综合性单细胞多基因网络分析,以阐明神经发育障碍中的表观遗传调节
Amal Alshardan1, Yazeed Alashban2, Mohammed Alahmadi3
1Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University (PNU), P.O. Box 84428, Riyadh 11671, Saudi Arabia.
SLAS technology
|January 24, 2026
概括
这项研究引入了一个集成的单细胞多组学框架,以发现神经发育障碍 (NDD) 中的表观遗传和转录性变化. 它揭示了与异常大脑发育有关的SOX11和CHD8等关键调节器.
科学领域:
- 神经科学是一个神经科学.
- 基因组学就是基因组学.
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
背景情况:
- 神经发育障碍 (NDD) 源于大脑形成中断,基础上的表观遗传和转录机制尚不清楚.
- 现有的单细胞研究往往是单模式的,限制了多层分子失调的分辨率.
研究的目的:
- 开发和应用一个整合性的单细胞多组学框架,用于分析NDD中的表观遗传和转录性变异.
- 确定细胞类型特定的调节网络,量化NDD相关细胞群中的分子偏差.
主要方法:
- 组合的单细胞RNA测序 (scRNA-seq),单细胞测定转化酶可访问的染色体测序 (scATAC-seq) 和单细胞DNA甲基化概况.
- 采用了正统的相关性分析,多重对齐,潜变量建模和网络推理用于整合性分析.
- 开发人类和小鼠大脑组织和患者衍生的神经前代模型.
主要成果:
- 确定了神经前体和激发性神经元,这些神经元在NDD中表现出最显著的多模式变化.
- 观察到促进剂高甲基化,增强剂可访问性降低,神经/突触通路下调.
- 通过集成网络建模,SOX11和CHD8被确定为涉及异常谱系规范的主调节器.
结论:
- 综合性框架提供了对NDD多层分子失调的统一观点.
- 产生了NDD的机制性假设,突出了生物标志物发现和治疗干预的潜力.
- 在增强剂-基因链接,跨物种保护和监管模块重建方面证明了框架的准确性.
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