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在SARS-CoV感染中用于识别tRNA衍生小非编码RNA的in silico方法

Swati Ajmeriya¹, Deepak Ramkumar Bharti², Amit Kumar³

¹Department of Biochemistry, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India.

Journal of applied genetics

|March 22, 2024

概括

在SARS-CoV感染的小鼠模型中分析了tRNA衍生小非编码RNA (tsRNAs). 在野生型的SARS-CoV感染中,tRNA片段 (tRFs) 比tRNA半部分 (tiRNAs) 更为丰富,这表明tRNAs在病毒感染中的作用.

科学领域:

分子生物学分子生物学
病毒学病毒学
基因组学就是基因组学.

背景情况:

由tRNA衍生的小型非编码RNAs (tsRNAs),包括tRNA半部分 (tiRNAs) 和tRNA片段 (tRFs),越来越多地被认为是它们在生物过程中的角色.
虽然涉及其他病毒感染,但tsRNAs在SARS-CoV感染中的参与仍然未被探索.

研究的目的:

在SARS-CoV感染的小鼠模型中全面分析tsRNA种群.
为了研究对野生型 (WT) 和减弱型 (ΔE) SARS-CoV菌株的反应中tsRNAs的差异表达.

主要方法:

使用的基因表达综合 (GEO) 数据集 GSE90624 来自SARS-CoV感染的小鼠模型.
生成了tRNA计数矩阵,并在不同时间点 (感染后2天和4天) 确定了差异表达的tRNA及其衍生的tsRNA.
在WT SARS-CoV, ΔE SARS-CoV和模拟感染样本之间比较了tsRNA配置文件.

主要成果:

在感染后2天观察到显著差异表达的tRNA,但在感染后4天没有观察到.
与 ΔE 和模拟感染样本相比,在感染 WT SARS-CoV 菌株的样本中,tRNA 片段 (tRF) 的水平高于 tRNA 半部分 (tiRNA).
这表明在SARS-CoV感染期间,tsRNAs的产生是非随机的,可能是受调节的.

结论:

这项研究提供了SARS-CoV感染期间tsRNA种群的首次全面分析.
在WT SARS-CoV感染中tRFs的明显丰富性表明这些分子在宿主-病原体相互作用中发挥了特定的作用.
这些发现暗示了tsRNAs在SARS-CoV感染的发病过程中的潜在参与.

关键词:

新冠病毒新冠病毒新冠病毒.深度测序是一种深度测序.这就是SARS-CoV.这就是sncRNA.tRFsRFs是什么意思这种tiRNAsRNAs.

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