- claim_text
A refined Patch-seq protocol identifies nucleus extraction and slow electrode withdrawal as key determinants of high-quality multimodal capture, enabling large-scale combined electrophysiological, morphological, and transcriptomic characterization across mouse, human, and macaque brain tissue.
- raw_fields
{
"n": 0,
"doi": "10.7554/elife.65482",
"claim": "A refined Patch-seq protocol identifies nucleus extraction and slow electrode withdrawal as key determinants of high-quality multimodal capture, enabling large-scale combined electrophysiological, morphological, and transcriptomic characterization across mouse, human, and macaque brain tissue.",
"cite_key": "Lee2021",
"evidence": "Direct methods paper on scaling Patch-seq — central to cluster_14 'large-scale Patch-seq' near-horizon topic.",
"effect_size": null,
"text_access": "fulltext",
"study_system": "Patch-seq protocol (mouse, human, macaque brain slices)",
"argument_role": "supporting",
"replication_status": "single-study",
"claim_source_sentence": "In a large-scale manner, we systematically modified the existing Patch-seq protocols, using feedback from experimental metadata to reveal the key determinants of success, including nucleus extraction and slow withdrawal of the recording electrode ( Lipovsek et al., 2020 ; Cadwell et al., 2015 ; Fuzik et al., 2015 ; Cadwell et al., 2017 ).",
"source_provenance_status": "ok",
"replication_evidence_dois": [],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-pm-34387544"
]
- source_span
In a large-scale manner, we systematically modified the existing Patch-seq protocols, using feedback from experimental metadata to reveal the key determinants of success, including nucleus extraction and slow withdrawal of the recording electrode ( Lipovsek et al., 2020 ; Cadwell et al., 2015 ; Fuzik et al., 2015 ; Cadwell et al., 2017 ).
- evidence_refs
[
{
"ref": "paper:paper-pm-34387544"
}
]- 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"
}