Cell Annotation Platform
v1
Single-cell multi-omics analysis of the immune response in COVID-19
Single-cell multi-omics analysis of the immune response in COVID-19
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Single-cell multi-omics analysis of the immune response in COVID-19
cell_type
Single-cell transcriptome analysis of over 780,000 peripheral blood mononuclear cells from a cross-sectional cohort of 130 patients with varying severities of COVID-19
Annotation method
both
Algorithm
Azimuth v1
Annotation Transfer Reference
NA
Cell Relationships
The dataset includes only one labelset.
We can't show any relationships.
Summary
Cell Labels
cell_type
CD14-positive monocyte
CD16-positive, CD56-dim natural killer cell, human
naive thymus-derived CD4-positive, alpha-beta T cell
effector CD8-positive, alpha-beta T cell
central memory CD4-positive, alpha-beta T cell
naive B cell
naive thymus-derived CD8-positive, alpha-beta T cell
mature NK T cell
effector memory CD8-positive, alpha-beta T cell
T-helper 22 cell
gamma-delta T cell
platelet
T follicular helper cell
mucosal invariant T cell
CD16-negative, CD56-bright natural killer cell, human
class switched memory B cell
immature B cell
natural killer cell
plasmacytoid dendritic cell
CD14-low, CD16-positive monocyte
plasmablast
IgG plasma cell
dendritic cell, human
unswitched memory B cell
myeloid dendritic cell
B cell
IgA plasma cell
effector memory CD4-positive, alpha-beta T cell
malignant cell
CD34-positive, CD38-negative hematopoietic stem cell
erythrocyte
CD8-positive, alpha-beta T cell
IgM plasma cell
ILC1, human
erythroid progenitor cell, mammalian
monocyte
CD4-positive, alpha-beta T cell
dendritic cell
T-helper 1 cell
regulatory T cell
hematopoietic precursor cell
group 2 innate lymphoid cell, human
T-helper 2 cell
megakaryocyte
myeloid lineage restricted progenitor cell
T-helper 17 cell
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Molecular Data