时间共同表达:使用单细胞转录组学数据对动态基因共同表达模式的时间轨迹建模
Shuyi Yang1, Anderson Bussing2, Giampiero Marra3
1Department of Statistics, University of South Carolina, Columbia, USA. shuyi@email.sc.edu.
BMC bioinformatics
|July 30, 2025
概括
在单细胞RNA测序 (scRNAseq) 数据中的TIME-CoExpress模型非线性基因协同表达动态. 这种方法捕捉了复杂的基因相互作用和细胞发育期间的表达变化,以获得更深入的生物学见解.
科学领域:
- 基因组学就是基因组学.
- 计算生物学 计算生物学
- 发展生物学 发展生物学
背景情况:
- 单细胞RNA测序 (scRNAseq) 提供了高分辨率的转录组数据.
- 传统的基因表达分析往往忽略了基因相互作用.
- 现有的基因共同表达分析方法可能无法捕捉复杂的非线性关系.
研究的目的:
- 开发一个灵活的框架来建模非线性基因共同表达动态.
- 为了解决捕获复杂基因相互作用的现有方法的局限性.
- 为scRNAseq数据提供更全面的分析,包括基因级特征.
主要方法:
- 提出了一个基于copula的框架,命名为TIME-CoExpress.
- 集成的数据驱动的光滑功能用于非线性建模.
- 考虑到scRNAseq数据中常见的过度分散和零通胀.
主要成果:
- TIME-CoExpress成功地模拟了沿着时间轨迹的基因共同表达的非线性变化.
- 该框架捕捉了基因水平零通胀和平均表达的动态变化.
- 在小鼠下垂体胚胎发育过程中确定了差异性共同表达的基因对.
结论:
- 时代-CoExpress框架能够对scRNAseq数据中的动态,非线性变化进行可靠的识别.
- 这种方法增强了对细胞发育过程中的基因调节和生物过程的理解.
- 为整个发育过程中复杂的基因相互作用提供了更深入的见解.
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