Version history

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  1. Live f1bcdfb3c35e
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse cortex/LC; barcode-sequencing single-neuron projection mapping.",
      "claim_text": "MAPseq enables high-throughput single-neuron projection mapping in the mouse brain by labelling neurons with random RNA barcodes and sequencing axon contents from dissected target regions, scaling single-cell projection analysis to thousands of neurons.",
      "raw_fields": {
        "n": null,
        "doi": "10.1016/j.neuron.2016.07.036",
        "claim": "MAPseq enables high-throughput single-neuron projection mapping in the mouse brain by labelling neurons with random RNA barcodes and sequencing axon contents from dissected target regions, scaling single-cell projection analysis to thousands of neurons.",
        "cite_key": "Kebschull2016",
        "evidence": "Sindbis virus-delivered random RNA barcodes; barcode mRNA extracted from dissected target regions and sequenced to recover single-cell projection patterns.",
        "effect_size": "Demonstrated on mouse locus coeruleus and cortical targets; recovers preferred cortical target patterns at thousands-of-neurons scale.",
        "text_access": "fulltext",
        "study_system": "Mouse cortex/LC; barcode-sequencing single-neuron projection mapping.",
        "argument_role": "supporting",
        "replication_status": "replicated",
        "claim_source_sentence": "Here we describe MAPseq (Multiplexed Analysis of Projections by Sequencing), a technique that can map the projections of thousands or even millions of single neurons by labeling large sets of neurons with random RNA sequences (\"barcodes\").",
        "source_provenance_status": "ok",
        "replication_evidence_dois": [
          "10.1016/j.cell.2019.09.023",
          "10.1038/nature26159"
        ],
        "effect_size_source_sentence": "Applying MAPseq to the locus coeruleus (LC), we find that individual LC neurons have preferred cortical targets."
      },
      "section_id": "section_08",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
      "effect_size": "Demonstrated on mouse locus coeruleus and cortical targets; recovers preferred cortical target patterns at thousands-of-neurons scale.",
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal",
      "source_kind": "review_finding",
      "source_path": "evidence/section_08_evidence_package.json",
      "source_refs": [
        "paper:paper-f6fa8c802d45"
      ],
      "source_span": "Here we describe MAPseq (Multiplexed Analysis of Projections by Sequencing), a technique that can map the projections of thousands or even millions of single neurons by labeling large sets of neurons with random RNA sequences (\"barcodes\").",
      "study_system": "Mouse cortex/LC; barcode-sequencing single-neuron projection mapping.",
      "evidence_refs": [
        {
          "ref": "paper:paper-f6fa8c802d45"
        }
      ],
      "section_title": "8. Cross-areal mouse cortico-cortical excitatory connectivity — hierarchical feedforward and feedback as recurrent loops at the network level; Allen Mouse Connectivity Atlas anchored views",
      "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": "Sindbis virus-delivered random RNA barcodes; barcode mRNA extracted from dissected target regions and sequenced to recover single-cell projection patterns.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "replicated",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }