对大规模转录组的系统分析揭示了与病毒感染相关的基因和疾病并发症
Jing Guo1, Ya Zhang1, Yueying Gao1
1Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China.
Artificial cells, nanomedicine, and biotechnology
|August 31, 2023
概括
这项研究使用血液转录组数据确定了呼吸道病毒感染的关键基因标记物. 这些生物标志物可以准确地区分受感染的个体,并揭示与其他疾病的联系,帮助公共卫生做好准备.
科学领域:
- 基因组学就是基因组学.
- 病毒学 病毒学
- 系统生物学 系统生物学
- 生物信息学是一种生物信息学.
背景情况:
- 转录组扰乱在病毒感染中很常见,会影响患者的治疗结果.
- 缺乏对病毒感染转录组和可靠生物标志物的全面了解.
研究的目的:
- 为了确定呼吸道病毒感染的强大的基因生物标志物.
- 描述表达模式,功能途径和蛋白质-蛋白质相互作用网络.
- 为了发现与病毒感染相关的潜在疾病并发症.
主要方法:
- 手动收集23个数据集,包括来自16个呼吸道病毒感染的6,197个血液转录组.
- 应用系统生物学方法与多层次生物信息学分析.
- 对基因表达,功能途径和蛋白质与蛋白质相互作用网络的分析.
主要成果:
- 识别强大的基因标记物,能够准确地分类正常与感染患者.
- 在不同病毒中发现了富含感染和免疫反应途径的保存生物过程.
- 网络分析揭示了病毒感染与神经系统疾病,瘤和代谢疾病之间的关联,与大脑组织有显著的相关性.
结论:
- 这项研究提供了关键的分子标记,并确定了病毒感染中的疾病并发症.
- 这些发现为预防未来与呼吸道病毒相关的公共卫生事件提供了理论基础.
- 鉴定的生物标志物可以帮助准确诊断和了解感染相关并发症.
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