Details

scope
Mouse PFC (SPIDER-Seq integrated atlas)
section_id
section_15
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json
effect_size
machine-learning predicted neuron projections from gene profile + spatial info; applied to fear-recall engram neurons
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
Mouse PFC (SPIDER-Seq integrated atlas)
evidence_summary
Integrated projectome + scRNA-seq + spatial omics in mouse PFC; ML-based per-neuron projection prediction; demonstrated on fear-recall engram neurons.
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
SPIDER-Seq integrates viral-barcoded retrograde tracing with single-cell sequencing and spatial omics to produce an integrated single-cell projectome–transcriptome–anatomy atlas of mouse prefrontal cortex, identifying gradient spatial occupation of projection neurons and predicting individual neuron projection targets from gene expression with high accuracy.
raw_fields
{
  "n": 0,
  "doi": "10.1093/nsr/nwag004",
  "claim": "SPIDER-Seq integrates viral-barcoded retrograde tracing with single-cell sequencing and spatial omics to produce an integrated single-cell projectome–transcriptome–anatomy atlas of mouse prefrontal cortex, identifying gradient spatial occupation of projection neurons and predicting individual neuron projection targets from gene expression with high accuracy.",
  "cite_key": "Sun2026",
  "evidence": "Integrated projectome + scRNA-seq + spatial omics in mouse PFC; ML-based per-neuron projection prediction; demonstrated on fear-recall engram neurons.",
  "effect_size": "machine-learning predicted neuron projections from gene profile + spatial info; applied to fear-recall engram neurons",
  "text_access": "fulltext",
  "study_system": "Mouse PFC (SPIDER-Seq integrated atlas)",
  "argument_role": "supporting",
  "replication_status": "single-study",
  "claim_source_sentence": "We developed a Single-cell Projectome-transcriptome In situ Deciphering Sequencing (SPIDER-Seq) technique by combining viral barcoding tracing with single-cell sequencing and spatial-omics. This empowers us to delineate an integrated single-cell spatial molecular, cellular, anatomic and projectomic atlas of the mouse prefrontal cortex (PFC).",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": "leveraging machine learning, we predicted neuron projections with high accuracy by combining gene profiles and spatial information."
}
source_refs
[
  "paper:paper-17dd9a2f7b5c"
]
source_span
We developed a Single-cell Projectome-transcriptome In situ Deciphering Sequencing (SPIDER-Seq) technique by combining viral barcoding tracing with single-cell sequencing and spatial-omics. This empowers us to delineate an integrated single-cell spatial molecular, cellular, anatomic and projectomic atlas of the mouse prefrontal cortex (PFC).
evidence_refs
[
  {
    "ref": "paper:paper-17dd9a2f7b5c"
  }
]
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"
}

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