Details

scope
Adult mouse brain (9 regions, Drop-seq)
section_id
section_15
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json
effect_size
690,000 cells profiled; 565 transcriptionally distinct groups; 9 brain regions
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-15-methods-limits
source_kind
review_finding
source_path
evidence/section_15_evidence_package.json
study_system
Adult mouse brain (9 regions, Drop-seq)
evidence_summary
690K-cell Drop-seq atlas; 565 cell groups; cross-region cortical glutamatergic specialization.
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
single-study
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-15-methods-limits
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (7)
claim_text
A Drop-seq atlas of 690,000 single cells across nine adult mouse-brain regions, including cortex, defined 565 transcriptionally distinct cell groups and revealed glutamatergic-neuron specialization across cortical regions — providing the cell-population scaffolding on which mouse-cortex E→E circuit synthesis is built.
raw_fields
{
  "n": 690000,
  "doi": "10.1016/j.cell.2018.07.028",
  "claim": "A Drop-seq atlas of 690,000 single cells across nine adult mouse-brain regions, including cortex, defined 565 transcriptionally distinct cell groups and revealed glutamatergic-neuron specialization across cortical regions — providing the cell-population scaffolding on which mouse-cortex E→E circuit synthesis is built.",
  "cite_key": "Saunders2018",
  "evidence": "690K-cell Drop-seq atlas; 565 cell groups; cross-region cortical glutamatergic specialization.",
  "effect_size": "690,000 cells profiled; 565 transcriptionally distinct groups; 9 brain regions",
  "text_access": "abstract_only",
  "study_system": "Adult mouse brain (9 regions, Drop-seq)",
  "argument_role": "supporting",
  "replication_status": "single-study",
  "claim_source_sentence": "To systematically ascertain and learn from these cellular specializations, we used Drop-seq to profile RNA expression in 690,000 individual cells sampled from 9 regions of the adult mouse brain. We identified 565 transcriptionally distinct groups of cells using computational approaches developed to distinguish biological from technical signals.",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": "we used Drop-seq to profile RNA expression in 690,000 individual cells sampled from 9 regions of the adult mouse brain. We identified 565 transcriptionally distinct groups of cells"
}
source_refs
[
  "paper:paper-a5fcb640f059"
]
source_span
To systematically ascertain and learn from these cellular specializations, we used Drop-seq to profile RNA expression in 690,000 individual cells sampled from 9 regions of the adult mouse brain. We identified 565 transcriptionally distinct groups of cells using computational approaches developed to distinguish biological from technical signals.
evidence_refs
[
  {
    "ref": "paper:paper-a5fcb640f059"
  }
]
section_title
15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon
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"
}

Voting as anonymous. Sign in to attribute your signals.

tokens

Replication

No replications yet

Discussion

Posting anonymously. Sign in for attribution.

No comments yet — be the first.