精确而紧的腺因基编辑器的蛋白质核酸语言模型辅助设计
Jingxuan Ren1, Jiawei Yao2, Qiuyu Cao1
1State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, China.
Nature communications
|December 13, 2025
概括
研究人员使用语言模型开发了一种更小,更精确的腺基编辑器 (ABE). 这个新工具,PNLM-pcABE,减少了不必要的编辑,并显示了基因治疗和疾病建模的前景.
科学领域:
- 生物技术是生物技术.
- 基因编辑 基因编辑
- 分子生物学分子生物学
背景情况:
- 腺基编辑器 (ABEs) 对基因疗法至关重要,但像ABE8e这样的现有高效版本存在局限性.
- ABE8e表现出过多的旁观者和非目标编辑事件,并且尺寸大,阻碍了临床应用.
研究的目的:
- 设计一个改进的腺基编辑器 (ABE),具有高活性,更小的编辑窗口和更小的尺寸.
- 为了克服当前ABE技术的局限性,用于增强基因疗法应用.
主要方法:
- 为ABE设计开发一个预训练的蛋白质核酸受约束语言模型 (PNLM).
- 最小的ABE8e变体PNLM-pcABE的工程,具有优化的编辑特性.
- 在HEK293T细胞中评估PNLM-pcABE的活性,编辑窗口精度和非目标效应.
主要成果:
- 与ABE8e相比,设计的PNLM-pcABE实现了27%的尺寸缩小.
- PNLM-pcABE表现出高活性,具有精确的3核酸编辑窗口和最小的目标外事件.
- 与ABE8e相比,在病原性突变校正中获得了高达133.5倍的精度改进.
- 成功生成了一种带有所需基因突变 (~100%效率) 的白色小鼠模型,并使用脂质纳米粒子 (LNP) 输送在体内显著减少PCSK9表达.
结论:
- 新型PNLM-pcABE代表了ABE技术的重大进步,提供了更高的精度和更小的尺寸.
- 对于精确的基因疗法应用和高效的疾病建模,PNLM-pcABE显示出巨大的潜力.
- 这种基于语言模型的方法为设计下一代基因编辑工具提供了一个强大的策略.
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