Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients
收藏NIAID Data Ecosystem2026-03-12 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE158055
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We profiled scRNA-seq of 284 samples collected from 196 individuals, including 22 patients with mild/moderate symptoms, 54 hospitalized patients with severe symptoms, and 95 recovered convalescent persons, as well as 25 healthy controls. The samples were obtained from various tissue types, including human peripheral blood mononuclear cells (249), bronchoalveolar lavage fluid (12) and pleural pleural effusion (1)/sputum (22). Multiple types of tissues from healthy individuals and COVID-19 patients were collected to obtain single cells and were subjected to sequencing. ***The GEO records contain only processed data (raw counts in sparse matrix format) as raw data is unavailable due to patient privacy concerns. [Web link]: This integrated h5 file includes raw counts, normalized data, dimension reduction matrix, et al. which would be convenient for other researchers.
创建时间:
2021-06-03



