Version history

{
  "scope": "mouse V1 cortex; SMART-seq scRNA-seq",
  "claim_text": "Tasic et al. (2016) used scRNA-seq to identify 49 transcriptomic cell types in adult mouse primary visual cortex (V1), including 23 GABAergic, 19 glutamatergic, and 7 non-neuronal types.",
  "raw_fields": {
    "n": 1679,
    "doi": "10.1038/nn.4216",
    "claim": "Tasic et al. (2016) used scRNA-seq to identify 49 transcriptomic cell types in adult mouse primary visual cortex (V1), including 23 GABAergic, 19 glutamatergic, and 7 non-neuronal types.",
    "title": null,
    "cite_key": "Tasic2016",
    "evidence": "Single-cell RNA-seq on 1,679 cells from adult mouse V1; clustered into 49 transcriptomic types: 23 GABAergic, 19 glutamatergic, 7 non-neuronal.",
    "effect_size": null,
    "text_access": "fulltext",
    "study_system": "mouse V1 cortex; SMART-seq scRNA-seq",
    "target_section": "section_02",
    "_source_cluster": "cluster_01_molecular_taxonomy",
    "replication_status": "single_study",
    "_source_cluster_index": 0,
    "claim_source_sentence": "We classified 1,679 high-quality single cells with extensive characterization into 49 transcriptomic cell types in adult mouse primary visual cortex."
  },
  "section_id": "section_02",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_02_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewVIP",
  "section_ref": "wiki_page:computationalreviewvip-02-classification",
  "source_kind": "review_finding",
  "source_path": "evidence/section_02_evidence_package.json",
  "source_refs": [
    "paper:paper-ed2a7f08ef35"
  ],
  "source_span": "We classified 1,679 high-quality single cells with extensive characterization into 49 transcriptomic cell types in adult mouse primary visual cortex.",
  "study_system": "mouse V1 cortex; SMART-seq scRNA-seq",
  "evidence_refs": [
    {
      "ref": "paper:paper-ed2a7f08ef35"
    }
  ],
  "section_title": "Molecular Identity and Transcriptomic Taxonomy",
  "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": "Single-cell RNA-seq on 1,679 cells from adult mouse V1; clustered into 49 transcriptomic types: 23 GABAergic, 19 glutamatergic, 7 non-neuronal.",
  "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
  "replication_status": "single_study",
  "review_package_ref": "analysis_bundle:ab-2ce40c33e827",
  "source_artifact_ref": "wiki_page:computationalreviewvip-02-classification",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_02_evidence_package.json",
  "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}