单细胞多组学揭示了通过可解释的机器学习在阿尔茨海默病中破坏的质基因调节程序
bioRxiv : the preprint server for biology
|April 1, 2025
概括
这项研究揭示了质细胞基因调节如何在阿尔茨海默病 (AD) 中改变,使用先进的单细胞多组学. 关键发现突出了溶性载体 (SLC) 基因和转录因子在AD病变发生过程中的作用.
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.
- 细胞生物学 细胞生物学
背景情况:
- 阿尔茨海默氏病 (AD) 的发病包括复杂的细胞和分子机制,这些机制尚未完全理解.
- 单细胞多组技术为研究疾病中的细胞类型特定变化提供了前所未有的分辨率.
研究的目的:
- 通过使用集成单细胞转录组学 (scRNA-seq) 和染色体可访问性 (scATAC-seq) 在质子群中研究阿尔茨海默病 (AD) 的分子机制.
- 开发和验证一个强大的分析工作流程,以实现多主题数据集成和跨模式调整.
主要方法:
- 在西雅图阿尔茨海默氏症脑细胞图谱 (SEA-AD) 联盟中,分析了来自26个人类大脑样本的配对scRNA-seq和scATAC-seq数据.
- 多omics集成方法的基准测试,批量校正和跨模式对齐,以创建一个统一的细胞状态空间.
- 功能推断和可解释的机器学习来识别与AD相关的转录和表观基因特征.
主要成果:
- 在质子群中发现了与AD相关的基因表达和途径改变.
- 在AD中发现了Solute Carrier (SLC) 家族基因在多种质细胞类型中的显著参与.
- 发现了由转录因子介导的质细胞特异性调节程序,如JUN,FOSL2,ZNF家族和SOX家族,分别在星体细胞,微质细胞和寡质细胞中.
结论:
- 这项研究提供了阿尔茨海默病中被破坏的质细胞调节程序的高分辨率视图.
- 这些发现为AD相关基因调节提供了新的见解,并建议潜在的治疗点.
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