snRNA-seq of human optic nerve and optic nerve head - all cells

Main

Cell Metadata

vascularSMC_SORBS2+

Ontology Term: blood vessel smooth muscle cellCL:0019018
Synonyms Terms that have the same, or nearly the same, meaning as the selected cell type.: vascularSMC SORBS2+, vascular associated smooth muscle cell SORBS2+, vSMC SORBS2+, vSMC UNC13C+
Category Class of which the cell type is a subclass.: vascular associated smooth muscle cellCL:0000359
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: SORBS2, ACTA2, TAGLN, UNC13C
Canonical Marker Genes: unknown
Rationale: A vascular associated smooth muscle cell sub class that expresses ACTA2, TAGLN, SORBS2, and UNC13C
Rationale DOI: https://doi.org/10.1073/pnas.2306153120

Set of Labels Description: We used scVI for data integration and then manually annotated each cell cluster based on marker gene expression
Annotation Method: both
Algorithm Name: scVI
Algorithm Version: scvi-tools 1.3.0
Algorithm URL: https://github.com/scverse/scvi-tools

Main

Cell Metadata

Ontology Term: blood vessel smooth muscle cellCL:0019018
Synonyms Terms that have the same, or nearly the same, meaning as the selected cell type.: vascularSMC SORBS2+, vascular associated smooth muscle cell SORBS2+, vSMC SORBS2+, vSMC UNC13C+
Category Class of which the cell type is a subclass.: vascular associated smooth muscle cellCL:0000359
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: SORBS2, ACTA2, TAGLN, UNC13C
Canonical Marker Genes: unknown
Rationale: A vascular associated smooth muscle cell sub class that expresses ACTA2, TAGLN, SORBS2, and UNC13C
Rationale DOI: https://doi.org/10.1073/pnas.2306153120

Set of Labels Description: We used scVI for data integration and then manually annotated each cell cluster based on marker gene expression
Annotation Method: both
Algorithm Name: scVI
Algorithm Version: scvi-tools 1.3.0
Algorithm URL: https://github.com/scverse/scvi-tools