Crosstalk between epitranscriptomic and epigenomic modifications and its implication in human diseases.

IF 11.1 Q1 CELL BIOLOGY Cell genomics Pub Date : 2024-08-14 Epub Date: 2024-07-08 DOI:10.1016/j.xgen.2024.100605
Chengyu Li, Kexuan Chen, Qianchen Fang, Shaohui Shi, Jiuhong Nan, Jialin He, Yafei Yin, Xiaoyu Li, Jingyun Li, Lei Hou, Xinyang Hu, Manolis Kellis, Xikun Han, Xushen Xiong
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Abstract

Crosstalk between N6-methyladenosine (m6A) and epigenomes is crucial for gene regulation, but its regulatory directionality and disease significance remain unclear. Here, we utilize quantitative trait loci (QTLs) as genetic instruments to delineate directional maps of crosstalk between m6A and two epigenomic traits, DNA methylation (DNAme) and H3K27ac. We identify 47 m6A-to-H3K27ac and 4,733 m6A-to-DNAme and, in the reverse direction, 106 H3K27ac-to-m6A and 61,775 DNAme-to-m6A regulatory loci, with differential genomic location preference observed for different regulatory directions. Integrating these maps with complex diseases, we prioritize 20 genome-wide association study (GWAS) loci for neuroticism, depression, and narcolepsy in brain; 1,767 variants for asthma and expiratory flow traits in lung; and 249 for coronary artery disease, blood pressure, and pulse rate in muscle. This study establishes disease regulatory paths, such as rs3768410-DNAme-m6A-asthma and rs56104944-m6A-DNAme-hypertension, uncovering locus-specific crosstalk between m6A and epigenomic layers and offering insights into regulatory circuits underlying human diseases.

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表观转录组和表观基因组修饰之间的相互关系及其对人类疾病的影响。
N6-甲基腺苷(m6A)和表观基因组之间的串扰对基因调控至关重要,但其调控方向性和疾病意义仍不清楚。在这里,我们利用数量性状位点(QTLs)作为遗传工具,勾画出了m6A与DNA甲基化(DNAme)和H3K27ac这两种表观基因组性状之间串扰的方向图。我们确定了 47 个 m6A 对 H3K27ac 和 4,733 个 m6A 对 DNAme 的调控位点,以及反方向的 106 个 H3K27ac 对 m6A 和 61,775 个 DNAme 对 m6A 的调控位点,并观察到不同调控方向的基因组位置偏好不同。将这些图谱与复杂疾病相结合,我们优先选择了 20 个全基因组关联研究(GWAS)位点,这些位点与大脑中的神经质、抑郁和嗜睡症有关;1,767 个变异与肺中的哮喘和呼气流量特征有关;249 个变异与肌肉中的冠心病、血压和脉率有关。这项研究建立了疾病调控路径,如rs3768410-DNAme-m6A-哮喘和rs56104944-m6A-DNAme-高血压,揭示了m6A和表观基因组层之间的位点特异性串扰,为人类疾病的基础调控回路提供了见解。
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