与单分子RNA成像相比,单细胞RNA测序算法低估了转录噪声的变化
Neha Khetan1, Binyamin Zuckerman1, Giuliana P Calia1
1Gladstone|UCSF Center for Cell Circuitry, University of California, San Francisco, San Francisco, CA 94158, USA.
Cell reports methods
|December 11, 2024
概括
研究人员发现,大多数单细胞RNA测序 (scRNA-seq) 算法可以量化转录噪声,这是细胞变化的关键来源. 一种化学化合物5--2--脱氧氨酸 (IdU) 有效地放大了这种噪声.
科学领域:
- 分子生物学分子生物学
- 基因组学就是基因组学.
- 细胞生物学 细胞生物学
背景情况:
- 基因转录中的随机波动或噪音是细胞间变异的主要驱动因素.
- 精确量化全基因组转录噪声至关重要,但仍然具有挑战性.
- 了解噪音对于破译细胞异质性和功能至关重要.
研究的目的:
- 评估和比较各种单细胞RNA测序 (scRNA-seq) 算法来量化转录噪声.
- 评估5'--2'-脱氧氨 (IdU) 作为放大转录噪声分析的工具的有效性.
- 为了验证scRNA-seq噪声量化与单分子RNA光在位杂交 (smFISH).
主要方法:
- 利用5'--2'-脱氧氨 (IdU) 来放大人类和小鼠细胞中的转录噪声.
- 应用多个scRNA-seq数据分析算法来量化全基因组噪声.
- 对比scRNA-seq噪声量化与单分子RNA光在位杂交 (smFISH) 对选定基因的结果.
主要成果:
- 大多数经过测试的scRNA-seq算法报告了大约90%的基因的放大噪声,而不会改变平均表达水平.
- smFISH分析证实了大多数检查的基因的噪声放大.
- 与smFISH相比,所有scRNA-seq算法都倾向于低估噪音变化.
结论:
- 大多数scRNA-seq算法都适合量化转录噪声,即使是简单的规范化.
- IdU诱导的噪声增强是一种全球透的现象,在平静状态下增加噪声.
- 这种基于IdU的方法为研究转录噪声的生理影响提供了一个有希望的方法.
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