Details

scope
mouse and human neocortex (community framework)
section_id
section_11
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_11_evidence_package.json
review_repo
ComputationalReviewVIP
section_ref
wiki_page:computationalreviewvip-11-disease-translational
source_kind
review_finding
source_path
evidence/section_11_evidence_package.json
study_system
mouse and human neocortex (community framework)
section_title
Species Differences, Human Relevance, and Disease
evidence_summary
Community framework paper; argues for probabilistic transcriptome-based cell-type definition; foundation for cross-study VIP type harmonization (e.g., CCN, BICCN consortium standards).
review_bundle_ref
analysis_bundle:ab-2ce40c33e827
replication_status
replicated
review_package_ref
analysis_bundle:ab-2ce40c33e827
source_artifact_ref
wiki_page:computationalreviewvip-11-disease-translational
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_11_evidence_package.json
commit_sha
95e761177f7d2ec565983d3307c14ec238f9677c
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP
Raw fields (6)
claim_text
Yuste et al. (2020) proposed a community-based transcriptomic classification and nomenclature for neocortical cell types based on a probabilistic cell-type definition, with statistical clusters often corresponding to cell types previously defined by morphology or physiology and appearing conserved across cortical areas and species.
raw_fields
{
  "n": null,
  "doi": "10.1038/s41593-020-0685-8",
  "claim": "Yuste et al. (2020) proposed a community-based transcriptomic classification and nomenclature for neocortical cell types based on a probabilistic cell-type definition, with statistical clusters often corresponding to cell types previously defined by morphology or physiology and appearing conserved across cortical areas and species.",
  "title": null,
  "cite_key": "Yuste2020",
  "evidence": "Community framework paper; argues for probabilistic transcriptome-based cell-type definition; foundation for cross-study VIP type harmonization (e.g., CCN, BICCN consortium standards).",
  "effect_size": null,
  "text_access": "fulltext",
  "study_system": "mouse and human neocortex (community framework)",
  "target_section": "section_02",
  "_source_cluster": "cluster_01_molecular_taxonomy",
  "replication_status": "replicated",
  "_source_cluster_index": 41,
  "claim_source_sentence": "Statistical analyses of these data reveal clusters that often correspond to cell types previously defined by morphological or physiological criteria and that appear conserved across cortical areas and species. To capitalize on these new methods, we propose the adoption of a transcriptome-based taxonomy of cell types for mammalian neocortex."
}
source_refs
[
  "paper:paper-pm-32839617"
]
source_span
Statistical analyses of these data reveal clusters that often correspond to cell types previously defined by morphological or physiological criteria and that appear conserved across cortical areas and species. To capitalize on these new methods, we propose the adoption of a transcriptome-based taxonomy of cell types for mammalian neocortex.
evidence_refs
[
  {
    "ref": "paper:paper-pm-32839617"
  }
]
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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