Version history

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

  1. Live ef012c45e45e
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse cortex; spatially resolved axonal-collateral BARseq",
      "claim_text": "A 30-nt barcode pool can label ~10^18 unique sequences, far exceeding the ~10^8 neurons in the mouse brain — enabling massive multiplexing of single-neuron projection labels.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1038/s41467-024-52756-x",
        "claim": "A 30-nt barcode pool can label ~10^18 unique sequences, far exceeding the ~10^8 neurons in the mouse brain — enabling massive multiplexing of single-neuron projection labels.",
        "cite_key": "Yuan2024",
        "evidence": "Quantifies the combinatorial advantage of barcoded projectome methods (MAPseq/BARseq) over single-cell tracer reconstructions.",
        "effect_size": "4^30 ≈ 10^18 unique barcodes vs ~10^8 neurons",
        "text_access": "fulltext",
        "study_system": "Mouse cortex; spatially resolved axonal-collateral BARseq",
        "source_cluster_id": "cluster_11",
        "replication_status": "independently_replicated",
        "claim_source_sentence": "The pool of unique barcode identifiers is effectively infinite; even a 30 nucleotide (nt)-sequence has a potential diversity of 4 30 ≈ 10 18 barcodes, far surpassing the ∼10 8 neurons in the mouse brain.",
        "replication_evidence_dois": [
          "10.1016/j.neuron.2016.07.036",
          "10.1038/s41593-021-00842-4"
        ],
        "effect_size_source_sentence": "The pool of unique barcode identifiers is effectively infinite; even a 30 nucleotide (nt)-sequence has a potential diversity of 4 30 ≈ 10 18 barcodes, far surpassing the ∼10 8 neurons in the mouse brain."
      },
      "section_id": "section_12",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json",
      "effect_size": "4^30 ≈ 10^18 unique barcodes vs ~10^8 neurons",
      "review_repo": "ComputationalReviewLoops",
      "section_ref": "wiki_page:computationalreviewloops-12",
      "source_kind": "review_finding",
      "source_path": "evidence/section_12_evidence_package.json",
      "source_refs": [
        "paper:paper-986527ad59ef"
      ],
      "source_span": "The pool of unique barcode identifiers is effectively infinite; even a 30 nucleotide (nt)-sequence has a potential diversity of 4 30 ≈ 10 18 barcodes, far surpassing the ∼10 8 neurons in the mouse brain.",
      "study_system": "Mouse cortex; spatially resolved axonal-collateral BARseq",
      "evidence_refs": [
        {
          "ref": "paper:paper-986527ad59ef"
        }
      ],
      "section_title": "Whole-Brain Connectomics: Mouse, Primate, Human",
      "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": "0632aae8abc141909207fe91f6349b9e36489c3b",
        "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
      },
      "evidence_summary": "Quantifies the combinatorial advantage of barcoded projectome methods (MAPseq/BARseq) over single-cell tracer reconstructions.",
      "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
      "replication_status": "independently_replicated",
      "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
      "source_artifact_ref": "wiki_page:computationalreviewloops-12",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json",
      "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
    }