Rozek Wojciech, Kwasnik Malgorzata, Socha Wojciech, Czech Bartosz, Rola Jerzy
Department of Virology, National Veterinary Research Institute, 24-100 Pulawy, Poland.
GeneStat Bartosz Czech, 51-503 Wroclaw, Poland.
Int J Mol Sci. 2024 Dec 24;26(1):12. doi: 10.3390/ijms26010012.
Small nucleolar RNAs (snoRNAs) are non-coding RNAs (ncRNAs) that regulate many cellular processes. Changes in the profiles of cellular ncRNAs and those secreted in exosomes are observed during viral infection. In our study, we analysed differences in expression profiles of snoRNAs isolated from exosomes of influenza (IAV)-infected and non-infected MDCK cells using high-throughput sequencing. The analysis revealed 133 significantly differentially regulated snoRNAs (131 upregulated and 2 downregulated), including 93 SNORD, 38 SNORA, and 2 SCARNA. The most upregulated was SNORD58 (log2FoldChange = 9.61), while the only downregulated snoRNAs were SNORD3 (log2FC = -2.98) and SNORA74 (log2FC = -2.67). Several snoRNAs previously described as involved in viral infections were upregulated, including SNORD27, SNORD28, SNORD29, SNORD58, and SNORD44. In total, 533 interactors of dysregulated snoRNAs were identified using the RNAinter database with an assigned confidence score ≥ 0.25. The main groups of predicted interactors were transcription factors (TFs, 169 interactors) and RNA-binding proteins (RBPs, 130 interactors). Among the most important were pioneer TFs such as POU5F1, SOX2, CEBPB, and MYC, while in the RBP category, notable interactors included Polr2a, TNRC6A, IGF2BP3, and FMRP. Our results suggest that snoRNAs are involved in pro-viral activity, although follow-up studies including experimental validation would be beneficial.
小核仁RNA(snoRNAs)是非编码RNA(ncRNAs),可调节许多细胞过程。在病毒感染期间可观察到细胞ncRNAs及其在外泌体中分泌的ncRNAs的谱变化。在我们的研究中,我们使用高通量测序分析了从感染流感病毒(IAV)和未感染的MDCK细胞外泌体中分离的snoRNAs的表达谱差异。分析揭示了133个显著差异调节的snoRNAs(131个上调和2个下调),包括93个SNORD、38个SNORA和2个SCARNA。上调最多的是SNORD58(log2倍变化=9.61),而唯一下调的snoRNAs是SNORD3(log2FC=-2.98)和SNORA74(log2FC=-2.67)。一些先前描述为参与病毒感染的snoRNAs上调,包括SNORD27、SNORD28、SNORD29、SNORD58和SNORD44。使用RNAinter数据库确定了533个失调snoRNAs的相互作用分子,其指定的置信度得分≥0.25。预测的相互作用分子的主要类别是转录因子(TFs,169个相互作用分子)和RNA结合蛋白(RBPs,130个相互作用分子)。其中最重要的是先驱转录因子,如POU5F1、SOX2、CEBPB和MYC,而在RBP类别中,值得注意的相互作用分子包括Polr2a、TNRC6A、IGF2BP3和FMRP。我们的结果表明,snoRNAs参与病毒前体活性,尽管包括实验验证在内的后续研究将是有益的。