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基于系统生物学方法筛选与高滴度溶瘤麻疹病毒产量相关的候选基因。

Screening of candidate genes associated with high titer production of oncolytic measles virus based on systems biology approach.

机构信息

Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.

Department of Molecular Virology, Pasteur Institute of Iran, Tehran, Iran.

出版信息

Virus Genes. 2022 Aug;58(4):270-283. doi: 10.1007/s11262-022-01902-y. Epub 2022 Apr 27.

Abstract

The number of viral particles required for oncolytic activity of measles virus (MV) can be more than a million times greater than the reported amount for vaccination. The aim of the current study is to find potential genes and signaling pathways that may be involved in the high-titer production of MV. In this study, a systems biology approach was considered including collection of gene expression profiles from the Gene Expression Omnibus (GEO) database, obtaining differentially expressed genes (DEGs), performing gene ontology, functional enrichment analyses, and topological analyses on the protein-protein interaction (PPI) network. Then, to validate the in-silico data, total RNA was isolated from five cell lines, and full-length cDNA from template RNA was synthesized. Subsequently, quantitative reverse transcription-PCR (RT-qPCR) was employed. We identified five hub genes, including RAC1, HSP90AA1, DNM1, LTBP1, and FSTL1 associated with the enhancement in MV titer. Pathway analysis indicated enrichment in PI3K-Akt signaling pathway, axon guidance, proteoglycans in cancer, regulation of actin cytoskeleton, focal adhesion, and calcium signaling pathways. Upon verification by RT-qPCR, the relative expression of candidate genes was generally consistent with our bioinformatics analysis. Hub genes and signaling pathways may be involved in understanding the pathological mechanisms by which measles virus manipulates host factors in order to facilitate its replication. RAC1, HSP90AA1, DNM1, LTBP1, and FSTL1 genes, in combination with genetic engineering techniques, will allow the direct design of high-throughput cell lines to answer the required amounts for the oncolytic activity of MV.

摘要

麻疹病毒(MV)溶瘤活性所需的病毒颗粒数量可能比报告的疫苗接种量多出一百万倍以上。本研究的目的是寻找可能参与 MV 高滴度生产的潜在基因和信号通路。在这项研究中,考虑采用系统生物学方法,包括从基因表达综合数据库(GEO)收集基因表达谱,获得差异表达基因(DEGs),对蛋白质-蛋白质相互作用(PPI)网络进行基因本体论、功能富集分析和拓扑分析。然后,为了验证计算机数据,从五个细胞系中分离总 RNA,并从模板 RNA 合成全长 cDNA。随后,采用定量逆转录 PCR(RT-qPCR)。我们鉴定了五个与 MV 滴度增强相关的关键基因,包括 RAC1、HSP90AA1、DNM1、LTBP1 和 FSTL1。通路分析表明,PI3K-Akt 信号通路、轴突导向、癌症中的蛋白聚糖、肌动蛋白细胞骨架调节、焦点黏附和钙信号通路富集。通过 RT-qPCR 验证,候选基因的相对表达与我们的生物信息学分析基本一致。关键基因和信号通路可能参与理解麻疹病毒操纵宿主因子的病理机制,以促进其复制。RAC1、HSP90AA1、DNM1、LTBP1 和 FSTL1 基因与基因工程技术相结合,将允许直接设计高通量细胞系,以满足 MV 溶瘤活性所需的数量。

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