HCA Gut Cell Atlas v1 Epithelial Lineage

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Cell Metadata

Transiently Amplifying Cells (TA)

Ontology Term: transit amplifying cellCL:0009010
Synonyms Terms that have the same, or nearly the same, meaning as the selected cell type.: unknown
Category Class of which the cell type is a subclass.: epithelial cellCL:0000066
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: MCM5, TOP2A, CCNA2, PCLAF, HELLS, PCNA, MKI67
Canonical Marker Genes: MKI67, PCNA, MCM5
Rationale: TA are defined as rapidly cycling epithelial progenitors that sit between stem cells and differentiated absorptive, secretory, or defensive cells. Usually defined by a strong cycling signature, we split these into absorptive/secretory/cycling subtypes with weaker lineage specific signatures than their descendants

Set of Labels Description: Cell annotations (Prelim annotation) are based on the finest possible label that could be used to describe each of the ~500 clusters found during integration and subclustering
Annotation Method: algorithmic

Ontology Term: transit amplifying cellCL:0009010
Synonyms Terms that have the same, or nearly the same, meaning as the selected cell type.: unknown
Category Class of which the cell type is a subclass.: epithelial cellCL:0000066
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: MCM5, TOP2A, CCNA2, PCLAF, HELLS, PCNA, MKI67
Canonical Marker Genes: MKI67, PCNA, MCM5
Rationale: TA are defined as rapidly cycling epithelial progenitors that sit between stem cells and differentiated absorptive, secretory, or defensive cells. Usually defined by a strong cycling signature, we split these into absorptive/secretory/cycling subtypes with weaker lineage specific signatures than their descendants

Set of Labels Description: Cell annotations (Prelim annotation) are based on the finest possible label that could be used to describe each of the ~500 clusters found during integration and subclustering
Annotation Method: algorithmic