在规模上编辑干细胞基因组,以测量不同细胞和遗传环境中的变异效应
Shawn Fayer1,2, Riddhiman K Garge1,2, Melissa Hopkins1,3
1Department of Genome Sciences, University of Washington, Seattle, WA, USA.
medRxiv : the preprint server for health sciences
|November 26, 2025
概括
我们在人类诱导多能干细胞 (iPSC-SGE) 中开发了和基因组编辑,以评估疾病相关细胞类型的遗传变异. 这种方法可以准确识别致病变体,并增强基因组医学应用.
科学领域:
- 基因组学就是基因组学.
- 细胞生物学 细胞生物学
- 遗传医学是一种遗传医学.
背景情况:
- 变异效应多重分析 (MAVEs) 对于理解遗传变异功能至关重要.
- 目前的MAVE仅限于癌症细胞系,限制了它们在与疾病相关的人类细胞类型中的应用.
研究的目的:
- 开发和验证一种新的方法,即在人类诱导多能干细胞 (iPSC-SGE) 中进行和基因组编辑,用于大规模的变异效应评估.
- 为了使多样化的分化细胞类型和遗传背景的变异评估.
主要方法:
- 开发了iPSC-SGE,将变异库引入一个等位基因,同时编程第二个等位基因的遗传背景.
- 应用iPSC-SGE来评估心肌细胞和心脏器官中的1137种MYBPC3变异.
- 在两个不同的基因背景中评估了437个POLG变异.
主要成果:
- 准确识别的致病变体和对MYBPC3.3具有不确定的意义的已解决的变体.
- 确定了POLG的功能丧失和主导负变异,突出显示了遗传背景的影响.
- 确定了443个对iPSC和iPSC衍生的神经元生长至关重要的疾病基因,以促进iPSC-SGE的扩展.
结论:
- 通过iPSC-SGE,可以在规模上对专门的人类细胞类型进行系统的变异评估.
- 这一进步扩大了MAVE在基因组医学中的实用性.
- iPSC-SGE提供了一个强大的平台,用于理解疾病相关环境中的变异效应.
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