HCA Gut Cell Atlas v1 Epithelial Lineage

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Cell Metadata

Colonocytes

Ontology Term: colonocyteCL:1000347
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.: ADH1C, CD24, CA1, CA2, PLA2G2A, PLAC8
Canonical Marker Genes: CA1, CA2, CEACAM7
Rationale: Colonocytes are the absorptive epithelial cells of the large intestine. Similar to enterocytes, these are subdivided into early and late stage, and when neither of these can be determined, this broader description is used. Hypoxia-related markers are used to differentiate colonocytes from other absorptive epithelial cells due to the less regulated tissue microenvironment.

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: colonocyteCL:1000347
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.: ADH1C, CD24, CA1, CA2, PLA2G2A, PLAC8
Canonical Marker Genes: CA1, CA2, CEACAM7
Rationale: Colonocytes are the absorptive epithelial cells of the large intestine. Similar to enterocytes, these are subdivided into early and late stage, and when neither of these can be determined, this broader description is used. Hypoxia-related markers are used to differentiate colonocytes from other absorptive epithelial cells due to the less regulated tissue microenvironment.

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