Version history

{
  "scope": "mouse and rat neocortical neurons (mixed cell classes)",
  "claim_text": "Patch-seq combined whole-cell electrophysiology, single-cell RNA-seq and biocytin morphology in the same neurons, demonstrating in mouse and rat neocortex that gene expression patterns can predict morphological features (e.g. axonal arborization extent) and physiological features (e.g. action-potential amplitude) of individual neurons.",
  "raw_fields": {
    "n": 58,
    "doi": "10.1038/nbt.3445",
    "claim": "Patch-seq combined whole-cell electrophysiology, single-cell RNA-seq and biocytin morphology in the same neurons, demonstrating in mouse and rat neocortex that gene expression patterns can predict morphological features (e.g. axonal arborization extent) and physiological features (e.g. action-potential amplitude) of individual neurons.",
    "cite_key": "Cadwell2016",
    "evidence": "Multimodal Patch-seq characterization of 58 neocortical neurons (mouse and rat) with downstream regression of morphological/electrophysiological features onto gene expression.",
    "effect_size": "qualitative — transcriptome predicts cross-modal phenotypic features",
    "text_access": "fulltext",
    "study_system": "mouse and rat neocortical neurons (mixed cell classes)",
    "argument_role": "supporting",
    "replication_status": "independently_replicated",
    "claim_source_sentence": "Using this approach, we generate electrophysiological and molecular profiles of 58 neocortical cells and show that gene expression patterns can be used to infer the morphological and physiological properties such as axonal arborization and action potential amplitude of individual neurons",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [
      "10.1038/nprot.2017.120",
      "10.1038/s41586-020-2907-3"
    ],
    "effect_size_source_sentence": "gene expression patterns can be used to infer the morphological and physiological properties such as axonal arborization and action potential amplitude of individual neurons"
  },
  "section_id": "section_07",
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  "effect_size": "qualitative — transcriptome predicts cross-modal phenotypic features",
  "review_repo": "ComputationalReviewRecurrence",
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  "source_span": "Using this approach, we generate electrophysiological and molecular profiles of 58 neocortical cells and show that gene expression patterns can be used to infer the morphological and physiological properties such as axonal arborization and action potential amplitude of individual neurons",
  "study_system": "mouse and rat neocortical neurons (mixed cell classes)",
  "evidence_refs": [
    {
      "ref": "paper:paper-1ce98e1d2969"
    }
  ],
  "section_title": "7. Cell-type-specific E→E motifs in mouse — IT vs PT vs CT pyramidal projection classes; L5 thick-tufted recurrence; Patch-seq and Allen mouse-cortex taxonomy intersections; transcriptomic-type-specific connectivity",
  "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."
    ],
    "source_commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
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  "evidence_summary": "Multimodal Patch-seq characterization of 58 neocortical neurons (mouse and rat) with downstream regression of morphological/electrophysiological features onto gene expression.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "independently_replicated",
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  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_07_evidence_package.json",
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  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}