- 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"
}