遇见数据集

Gene expression data of different SSc subsets

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NIAID Data Ecosystem2026-03-11 收录
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We here used whole blood gene expression profiling to differentiate SSc patients from healthy controls (HC) and to identify a specific gene expression and predictive genes for SSc-overlap syndromes. For each collection, 2,5ml of peripheral whole blood of 150 SSc patients and 40 HC was drawn into 2 PAXGene Blood RNA tubes of PreAnalytiX (Qiagen, BD Company, Hilden, Germany). Gene expression analysis was performed using the Affymetrix Human Genome U219 Chip.

本研究采用全血基因表达谱分析技术,以区分系统性硬化症(Systemic Sclerosis, SSc)患者与健康对照(Healthy Controls, HC),并鉴定出针对SSc重叠综合征的特征性基因表达特征与预测基因。本研究共纳入150名SSc患者与40名健康对照,每例受试者均采集2.5mL外周全血,分装至2支由PreAnalytiX(Qiagen、BD Company,德国希尔德市)生产的PAXgene血液RNA采集管(PAXGene Blood RNA tubes)中。基因表达分析采用Affymetrix Human Genome U219 芯片完成。

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2020-05-17
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