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在免疫调节中提名增强剂激活SNP的数据驱动预测

Markus Hoffmann¹, Tiago Vaz², Shreeti Chhatrala^3,4

¹Section of Genetics and Physiology, Digestive and Kidney Diseases, National Institute of Diabetes, National Institutes of Health, Bethesda, MD, 20892, USA. markus.hoffmann@nih.gov.

|February 26, 2025

概括

我们开发了一种计算方法,用于在调节区域中识别功能单核酸多态 (SNP). 这种方法优先考虑SNP影响Janus酶信号转换器和转录通路的激活器,以便进一步研究.

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:

数以百万计的人类单核酸多态 (SNP) 已被确定,但它们的功能影响仍然在很大程度上是未知的.
大多数SNP位于基因间区域,并可能通过改变 cis-regulatory elements (CREs) 中的转录因子结合位影响基因调节.
鉴定功能性SNP是具有挑战性的,因为大量的SNP和潜在的结合动机.

研究的目的:

开发和评估一个数据驱动的计算协议,用于在CREs中对功能SNP进行优先级,以进行实验验证.
为了研究 Janus 激酶 (JAK) - 信号转换器和转录激活器 (STAT) 信号通路内的 SNP.

主要方法:

扫描了人类基因组 (hg38) 寻找与正规STATTF结合基因 (TTCnnnGAA) 相差一个核酸的DNA序列.
过了超过330万个SNP的初始池,跨越近1700万个STAT图案.
利用开放的染色体,基因表达数据,接近免疫反应基因和跨物种保护来改进SNP选择.

主要成果:

在JAK-STAT路径中确定了六个具有高潜力的功能获取SNP.
这些优先级的SNP位于可能影响基因调节的区域.
该协议有效地将数百万个SNP缩小到可管理的集合,以便进一步调查.

结论:

将基因组,表观基因组和跨物种保护数据结合起来,可以有效地识别监管SNP.
该研究提供了一组专注的候选SNP用于实验验证,可能影响干扰素调节.
这种方法有助于更有效地探索功能性SNP及其在基因表达和疾病中的作用.

关键词:

创建新的转录因子结合位点.气体图案的气体图案在JAK-STAT路径上.

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