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关于纳入因素对血浆中阿尔茨海默病生物标志物发现为何重要的数据集。

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

作者信息

Khan Mostafa J, Desaire Heather, Lopez Oscar L, Ilyas Kamboh M, Robinson Renã A S

机构信息

Department of Chemistry, Vanderbilt University, 5423 Stevenson Center, Nashville, TN 37235, United States.

Department of Chemistry, University of Kansas, Lawrence, KS 66045, United States.

出版信息

Data Brief. 2021 Mar 1;35:106923. doi: 10.1016/j.dib.2021.106923. eCollection 2021 Apr.

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 & MS) 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.

摘要

在此,我们展示了一个血浆蛋白质组学数据集,该数据集旨在了解自我报告的种族对于阿尔茨海默病生物标志物发现的重要性。此数据集与文章《为何纳入因素对血浆中阿尔茨海默病生物标志物发现至关重要》[1]相关。血浆样本取自临床诊断为阿尔茨海默病以及认知正常的非裔美国/黑人与非西班牙裔白人种族和族裔背景的成年人。血浆经过免疫去除、消化,并用商业试剂进行等压标记。标记后的肽段通过高pH分级分离,所得级分在Orbitrap Fusion Lumos质谱仪上进行液相色谱 - 质谱(LC-MS/MS & MS)分析。所得数据使用Proteome Discoverer进行处理,以生成含有相应串联质量标签(TMT)强度信息的已鉴定蛋白质列表。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/352d/7988280/3e605d7d339c/gr1.jpg

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