Version history

1 version on record. Newest first; the live version sits at the top with a live indicator.

  1. Live 7e2c370a4b65
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "mouse and rat granular retrosplenial cortex, snRNA-seq + ISH",
      "claim_text": "Granular retrosplenial cortex (RSG) in mouse contains transcriptomically unique cell types — including L2/3 low-rheobase neurons and L5a RSG pyramidal cells — and these same cell types are found in rat RSG, where together they account for >50% of RSG neurons.",
      "raw_fields": {
        "n": null,
        "doi": "10.1523/jneurosci.2246-24.2025",
        "claim": "Granular retrosplenial cortex (RSG) in mouse contains transcriptomically unique cell types — including L2/3 low-rheobase neurons and L5a RSG pyramidal cells — and these same cell types are found in rat RSG, where together they account for >50% of RSG neurons.",
        "cite_key": "Brooks2025b",
        "evidence": "Cross-species (mouse and rat) snRNA-seq and ISH of granular RSG.",
        "effect_size": ">50% of all RSG neurons",
        "text_access": "abstract_only",
        "study_system": "mouse and rat granular retrosplenial cortex, snRNA-seq + ISH",
        "argument_role": "supporting",
        "replication_status": "replication_unknown",
        "claim_source_sentence": "Here, we show that mouse and rat RSG contain the same unique cell types, with L2/3 LR and L5a RSG cell types together representing >50% of all RSG neurons in each species.",
        "source_provenance_status": "non_substring_match",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": "Here, we show that mouse and rat RSG contain the same unique cell types, with L2/3 LR and L5a RSG cell types together representing >50% of all RSG neurons in each species."
      },
      "section_id": "section_02",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_02_evidence_package.json",
      "effect_size": ">50% of all RSG neurons",
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-02-anatomy-primer",
      "source_kind": "review_finding",
      "source_path": "evidence/section_02_evidence_package.json",
      "source_refs": [
        "paper:paper-3678866fea0b"
      ],
      "source_span": "Here, we show that mouse and rat RSG contain the same unique cell types, with L2/3 LR and L5a RSG cell types together representing >50% of all RSG neurons in each species.",
      "study_system": "mouse and rat granular retrosplenial cortex, snRNA-seq + ISH",
      "evidence_refs": [
        {
          "ref": "paper:paper-3678866fea0b"
        }
      ],
      "section_title": "2. Mouse-cortex anatomy primer — areal map, layer structure, projection-class nomenclature (IT / PT / CT), tools available for E→E dissection (paired patch, Cre lines, two-photon-targeted patch, optogenetics, EM reconstruction)",
      "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": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
        "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
      },
      "evidence_summary": "Cross-species (mouse and rat) snRNA-seq and ISH of granular RSG.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "replication_unknown",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-02-anatomy-primer",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_02_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }