Version history

{
  "kind": "infographic",
  "prompt": "While the overall SST subclass architecture is conserved between human and mouse cortex, species-specific types exist (e.g., primate double-bouquet cells) and homologous types show divergent proportions, laminar distributions, and electrophysiological properties. This comparison is critical for assessing translational validity of mouse SST studies.",
  "provider": "other",
  "raw_fields": {
    "papers": [
      {
        "doi": "10.1038/s41586-019-1506-7",
        "value": "11",
        "method": "snRNA-seq",
        "metric": "Number of SST types in human MTG",
        "cite_key": "Hodge2019",
        "condition": "middle temporal gyrus",
        "study_system": "human",
        "value_source_sentence": "The SST subclass had 11 types that were spatially restricted."
      },
      {
        "doi": "10.1038/s41586-019-1506-7",
        "value": "44% LHX6+",
        "method": "snRNA-seq",
        "metric": "MGE-derived interneuron proportion in human",
        "cite_key": "Hodge2019",
        "condition": "middle temporal gyrus",
        "study_system": "human",
        "value_source_sentence": "Human MTG had similar proportions of MGE (44% LHX6+ nuclei) and CGE (50% ADARB2+ nuclei) interneurons."
      },
      {
        "doi": "10.1126/science.adf6484",
        "value": "44 of 45 types, 778 neurons",
        "method": "Patch-seq",
        "metric": "Human GABAergic types covered by Patch-seq",
        "cite_key": "Lee2023",
        "condition": "temporal and frontal cortex",
        "study_system": "human",
        "value_source_sentence": "Patch-seq sampling facilitated targeted acquisition and analysis of 778 human neurons in cortical layers 2 to 6, across 44 out of 45 GABAergic transcriptomic types."
      },
      {
        "doi": "10.1126/science.adf6484",
        "value": "human types more excitable, larger spatial extent, less neurite branching",
        "method": "Patch-seq comparison",
        "metric": "Human vs mouse electrophysiological differences",
        "cite_key": "Lee2023",
        "condition": "neocortex",
        "study_system": "human vs mouse",
        "value_source_sentence": "We compared the morphoelectric properties of homologous mouse and human neocortical GABAergic neuron types and found that human types are more excitable and have a larger spatial extent with less neurite branching."
      },
      {
        "doi": "10.1126/science.aan3351",
        "value": "stronger conservation in inhibitory vs excitatory neurons",
        "method": "single-cell methylomics",
        "metric": "Cross-species conservation of regulatory elements",
        "cite_key": "Luo2017",
        "condition": "frontal cortex",
        "study_system": "human vs mouse",
        "value_source_sentence": "We observed stronger cross-species conservation of regulatory elements in inhibitory compared with excitatory neurons."
      }
    ],
    "comparison_id": "sst-types-human-vs-mouse",
    "comparison_name": "Human vs Mouse SST Interneuron Types: Conservation and Divergence",
    "comparison_type": "cross-study conflict",
    "what_it_reveals": "While the overall SST subclass architecture is conserved between human and mouse cortex, species-specific types exist (e.g., primate double-bouquet cells) and homologous types show divergent proportions, laminar distributions, and electrophysiological properties. This comparison is critical for assessing translational validity of mouse SST studies.",
    "homogeneity_check": {
      "caveats": [
        "Human tissue from different cortical regions (MTG, frontal, temporal) may have region-specific type distributions",
        "Human tissue is from surgical resections or postmortem, with potential artifacts",
        "Mouse and human studies used different scRNA-seq platforms and clustering approaches"
      ],
      "comparable": true
    },
    "suggested_plot_type": "grouped bar"
  },
  "section_id": "section_02_evidence_package",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST/blob/89b7e9787cd90e942b0adb531d549af3ddad30f1/evidence/section_02_evidence_package.json",
  "target_ref": "wiki_page:computationalreviewsst-02",
  "review_repo": "ComputationalReviewSST",
  "section_ref": "wiki_page:computationalreviewsst-02",
  "source_path": "evidence/section_02_evidence_package.json",
  "source_refs": [
    "paper:02e44fd7-f04b-419e-8dff-0fdaf932012b",
    "paper:paper-pm-31435019",
    "paper:paper-37824669",
    "paper:paper-430f33cd589f"
  ],
  "section_title": "Molecular Identity and Transcriptomic Taxonomy",
  "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": "89b7e9787cd90e942b0adb531d549af3ddad30f1",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST"
  },
  "generation_status": "complete",
  "review_bundle_ref": "analysis_bundle:ab-8466d095488a",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST/blob/89b7e9787cd90e942b0adb531d549af3ddad30f1/evidence/section_02_evidence_package.json",
  "commit_sha": "89b7e9787cd90e942b0adb531d549af3ddad30f1",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST"
}