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

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Issue Date
2021-04Author
Khan, Mostafa J.
Desaire, Heather
Lopez, Oscar L.
Kamboh, M. Ilyas
Robinson, Renã A.S.
Publisher
Elsevier
Type
Article
Article Version
Scholarly/refereed, publisher version
Rights
© 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
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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.
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Citation
Khan, M. J., Desaire, H., Lopez, O. L., Ilyas Kamboh, M., & Robinson, R. (2021). Dataset of why inclusion matters for Alzheimer's disease biomarker discovery in plasma. Data in brief, 35, 106923. https://doi.org/10.1016/j.dib.2021.106923
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