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
Main
Summary
Feedback Received
Cell Metadata
cell_type
effector memory CD8-positive, alpha-beta T cell
Ontology Term
effector memory CD8-positive, alpha-beta T cell
CL:0000913
Synonyms
Terms that have the same, or nearly the same, meaning as the selected cell type.
effector memory CD8-positive, alpha-beta T-cell, effector memory CD8+ T cell, effector memory CD8-positive, alpha-beta T-lymphocyte, effector memory CD8-positive, alpha-beta T lymphocyte, effector CD8-positive, alpha-beta memory T-cell, effector CD8-positive, alpha-beta memory T cell, effector CD8-positive, alpha-beta memory T lymphocyte, effector CD8-positive, alpha-beta memory T-lymphocyte
Category
Class of which the cell type is a subclass.
CD4-positive, alpha-beta memory T cell, CD45RO-positive
CL:0001204
Marker Gene Evidence
Gene markers used by researcher to assign this cell annotation.
unknown
Canonical Marker Genes
unknown
Rationale
NA
Inherited from cell_type
Set of Labels Description
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 Name
Azimuth
Algorithm Version
v1
Algorithm URL
https://azimuth.hubmapconsortium.org/
Molecular Data
