Version history
1 version on record. Newest first; the live version sits at the top with a live indicator.
- Live5/17/2026, 4:35:28 PM
ae4d8802eee6Content 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_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-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": "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": "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-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" }