Version history

{
  "kind": "infographic",
  "prompt": "Different SST subtypes (Martinotti vs non-Martinotti, and various Martinotti subtypes) target distinct dendritic compartments and cell types. This comparison reveals the diversity of inhibitory output from the SST class.",
  "provider": "other",
  "raw_fields": {
    "papers": [
      {
        "doi": "10.1016/j.neuron.2023.05.032",
        "value": "subtype-selective targeting: SST-Myh8 receives input from PT neurons (SATB2-negative), SST-Nmbr from IT neurons (70-80% SATB2-positive)",
        "method": "morphology/optogenetics",
        "metric": "SST subtype output target",
        "cite_key": "Wu2023",
        "condition": "mouse, S1 and V1, layers 2/3-6, optogenetics, monosynaptic rabies tracing",
        "study_system": "mouse, S1 and V1, layers 2/3-6, optogenetics, monosynaptic rabies tracing",
        "value_source_sentence": "In contrast, the majority (70–80%) of L5 presynaptic neurons to SST-Nmbr interneurons are SATB2-positive, suggesting that they were L5-IT neurons (n = 4, S1 and V1 combined, Figure 6C and Figure S8 )."
      },
      {
        "doi": "10.7554/elife.43696",
        "value": null,
        "method": "morphology/optogenetics",
        "metric": "SST subtype output target",
        "cite_key": "Naka2019",
        "condition": "mouse, neocortex, barrel cortex, in vivo",
        "study_system": "mouse, neocortex, barrel cortex, in vivo",
        "value_source_sentence": null
      },
      {
        "doi": "10.7554/elife.58731",
        "value": "65",
        "method": "morphology/optogenetics",
        "metric": "SST subtype output target",
        "cite_key": "ZorrilladeSanMartin2020",
        "condition": "mouse, rat, neocortex, prefrontal cortex, in vivo",
        "study_system": "mouse, rat, neocortex, prefrontal cortex, in vivo",
        "value_source_sentence": "In the prefrontal cortex of Ts65Dn mice (a well-established DS model), we found that the dendritic synaptic inhibitory loop formed by somatostatin-positive Martinotti cells (MCs) and pyramidal neurons (PNs) was strongly enhanced, with no alteration in their excitability."
      }
    ],
    "comparison_id": "sst-subtype-output-targets",
    "comparison_name": "SST Interneuron Subtype Output Specificity: Martinotti vs Non-Martinotti",
    "comparison_type": "convergent evidence",
    "what_it_reveals": "Different SST subtypes (Martinotti vs non-Martinotti, and various Martinotti subtypes) target distinct dendritic compartments and cell types. This comparison reveals the diversity of inhibitory output from the SST class.",
    "homogeneity_check": {
      "caveats": [
        "Different genetic strategies for targeting subtypes, different measurement approaches"
      ],
      "n_definition": "varies: cells reconstructed, optogenetic mapping experiments",
      "scope_region": "primarily S1 and V1",
      "scope_population": "SST interneuron subtypes"
    },
    "suggested_plot_type": "heatmap"
  },
  "section_id": "section_06_evidence_package",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST/blob/89b7e9787cd90e942b0adb531d549af3ddad30f1/evidence/section_06_evidence_package.json",
  "target_ref": "wiki_page:computationalreviewsst-06",
  "review_repo": "ComputationalReviewSST",
  "section_ref": "wiki_page:computationalreviewsst-06",
  "source_path": "evidence/section_06_evidence_package.json",
  "source_refs": [
    "paper:paper-13553bc98be2",
    "paper:paper-7881c9e4267e",
    "paper:paper-c7076ba88e47"
  ],
  "section_title": "Synaptic Properties and Connectivity",
  "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_06_evidence_package.json",
  "commit_sha": "89b7e9787cd90e942b0adb531d549af3ddad30f1",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST"
}