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PMID: 41827061 已发表 · epublish 英语

Single cell protein profiling of focal cortical dysplasia in a patient requiring multiple resections.

Acta neuropathologica communications ·第 14 卷 ·第 1 期 ·2026-03-13

Elsayed NA, Naftel RP, Mobley BC, Alexander AL, Toland AM, Brockman AA, Irish JM, Ihrie RA, Ess KC

摘要

Epilepsy affects millions worldwide with many failing to respond to standard treatments. Drug-refractory epilepsy requiring surgical intervention often presents due to developmental aberrations, such as focal cortical dysplasia (FCD). In FCD type II, somatic mutations in the mTOR pathway allow excessive activation of the mTOR kinase, causing unregulated cell growth and differentiation. Ex vivo studies of resected brain tissues offer a direct window into epileptogenic brain and disease pathophysiology. Recent studies implicate abnormal cell fate specification in FCD, but it is unclear if mutant cells are directly epileptogenic and/or whether they impact neighboring cells. Using a custom 43-antibody mass cytometry panel, we broadly assessed cell lineage and functional state across multiple sequential resections from a female child with FCD harboring a mosaic gain-of-function AKT3 mutation. Our approach used unsupervised machine learning tools to define protein-level features of dysplasia-associated cells and revealed cell populations associated with clinical outcomes. While AKT3 mutational burden did not correlate with clinical outcomes, protein profiling identified a distinct population of CUX1-high cells correlating with seizure control. Furthermore, we identified a similar cell population across multiple additional cortical malformation cases. This work demonstrates the advantage of deep single-cell protein profiling of surgically resected epilepsy tissue and provides insight on disease mechanisms that can be overlooked in traditional genetic or transcriptional studies.

关键词
AKT3 Epilepsy Focal cortical dysplasia Gain of function Mass cytometry
文献信息
期刊
Acta neuropathologica communications
期刊简称
Acta Neuropathol Commun
ISSN
2051-5960
发表日期
2026-03-13
语言
英语
国家/地区
England
NLM ID
101610673
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