scPOEM:高峰和基因的强有力的共同嵌入揭示高峰基因调节
Yan Zhong1, Yuntong Hou1, Yongjian Yang2
1KLATASDS-MOE, School of Statistics, East China Normal University, Shanghai, China.
Bioinformatics (Oxford, England)
|September 1, 2025
概括
scPOEM是一种新的方法,可联合分析单细胞中的基因表达和染色质可访问性. 它改善了基因调节关系的识别,为基因调节提供了新的见解.
科学领域:
- 表观遗传学
- 单细胞基因组学
- 计算生物学
背景情况:
- 识别影响基因表达的调节元素对于理解基因调节和疾病至关重要.
- 配对单细胞RNA测序和单细胞ATAC测序可以同时对基因表达和染色质可访问性进行分析.
- 单细胞的数据稀疏性和噪声对信号检测构成挑战.
研究的目的:
- 开发一种新的嵌入方法来联合分析单细胞基因表达和染色质可访问性数据.
- 改进对调控元件及其与基因的关系的识别.
- 在单细胞分辨率上发现基因调节机制的新见解.
主要方法:
- scPOEM (基于单细胞元路径的Omics EMbedding) 将染色质可访问性峰值和表达基因投射到共享的低维空间中.
- 整合了峰值峰值,峰值基因和基因基因相互作用,以密切表示相关的峰值基因对.
- 使用基于元路径的方法进行强大的数据集成.
主要成果:
- scPOEM生成了峰值和基因的稳定可靠表示.
- 在恢复具有生物意义的峰值基因调节关系方面优于现有方法.
- 在基因调节的子组和差异分析方面提供了新的见解.
结论:
- scPOEM有效地整合多组单细胞数据以揭示基因调节机制.
- 提高对单细胞分辨率的转录调节的理解.
- 为表观基因组和转录基因组分析提供了强大的工具.
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