Single cell atlas of the human trabecular meshwork and ciliary body - scRNA-seq

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Cell Metadata

Vascular_Endothelium

Ontology Term: blood vessel endothelial cellCL:0000071
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.: endothelial cell of vascular treeCL:0002139
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: ALPL, BTNL9, CP, SLC2A1
Canonical Marker Genes: BTNL9
Rationale: This Vascular Endothelium sub-class is annotated by the marker BTNL9 .

Set of Labels Description: This cell annotation set focuses on the trabecular meshwork (TM) and ciliary body (CB), key tissues regulating aqueous humor dynamics and intraocular pressure in the human eye. Using single-cell RNA-seq, we analyzed over 332K cells from 36 healthy donors, identifying 9 major cell classes and 19 sub-classes. As part of the Human Cell Atlas initiative, this dataset integrates transcriptomic and chromatin accessibility data and is publicly accessible via CELLxGENE and the UCSC Cell Browser, offering a valuable resource for understanding ocular physiology and disease mechanisms.
Annotation Method: manual

Ontology Term: blood vessel endothelial cellCL:0000071
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.: endothelial cell of vascular treeCL:0002139
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: ALPL, BTNL9, CP, SLC2A1
Canonical Marker Genes: BTNL9
Rationale: This Vascular Endothelium sub-class is annotated by the marker BTNL9 .

Set of Labels Description: This cell annotation set focuses on the trabecular meshwork (TM) and ciliary body (CB), key tissues regulating aqueous humor dynamics and intraocular pressure in the human eye. Using single-cell RNA-seq, we analyzed over 332K cells from 36 healthy donors, identifying 9 major cell classes and 19 sub-classes. As part of the Human Cell Atlas initiative, this dataset integrates transcriptomic and chromatin accessibility data and is publicly accessible via CELLxGENE and the UCSC Cell Browser, offering a valuable resource for understanding ocular physiology and disease mechanisms.
Annotation Method: manual