Version history

{
  "scope": "mouse cortex; Patch-seq method paper",
  "claim_text": "Cadwell et al. (2016) introduced Patch-seq, a method combining whole-cell patch-clamp electrophysiology, single-cell RNA-seq, and morphological characterization on the same neuron, enabling multimodal classification of neuronal cell types in mouse cortex.",
  "raw_fields": {
    "n": 58,
    "doi": "10.1038/nbt.3445",
    "claim": "Cadwell et al. (2016) introduced Patch-seq, a method combining whole-cell patch-clamp electrophysiology, single-cell RNA-seq, and morphological characterization on the same neuron, enabling multimodal classification of neuronal cell types in mouse cortex.",
    "title": null,
    "cite_key": "Cadwell2016",
    "evidence": "Demonstration on 58 mouse cortical interneurons; transcriptome quality after pipette aspiration sufficient for clustering; correlation of ephys features with transcriptomic identity established workflow used in subsequent VIP MET-type studies.",
    "effect_size": null,
    "text_access": "fulltext",
    "study_system": "mouse cortex; Patch-seq method paper",
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    "replication_status": "single_study",
    "_source_cluster_index": 26,
    "claim_source_sentence": "To improve the classification of neuronal cell types and the functional characterization of single neurons, we present Patch-seq, a method that combines whole-cell electrophysiological patch-clamp recordings, single-cell RNA-sequencing and morphological characterization."
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  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_01_evidence_package.json",
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  "source_span": "To improve the classification of neuronal cell types and the functional characterization of single neurons, we present Patch-seq, a method that combines whole-cell electrophysiological patch-clamp recordings, single-cell RNA-sequencing and morphological characterization.",
  "study_system": "mouse cortex; Patch-seq method paper",
  "evidence_refs": [
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  "section_title": "Introduction",
  "source_policy": {
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    "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."
    ],
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  "evidence_summary": "Demonstration on 58 mouse cortical interneurons; transcriptome quality after pipette aspiration sufficient for clustering; correlation of ephys features with transcriptomic identity established workflow used in subsequent VIP MET-type studies.",
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  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_01_evidence_package.json",
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}