biostudies-literatureWu YBeijing Municipal Natural Science FoundationNatural Science Foundation of Beijing MunicipalityChinese Academy of Medical Sciences Initiative for Innovative MedicineNational Key Research and Development Program of China881-892https://www.ebi.ac.uk/biostudies/studies/S-EPMC11680469biostudies-literatureUnknown7(6)<h4>Background</h4>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.<h4>Methods</h4>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 datasetsAnimal models and experimental medicineFlu-CED: A comparative transcriptomics database of influenza virus-infected human and animal models.PMC11680469M210272021‐I2M‐1‐0352021-I2M-1-0352021YFF0702800Guo JWei QKong QXiang ZXue JZhan LWang JWu YfalseFlu-CED: A comparative transcriptomics database of influenza virus-infected human and animal models.<h4>Background</h4>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.<h4>Methods</h4>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 datasets2024-01-01T00:00:00Z2024 Dec2025-04-04T02:36:43.778Z2025-04-04T02:36:43.778ZS-EPMC116804693837933410.1002/ame2.12384