Version history

{
  "scope": "Mouse PFC (SPIDER-Seq integrated atlas)",
  "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."
  },
  "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",
  "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).",
  "study_system": "Mouse PFC (SPIDER-Seq integrated atlas)",
  "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"
  },
  "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"
}