在转录后基因调节中用于替代多化和拼接的计算方法
Naima Ahmed Fahmi1, Sourav Saha1, Qianqian Song2
1Department of Computer Science, University of Central Florida, Orlando, FL, USA.
Experimental & molecular medicine
|August 13, 2025
概括
分析替代多化 (APA) 和替代拼接 (AS) 的计算方法对于理解基因表达至关重要. 本综述涵盖了在散装和单细胞RNA测序数据中检测和分析这些必要的RNA处理事件的策略.
科学领域:
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 替代多基化 (APA) 和替代拼接 (AS) 是增加转录组多样性和调节基因表达的关键转录后机制.
- APA产生具有多种3' UTR 或编码序列的mRNA异型,影响转录稳定性,局部化和翻译.
- AS通过异构体的包含或排除改变了蛋白质的多样性,进一步使蛋白质组多样化.
研究的目的:
- 为检测和分析APA和AS事件的计算策略提供全面的概述.
- 突出各种计算方法的优点,局限性和应用.
- 探索专门为单细胞RNA测序 (scRNA-seq) 数据设计的技术.
主要方法:
- 对APA和AS检测和差异分析的现有计算工具和方法的审查.
- 基于基础技术和数据类型的方法的分类 (批量与单细胞RNA测序).
- 对分析RNA处理事件的计算方法近期进展的总结.
主要成果:
- 高通量RNA测序已经使得用于系统的APA和AS事件分析的众多计算工具的开发成为可能.
- 专业的计算策略存在于批量和单细胞RNA测序数据.
- 这些方法提供了关于APA和AS在生理学和疾病中的调节作用的见解.
结论:
- 对APA和AS的计算分析对于在人口和单细胞水平上理解基因调节至关重要.
- 该评论为使用计算方法研究RNA处理的研究人员提供了宝贵的资源.
- 计算策略的进步继续提高我们对各种生物系统的APA和AS的理解.
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