Version history

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

  1. Live 3bc9b6a5878e
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "mouse, marmoset, human primary motor cortex (BICCN)",
      "claim_text": "The BICCN multimodal census of mammalian primary motor cortex integrates single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved transcriptomes, morpho-electrophysiology and cellular-resolution input-output mapping into a cross-species consensus taxonomy of cortical cell types.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1038/s41586-021-03950-0",
        "claim": "The BICCN multimodal census of mammalian primary motor cortex integrates single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved transcriptomes, morpho-electrophysiology and cellular-resolution input-output mapping into a cross-species consensus taxonomy of cortical cell types.",
        "cite_key": "BRAINInitiativeCellCensusNetworkBICCN2021",
        "evidence": "Coordinated multi-modal profiling and integration of single-cell genomics, MERFISH, Patch-seq, single-neuron reconstruction and viral connectomics in mouse M1 and homologous regions of marmoset and human.",
        "effect_size": "qualitative — unified multimodal taxonomy",
        "text_access": "abstract_only",
        "study_system": "mouse, marmoset, human primary motor cortex (BICCN)",
        "argument_role": "supporting",
        "replication_status": "independently_replicated",
        "claim_source_sentence": "This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties and cellular resolution input-output mapping, integrated through cross-modal computational analysis.",
        "source_provenance_status": "non_substring_match",
        "replication_evidence_dois": [
          "10.1038/s41586-018-0654-5",
          "10.1038/s41586-021-03500-8"
        ],
        "effect_size_source_sentence": null
      },
      "section_id": "section_07",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_07_evidence_package.json",
      "effect_size": "qualitative — unified multimodal taxonomy",
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-07-celltype-motifs",
      "source_kind": "review_finding",
      "source_path": "evidence/section_07_evidence_package.json",
      "source_refs": [
        "paper:paper-pm-34616075"
      ],
      "source_span": "This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties and cellular resolution input-output mapping, integrated through cross-modal computational analysis.",
      "study_system": "mouse, marmoset, human primary motor cortex (BICCN)",
      "evidence_refs": [
        {
          "ref": "paper:paper-pm-34616075"
        }
      ],
      "section_title": "7. Cell-type-specific E→E motifs in mouse — IT vs PT vs CT pyramidal projection classes; L5 thick-tufted recurrence; Patch-seq and Allen mouse-cortex taxonomy intersections; transcriptomic-type-specific 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": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
        "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
      },
      "evidence_summary": "Coordinated multi-modal profiling and integration of single-cell genomics, MERFISH, Patch-seq, single-neuron reconstruction and viral connectomics in mouse M1 and homologous regions of marmoset and human.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "independently_replicated",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-07-celltype-motifs",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_07_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }