Details
- scope
- mouse, GE single-cell sequencing (Drop-seq+Smart-seq2+10x)
- 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_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)
- section_title
- Developmental Origins and Postnatal Maturation
- 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
Raw fields (5)
- 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." }- source_refs
[ "paper:paper-c3e9fd7af6d3" ]
- evidence_refs
[ { "ref": "paper:paper-c3e9fd7af6d3" } ]- 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" }