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Longitudinal single-cell multiomics data for different severity of COVID-19

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE196198
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To trace immune responses in COVID-19 patients with severity, we performed in-depth, longitudinal single-cell multiomics involving T-cell receptor (TCR)/B-cell receptor (BCR) sequencing, feature barcoded antibody (Ab) panel detection (i.e., cellular indexing of transcriptomes and epitopes by sequencing, CITE-seq) followed by RNA sequencing in a single-cell resolution. We collected PBMCs from 25 samples in 9 patients with different severity of COVID-19, consisting of two asymptomatic, two mild, five severe patients and two healthy individual.
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2025-04-28
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