Flow cytometry data (2) from: Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity, Potts et al.

Full associated publication: 'Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity', Potts et al (2023). Raw 18-colour flow cytometry data characterising PBMC derived from cohort of 36 donors, including healthy controls and individuals infected with SARS-CoV-2. Data were utilised to validate upregulation of the markers CEACAM1, CEACAM6, CEACAM8, CD177, CD63 and CD89 in severe COVID-19 and phenotype immune cell populations upregulating these markers. Flow cytometry data were collected over 3 seaparate experiments on a Cytek Aurora spectral flow cytometer and are provided as unmixed and unprocessed .fcs files from the second experiment. These data can be analysed using the widely used FlowJo analysis software. Each data file is titled with indicators for the donor ID (CVXXXX) and whether the sample was stained with the antibody cocktail or left as an unstained control. Full metadata for each donor can be found in the associated publication.完整关联科研出版物：《循环免疫细胞蛋白质组学分析可识别与COVID-19重症程度相关的细胞表型》，作者为Potts等（2023年）。本数据集包含来自36名供体队列的外周血单个核细胞（Peripheral Blood Mononuclear Cells, PBMC）的18色流式细胞术原始数据，供体群体涵盖健康对照个体与感染严重急性呼吸综合征冠状病毒2（SARS-CoV-2）的感染者。本数据被用于验证重症COVID-19患者体内CEACAM1、CEACAM6、CEACAM8、CD177、CD63及CD89标志物的上调表达情况，并解析表达上述标志物的免疫细胞群体表型。 流式细胞术数据于Cytek Aurora光谱流式细胞仪上通过3次独立实验采集，本次公开的为第二次实验中未解混且未预处理的.fcs文件。该数据集可通过当前广泛使用的FlowJo分析软件开展后续分析。每份数据文件的文件名包含供体ID（格式为CVXXXX），以及样本是否经抗体鸡尾酒（antibody cocktail）染色剂染色的标识，未染色对照样本亦包含在内。每名供体的完整元数据可在上述关联科研出版物中查阅获取。