Version history

{
  "scope": "Patch-seq protocol (mouse, human, macaque brain slices)",
  "claim_text": "A refined Patch-seq protocol identifies nucleus extraction and slow electrode withdrawal as key determinants of high-quality multimodal capture, enabling large-scale combined electrophysiological, morphological, and transcriptomic characterization across mouse, human, and macaque brain tissue.",
  "raw_fields": {
    "n": 0,
    "doi": "10.7554/elife.65482",
    "claim": "A refined Patch-seq protocol identifies nucleus extraction and slow electrode withdrawal as key determinants of high-quality multimodal capture, enabling large-scale combined electrophysiological, morphological, and transcriptomic characterization across mouse, human, and macaque brain tissue.",
    "cite_key": "Lee2021",
    "evidence": "Direct methods paper on scaling Patch-seq — central to cluster_14 'large-scale Patch-seq' near-horizon topic.",
    "effect_size": null,
    "text_access": "fulltext",
    "study_system": "Patch-seq protocol (mouse, human, macaque brain slices)",
    "argument_role": "supporting",
    "replication_status": "single-study",
    "claim_source_sentence": "In a large-scale manner, we systematically modified the existing Patch-seq protocols, using feedback from experimental metadata to reveal the key determinants of success, including nucleus extraction and slow withdrawal of the recording electrode ( Lipovsek et al., 2020 ; Cadwell et al., 2015 ; Fuzik et al., 2015 ; Cadwell et al., 2017 ).",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": null
  },
  "section_id": "section_16",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewRecurrence",
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  "source_kind": "review_finding",
  "source_path": "evidence/section_16_evidence_package.json",
  "source_refs": [
    "paper:paper-pm-34387544"
  ],
  "source_span": "In a large-scale manner, we systematically modified the existing Patch-seq protocols, using feedback from experimental metadata to reveal the key determinants of success, including nucleus extraction and slow withdrawal of the recording electrode ( Lipovsek et al., 2020 ; Cadwell et al., 2015 ; Fuzik et al., 2015 ; Cadwell et al., 2017 ).",
  "study_system": "Patch-seq protocol (mouse, human, macaque brain slices)",
  "evidence_refs": [
    {
      "ref": "paper:paper-pm-34387544"
    }
  ],
  "section_title": "16. Synthesis — which computational claims the mouse-cortex E→E empirical record actually supports, where the bottleneck observations are, and what an inhibition-free, single-species, basic-research analytic framing misses",
  "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": "Direct methods paper on scaling Patch-seq — central to cluster_14 'large-scale Patch-seq' near-horizon topic.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single-study",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-16-synthesis",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}