在单细胞分辨率下揭开全基因组马赛克微卫星突变
bioRxiv : the preprint server for biology
|February 12, 2026
概括
我们开发了BayesMonSTR来检测单细胞中的马赛克短串重复 (STR) 突变. 这揭示了较长的STR插入和删除随着年龄的增长而积累,特别是在大脑神经元中,影响基因调节.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 衰老研究研究 衰老研究
背景情况:
- 短串联重复 (STR) 是可变的基因组区域,参与基因调节和疾病.
- 在单细胞分辨率上检测马赛克STR突变在技术上是具有挑战性的.
研究的目的:
- 开发一种强大的算法,以单细胞分辨率准确检测马赛克STR突变.
- 研究人类衰老和不同细胞类型中马赛克STR变异的景观.
主要方法:
- 开发用于马赛克STR突变检测的BayesMonSTR算法.
- 单细胞分析人类组织,以识别和量化STR突变.
- 对不同细胞类型 (神经元,B细胞,肺上皮) 和年龄的突变负担进行比较分析.
主要成果:
- 贝叶斯MonSTR可以准确检测马赛克STR突变.
- 马赛克STR插入和删除 (indels) 在衰老的细胞中积累.
- 前额叶皮质神经元的STR突变负担高于B细胞或肺细胞,老年神经元中缺失增加.
- 突变在转录起始点和高表达基因的活性增强剂中得到丰富.
结论:
- BayesMonSTR为发现与疾病相关的马赛克STR突变提供了基础.
- 衰老与马赛克STR内部的积累有关,特别是在神经元中.
- 马赛克STR变异代表了人类发展和衰老的以前未经探索的方面.
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