通过下一代测序实验样本来解码丰富图书馆的Aptamer特异性
bioRxiv : the preprint server for biology
|September 5, 2025
概括
一种新的方法,APTAMER特异性测序以实现有效向 (ASSET),直接量化APTAMER特异性. 这加快了用于治疗和诊断的真实阳性体的发现.
科学领域:
- 生物技术
- 分子生物学
- 基因组学
背景情况:
- 在SELEX过程中,通过测序选择回合识别RNA和DNA体.
- 目前的方法从丰富模式推断出aptamer特异性,缺乏直接量化.
研究的目的:
- 引入Aptamer特异性测序以实现有效向 (ASSET),以直接量化aptamer特异性.
- 为了使得APTAMER能够被准确地分类为真假阳性/阴性.
主要方法:
- ASSET使用下一代测序 (NGS) 与内部参考序列进行规范化.
- 它计算出具有统计意义的aptamer特异性得分,并生成特异性概况.
- 将ASSET分数与传统的SELEX测序数据进行整合.
主要成果:
- 资产特异性得分与实验测量特异性有很强的相关性.
- 该方法可以有效地将真正阳性和虚假阳性分离出来.
- 与丰富度或丰富度指标相比,ASSET的表现更为出色.
结论:
- 在SELEX之后,ASSET提供了更有效的测量标准来选择性胺基候选物.
- 这种框架加快了治疗和诊断应用的aptamer发现.
- 通过ASSET,提高了适合物识别的可靠性和效率.
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