DOI: 10.1002/ame2.12384
Flu-CED:A comparative transcriptomics database of influenza virus-infected human and animal models
Yue Wu
Jue Wang
Jing Xue
Zhiguang Xiang
Jianguo Guo
Lingjun Zhan
Qiang Wei
Qi Kong
Institute of Laboratory Animal Sciences,Chinese Academy of Medical Sciences &Peking Union Medical College,National Human Diseases Animal Model Resource Center,NHC Key Laboratory of Human Disease Comparative Medicine,Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases,Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases,Beijing,China
摘要：Background:The continuing emergence of influenza virus has highlighted the value of public databases and related bioinformatic analysis tools in investigating transcriptomic change caused by different influenza virus infections in human and animal models.
Methods:We collected a large amount of transcriptome research data related to influenza virus-infected human and animal models in public databases(GEO and ArrayExpress),and extracted and integrated array and metadata.The gene expression matrix was generated through strictly quality control,balance,standardization,batch correction,and gene annotation.We then analyzed gene expression in different species,virus,cells/tissues or after antibody/vaccine treatment and imported sample metadata and gene expression datasets into the database.
Results:Overall,maintaining careful processing and quality control,we collected 8064 samples from 103 independent datasets,and constructed a comparative transcriptomics database of influenza virus named the Flu-CED database(Influenza comparative expression database, integrated and processed transcriptomic data,we established a user-friendly website for realizing the integration,online retrieval,visualization,and exploration of gene expression of influenza virus infection in different species and the biological functions involved in differential genes.Flu-CED can quickly query single and multi-gene expression profiles,combining different experimental conditions for comparative transcriptome analysis,identifying differentially expressed genes(DEGs)between comparison groups,and conveniently finding DEGs.
Conclusion:Flu-CED provides data resources and tools for analyzing gene expression in human and animal models infected with influenza virus that can deepen our understanding of the mechanisms underlying disease occurrence and development,and enable prediction of key genes or therapeutic targets that can be used for medical research.
机标关键词：databasehumanmodelsanimalcomparativeinfluenzatranscriptomicsvirus-infected
论文发表日期：2024-12-28
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：12( 881-892 )
英文信息