Single cell derived mRNA signals across human kidney tumors - fetal kidney cells

Main

Cell Metadata

CD4-positive, alpha-beta T cell

Ontology Term: CD4-positive, alpha-beta T cellCL:0000624
SynonymsTerms that have the same, or nearly the same, meaning as the selected cell type.: CD4-positive, alpha-beta T-cell, CD4-positive, alpha-beta T lymphocyte, CD4-positive, alpha-beta T-lymphocyte
CategoryClass of which the cell type is a subclass.: mature alpha-beta T cellCL:0000791
Marker Gene EvidenceGene markers used by researcher to assign this cell annotation.: unknown
Canonical Marker Genes: unknown
Rationale: NA

Set of Labels Description: Fetal kidney reference created by combining previously generated and newly generated human fetal kidney single cell data.
Annotation Method: both
Algorithm Name: Calculated a predicted similarity for each cell in the combined fetal kidney data using logistic regression models, see methods and supplementary software sections: https://doi.org/10.1038/s41467-021-23949-5
Algorithm Version: v1
Algorithm URL: https://doi.org/10.1038/s41467-021-23949-5
Annotation Transfer Reference: 10.1371/journal.pbio.3000152
Annotation Transfer Description: Single-cell transcriptomics study of the human fetal kidney that identified 22 cell types and a host of marker genes.

Ontology Term: CD4-positive, alpha-beta T cellCL:0000624
SynonymsTerms that have the same, or nearly the same, meaning as the selected cell type.: CD4-positive, alpha-beta T-cell, CD4-positive, alpha-beta T lymphocyte, CD4-positive, alpha-beta T-lymphocyte
CategoryClass of which the cell type is a subclass.: mature alpha-beta T cellCL:0000791
Marker Gene EvidenceGene markers used by researcher to assign this cell annotation.: unknown
Canonical Marker Genes: unknown
Rationale: NA

Set of Labels Description: Fetal kidney reference created by combining previously generated and newly generated human fetal kidney single cell data.
Annotation Method: both
Algorithm Name: Calculated a predicted similarity for each cell in the combined fetal kidney data using logistic regression models, see methods and supplementary software sections: https://doi.org/10.1038/s41467-021-23949-5
Algorithm Version: v1
Algorithm URL: https://doi.org/10.1038/s41467-021-23949-5
Annotation Transfer Reference: 10.1371/journal.pbio.3000152
Annotation Transfer Description: Single-cell transcriptomics study of the human fetal kidney that identified 22 cell types and a host of marker genes.