Details

scope
Mouse cortex/LC; barcode-sequencing single-neuron projection mapping.
section_id
section_08
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json
effect_size
Demonstrated on mouse locus coeruleus and cortical targets; recovers preferred cortical target patterns at thousands-of-neurons scale.
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-08-cross-areal
source_kind
review_finding
source_path
evidence/section_08_evidence_package.json
source_span
Here we describe MAPseq (Multiplexed Analysis of Projections by Sequencing), a technique that can map the projections of thousands or even millions of single neurons by labeling large sets of neurons with random RNA sequences ("barcodes").
study_system
Mouse cortex/LC; barcode-sequencing single-neuron projection mapping.
section_title
8. Cross-areal mouse cortico-cortical excitatory connectivity — hierarchical feedforward and feedback as recurrent loops at the network level; Allen Mouse Connectivity Atlas anchored views
evidence_summary
Sindbis virus-delivered random RNA barcodes; barcode mRNA extracted from dissected target regions and sequenced to recover single-cell projection patterns.
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
replicated
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-08-cross-areal
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (5)
claim_text
MAPseq enables high-throughput single-neuron projection mapping in the mouse brain by labelling neurons with random RNA barcodes and sequencing axon contents from dissected target regions, scaling single-cell projection analysis to thousands of neurons.
raw_fields
{
  "n": null,
  "doi": "10.1016/j.neuron.2016.07.036",
  "claim": "MAPseq enables high-throughput single-neuron projection mapping in the mouse brain by labelling neurons with random RNA barcodes and sequencing axon contents from dissected target regions, scaling single-cell projection analysis to thousands of neurons.",
  "cite_key": "Kebschull2016",
  "evidence": "Sindbis virus-delivered random RNA barcodes; barcode mRNA extracted from dissected target regions and sequenced to recover single-cell projection patterns.",
  "effect_size": "Demonstrated on mouse locus coeruleus and cortical targets; recovers preferred cortical target patterns at thousands-of-neurons scale.",
  "text_access": "fulltext",
  "study_system": "Mouse cortex/LC; barcode-sequencing single-neuron projection mapping.",
  "argument_role": "supporting",
  "replication_status": "replicated",
  "claim_source_sentence": "Here we describe MAPseq (Multiplexed Analysis of Projections by Sequencing), a technique that can map the projections of thousands or even millions of single neurons by labeling large sets of neurons with random RNA sequences (\"barcodes\").",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [
    "10.1016/j.cell.2019.09.023",
    "10.1038/nature26159"
  ],
  "effect_size_source_sentence": "Applying MAPseq to the locus coeruleus (LC), we find that individual LC neurons have preferred cortical targets."
}
source_refs
[
  "paper:paper-f6fa8c802d45"
]
evidence_refs
[
  {
    "ref": "paper:paper-f6fa8c802d45"
  }
]
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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