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在scRNA-seq中的基因表示与转录的3'端的常见动机相关
Xinling Li1, Greg Gibson2, Peng Qiu1
1The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Frontiers in bioinformatics
|May 31, 2023
概括
某些基因在单细胞RNA测序 (scRNA-seq) 中经常被不足地检测到,这是由于多个T基因. 这一发现有助于解释数据稀疏性,并为scRNA-seq分析的归算策略提供信息.
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) 数据的特点是高稀疏性,其中很大一部分为零数.
- 这种稀缺性,通常归因于技术中断,给下游分析带来了挑战,并需要归算方法.
研究的目的:
- 为了调查特定的基因是否在scRNA-seq.q.中被系统地检测不足.
- 为了确定这些未被发现的基因的共同特征.
主要方法:
- 从公共存储库中收集了53个人类样本的配对批量和scRNA-seq数据.
- 伪批量基因表达特征是通过在细胞中平均scRNA-seq数据来生成的.
- 进行了批量和伪批量表达特征之间的比较,以确定未被检测到的基因.
- 对已识别的基因进行了基因丰富分析.
主要成果:
- 与散装RNA-seq相比,scRNA-seq中始终没有检测到基因的一个子集,这对于随机化来说是一个强大的发现.
- 在这些未被发现的基因的poly (A) 尾前的350bp区域观察到聚 (T) 基因的丰富.
结论:
- 特定的基因在scRNA-seq.中表现出低检测的倾向.
- 聚T) 基因可能通过形成具有mRNA聚A) 尾的发针结构来导致低检测,从而阻碍图书馆准备期间的捕获.
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