药物反应增强剂的识别通过预测染色质可访问性变化从扰乱的基因表达特征
Yongcui Wang1, Yong Wang2,3
1State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China. wangyongcui@mail.kib.ac.cn.
NPJ systems biology and applications
|May 30, 2024
概括
增强剂中的遗传变异通过改变基因表达来影响药物反应. 我们的PERD框架预测药物反应增强剂,将遗传变异与药物作用联系起来,并改善对药物基因关联的因果理解.
科学领域:
- 基因组学就是基因组学.
- 药物基因组学 药物基因组学
- 计算生物学 计算生物学
背景情况:
- 个人对药物的反应因监管元素 (如增强剂) 的遗传变异而有所不同.
- 这些变异可以通过改变转录因子结合和染色质活性来影响基因表达.
研究的目的:
- 开发一个计算框架,PERD,用于预测药物反应增强剂.
- 将增强剂中的遗传变异与药物干扰效应联系起来.
主要方法:
- 训练了一种机器学习模型,从转录组数据中预测全基因组的染色质可访问性.
- 使用ENCODE和ROADMAP数据集进行模型培训.
- 将模型应用于CMAP和CDS-DB的扰乱基因表达数据,以识别药物反应增强剂.
- 与全基因组关联研究 (PGx GWAS) 相关的鉴定增强剂.
主要成果:
- 在药物干扰反应中,鉴定了具有显著改变色素可访问性的增强剂.
- 建立了药物反应增强剂和药物基因组学关联之间的联系.
- PERD框架增强了对药物干扰因果关系的理解.
结论:
- PERD提供了一种新的方法来预测药物反应增强剂.
- 这一框架可以通过确定关键的监管要素来改善药物效应的解释.
- 增强对对药物反应和治疗疗效的遗传影响的理解.
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