在疾病诊断和预后生物标志物中对RNA修饰的研究:目前的状况和挑战
Hua Shi1, Zhouying Li1, Quan Zou2,3
1School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Ligong Road, Jimei District, Xiamen, Fujian 361024, China.
Briefings in bioinformatics
|July 23, 2025
概括
在疾病中,RNA的修改会发生变化,因此具有作为诊断生物标记物的潜力. 本综述探讨了用于识别这些RNA修饰生物标记物的机器学习方法,用于疾病诊断和预后.
科学领域:
- 分子生物学分子生物学
- 基因组学就是基因组学.
- 生物化学 生物化学
背景情况:
- RNA的修改是细胞过程中重要的转录后调节者.
- 异常的RNA修饰水平与各种人类疾病有关.
- 特定的修改,如m6A,m1A和A-to-I编辑,显示了与疾病相关的改变.
研究的目的:
- 审查用于识别RNA修饰相关生物标记物的统计和机器学习方法.
- 探索RNA修饰在疾病诊断和预后中的作用.
- 为临床应用提供有关采矿RNA修饰生物标记物的见解.
主要方法:
- 统计和机器学习技术的审查.
- 分析生物信息学工具和评估指标.
- 探索常见的RNA修饰,修饰蛋白质和机制.
主要成果:
- 在多种疾病中观察到RNA修饰的显著变化.
- RNA修饰及其调节因子显示出作为疾病生物标志物的前景.
- 机器学习算法在发现与RNA修饰相关的生物标志物方面非常有效.
结论:
- RNA修饰生物标志物具有早期疾病诊断和预后的潜力.
- 需要进一步的研究来克服临床应用中的挑战.
- 本综述作为RNA修饰生物标志物发现的参考.
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