NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE165080 Query DataSets for GSE165080
Status Public on Feb 17, 2022
Title Identification of distinct immune cell subsets associated with various clinical presentations, disease severity and viral persistence of SARS-CoV-2 infection
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The clinical presentations and outcomes of SARS-CoV-2 infection are highly variable, ranging from asymptomatic infections to severe conditions, and the underlying mechanisms remain largely unknown. In this study, we performed the single-cell RNA sequencing to examine the profiles of the peripheral blood mononuclear cells (PBMCs) from the healthy controls (HC), asymptomatic individuals (AS) and symptomatic COVID-19 patients (SM) with various clinical features and disease severity. We first identified nine major cell types, including T cells, B cells, monocytes, natural killer (NK) cells, dendritic cells (DC), platelets, neutrophils, plasma cells and stem cells from a total of 119,799 single cells captured and filtered for the final analysis, and then divided these cell types into separate cell clusters and sub-clusters, respectively. We revealed that SARS-CoV-2 infection resulted in profound alternations in various cellular compartments and identified a number of distinct immune cell subsets that were associated with various clinical presentations, disease severity and viral persistence of COVID-19. (NCAM1+CD160+) NK cells increased significantly in AS and SM individuals compared with the HC. SM patients showed a significant increase in (LAG3+CD160+CD8+) NKT cells and a decrease in (CD4-CD8-) double negative T cells compared with the AS subjects. (CD68-CSF1R-IL1BhiCD14+) classical monocytes were significantly higher in patients with severe disease (SD) than the patients with moderate disease (MD). (CD68-CSF1R-IL1BhiCD14+) classical monocytes and (CLEC10A-S100A9lo)pDC were positively and negatively correlated with the age-related disease severity of COVID-19 patients, respectively. Increases in (CD33-HLA-DMA-CD14+) classical monocytes and (CLEC10A-S100A9lo)pDC were associated with long-term nucleic acid test positive (LTNP) patients compared with the short-term nucleic acid test positive (STNP) individuals. Increases in (LAG3+CD160+CD8+) NKTcells and (FOXP3+IL2RA+IL7R+CD4+) Treg cells were observed in a patient lacking B cells and plasma cells. Dramatic increases in neutrophils, (CD33-HLA-DMA-CD14+) classical monocytes, and (CD68-CSF1R-IL1BhiCD14+) classical monocytes were detected at a later stage of a fatal patient. Our findings may enhance our understanding of the immune cell alternations involved in the pathogenesis of COVID-19 and the protective immune responses 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
 
Contributor(s) Zhang C
Citation(s) 35281000, 35716403, 36055412
https://doi.org/10.1016/j.bcmd.2022.102678
Submission date Jan 19, 2021
Last update date Sep 15, 2022
Contact name chengsheng zhang
E-mail(s) cszhang99@126.com
Organization name First Affiliated Hospital of Xi 'an Jiaotong University
Department precision medicine center
Street address 277 West Yanta Road, Xi'an, Shaanxi, P.R.China
City Xian
State/province Shaanxi
ZIP/Postal code 710061
Country China
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (53)
GSM5025728 COV144
GSM5025729 COV146
GSM5025730 COV147
Relations
BioProject PRJNA693201
SRA SRP302338

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE165080_barcodes.tsv.gz 910.7 Kb (ftp)(http) TSV
GSE165080_cell_batch.tsv.gz 1.0 Mb (ftp)(http) TSV
GSE165080_genes.tsv.gz 445.8 Kb (ftp)(http) TSV
GSE165080_matrix.mtx.gz 1.0 Gb (ftp)(http) MTX
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap