HCA Gut Cell Atlas v1 Myeloid Lineage

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Cell Metadata

DC cDC1

Ontology Term: conventional dendritic cellCL:0000990
Synonyms Terms that have the same, or nearly the same, meaning as the selected cell type.: cDC1
Category Class of which the cell type is a subclass.: dendritic cellCL:0000451
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: CLEC9A, C1orf54, XCR1, DNASE1L3, SHTN1
Canonical Marker Genes: CLEC9A, XCR1, BATF3
Rationale: Expresses CLEC9A, XCR1, DNASE1L3, and related cross presentation machinery, matching the canonical transcriptional program of type 1 conventional dendritic cells described in human mucosal and lymphoid tissues
Rationale DOI: 10.1126/science.aah4573; 10.1038/s41586-021-03852-1

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

Ontology Term: conventional dendritic cellCL:0000990
Synonyms Terms that have the same, or nearly the same, meaning as the selected cell type.: cDC1
Category Class of which the cell type is a subclass.: dendritic cellCL:0000451
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: CLEC9A, C1orf54, XCR1, DNASE1L3, SHTN1
Canonical Marker Genes: CLEC9A, XCR1, BATF3
Rationale: Expresses CLEC9A, XCR1, DNASE1L3, and related cross presentation machinery, matching the canonical transcriptional program of type 1 conventional dendritic cells described in human mucosal and lymphoid tissues
Rationale DOI: 10.1126/science.aah4573; 10.1038/s41586-021-03852-1

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