MOI是一个全面的数据库,收集与病毒感染相关的处理过的多omics数据
Xuefei Guo1, Yang Zhao2, Fuping You2
1Institute of Systems Biomedicine, Department of Immunology, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, NHC Key Laboratory of Medical Immunology, Peking University Health Science Center, Beijing, China. guoxf2025@163.com.
Scientific reports
|June 26, 2024
概括
一个新的数据库,MOI,集中了来自3200多个病毒感染样本的多omics数据. 该资源有助于研究人员了解病毒与宿主之间的相互作用,并开发新的治疗方法.
科学领域:
- 病毒学 病毒学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 像COVID-19这样的病毒感染给全球健康带来了挑战.
- 了解病毒与宿主之间的相互作用对于开发干预措施至关重要.
- 缺乏集中式多omics数据阻碍了对宿主对病毒反应的研究.
研究的目的:
- 开发一个全面的数据库,MOI,处理与病毒感染相关的多omics数据.
- 为调查病毒与宿主相互作用提供一个集中资源.
- 促进对病毒病原和治疗开发的研究.
主要方法:
- 来自PubMed和基因表达综合 (GEO) 的综合处理的多omics数据.
- 包括超过3200个病毒感染的样本 (人类和小鼠).
- 使用标准化管道来批量处理RNA-seq,scRNA-seq,ChIP-seq和ATAC-seq数据.
主要成果:
- 开发了MOI数据库 (http://www.fynn-guo.cn/),具有用户友好的界面.
- 整合了全面的细胞标记表,基因表达数据和表观遗传景观图.
- 为数据解释提供分析工具和16个可视化图表.
结论:
- MOI 作为病毒与主机相互作用研究的宝贵存储库.
- 集中多omics数据加快了对病毒病原体的理解.
- 有助于开发针对病毒性疾病的新型治疗干预措施.
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