科恩2.0 - 面向条件的监管网络2.0
Ricky Wai Tak Leung1,2, Xinying Zhang1, Zhuobin Chen1
1School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong 518107, China.
Computational and structural biotechnology journal
|April 24, 2025
概括
面向条件的监管网络 (CORN) 数据库现在将数千种条件与特定的基因监管子网络联系起来. 此资源有助于个性化医学和天然化合物药理学的研究.
科学领域:
- 分子生物学分子生物学
- 系统生物学 系统生物学
- 生物信息学是一种生物信息学.
背景情况:
- 基因调节允许生物通过核酸结合蛋白 (NBPs) 进行适应,就像转录因子 (TFs) 一样.
- 转录监管网络 (TRN) 可以作为特定条件的转录监管子网络 (TRSN) 来分析稳定性和实用性.
- 基于条件的监管网络 (CORN) 数据库提供基于条件的TRSN.
研究的目的:
- 介绍CORN 2.0,一个更新和扩展的特定条件的TRSN数据库.
- 突出CORN 2.0在个性化医学,诱导多能性和天然化合物药理学中的实用性.
- 为研究不同条件下的基因调节提供一个全面的资源.
主要方法:
- 在各种条件下对转录监管子网络 (TRSN) 的精选和整合数据.
- 在52个人类细胞系中,与71934个TRSN相关的7540个特定条件,涉及542个转录因子 (TF).
- 在CORN 2.0数据库中包含1550个自然化合物触发的TRSN.
主要成果:
- CORN 2.0显著扩大了基于条件的TRSN的覆盖范围.
- 数据库将数千个特定条件,包括自然化合物,与相关的TRSN联系起来.
- 证明了CORN在个性化医学,多能性和天然产品药理学中的应用.
结论:
- 在特定条件下了解基因调节的CORN 2.0是一个宝贵的资源.
- 该数据库促进了对疾病机制和治疗干预措施的研究.
- CORN可以探索基因调节网络如何对包括自然化合物在内的各种刺激做出反应.
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