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 - Medical Laboratory Technology
- Veterinary (miscellaneous)
- Molecular Biology
- Biochemistry
- Medicine (miscellaneous)
Abstract
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,
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.