关于监管和系统基因组学的最新发展和挑战的观点.
Julia Zeitlinger1,2, Sushmita Roy3,4, Ferhat Ay5,6,7
1Stowers Institute for Medical Research, Kansas City, MO 64112, United States.
Bioinformatics advances
|July 8, 2025
概括
了解 cis 调节代码是预测遗传变异的关键.
科学领域:
- 基因组学就是基因组学.
- 计算生物学 计算生物学
- 系统生物学 系统生物学
背景情况:
- 解读cis-regulatory代码,即由非编码DNA控制基因调节的规则,对于理解基因型-表型关系至关重要.
- 预测遗传变异如何影响生物体,细胞和分子特征,需要对基因调节有深入的了解.
研究的目的:
- 审查解决Cis监管代码问题的计算进步和挑战.
- 通过基因组学和染色体组织数据,突出显示绘制 cis 调节元件的方法,并解释它们的功能.
- 讨论序列到功能神经网络的应用,以识别与疾病相关的遗传变异和绘制基因调节网络的地图.
主要方法:
- 基因组学测试用于映射cis调节元素.
- 对3D染色体组织的分析,以确定远程调节相互作用.
- 序列到功能神经网络用于学习调节序列规则.
- 用于绘制基因调节网络的方法.
主要成果:
- 在破译Cis监管代码的计算方法方面取得了进展.
- 通过序列功能分析识别与人类疾病相关的遗传变异.
- 计算方法中的当前局限性和对比挑战.
结论:
- 像空间转录学这样的新兴技术为研究提供了新的途径.
- 开发一种适用于不同细胞类型和个体的cis-regulatory代码的更一般模型是未来的一个关键方向.
- 整合不同的数据类型对于推动我们对基因调节的理解至关重要.
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