Version history

{
  "scope": "mouse, GE single-cell sequencing (Drop-seq+Smart-seq2+10x)",
  "claim_text": "Mayer et al. (2018) profiled 5,622 MGE + 7,401 CGE + 8,543 LGE single cells via Drop-seq with average 1,626 UMI/cell, plus 400 Dlx6a-Cre;RCE-negative GE cells via Smart-seq2 (deeper sequencing) for mitotic-progenitor enrichment, and additional 10x Genomics datasets from Lhx6-GFP-sorted MGE/CGE for cross-validation — establishing a multi-platform single-cell developmental atlas of mouse ganglionic eminences.",
  "raw_fields": {
    "n": 21566,
    "doi": "10.1038/nature25999",
    "claim": "Mayer et al. (2018) profiled 5,622 MGE + 7,401 CGE + 8,543 LGE single cells via Drop-seq with average 1,626 UMI/cell, plus 400 Dlx6a-Cre;RCE-negative GE cells via Smart-seq2 (deeper sequencing) for mitotic-progenitor enrichment, and additional 10x Genomics datasets from Lhx6-GFP-sorted MGE/CGE for cross-validation — establishing a multi-platform single-cell developmental atlas of mouse ganglionic eminences.",
    "title": null,
    "cite_key": "Mayer2018",
    "evidence": "Drop-seq, Smart-seq2 (custom), and 10x Genomics scRNA-seq across mouse E13.5/E14.5 ganglionic eminences and FACS-sorted Lhx6+/Lhx6- populations.",
    "effect_size": "21,566+ Drop-seq GE cells + 400 Smart-seq2 + 10x validation",
    "figure_data": [
      {
        "type": "sample_count",
        "unit": "cells",
        "value": 5622,
        "metric": "Drop-seq cells profiled from mouse MGE",
        "source": "Mayer 2018 Drop-seq",
        "context": "E13.5"
      },
      {
        "type": "sample_count",
        "unit": "cells",
        "value": 7401,
        "metric": "Drop-seq cells profiled from mouse CGE",
        "source": "Mayer 2018 Drop-seq",
        "context": "E14.5"
      },
      {
        "type": "sample_count",
        "unit": "cells",
        "value": 8543,
        "metric": "Drop-seq cells profiled from mouse LGE",
        "source": "Mayer 2018 Drop-seq",
        "context": "E14.5"
      }
    ],
    "text_access": "fulltext",
    "study_system": "mouse, GE single-cell sequencing (Drop-seq+Smart-seq2+10x)",
    "_source_cluster": "cluster_02_development_lineage",
    "replication_status": "primary",
    "_source_cluster_index": 115,
    "claim_source_sentence": "After cell dissociation, we utilized Drop-seq 9 to sequence the transcriptomes of 5,622 single cells from the MGE, 7,401 from the CGE, and 8,543 from the LGE, from replicate experiments, observing on average 1626 UMI/cell.",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "After cell dissociation, we utilized Drop-seq 9 to sequence the transcriptomes of 5,622 single cells from the MGE, 7,401 from the CGE, and 8,543 from the LGE, from replicate experiments, observing on average 1626 UMI/cell."
  },
  "section_id": "section_03",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_03_evidence_package.json",
  "effect_size": "21,566+ Drop-seq GE cells + 400 Smart-seq2 + 10x validation",
  "review_repo": "ComputationalReviewVIP",
  "section_ref": "wiki_page:computationalreviewvip-03-development",
  "source_kind": "review_finding",
  "source_path": "evidence/section_03_evidence_package.json",
  "source_refs": [
    "paper:paper-c3e9fd7af6d3"
  ],
  "source_span": "After cell dissociation, we utilized Drop-seq 9 to sequence the transcriptomes of 5,622 single cells from the MGE, 7,401 from the CGE, and 8,543 from the LGE, from replicate experiments, observing on average 1626 UMI/cell.",
  "study_system": "mouse, GE single-cell sequencing (Drop-seq+Smart-seq2+10x)",
  "evidence_refs": [
    {
      "ref": "paper:paper-c3e9fd7af6d3"
    }
  ],
  "section_title": "Developmental Origins and Postnatal Maturation",
  "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": "Drop-seq, Smart-seq2 (custom), and 10x Genomics scRNA-seq across mouse E13.5/E14.5 ganglionic eminences and FACS-sorted Lhx6+/Lhx6- populations.",
  "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
  "replication_status": "primary",
  "review_package_ref": "analysis_bundle:ab-2ce40c33e827",
  "source_artifact_ref": "wiki_page:computationalreviewvip-03-development",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_03_evidence_package.json",
  "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}