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

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Cell Metadata

Pericyte1

Ontology Term: pericyteCL:0000669
Synonyms Terms that have the same, or nearly the same, meaning as the selected cell type.: adventitial reticular cell, pericyte cell, pericyte of Rouget
Category Class of which the cell type is a subclass.: mural cellCL:0008034
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: LAMA2, TRPC4, ADCY3, JAG1, PDGFRB
Canonical Marker Genes: LAMA2
Rationale: This pericyte1 sub-class is annotated by the marker LAMA2.

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-nucleus RNA-seq, we analyzed over 1 million cells from 70 healthy donors, identifying 9 major cell classes and 18 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: pericyteCL:0000669
Synonyms Terms that have the same, or nearly the same, meaning as the selected cell type.: adventitial reticular cell, pericyte cell, pericyte of Rouget
Category Class of which the cell type is a subclass.: mural cellCL:0008034
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: LAMA2, TRPC4, ADCY3, JAG1, PDGFRB
Canonical Marker Genes: LAMA2
Rationale: This pericyte1 sub-class is annotated by the marker LAMA2.

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-nucleus RNA-seq, we analyzed over 1 million cells from 70 healthy donors, identifying 9 major cell classes and 18 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