EVscope:一个全面的生物信息学管道,用于准确和可靠地分析来自细胞外囊的总RNA测序
Yiyong Zhao1,2,3, Himanshu Chintalapudi1,2,3, Ziqian Xu1,2
1Stephen & Denise Adams Center for Parkinson's Disease Research of Yale School of Medicine, New Haven, CT 06510, USA.
bioRxiv : the preprint server for biology
|July 16, 2025
概括
EVscope是一个新的生物信息管道,标准化了细胞外囊 (EV) RNA测序分析. 它解决了诸如低RNA丰度和污染等挑战,改善了生物标志物发现和细胞间通信研究.
科学领域:
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
- 基因组学就是基因组学.
背景情况:
- 细胞外囊泡 (EV) RNA测序对于生物标志物发现和理解细胞间通信至关重要.
- 挑战包括低RNA丰度,碎片化,污染以及缺乏标准化分析工作流.
- 强有力的质量控制和EVRNA的表征是必不可少的.
研究的目的:
- 引入EVscope,这是一个开源生物信息管道,用于处理EV RNA-seq数据集.
- 提供标准化的工作流程,以进行强大的质量控制和EVRNA的表征.
- 改进碎片化和低丰度EVRNA的分析.
主要方法:
- 开发了EVscope,一个使用优化期望最大化 (EM) 算法的开源生物信息管道.
- 整合了27个步骤:质量控制,污染评估,调整,UMI去复制,RNA量化和gDNA污染纠正.
- 包含了19种RNA生物型和两个circRNA检测算法的全面注释.
- 包括一个模块来推断EVRNAs的组织/细胞起源.
主要成果:
- EVscope显著改善了对碎片化EV RNA的多映射读取分配.
- 该管道独特地生成基于EM的BigWig文件,用于下游分析.
- 提供全面的HTML报告,详细说明质量控制,污染和RNA特征.
- 能够从参考数据集推断出EV RNA的起源.
结论:
- EVscope为EV RNA-seq分析提供了一个标准化,可复制和用户友好的解决方案.
- 它提高了EV RNA表征的准确性和深度,促进了生物标记物的发现.
- 该管道支持广泛的RNA生物型,并提供对EV起源的见解.
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