Details

scope
mouse VISp; patch-seq
section_id
section_05
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_05_evidence_package.json
effect_size
28 MET-types; ~78% met-type prediction accuracy from ephys+morph
review_repo
ComputationalReviewVIP
section_ref
wiki_page:computationalreviewvip-05-electrophysiology
source_kind
review_finding
source_path
evidence/section_05_evidence_package.json
source_span
Through multimodal integrated analysis we define 28 met-types that have congruent morphological, electrophysiological, and transcriptomic properties and robust mutual predictability.
study_system
mouse VISp; patch-seq
section_title
Intrinsic Electrophysiology
evidence_summary
patch-seq characterization of 4,270 mouse VISp interneurons (transcriptome+ephys); 517 reconstructed morphologies (Gouwens et al 2020 Cell)
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
Raw fields (5)
claim_text
Multimodal patch-seq integration of >4,200 mouse VISp GABAergic interneurons defines 28 morpho-electric-transcriptomic (MET) types whose layer-specific axon innervation patterns are the principal feature distinguishing them, providing a unified VIP/SST/PV/LAMP5/SNCG taxonomy in which transcriptomic identity, intrinsic electrophysiology, and morphology are mutually predictable.
raw_fields
{
  "n": 4270,
  "doi": "10.1016/j.cell.2020.09.057",
  "claim": "Multimodal patch-seq integration of >4,200 mouse VISp GABAergic interneurons defines 28 morpho-electric-transcriptomic (MET) types whose layer-specific axon innervation patterns are the principal feature distinguishing them, providing a unified VIP/SST/PV/LAMP5/SNCG taxonomy in which transcriptomic identity, intrinsic electrophysiology, and morphology are mutually predictable.",
  "title": null,
  "cite_key": "Gouwens2020a",
  "evidence": "patch-seq characterization of 4,270 mouse VISp interneurons (transcriptome+ephys); 517 reconstructed morphologies (Gouwens et al 2020 Cell)",
  "effect_size": "28 MET-types; ~78% met-type prediction accuracy from ephys+morph",
  "text_access": "fulltext",
  "study_system": "mouse VISp; patch-seq",
  "_source_cluster": "cluster_04_intrinsic_electrophysiology",
  "replication_status": "replicated",
  "_source_cluster_index": 62,
  "claim_source_sentence": "Through multimodal integrated analysis we define 28 met-types that have congruent morphological, electrophysiological, and transcriptomic properties and robust mutual predictability.",
  "replication_evidence_dois": [
    "10.1038/s41586-020-2907-3",
    "10.1038/s41586-018-0654-5"
  ],
  "effect_size_source_sentence": "Prediction of met-types using combined electrophysiological and morphological features did have a higher accuracy (~78%) than t-type prediction."
}
source_refs
[
  "paper:paper-pm-33186530"
]
evidence_refs
[
  {
    "ref": "paper:paper-pm-33186530"
  }
]
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"
}

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