Version history

1 version on record. Newest first; the live version sits at the top with a live indicator.

  1. Live bec2e090aa81
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "mouse V1 paired sn/scRNA-seq benchmark",
      "claim_text": "Matched single-nucleus and single-cell RNA-seq from mouse visual cortex showed that, despite ~11,000 genes detected per whole cell vs ~7,000 per nucleus, closely related neuronal types can be similarly discriminated by snRNA-seq when intronic reads are retained.",
      "raw_fields": {
        "n": null,
        "doi": "10.1371/journal.pone.0209648",
        "claim": "Matched single-nucleus and single-cell RNA-seq from mouse visual cortex showed that, despite ~11,000 genes detected per whole cell vs ~7,000 per nucleus, closely related neuronal types can be similarly discriminated by snRNA-seq when intronic reads are retained.",
        "title": null,
        "cite_key": "Bakken2018",
        "evidence": "Matched snRNA-seq and scRNA-seq from mouse V1; comparison of cell-type discrimination power and per-cell gene detection.",
        "effect_size": null,
        "text_access": "abstract_only",
        "study_system": "mouse V1 paired sn/scRNA-seq benchmark",
        "target_section": "section_02",
        "_source_cluster": "cluster_01_molecular_taxonomy",
        "replication_status": "single_study",
        "_source_cluster_index": 53,
        "claim_source_sentence": "Although more transcripts are detected in individual whole cells (~11,000 genes) than nuclei (~7,000 genes), we demonstrate that closely related neuronal cell types can be similarly discriminated with both methods if intronic sequences are included in snRNA-seq analysis."
      },
      "section_id": "section_01",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_01_evidence_package.json",
      "effect_size": null,
      "review_repo": "ComputationalReviewVIP",
      "section_ref": "wiki_page:computationalreviewvip-01-introduction",
      "source_kind": "review_finding",
      "source_path": "evidence/section_01_evidence_package.json",
      "source_refs": [
        "paper:paper-pm-30586455"
      ],
      "source_span": "Although more transcripts are detected in individual whole cells (~11,000 genes) than nuclei (~7,000 genes), we demonstrate that closely related neuronal cell types can be similarly discriminated with both methods if intronic sequences are included in snRNA-seq analysis.",
      "study_system": "mouse V1 paired sn/scRNA-seq benchmark",
      "evidence_refs": [
        {
          "ref": "paper:paper-pm-30586455"
        }
      ],
      "section_title": "Introduction",
      "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": "Matched snRNA-seq and scRNA-seq from mouse V1; comparison of cell-type discrimination power and per-cell gene detection.",
      "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
      "replication_status": "single_study",
      "review_package_ref": "analysis_bundle:ab-2ce40c33e827",
      "source_artifact_ref": "wiki_page:computationalreviewvip-01-introduction",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_01_evidence_package.json",
      "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
    }