- claim_text
Gouwens et al. (2020) showed that GABAergic interneurons in electrophysiology UMAP space largely segregated into 4 clouds corresponding to Lamp5, Vip, Sst, and Pvalb transcriptomic subclasses, supporting subclass-level concordance between transcriptomic and electrophysiological identity.
- raw_fields
{
"n": 2955,
"doi": "10.1016/j.cell.2020.09.057",
"claim": "Gouwens et al. (2020) showed that GABAergic interneurons in electrophysiology UMAP space largely segregated into 4 clouds corresponding to Lamp5, Vip, Sst, and Pvalb transcriptomic subclasses, supporting subclass-level concordance between transcriptomic and electrophysiological identity.",
"title": null,
"cite_key": "Gouwens2020a",
"evidence": "Of 4,270 Patch-seq cells, 2,955 with 'highly consistent' t-type mapping clustered into Lamp5/Vip/Sst/Pvalb electrophysiological clouds; subclass identity is the most reliable correspondence between modalities.",
"effect_size": null,
"text_access": "fulltext",
"study_system": "mouse VISp; Patch-seq",
"target_section": "section_11",
"_source_cluster": "cluster_01_molecular_taxonomy",
"replication_status": "replicated",
"_source_cluster_index": 16,
"claim_source_sentence": "Examining the location of the 2,955 cells with 'highly consistent' t-type mapping demonstrated that, at the subclass level, most GABAergic interneurons occupied one of 4 large clouds in the electrophysiology UMAP projection, corresponding to the Lamp5, Vip, Sst, and Pvalb transcriptomic subclasses."
}- source_refs
[
"paper:paper-pm-33186530"
]
- source_span
Examining the location of the 2,955 cells with 'highly consistent' t-type mapping demonstrated that, at the subclass level, most GABAergic interneurons occupied one of 4 large clouds in the electrophysiology UMAP projection, corresponding to the Lamp5, Vip, Sst, and Pvalb transcriptomic subclasses.
- evidence_refs
[
{
"ref": "paper:paper-pm-33186530"
}
]- source_policy
{
"mode": "public_source_pointer_with_short_context",
"notes": [
"Local review repositories are read-only inputs.",
"SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
],
"source_commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
"source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}