SST Interneuron Subtype Proportions Across Studies

Different studies report varying proportions of Martinotti vs non-Martinotti SST neurons in layer 5, reflecting methodological differences and potentially genuine regional variation. This comparison reveals the extent of agreement on basic SST subtype composition.

{
  "papers": [
    {
      "doi": "10.1523/jneurosci.2415-17.2017",
      "value": "T-shaped Martinotti ~10%, fanning-out Martinotti ~50%, non-Martinotti ~40%",
      "method": "electrophysiology + morphology",
      "metric": "Proportion of L5 SST subtypes",
      "cite_key": "Nigro2018",
      "condition": "acute brain slices",
      "study_system": "mouse barrel cortex",
      "value_source_sentence": "We estimated the proportion of each subtype in L5 and found that T-shaped Martinotti, fanning-out Martinotti, and Non-Martinotti cells represent ~10, ~50, and ~40% of L5 SST-INs, respectively."
    },
    {
      "doi": "10.1016/j.neuron.2023.05.032",
      "value": "Three subtypes with distinct laminar organization and stereotyped axonal projection patterns",
      "method": "genetic targeting + rabies tracing",
      "metric": "SST subtype circuit specificity",
      "cite_key": "Wu2023",
      "condition": "in vivo and in vitro",
      "study_system": "mouse cortex",
      "value_source_sentence": "We designed a series of genetic strategies to target the breadth of somatostatin interneuron subtypes and found that each subtype possesses a unique laminar organization and stereotyped axonal projection pattern."
    },
    {
      "doi": "10.1016/j.tins.2024.12.004",
      "value": "Transcriptomic data divide SST neurons into multiple subtypes correlated with morpho-electric properties",
      "method": "transcriptomics + morpho-electrophysiology",
      "metric": "SST subtype classification",
      "cite_key": "Park2025b",
      "condition": "N/A (review)",
      "study_system": "mouse cortex (review)",
      "value_source_sentence": "Transcriptomic data suggest that this class can be divided into multiple subtypes that are correlated with morpho-electric properties."
    }
  ],
  "comparison_id": "sst-subtype-proportions-across-studies",
  "comparison_name": "SST Interneuron Subtype Proportions Across Studies",
  "comparison_type": "cross-study conflict",
  "what_it_reveals": "Different studies report varying proportions of Martinotti vs non-Martinotti SST neurons in layer 5, reflecting methodological differences and potentially genuine regional variation. This comparison reveals the extent of agreement on basic SST subtype composition.",
  "homogeneity_check": {
    "caveats": "Methodological basis for subtype classification differs (morphology vs transcriptomics vs genetic tools); proportions may vary by cortical area and layer",
    "n_definition": "Individual cells classified morphologically vs transcriptomic clusters",
    "scope_region": "All from mouse neocortex but different areas (barrel cortex vs cortex broadly)",
    "taxonomic_level": "Morphological subtypes vs transcriptomic clusters",
    "scope_population": "L5 SST neurons specifically vs all SST neurons"
  },
  "suggested_plot_type": "grouped bar"
}

[
  "paper:paper-c57fcb1aef2a",
  "paper:paper-c7076ba88e47",
  "paper:paper-f74447d3e5d5"
]

{
  "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"
}