Version history

{
  "scope": "cynomolgus monkey PFC/M1/V1 sc multi-omics + spatial",
  "claim_text": "Multi-modal single-cell transcriptomic + ATAC + Stereo-seq spatial profiling of 358,237 cells from cynomolgus PFC, M1 and V1 mapped area-specific chromatin-accessible regulatory elements onto cell types and identified excitatory-neuron-specific transcriptional regulatory networks underlying area specialization.",
  "raw_fields": {
    "n": 358237,
    "doi": "10.1038/s41467-022-34413-3",
    "claim": "Multi-modal single-cell transcriptomic + ATAC + Stereo-seq spatial profiling of 358,237 cells from cynomolgus PFC, M1 and V1 mapped area-specific chromatin-accessible regulatory elements onto cell types and identified excitatory-neuron-specific transcriptional regulatory networks underlying area specialization.",
    "title": null,
    "cite_key": "Lei2022",
    "evidence": "Multi-modal sc transcriptomic + scATAC + Stereo-seq across three cynomolgus cortical areas (n=358,237 cells).",
    "effect_size": null,
    "text_access": "abstract_only",
    "study_system": "cynomolgus monkey PFC/M1/V1 sc multi-omics + spatial",
    "target_section": "section_11",
    "_source_cluster": "cluster_01_molecular_taxonomy",
    "replication_status": "single_study",
    "_source_cluster_index": 82,
    "claim_source_sentence": "We generated single-cell transcriptomic and chromatin accessibility (single-cell ATAC) data of 358,237 cells from prefrontal cortex (PFC), primary motor cortex (M1) and primary visual cortex (V1) of adult female cynomolgus monkey brain, and integrated this dataset with Stereo-seq (spatial enhanced resolution omics-sequencing) of the corresponding cortical areas to assign topographic information to molecular states."
  },
  "section_id": "section_11",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_11_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewVIP",
  "section_ref": "wiki_page:computationalreviewvip-11-disease-translational",
  "source_kind": "review_finding",
  "source_path": "evidence/section_11_evidence_package.json",
  "source_refs": [
    "paper:paper-97d84e9549c3"
  ],
  "source_span": "We generated single-cell transcriptomic and chromatin accessibility (single-cell ATAC) data of 358,237 cells from prefrontal cortex (PFC), primary motor cortex (M1) and primary visual cortex (V1) of adult female cynomolgus monkey brain, and integrated this dataset with Stereo-seq (spatial enhanced resolution omics-sequencing) of the corresponding cortical areas to assign topographic information to molecular states.",
  "study_system": "cynomolgus monkey PFC/M1/V1 sc multi-omics + spatial",
  "evidence_refs": [
    {
      "ref": "paper:paper-97d84e9549c3"
    }
  ],
  "section_title": "Species Differences, Human Relevance, and Disease",
  "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": "Multi-modal sc transcriptomic + scATAC + Stereo-seq across three cynomolgus cortical areas (n=358,237 cells).",
  "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
  "replication_status": "single_study",
  "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"
}