背景噪声及其消除对单细胞表达数据分析的影响
Philipp Janssen1, Zane Kliesmete1, Beate Vieth1
1Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians University, Munich, Germany.
Genome biology
|June 19, 2023
概括
在来自环境RNA的单细胞RNA测序 (scRNA-seq) 实验中,背景噪声可能会显著变化. 细胞Bender有效地量化了这种噪音,改善了标记基因检测,而不会扭曲细胞聚类.
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:
- 基于滴滴的单细胞RNA测序 (scRNA-seq) 和单核RNA测序 (snRNA-seq) 可以包含背景噪声.
- 这种噪音是由环境RNA或条形码交换引起的,读数并非来自预期的细胞.
研究的目的:
- 在scRNA-seq和snRNA-seq实验中描述背景噪声.
- 为了确定背景噪声的主要来源.
- 评估用于消除背景噪声的计算方法.
主要方法:
- 使用了三个scRNA-seq和两个snRNA-seq小鼠脏复制品.
- 来自不同小鼠亚种的细胞聚合,以识别跨基因型污染分子.
- 评估了CellBender,DecontX和SoupX在背景噪声量化和消除方面的性能.
主要成果:
- 背景噪声是高度可变的 (3-35%的每细胞UMI) 并与标记基因可检测性相关.
- 有证据表明,环境RNA是背景分子的主要来源.
- 细胞Bender 证明了最精确的噪声估计和最大的改善标记基因检测.
- 细胞聚类和分类显示出对背景噪声的稳定性,从去除中获得的收益有限.
结论:
- 在单细胞实验中更好地了解背景噪声的范围,来源和影响.
- 为scRNA-seq和snRNA-seq数据分析中的背景噪声管理提供指导.
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