Version history

{
  "kind": "infographic",
  "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.",
  "provider": "other",
  "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"
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  "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",
  "source_refs": [
    "paper:paper-pm-33186530",
    "paper:paper-a6f36c6c8f6f",
    "paper:paper-pm-32839617"
  ],
  "section_title": "Morphological Diversity: Basket Cells, Chandelier Cells, and Beyond",
  "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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  "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"
}