- claim_text
Most glutamatergic neuron transcriptomic types in mouse neocortex are area-specific rather than shared between VISp and ALM, with only five shared types (one L6 CT, three L6b, and CR), correlating with their distinct long-range projection targets.
- raw_fields
{
"n": 23822,
"doi": "10.1038/s41586-018-0654-5",
"claim": "Most glutamatergic neuron transcriptomic types in mouse neocortex are area-specific rather than shared between VISp and ALM, with only five shared types (one L6 CT, three L6b, and CR), correlating with their distinct long-range projection targets.",
"cite_key": "Tasic2018",
"evidence": "Single-cell RNA sequencing of 23,822 cells from VISp and ALM combined with retrograde labelling of 2,204 cells to match transcriptomic types to projection specificity.",
"effect_size": "Best-matched area-specific glutamatergic types have a median of 78 differentially expressed genes with average eightfold difference in expression, versus shared GABAergic types with median of 2 differentially expressed genes and 5.2-fold difference",
"text_access": "fulltext",
"study_system": "mouse neocortex (VISp and ALM), single-cell RNA-seq with retrograde labelling",
"argument_role": "supporting",
"replication_status": "novel",
"claim_source_sentence": "Most glutamatergic types are area-specific. By contrast, and as previously suggested, non-neuronal and most GABAergic neuronal types are shared across cortical areas.",
"source_provenance_status": "ok",
"replication_evidence_dois": [],
"effect_size_source_sentence": "We find that the best-matched glutamatergic types have a median of 78 differentially expressed genes and average eightfold difference in expression (,)."
}- effect_size
Best-matched area-specific glutamatergic types have a median of 78 differentially expressed genes with average eightfold difference in expression, versus shared GABAergic types with median of 2 differentially expressed genes and 5.2-fold difference
- source_refs
[
"paper:paper-pm-30382198"
]
- evidence_refs
[
{
"ref": "paper:paper-pm-30382198"
}
]- 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"
}