PolyASite v3.0:从单细胞RNA测序数据推断出的多基化位点的多物种地图
Youngbin Moon1,2, Christina J Herrmann1,2, Aleksei Mironov1,2
1Computational and Systems Biology, Biozentrum University of Basel, Spitalstrasse 41, CH-4056 Basel, Switzerland.
Nucleic acids research
|November 12, 2024
概括
这项研究介绍了PolyASite Atlas v3.0,这是使用单细胞RNA测序 (scRNA-seq) 识别的RNA多基化位点 (PAS) 的目录. 新的地图集提供了组织特定的PAS信息,增强了我们对各种组织中RNA处理的理解.
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:
- 10X基因组学单细胞RNA测序 (scRNA-seq) 捕获RNA3'末端,包括多氨酸尾巴.
- 聚adenosine 尾巴为RNA 3' 末端裂变和多化位 (PAS) 提供了直接证据.
- SCINPAS工作流是为了从scRNA-seq数据中推断PAS而开发的.
研究的目的:
- 使用scRNA-seq数据构建PolyASite Atlas的3.0版本.
- 通过聚合基于原产组织的样本来创建PAS的组织级目录.
- 与以前的基于大量测序的目录相比,提供有关PAS使用的质量新信息.
主要方法:
- 利用SCINPAS工作流来分析来自健康组织的大量人类,小鼠和虫scRNA-seq数据集.
- 将scRNA-seq样本按组织来源进行聚合,以克服细胞水平PAS检测的分辨率限制.
- 每个PAS的综合严格级别和UCSC基因组浏览器与轨道枢纽的升级集成.
主要成果:
- 构建了PolyASite Atlas v3.0版本,其中包括PAS的组织特定目录.
- 记录每个PAS的严格级别,以帮助用户平衡敏感性和特异性.
- 在UCSC基因组浏览器中开发了可视化聚合和组织特定PAS表达的轨道枢纽.
结论:
- PolyASite Atlas v3.0 提供了新的洞察力,用于从scRNA-seq.
- 该地图为研究RNA处理及其在不同组织中的作用的研究人员提供了宝贵的资源.
- 增强的数据可视化和严格性信息提高了PolyASite Atlas对各种研究应用的实用性.
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