COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas

Basic information
Cell
1,399,186
Sample
249

Technology
10X Genomics
Omics
scRNA-seq
Source
PBMCs

Dataset ID
33657410
Platform
NovaSeq 6000,DNBSEQ-G400
Species
Human
Disease
COVID-19,Healthy
Age range
6 - 92
Update date
2021-04-01
Summary

A dysfunctional immune response in coronavirus disease 2019 (COVID-19) patients is a recurrent theme impacting symptoms and mortality, yet a detailed understanding of pertinent immune cells is not complete. We applied single-cell RNA sequencing to 284 samples from 196 COVID-19 patients and controls and created a comprehensive immune landscape with 1.46 million cells. The large dataset enabled us to identify that different peripheral immune subtype changes are associated with distinct clinical features, including age, sex, severity, and disease stages of COVID-19. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was found in diverse epithelial and immune cell types, accompanied by dramatic transcriptomic changes within virus-positive cells. Systemic upregulation of S100A8/A9, mainly by megakaryocytes and monocytes in the peripheral blood, may contribute to the cytokine storms frequently observed in severe patients. Our data provide a rich resource for understanding the pathogenesis of and developing effective therapeutic strategies for COVID-19.

Overall design

Multiple types of tissues from healthy individuals and COVID-19 patients were collected to obtain single cells and were subjected to sequencing.

Contributors

To be supplemented.

Contact

To be supplemented.

snRNA-Seq
Sample nameSample titleDiseaseGenderAgeSourceTreatmentTechnologyPlatformOmicsSample IDDataset IDAction
No data available