Details

scope
adult mouse visual cortex, matched scRNA-seq and snRNA-seq
section_id
section_07
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_07_evidence_package.json
effect_size
quantitative — ~11k genes per cell vs ~7k per nucleus; nuclear mRNA 20-50%
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-07-celltype-motifs
source_kind
review_finding
source_path
evidence/section_07_evidence_package.json
study_system
adult mouse visual cortex, matched scRNA-seq and snRNA-seq
section_title
7. Cell-type-specific E→E motifs in mouse — IT vs PT vs CT pyramidal projection classes; L5 thick-tufted recurrence; Patch-seq and Allen mouse-cortex taxonomy intersections; transcriptomic-type-specific connectivity
evidence_summary
Matched scRNA-seq and snRNA-seq of mouse visual cortex cells/nuclei with cross-modal clustering comparison.
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
single_study
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-07-celltype-motifs
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_07_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (6)
claim_text
Comparison of matched single-nucleus and single-cell RNA-seq datasets from mouse visual cortex shows that closely related neuronal types can be similarly discriminated by both methods if intronic reads are included in snRNA-seq analysis, with ~11,000 genes detected per cell vs ~7,000 per nucleus and large-pyramid nuclear-mRNA fractions estimated at 20-50%.
raw_fields
{
  "n": 0,
  "doi": "10.1371/journal.pone.0209648",
  "claim": "Comparison of matched single-nucleus and single-cell RNA-seq datasets from mouse visual cortex shows that closely related neuronal types can be similarly discriminated by both methods if intronic reads are included in snRNA-seq analysis, with ~11,000 genes detected per cell vs ~7,000 per nucleus and large-pyramid nuclear-mRNA fractions estimated at 20-50%.",
  "cite_key": "Bakken2018",
  "evidence": "Matched scRNA-seq and snRNA-seq of mouse visual cortex cells/nuclei with cross-modal clustering comparison.",
  "effect_size": "quantitative — ~11k genes per cell vs ~7k per nucleus; nuclear mRNA 20-50%",
  "text_access": "fulltext",
  "study_system": "adult mouse visual cortex, matched scRNA-seq and snRNA-seq",
  "argument_role": "supporting",
  "replication_status": "single_study",
  "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. We estimate that the nuclear proportion of total cellular mRNA varies from 20% to over 50% for large and small pyramidal neurons, respectively",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": "~11,000 genes [per cell] than nuclei (~7,000 genes)"
}
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. We estimate that the nuclear proportion of total cellular mRNA varies from 20% to over 50% for large and small pyramidal neurons, respectively
evidence_refs
[
  {
    "ref": "paper:paper-pm-30586455"
  }
]
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": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}

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