活细胞共价剖析揭示了在人类转录组中RNA小分子识别的原理.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
研究人员开发了一种活细胞方法,用于映射与RNA结合的小分子,识别新的点并创建选择性RNA降解剂. 这种方法可以合理设计针对癌症等疾病的RNA向治疗方法.
科学领域:
- 化学生物学 化学生物学
- 分子生物学分子生物学
- 基因组学就是基因组学.
背景情况:
- 细胞中RNA分子很丰富,但很难用小分子准.
- 了解RNA-小分子相互作用对于开发新疗法至关重要.
研究的目的:
- 开发一种活细胞管道,用于绘制人类转录组中的小分子-RNA相互作用.
- 将已识别的RNA结合剂转化为选择性RNA降解剂.
主要方法:
- 使用碎片库和Chem-CLIP-Map-Seq.进行可扩展,公正的活细胞管道.
- 基于分子特征的机器学习模型来预测RNA结合剂.
- 开发用于选择性RNA降解的RiboTACs (RNA向的奇默体).
主要成果:
- 确定了723个RNA标和结合位点,偏向于mRNA的5'和3'UTR.
- 开发了一种机器学习模型来区分粘合剂和识别有利的化学特征.
- 创造了选择性的RiboTACs,降解特定的mRNA (例如MPP7,SSC4D) 并降低蛋白质水平,影响细胞迁移.
结论:
- 确立了在细胞中识别可结合RNA位点的实用原则.
- 展示了针对RNA的小分子和降解剂的合理设计的框架.
- 展示了选择性RNA降解用于治疗应用的潜力,例如乳腺癌.
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