同位素特异性基因组学解码非编码基因组的基因目标和机制
Tim P Hasenbein1,2, Sarah Hoelzl1,2, Stefan Engelhardt1,2
1Institute of Pharmacology and Toxicology, Technical University Munich (TUM), 80802 Munich, Germany.
Nucleic acids research
|October 21, 2025
概括
研究人员开发了Allelome.LINK,通过分析等位基特异性表达来预测非编码RNA (ncRNA) 点. 这种方法确定了ncRNAs和蛋白质编码基因 (pcGenes) 之间的众多调控相互作用,从而推进了对复杂疾病的理解.
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:
- 与疾病相关的变异经常发生在非编码RNA (ncRNA) 中,这是关键的调节元件.
- 识别ncRNA目标对于理解复杂疾病至关重要,但仍然是一个重大挑战.
研究的目的:
- 开发一个计算框架,用于使用等位基特异性表达 (ASE) 预测cis-acting ncRNA目标.
- 研究小鼠和人类的ncRNAs和蛋白质编码基因 (pcGenes) 之间的调控相互作用.
主要方法:
- 开发了Allelome.LINK框架,以关联ncRNA和pcGene ASE.
- 将框架应用于小鼠器官数据和大型人类数据集 (近1000个人).
- 集成的H3K27ac ChIP-seq数据用于增强剂识别和GWAS数据用于变种分配.
主要成果:
- 在小鼠中确定了397个ncRNA-pcGene ASE事件,表明了调节关系.
- 在人类中发现了2291个ncRNA-mRNA ASE事件,对eQTLs具有很高的验证率 (77.47%).
- 将GWAS变异与ncRNA目标联系起来,提供机械洞察力.
结论:
- Allelome.LINK有效地预测了ncRNA的目标,并揭示了调节机制.
- 这种策略解码非编码基因组的cis-acting景观,有可能解释疾病变异.
- 增加测序数据的未来应用有望实现全面的非编码基因组分析.
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