Article pubs.acs.org/jpr
Label-Free Quantitative LC−MS Proteomics of Alzheimer’s Disease and Normally Aged Human Brains Victor P. Andreev,*,†,‡,§ 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,§ and Amanda J. Myers†,▽,○ †
Department of Psychiatry and Behavioral Sciences, §Department of Biochemistry and Molecular Biology, ⊥Department of Epidemiology and Public Health, ▽Division of Neuroscience, and ○Department of Human Genetics and Genomics, University of Miami Miller School of Medicine, Miami, Florida, United States ‡ Center for Computational Sciences, University of Miami, Miami, Florida, United States ∥ Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States ¶ Department of Pathology and #Department of Neurology, University of Michigan, Ann Arbor, Michigan, United States + Geriatrics Research, Education, and Clinical Center, VAAAHS, Ann Arbor, Michigan, United States S Supporting Information *
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
