HCA Gut Cell Atlas v1 Myeloid Lineage

Main

Cell Metadata

Macrophages M2

Full Name: alternatively activated macrophage
Closest Ontology Term: M2 macrophageCL:0000890
Synonyms Terms that have the same, or nearly the same, meaning as the selected cell type.: M2 macrophages
Category Class of which the cell type is a subclass.: macrophageCL:0000235
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: CD209, CD163L1, FOLR2, MRC1
Canonical Marker Genes: MRC1 (CD206), FOLR2, CD163L1
Rationale: Expresses MRC1 (CD206), FOLR2, CD163L1, CD209, and other alternative activation metabolic genes, marking tissue repair and IL4/IL13 responsive programs
Rationale DOI: 10.1016/j.cell.2019.06.029

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: both
Algorithm Name: scVI
Algorithm Version: 1.3.2
Algorithm URL: https://github.com/scverse/scvi-tools

Full Name: alternatively activated macrophage
Closest Ontology Term: M2 macrophageCL:0000890
Synonyms Terms that have the same, or nearly the same, meaning as the selected cell type.: M2 macrophages
Category Class of which the cell type is a subclass.: macrophageCL:0000235
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: CD209, CD163L1, FOLR2, MRC1
Canonical Marker Genes: MRC1 (CD206), FOLR2, CD163L1
Rationale: Expresses MRC1 (CD206), FOLR2, CD163L1, CD209, and other alternative activation metabolic genes, marking tissue repair and IL4/IL13 responsive programs
Rationale DOI: 10.1016/j.cell.2019.06.029

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: both
Algorithm Name: scVI
Algorithm Version: 1.3.2
Algorithm URL: https://github.com/scverse/scvi-tools