- claim_text
Coordinated Patch-seq and whole-brain morphology of mouse V1 excitatory neurons defines 16 integrated morpho-electric-transcriptomic (MET) types and reconstructs 300 complete morphologies; transcriptomic variation within and across MET-types plus anatomical location predicts the long-range projection target of individual neurons.
- raw_fields
{
"n": "16 MET-types; 300 reconstructed neurons",
"doi": "10.1101/2023.11.25.568393",
"claim": "Coordinated Patch-seq and whole-brain morphology of mouse V1 excitatory neurons defines 16 integrated morpho-electric-transcriptomic (MET) types and reconstructs 300 complete morphologies; transcriptomic variation within and across MET-types plus anatomical location predicts the long-range projection target of individual neurons.",
"cite_key": "Sorensen2023",
"evidence": "Coordinated Patch-seq and whole-brain morphology data sets of excitatory neurons in mouse V1, unified with a multi-step classifier linking transcriptomic identity to projection targets.",
"effect_size": null,
"text_access": "abstract_only",
"study_system": "mouse primary visual cortex excitatory neurons, Patch-seq + complete-morphology reconstruction",
"argument_role": "supporting",
"replication_status": "replication_unknown",
"claim_source_sentence": "From the Patch-seq data, we defined 16 integrated morpho-electric-transcriptomic (MET)-types; in parallel, we reconstructed the complete morphologies of 300 neurons... this variation, along with the anatomical location of the cell, can be used to predict the projection targets of individual neurons.",
"source_provenance_status": "non_substring_match",
"replication_evidence_dois": [],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-pm-38168270"
]
- source_span
From the Patch-seq data, we defined 16 integrated morpho-electric-transcriptomic (MET)-types; in parallel, we reconstructed the complete morphologies of 300 neurons... this variation, along with the anatomical location of the cell, can be used to predict the projection targets of individual neurons.
- evidence_refs
[
{
"ref": "paper:paper-pm-38168270"
}
]- 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"
}