Human vs Mouse SST Interneuron Types: Conservation and Divergence

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.

{
  "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"
}

[
  "paper:02e44fd7-f04b-419e-8dff-0fdaf932012b",
  "paper:paper-pm-31435019",
  "paper:paper-37824669",
  "paper:paper-430f33cd589f"
]

{
  "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"
}