单细胞RNA-seq的稳定性用于识别差异表达基因
Yong Liu1,2, Jing Huang1,2, Rajan Pandey1
1Department of Physiology, Center of Systems Molecular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
BMC genomics
|July 2, 2023
概括
单细胞RNA测序 (scRNA-seq) 需要至少2000个细胞来稳定地识别大多数差异表达基因 (DEG). 然而,较少的细胞 (50-100) 可能足以检测具有非常小的p值或高转录丰度的DEG.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 单细胞RNA测序 (scRNA-seq) 数据通常表现出广泛的细胞群大小变化.
- 在scRNA-seq中从小细胞群中识别差异表达基因 (DEGs) 的可靠性尚未得到充分证实.
研究的目的:
- 确定scRNA-seq集群中所需的最小细胞数量,以进行可靠的DEG识别.
- 为设计和解释scRNA-seq研究提供定量指导.
主要方法:
- 对scRNA-seq和poly(A) 依赖的散装RNA测序进行比较分析.
- 利用人类诱导的多能干细胞-源自血管内皮细胞和光滑肌肉细胞.
主要成果:
- scRNA-seq集群需要≥2,000个细胞来识别大多数DEG,与大量RNA-seq.相比,差异很小.
- 拥有50-100个细胞的集群可以识别具有非常小的p值或高转录丰度 (>每百万个转录数百个) 的DEG.
结论:
- 为scRNA-seq研究设计和细胞群中的DEG鉴定提供了定量参考.
- 通知研究人员关于检测具有不同特征的DEGs的细胞数量要求.
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