Identification of Distinct Immune Cell Subsets Associated With Asymptomatic Infection, Disease Severity, and Viral Persistence in COVID-19 Patients

Basic information
Cell
222,457
Sample
53

Technology
10X Genomics
Omics
scRNA-seq
Source
PBMCs

Dataset ID
35281000
Platform
Illumina NovaSeq 6000
Species
Human
Disease
COVID-19,Healthy
Age range
20 - 85
Update date
2022-02-22
Summary

The cell-mediated protective and pathogenic immune responses to SARS-CoV-2 infection remain largely elusive. Here we identified 76 distinct cell subsets in the PBMC samples that were associated with various clinical presentations of COVID-19 using scRNA-seq technology coupled with a deep and comprehensive analysis of unique cell surface markers and differentially expressed genes. We revealed that (TRAV1-2+CD8+)MAIT cells and (NCAM1hiCD160+)NK cells significantly enriched in the asymptomatic subjects whereas (LAG3+CD160+CD8+)NKT cells increased in the symptomatic patients. We also observed that (CD68-CSF1R-IL1BhiCD14+)classical monocytes were positively correlated with the disease severity. Moreover, (CD33-HLA-DMA-CD14+)classical monocytes and (CLEC10A-S100A9lo)pDC were associated with the viral persistence. The GO and KEGG analyses identified enriched pathways related to immune responses, inflammation, and apoptosis. These findings may enhance our understanding of the immunopathogenesis of COVID-19 and help develop novel strategies against SARS-CoV-2 infection.

Overall design

53 peripheral blood mono-nuclear cell (PBMC) samples including 42 COVID-19 patients derived samples and 11 healthy controls (HCs) derived samples

Contributors

Xiaorui Wang†, Han Bai†, Junpeng Ma†, Hongyu Qin†, Qiqi Zeng†, Fang Hu†, Tingting Jiang†, Weikang Mao†, Binghong Zhang✉️, Bingyin Shi✉️, Chengsheng Zhang✉️

Contact

zbhong6288@163.com (Binghong Zhang), shibingy@126.com (Bingyin Shi), cszhang99@126.com (Chengsheng Zhang)

snRNA-Seq
Sample nameSample titleDiseaseGenderAgeSourceTreatmentTechnologyPlatformOmicsSample IDDataset IDAction
No data available