Details

kind
infographic
provider
other
section_id
section_04_evidence_package
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_04_evidence_package.json
target_ref
wiki_page:computationalreviewpv-04
review_repo
ComputationalReviewPV
section_ref
wiki_page:computationalreviewpv-04
source_path
evidence/section_04_evidence_package.json
section_title
Morphological Diversity: Basket Cells, Chandelier Cells, and Beyond
generation_status
complete
review_bundle_ref
analysis_bundle:ab-e6261c8263e7
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_04_evidence_package.json
commit_sha
df9fc7e8d455b084152c9d713558dae0013cef21
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewPV
Raw fields (4)
prompt
The number of recognized inhibitory neuron types has grown dramatically with increasing resolution of classification methods, from 28 multimodal types to 1,051 transcriptomic clusters. Different scopes (visual cortex vs whole telencephalon) and classification granularity contribute to variation.
raw_fields
{
  "papers": [
    {
      "n": 4200,
      "doi": "10.1016/j.cell.2020.09.057",
      "value": "28",
      "method": "Patch-seq, morphological reconstruction",
      "metric": "Number of met-types (GABAergic interneurons)",
      "n_analyzed": "517 morphological reconstructions",
      "ci_or_error": null,
      "text_access": "fulltext",
      "n_definition": "cells profiled",
      "scope_region": "visual cortex",
      "study_system": "mouse visual cortex",
      "taxonomic_level": "fine type",
      "scope_population": "GABAergic interneurons only",
      "value_source_sentence": "Through multimodal integrated analysis we define 28 met-types that have congruent morphological, electrophysiological, and transcriptomic properties.",
      "experimental_conditions": "Patch-seq multimodal analysis"
    },
    {
      "n": 0,
      "doi": "10.1038/s41593-020-0685-8",
      "value": "~60",
      "method": "single-cell RNA-seq",
      "metric": "Number of inhibitory t-types",
      "n_analyzed": null,
      "ci_or_error": null,
      "text_access": "fulltext",
      "n_definition": "consensus classification",
      "scope_region": "whole neocortex",
      "study_system": "mouse neocortex",
      "taxonomic_level": "fine type",
      "scope_population": "all inhibitory neurons",
      "value_source_sentence": "Inhibitory neurons were subdivided into parvalbumin (PV), somatostatin (SST), vasoactive intestinal polypeptide (VIP), and 'other (i.e. Lamp5/Sncg)' subpopulations, which altogether comprise ~60 t-types.",
      "experimental_conditions": "community-based transcriptomic classification"
    },
    {
      "n": 611423,
      "doi": "10.1038/s41586-025-09296-1",
      "value": "1051",
      "method": "single-cell RNA-seq",
      "metric": "Number of GABAergic clusters (whole telencephalon)",
      "n_analyzed": "611,423",
      "ci_or_error": null,
      "text_access": "fulltext",
      "n_definition": "single-cell transcriptomes",
      "scope_region": "whole telencephalon",
      "study_system": "mouse telencephalon",
      "taxonomic_level": "cluster",
      "scope_population": "all GABAergic neurons",
      "value_source_sentence": "We present a hierarchically organized adult telencephalic GABAergic neuronal cell-type taxonomy of 7 classes, 52 subclasses, 284 supertypes and 1,051 clusters.",
      "experimental_conditions": "comprehensive single-cell transcriptomic survey"
    }
  ],
  "comparison_id": "transcriptomic-interneuron-type-counts",
  "comparison_name": "Number of transcriptomic inhibitory neuron types across classification studies",
  "comparison_type": "convergent evidence",
  "what_it_reveals": "The number of recognized inhibitory neuron types has grown dramatically with increasing resolution of classification methods, from 28 multimodal types to 1,051 transcriptomic clusters. Different scopes (visual cortex vs whole telencephalon) and classification granularity contribute to variation.",
  "homogeneity_check": {
    "caveats": [
      "Visual cortex only vs whole neocortex vs whole telencephalon",
      "met-types (multimodal) vs t-types (transcriptomic only) vs clusters (finest granularity)",
      "Different classification methods and resolution levels make direct comparison complex",
      "28 met-types are multi-modal (morpho-electro-transcriptomic), ~60 t-types are transcriptomic, 1,051 clusters are at finest transcriptomic resolution"
    ],
    "n_definition_uniform": "false",
    "scope_region_uniform": "false",
    "taxonomic_level_uniform": "false",
    "scope_population_uniform": "false"
  },
  "suggested_plot_type": "grouped bar"
}
source_refs
[
  "paper:paper-pm-33186530",
  "paper:paper-a6f36c6c8f6f",
  "paper:paper-pm-32839617"
]
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": "df9fc7e8d455b084152c9d713558dae0013cef21",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
}

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