- claim_text
A MERFISH atlas of more than 1,100 genes in approximately 10 million cells across the entire adult mouse brain yielded a comprehensive >5,000-cluster cell-type taxonomy in >300 major classes — setting the spatial-transcriptomic baseline against which mouse-cortex E→E circuit cell-type claims must now be matched.
- raw_fields
{
"n": 10000000,
"doi": "10.1038/s41586-023-06808-9",
"claim": "A MERFISH atlas of more than 1,100 genes in approximately 10 million cells across the entire adult mouse brain yielded a comprehensive >5,000-cluster cell-type taxonomy in >300 major classes — setting the spatial-transcriptomic baseline against which mouse-cortex E→E circuit cell-type claims must now be matched.",
"cite_key": "Zhang2023b",
"evidence": "MERFISH + scRNA-seq integration; >10 million cells; >5,000 clusters in >300 major cell types; CCF-registered.",
"effect_size": ">10 million cells; >5,000 clusters; >300 major cell types",
"text_access": "fulltext",
"study_system": "Adult mouse whole brain (MERFISH + scRNA-seq atlas, BICCN-affiliated)",
"argument_role": "supporting",
"replication_status": "paired-with-Yao2023",
"claim_source_sentence": "Here we imaged a panel of more than 1,100 genes in approximately 10 million cells across the entire adult mouse brains using multiplexed error-robust fluorescence in situ hybridization12 and performed spatially resolved, single-cell expression profiling at the whole-transcriptome scale by integrating multiplexed error-robust fluorescence in situ hybridization and single-cell RNA sequencing data.",
"source_provenance_status": "ok",
"replication_evidence_dois": [
"10.1038/s41586-023-06812-z"
],
"effect_size_source_sentence": "we generated a comprehensive cell atlas of more than 5,000 transcriptionally distinct cell clusters, belonging to more than 300 major cell types, in the whole mouse brain"
}- source_refs
[
"paper:paper-748279add05a"
]
- source_span
Here we imaged a panel of more than 1,100 genes in approximately 10 million cells across the entire adult mouse brains using multiplexed error-robust fluorescence in situ hybridization12 and performed spatially resolved, single-cell expression profiling at the whole-transcriptome scale by integrating multiplexed error-robust fluorescence in situ hybridization and single-cell RNA sequencing data.
- evidence_refs
[
{
"ref": "paper:paper-748279add05a"
}
]- 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"
}