Investigating the important proteins in causing West Nile virus infection in retinal pigment cells

Reza Hosseinzadeh, Mahnaz Mohammadi, Saba Taheri
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Abstract

Introduction: West Nile virus is an infection transmitted through blood-sucking arthropods. Ocular manifestations are one of the characteristics of West Nile virus infection. They occur mostly in connection with severe neurological disease. In this study، using bioinformatics analysis، we investigated and identified the genes in the pathways related to West Nile virus infection in the retina. Methods: In this study, using bioinformatics methods and referring to the GEO dataset, the appropriate dataset was selected for analysis. This dataset included gene expression profiles in West Nile virus infection with retinal pigment cells. Gene clusters with high and low expression were categorized. For more accurate data evaluation,  databases such as Enrichr، STRING and Network analyst were used. The candidate genes were isolated and their protein relationship was also measured using cytoescape software version 3.7.1. The obtained values with P-Value˂0.05 were selected as significant data. Results: The number of 830 genes with high expression and 500 genes with low expression was involved in the development pathways of West Nile virus infection in the eye. Apoptosis، necroptosis، AMPK and MAPK autophagy pathways were clearly observed. After evaluating the relationship between protein networks، RIPK1، STAT1/3 and JAK2 increased expression and GSK3B، MAPK8 and TSC2 genes had decreased expression. Conclusion: The present study showed that important proteins and genes played a major role in strengthening West Nile virus inflammation in the retina, among which RIPK1,TSC2, STAT1 and JAK2 showed a more prominent role in this pathway.
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研究导致视网膜色素细胞感染西尼罗河病毒的重要蛋白质
导言:西尼罗河病毒是一种通过吸血节肢动物传播的传染病。眼部表现是西尼罗河病毒感染的特征之一。眼部表现大多与严重的神经系统疾病有关。本研究利用生物信息学分析方法,研究并确定了视网膜中与西尼罗河病毒感染相关的通路基因。研究方法本研究利用生物信息学方法,参考 GEO 数据集,选择合适的数据集进行分析。该数据集包括西尼罗河病毒感染视网膜色素细胞时的基因表达谱。对高表达和低表达的基因簇进行了分类。为了更准确地评估数据,使用了 Enrichr 丶 STRING 和 Network analyst 等数据库。使用 cytoescape 软件 3.7.1 版对候选基因进行分离,并测定其蛋白质关系。P值˂0.05为显著性数据。结果830个高表达基因和500个低表达基因参与了西尼罗河病毒感染眼球的发育途径。其中,凋亡、坏死、AMPK 和 MAPK 自噬通路清晰可见。在评估了蛋白质网络之间的关系后,RIPK1、STAT1/3 和 JAK2 表达增加,GSK3B、MAPK8 和 TSC2 基因表达减少。结论本研究表明,重要的蛋白质和基因在加强西尼罗河病毒在视网膜中的炎症反应中发挥了重要作用,其中 RIPK1、TSC2、STAT1 和 JAK2 在这一通路中的作用更为突出。
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