Cluster RNAseq 88-89 - CS201912132_108 Peri RNAseq 88-89 Peri {"cell_set_preferred_alias": "Peri", "cell_set_label": "RNAseq 88-89", "cell_set_accession": "CS201912132_108", "cell_set_aligned_alias": "Pericyte", "cell_set_additional_aliases": "Peri", "cell_set_alias_assignee": "Fenna Krienen", "cell_set_alias_citation": "PMID:34616062", "cell_set_structure": "primary motor cortex", "cell_set_ontology_tag": "UBERON:0001384", "species": "Marmoset", "modality": "RNAseq", "taxonomy_id": "CCN201912132", "taxonomy_description": "Marmoset M1 taxonomy using 10X data", "child_cell_set_accessions": "CS201912132_88|CS201912132_89", "cell_type_card": "Subclass", "original_label": "n90", "cell_set_color": "#A77C70"} Peri Fenna Krienen Peri Peri Pericyte Subclass n90 Peri is: pericytes. In Marmoset primary motor cortex (CCN201912132), Peri has 2 child types: Peri SLC1A3 CHST3 and Peri SLC1A3 EPSTI1. The minimal set of markers required to distinguish this cell type from other cell types in the primary motor cortex is CPM and LOC100405319 (F-beta = 0.723), based on the NS Forest method of marker gene selection. Peri cells represent 10.03% of all Non-Neural cells collected in the marmoset M1 10Xv3 dataset. Peri cells have an average of 1768 genes detected, which is 404 less than the average for all Non-Neural cells (2172). PMID:34616062 Pericyte CS201912132_108 RNAseq 85-89 - CS201912132_207