人类基因组中增强剂-基因调节相互作用的百科全书
Andreas R Gschwind1,2, Kristy S Mualim1,3, Alireza Karbalayghareh4
1Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
bioRxiv : the preprint server for biology
|November 28, 2023
概括
研究人员使用先进的模型和实验在许多细胞类型中创建了大量增强剂-基因相互作用的资源. 这有助于理解基因调节,并将遗传变异与疾病联系起来.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 识别转录增强剂及其向基因对于理解基因调节至关重要.
- 人类遗传变异显著影响疾病,通常通过非编码区域.
- 目前用于绘制增强剂-基因相互作用的现有方法存在局限性.
研究的目的:
- 创建和评估一个全面的资源增强剂-基因监管相互作用.
- 开发和验证用于增强剂基因调节的最先进的预测模型.
- 为增强器功能提供见解,并改进疾病变体解释.
主要方法:
- 综合预测模型,染色质状态,3D接触和大规模的遗传扰乱 (ENCODE联盟).
- 开发了一个使用CRISPR扰动,eQTL和GWAS变体的系统基准测试管道.
- 创建了一个新的预测模型,ENCODE-rE2G,使用代扰动和监督机器学习.
主要成果:
- 在352种细胞类型和组织中绘制了超过1300万个增强剂-基因调控相互作用.
- 在预测增强剂-基因链接方面,ENCODE-rE2G模型取得了最先进的性能.
- 确定了增强器网络的全球性质以及影响增强器-促进器通信的因素.
结论:
- 开发的资源和模型显著推进了基因调节和人类遗传学的研究.
- 增强将非编码变体与复杂疾病的向基因和细胞类型联系起来的能力.
- 对增强剂功能的新见解,包括促进剂类的作用和增强剂-增强剂协同作用.
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