Version history

{
  "scope": "rat L1 somatosensory cortex acute slices, Patch-seq",
  "claim_text": "Patch-seq enables simultaneous extraction of intrinsic electrophysiology, morphology and full transcriptome from single cortical interneurons; in 67 L1 interneurons the joint Patch-seq profile shows strong agreement between firing-pattern-based class (eNGC vs SBC) and transcriptomic class.",
  "raw_fields": {
    "n": 67,
    "doi": "10.1038/nbt.3445",
    "claim": "Patch-seq enables simultaneous extraction of intrinsic electrophysiology, morphology and full transcriptome from single cortical interneurons; in 67 L1 interneurons the joint Patch-seq profile shows strong agreement between firing-pattern-based class (eNGC vs SBC) and transcriptomic class.",
    "title": null,
    "cite_key": "Cadwell2016",
    "evidence": "rat juvenile somatosensory cortex acute slices; Patch-seq workflow combining whole-cell recordings, morphology recovery, and scRNA-seq; n=67 L1 interneurons",
    "effect_size": "n=67 L1 interneurons profiled with all three modalities; concordance between firing-pattern class and transcriptomic class qualitatively strong",
    "text_access": "fulltext",
    "study_system": "rat L1 somatosensory cortex acute slices, Patch-seq",
    "_source_cluster": "cluster_04_intrinsic_electrophysiology",
    "replication_status": "replicated",
    "_source_cluster_index": 9,
    "claim_source_sentence": "In a separate set of experiments, we carried out patch-clamping on an additional set of 67 L1 interneurons in acute cortical slices using the Patch-seq protocol.",
    "replication_evidence_dois": [
      "10.1038/nbt.3443",
      "10.1126/science.adf6484",
      "10.1038/s41586-020-2907-3"
    ],
    "effect_size_source_sentence": "In a separate set of experiments, we carried out patch-clamping on an additional set of 67 L1 interneurons in acute cortical slices using the Patch-seq protocol."
  },
  "section_id": "section_05",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_05_evidence_package.json",
  "effect_size": "n=67 L1 interneurons profiled with all three modalities; concordance between firing-pattern class and transcriptomic class qualitatively strong",
  "review_repo": "ComputationalReviewVIP",
  "section_ref": "wiki_page:computationalreviewvip-05-electrophysiology",
  "source_kind": "review_finding",
  "source_path": "evidence/section_05_evidence_package.json",
  "source_refs": [
    "paper:paper-1ce98e1d2969"
  ],
  "source_span": "In a separate set of experiments, we carried out patch-clamping on an additional set of 67 L1 interneurons in acute cortical slices using the Patch-seq protocol.",
  "study_system": "rat L1 somatosensory cortex acute slices, Patch-seq",
  "evidence_refs": [
    {
      "ref": "paper:paper-1ce98e1d2969"
    }
  ],
  "section_title": "Intrinsic Electrophysiology",
  "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": "rat juvenile somatosensory cortex acute slices; Patch-seq workflow combining whole-cell recordings, morphology recovery, and scRNA-seq; n=67 L1 interneurons",
  "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
  "replication_status": "replicated",
  "review_package_ref": "analysis_bundle:ab-2ce40c33e827",
  "source_artifact_ref": "wiki_page:computationalreviewvip-05-electrophysiology",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_05_evidence_package.json",
  "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}