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Dataset of why inclusion matters for Alzheimer's disease biomarker discovery in plasma

Authors :
Mostafa J. Khan
Heather Desaire
Oscar L. Lopez
M. Ilyas Kamboh
Renã A.S. Robinson
Source :
Data in Brief, Vol 35, Iss , Pp 106923- (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Here we present a plasma proteomics dataset that was generated to understand the importance of self-reported race for biomarker discovery in Alzheimer's disease. This dataset is related to the article “Why inclusion matters for Alzheimer's disease biomarker discovery in plasma” [1]. Plasma samples were obtained from clinically diagnosed Alzheimer's disease and cognitively normal adults of African American/Black and non-Hispanic White racial and ethnic backgrounds. Plasma was immunodepleted, digested, and isobarically tagged with commercial reagents. Tagged peptides were fractionated using high pH fractionation and resulting fractions analysed by liquid chromatography – mass spectrometry (LC-MS/MS & MS3) analysis on an Orbitrap Fusion Lumos mass spectrometer. The resulting data was processed using Proteome Discoverer to produce a list of identified proteins with corresponding tandem mass tag (TMT) intensity information.

Details

Language :
English
ISSN :
23523409
Volume :
35
Issue :
106923-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.42d4dfb560fc4769ba23b3b6c15e50b5
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2021.106923