扩大调节的覆盖范围,从高可信度的先前知识扩展到对转录因子活动的准确估计
Sophia Müller-Dott1, Eirini Tsirvouli2,3, Miguel Vazquez4
1Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany.
Nucleic acids research
|October 16, 2023
概括
这项研究引入了CollectTRI衍生的调节子,用于准确估计转录因子 (TF) 活性. 这些签名的TF基因相互作用改善了对健康和疾病中的基因调节的解释,超过了现有的资源.
科学领域:
- 分子生物学分子生物学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 基因调节对细胞过程,健康和疾病至关重要.
- 转录因子 (TFs) 通过TF规则来控制基因表达.
- 准确的TF规则是必要的,以便可靠地解释TF活动.
研究的目的:
- 通过使用CollectTRI元资源,展示和评估一系列签名的TF基因相互作用.
- 引入一个工作流程来整合信息和分配监管标志.
- 为了能够准确和全面地估计转录学数据解释的TF活动.
主要方法:
- 利用CollecTRI的元资源进行签名的TF基因相互作用.
- 开发了一个信息集成和符号分配的工作流程.
- 在扰乱实验中推断TF活动变化的评估regularon性能.
主要成果:
- 签名的CollectTRI衍生调节器在推断TF活动变化方面表现出卓越的表现.
- 展示了regularons在分析癌症类型中的TF活动概况中的实用性.
- 在单细胞水平上展示了TF活动探索.
结论:
- 来自CollectTRI的TF规则提供了对TF活动的准确和全面的估计.
- 这些规则增强了在各种生物背景下对转录学数据的解释.
- 开发的工作流适用于其他全面的知识库.
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