Single-nucleus transcriptomic profiling of human skeletal muscle from healthy adults

Main

Cell Metadata

Macrophage

Ontology Term: macrophageCL:0000235
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.: mononuclear phagocyteCL:0000113
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: CD163, MERTK, F13A1, CD68, C1QA, C1QB, C1QC, ZEB2
Canonical Marker Genes: CD163, MRC1, MS4A7, MSR1
Rationale: This population shows a classic tissue-resident macrophage signature, including CD163, MERTK, F13A1, ZEB2, RBPJ, and ELMO1, with CD163 and MERTK strongly enriched compared to other clusters.

Set of Labels Description: Cell annotations were generated with scType using marker genes curated from related publications, and then manually reviewed and adjusted based on the top highly variable genes in each Leiden cluster.
Annotation Method: both
Algorithm Name: scType
Algorithm Version: v1
Algorithm URL: https://github.com/IanevskiAleksandr/sc-type

Ontology Term: macrophageCL:0000235
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.: mononuclear phagocyteCL:0000113
Ontology Assessment Disagreements with any aspect of the Cell Ontology.: —
Marker Gene Evidence Gene markers used by researcher to assign this cell annotation.: CD163, MERTK, F13A1, CD68, C1QA, C1QB, C1QC, ZEB2
Canonical Marker Genes: CD163, MRC1, MS4A7, MSR1
Rationale: This population shows a classic tissue-resident macrophage signature, including CD163, MERTK, F13A1, ZEB2, RBPJ, and ELMO1, with CD163 and MERTK strongly enriched compared to other clusters.

Set of Labels Description: Cell annotations were generated with scType using marker genes curated from related publications, and then manually reviewed and adjusted based on the top highly variable genes in each Leiden cluster.
Annotation Method: both
Algorithm Name: scType
Algorithm Version: v1
Algorithm URL: https://github.com/IanevskiAleksandr/sc-type