单细胞等位基因特异性表达分析揭示了动态和细胞类型特异性的调节效应
Guanghao Qi1,2, Benjamin J Strober3, Joshua M Popp1
1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Nature communications
|October 9, 2023
概括
通过DAESC,现在可以在单细胞中进行差异性等位基特异性表达 (ASE) 分析. 这种方法揭示了在分化和2型糖尿病期间的动态基因调节,揭示了对基因控制的新见解.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 计算生物学 计算生物学
背景情况:
- 差异性等位基特异性表达 (ASE) 对于理解 cis 调节至关重要.
- 单细胞RNA测序 (scRNA-seq) 可在单细胞分辨率下进行ASE测量.
- 现有的统计方法对于基于scRNA-seq的ASE分析是不够的.
研究的目的:
- 开发一种使用多个个体scRNA-seq数据进行差异性ASE分析的统计方法.
- 为了应对诸如细胞在个体和隐性单 haplotype 阶段化中的非独立性等挑战.
主要方法:
- 使用单细胞数据 (DAESC) 引入差异性等位基表达.
- 通过模拟进行统计验证.
- 纳入非独立性和隐含的哈普洛型分阶段.
主要成果:
- DAESC成功分析了scRNA-seq数据的差异性ASE.
- 在105个iPSC系中确定了657个在内皮分化过程中具有动态调节的基因.
- 在2型糖尿病患者和对照者之间,在胰腺内分泌细胞中发现了不同调节的基因.
结论:
- DAESC是一种强大的新方法,用于单细胞ASE分析.
- 该方法为生物环境中的基因调节提供了新的见解.
- DAESC促进了对动态基因调节和疾病机制的研究.
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