Trichophyton rubrum Expression Database (TrED)
Author Information
Author(s): Yang Jian, Chen Lihong, Wang Lingling, Zhang Wenliang, Liu Tao, Jin Qi
Primary Institution: State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention
Hypothesis
The study aims to create an integrated database to facilitate the study of dermatophytes and enhance the development of effective diagnostic and treatment strategies.
Conclusion
TrED provides a comprehensive resource and platform to assist functional genomic studies in dermatophytes.
Supporting Evidence
- Trichophyton rubrum is the most common cause of fungal skin infections in humans.
- The database includes expression data from T. rubrum during various life stages and responses to antifungal agents.
- TrED integrates data from multiple sources to provide a comprehensive view of T. rubrum biology.
Takeaway
TrED is a database that helps researchers study a common skin fungus by organizing a lot of important information about it.
Methodology
The database integrates genetic, transcriptomic, and metabolomic data of T. rubrum and comparative genomics results of dermatophytes.
Limitations
The database relies on publicly available data, which may be incomplete or outdated.
Digital Object Identifier (DOI)
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