea Reed; Marzia Perluigi; Rukhsana Sultana; William M Pierce; Jon B Klein; Delano M Turner; Raffaella Coccia; William R Markesbery; D Allan Butterfield
Journal:  Neurobiol Dis       Date:  2008-01-05       Impact factor: 5.996

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  64 in total

1.  Targeted Quantitative Proteomic Approach for High-Throughput Quantitative Profiling of Small GTPases in Brain Tissues of Alzheimer's Disease Patients.

Authors:  Ming Huang; Martin Darvas; C Dirk Keene; Yinsheng Wang
Journal:  Anal Chem       Date:  2019-09-10       Impact factor: 6.986

Review 2.  Recent advances in quantitative neuroproteomics.

Authors:  George E Craft; Anshu Chen; Angus C Nairn
Journal:  Methods       Date:  2013-04-25       Impact factor: 3.608

3.  Sample multiplexing with cysteine-selective approaches: cysDML and cPILOT.

Authors:  Liqing Gu; Adam R Evans; Renã A S Robinson
Journal:  J Am Soc Mass Spectrom       Date:  2015-01-15       Impact factor: 3.109

4.  Proteomic Atlas of the Human Brain in Alzheimer's Disease.

Authors:  Justin McKetney; Rosalyn M Runde; Alexander S Hebert; Shahriar Salamat; Subhojit Roy; Joshua J Coon
Journal:  J Proteome Res       Date:  2019-02-20       Impact factor: 4.466

5.  Proteomic identification of select protein variants of the SNARE interactome associated with cognitive reserve in a large community sample.

Authors:  Alfredo Ramos-Miguel; Andrea A Jones; Vladislav A Petyuk; Vilte E Barakauskas; Alasdair M Barr; Sue E Leurgans; Philip L De Jager; Kaitlin B Casaletto; Julie A Schneider; David A Bennett; William G Honer
Journal:  Acta Neuropathol       Date:  2021-03-01       Impact factor: 17.088

Review 6.  Extracellular matrix proteomics in schizophrenia and Alzheimer's disease.

Authors:  Manveen K Sethi; Joseph Zaia
Journal:  Anal Bioanal Chem       Date:  2016-09-06       Impact factor: 4.142

Review 7.  New insight into neurodegeneration: the role of proteomics.

Authors:  Ramavati Pal; Guido Alves; Jan Petter Larsen; Simon Geir Møller
Journal:  Mol Neurobiol       Date:  2013-12-10       Impact factor: 5.590

8.  Sources of technical variability in quantitative LC-MS proteomics: human brain tissue sample analysis.

Authors:  Paul D Piehowski; Vladislav A Petyuk; Daniel J Orton; Fang Xie; Ronald J Moore; Manuel Ramirez-Restrepo; Anzhelika Engel; Andrew P Lieberman; Roger L Albin; David G Camp; Richard D Smith; Amanda J Myers
Journal:  J Proteome Res       Date:  2013-04-10       Impact factor: 4.466

9.  Targeted brain proteomics uncover multiple pathways to Alzheimer's dementia.

Authors:  Lei Yu; Vladislav A Petyuk; Chris Gaiteri; Sara Mostafavi; Tracy Young-Pearse; Raj C Shah; Aron S Buchman; Julie A Schneider; Paul D Piehowski; Ryan L Sontag; Thomas L Fillmore; Tujin Shi; Richard D Smith; Philip L De Jager; David A Bennett
Journal:  Ann Neurol       Date:  2018-07-03       Impact factor: 10.422

Review 10.  Neurodegeneration and Alzheimer's disease (AD). What Can Proteomics Tell Us About the Alzheimer's Brain?

Authors:  Guillermo Moya-Alvarado; Noga Gershoni-Emek; Eran Perlson; Francisca C Bronfman
Journal:  Mol Cell Proteomics       Date:  2015-12-11       Impact factor: 5.911

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