Human liver cell atlas - hepatocyte cells 1

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Cell Metadata

Pericentral Hepatocyte

Ontology Term: centrilobular region hepatocyteCL:0019029
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.: hepatocyteCL:0000182
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: CYP3A4, CYP2E1, ADH4, GLUL, BCHE
Canonical Marker Genes: CYP3A4, CYP2E1, ADH4, GLUL, BCHE
Rationale: Annotated based on the listed marker genes.

Set of Labels Description: HLiCA classifies cells into six lineages and 48 distinct cell types, 18 more than previous studies. Rigorous benchmarking ensured robust integration across technical and biological variables. Expanded annotations allowed identification of previously undetected liver cell types. As the largest human liver cell atlas, HLiCA serves as a genetically diverse, well-annotated reference.
Annotation Method: both
Algorithm Name: CIPR
Algorithm Version: v1
Algorithm URL: https://github.com/atakanekiz/CIPR-Package

Ontology Term: centrilobular region hepatocyteCL:0019029
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.: hepatocyteCL:0000182
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: CYP3A4, CYP2E1, ADH4, GLUL, BCHE
Canonical Marker Genes: CYP3A4, CYP2E1, ADH4, GLUL, BCHE
Rationale: Annotated based on the listed marker genes.

Set of Labels Description: HLiCA classifies cells into six lineages and 48 distinct cell types, 18 more than previous studies. Rigorous benchmarking ensured robust integration across technical and biological variables. Expanded annotations allowed identification of previously undetected liver cell types. As the largest human liver cell atlas, HLiCA serves as a genetically diverse, well-annotated reference.
Annotation Method: both
Algorithm Name: CIPR
Algorithm Version: v1
Algorithm URL: https://github.com/atakanekiz/CIPR-Package