Version history

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

  1. Live e2c822410009
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "mouse + marmoset + human MOp/M1; snRNA-seq + MERFISH + epigenomic",
      "claim_text": "BICCN (2021) integrated snRNA-seq datasets across mouse, marmoset and human primary motor cortex (MOp/M1) to identify 45 conserved t-types including 24 GABAergic types within a consensus cross-species taxonomy.",
      "raw_fields": {
        "n": null,
        "doi": "10.1038/s41586-021-03950-0",
        "claim": "BICCN (2021) integrated snRNA-seq datasets across mouse, marmoset and human primary motor cortex (MOp/M1) to identify 45 conserved t-types including 24 GABAergic types within a consensus cross-species taxonomy.",
        "title": null,
        "cite_key": "Braininitiativecellcensusnetworkbiccn2021",
        "evidence": "Cross-species snRNA-seq integration of MOp/M1 yielded 45 conserved t-types; CGE-derived subclasses (Lamp5, Sncg, Vip) preserved across all three species; human cell-type taxonomy 127 t-types, marmoset 94 t-types.",
        "effect_size": null,
        "text_access": "fulltext",
        "study_system": "mouse + marmoset + human MOp/M1; snRNA-seq + MERFISH + epigenomic",
        "target_section": "section_02",
        "_source_cluster": "cluster_01_molecular_taxonomy",
        "replication_status": "replicated",
        "_source_cluster_index": 11,
        "claim_source_sentence": "To establish a consensus classification of MOp and M1 cell types among mouse, human and marmoset, we integrated snRNA-seq datasets across species and identified 45 conserved t-types, including 24 GABAergic."
      },
      "section_id": "section_02",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_02_evidence_package.json",
      "effect_size": null,
      "review_repo": "ComputationalReviewVIP",
      "section_ref": "wiki_page:computationalreviewvip-02-classification",
      "source_kind": "review_finding",
      "source_path": "evidence/section_02_evidence_package.json",
      "source_refs": [
        "paper:paper-pm-34616075"
      ],
      "source_span": "To establish a consensus classification of MOp and M1 cell types among mouse, human and marmoset, we integrated snRNA-seq datasets across species and identified 45 conserved t-types, including 24 GABAergic.",
      "study_system": "mouse + marmoset + human MOp/M1; snRNA-seq + MERFISH + epigenomic",
      "evidence_refs": [
        {
          "ref": "paper:paper-pm-34616075"
        }
      ],
      "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": "95e761177f7d2ec565983d3307c14ec238f9677c",
        "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
      },
      "evidence_summary": "Cross-species snRNA-seq integration of MOp/M1 yielded 45 conserved t-types; CGE-derived subclasses (Lamp5, Sncg, Vip) preserved across all three species; human cell-type taxonomy 127 t-types, marmoset 94 t-types.",
      "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
      "replication_status": "replicated",
      "review_package_ref": "analysis_bundle:ab-2ce40c33e827",
      "source_artifact_ref": "wiki_page:computationalreviewvip-02-classification",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_02_evidence_package.json",
      "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
    }