exemplar data of Cluster Vip Mybpc1_3 primary motor cortex GABAergic interneuron (Mmus) RNAseq 024-025 - CS202002013_148 RNAseq 024 - CS202002013_24 PMID:34616066 Vip Mybpc1_3 In Mouse primary motor cortex (CCN202002013), Vip Mybpc1_3 is a member of the Vip subclass. The minimal set of markers required to distinguish this cell type from other cell types in the primary motor cortex is Caln1 and Grm8 (F-beta = 0.571), based on the NS Forest method of marker gene selection. Vip Mybpc1_3 cells represent 6.21% of all Vip cells collected in the snRNA-seq 10X v3 B dataset. Vip Mybpc1_3 cells have an average of 3928 genes detected, which is 74 more than the average for all Vip cells (3854). Vip Mybpc1_3 cells have an average firing rate of 44.27 Hz, compared to 41.07 Hz for all Vip cells recorded. Other distinguishing features include an input resistance of 350.76 MOhms (409.69 MOhms in all Vip cells), and upstroke:downstroke ratio of 2.15 (2.32 for all Vip cells). The most distinguishing morpholgical features of Vip Mybpc1_3, as determined by reconstructions from Patch-seq data, are normalized cortical depth (0.3 vs. 0.36 average for all Vip cells), axon total length (4940.61 vs. 5125.69 microns for all Vip cells), dendrite total length (2615.03 vs. 2222.79 microns for all Vip cells), and stems (3.33 vs. 3.73 for all Vip cells). L2/3 Bipolar VIP cell Cell Type Zizhen Yao Vip Mybpc1_3 CS202002013_24 Vip Mybpc1_3 Vip-like_C1 {"cell_set_preferred_alias": "Vip Mybpc1_3", "original_label": "Vip Mybpc1_3", "cell_set_label": "RNAseq 024", "cell_set_accession": "CS202002013_24", "cell_set_aligned_alias": "", "cell_set_additional_aliases": "", "cell_set_alias_assignee": "Zizhen Yao", "cell_set_alias_citation": "PMID:34616066", "cell_set_structure": "primary motor cortex", "cell_set_ontology_tag": "UBERON:0001384", "species": "Mouse", "modality": "RNAseq", "taxonomy_id": "CCN202002013", "taxonomy_description": "Mouse MOp BICCN taxonomy using multiple RNA-Seq datasets ", "child_cell_set_accessions": "", "cell_type_card": "Cell Type", "cell_set_color": "#AB379C"} RNAseq 024