利用RNA测序数据从脓毒症剪接事件预测无义介导的mRNA降解

Predicting Nonsense-mediated mRNA Decay from Splicing Events in Sepsis using RNA-Sequencing Data.

作者信息

Shin Jaewook, Fredericks Alger M, Armstead Brandon E, Ayala Alfred, Cohen Maya, Fairbrother William G, Levy Mitchell M, Lillard Kwesi K, Raggi Emanuele, Nau Gerard J, Monaghan Sean F

机构信息

Division of Surgical Research, Department of Surgery, Rhode Island Hospital/Alpert Medical School of Brown University; Providence, 02903, USA.

Division of Pulmonary, Critical Care, and Sleep Medicine, Rhode Island Hospital/Alpert Medical School of Brown University; Providence, 02903, USA.

出版信息

medRxiv. 2025 Apr 22:2025.03.31.25324958. doi: 10.1101/2025.03.31.25324958.

Abstract

Alternative splicing (AS) and nonsense-mediated mRNA decay (NMD) are highly conserved cellular mechanisms that modulate gene expression. Here we introduce NMD pipeline that computes how splicing events introduce premature termination codons to mRNA transcripts via frameshift, then predicts the rate of PTC-dependent NMD. We utilize whole blood, deep RNA-sequencing data from critically ill patients to study gene expression in sepsis. Statistical significance was determined as adjusted p value < 0.05 and |log2foldchange| > 2 for differential gene expression and probability >= 0.9 and |DeltaPsi| > 0.1 for AS. NMD pipeline was developed based on AS data from Whippet. We demonstrate that the rate of NMD is higher in sepsis and deceased groups compared to control and survived groups, which signify purposeful downregulation of transcripts by AS-NMD or aberrant splicing due to altered physiology. Predominance of non-exon skipping events was associated with disease and mortality states. The NMD pipeline also revealed proteins with potential novel roles in sepsis. Together, these results emphasize the utility of NMD pipeline in studying AS-NMD along with differential gene expression and discovering potential protein targets in sepsis.

摘要

可变剪接(AS)和无义介导的mRNA衰变(NMD)是调节基因表达的高度保守的细胞机制。在此,我们引入了NMD流程,该流程可计算剪接事件如何通过移码将过早终止密码子引入mRNA转录本,然后预测PTC依赖性NMD的速率。我们利用重症患者的全血深度RNA测序数据来研究脓毒症中的基因表达。对于差异基因表达,统计学显著性确定为调整后的p值<0.05且|log2倍变化|>2,对于AS,概率>=0.9且|ΔPsi|>0.1。NMD流程是基于Whippet的AS数据开发的。我们证明,与对照组和存活组相比,脓毒症组和死亡组的NMD速率更高,这表明AS-NMD对转录本进行了有目的的下调或由于生理改变导致的异常剪接。非外显子跳跃事件的优势与疾病和死亡状态相关。NMD流程还揭示了在脓毒症中具有潜在新作用的蛋白质。总之,这些结果强调了NMD流程在研究AS-NMD以及差异基因表达和发现脓毒症中潜在蛋白质靶点方面的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce1f/12036704/cde63f842113/nihpp-2025.03.31.25324958v2-f0001.jpg

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