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Updated: Jun 20, 2026
An Optimized Protocol for Candida albicans Infection in Schmidtea mediterranea to Study Fungal Pathogenesis and Host Defense
Published on: April 17, 2026
Proteopathogen, a protein database for studying Candida albicans--host interaction
Vital Vialás1, Rubén Nogales-Cadenas, César Nombela
1Departamento de Microbiología II, Facultad de Farmacia, Universidad Complutense de Madrid, Madrid, Spain.
Abstract:
There exist, at present, public web repositories for management and storage of proteomic data and also fungi-specific databases. None of them, however, is focused to the specific research area of fungal pathogens and their interactions with the host, and contains proteomics experimental data. In this context, we present Proteopathogen, a database intended to compile proteomics experimental data and to facilitate storage and access to a range of data which spans proteomics workflows from description of the experimental approaches leading to sample preparation to MS settings and peptides supporting protein identification. Proteopathogen is currently focused on Candida albicans and its interaction with macrophages; however, data from experiments concerning different pathogenic fungi species and other mammalian cells may also be found suitable for inclusion into the database. Proteopathogen is publicly available at http://proteopathogen.dacya.ucm.es.
Insights
Proteopathogen is a new database for fungal pathogen proteomics data. It facilitates storage and access to experimental details, focusing initially on Candida albicans interactions with host cells.
Area of Science:
- Fungal Pathogen Research
- Proteomics
- Bioinformatics
Background:
- Existing public repositories lack focus on fungal pathogen proteomics.
- There is a need for specialized databases integrating experimental workflows and host-pathogen interaction data.
Purpose of the Study:
- To introduce Proteopathogen, a novel database for fungal pathogen proteomics.
- To provide a centralized resource for storing and accessing comprehensive proteomics data related to fungal pathogens and host interactions.
Main Methods:
- Compilation of proteomics experimental data.
- Inclusion of details on experimental approaches, sample preparation, and mass spectrometry settings.
- Data organization to support protein identification via peptide evidence.
Main Results:
- Proteopathogen is established as a dedicated repository.
- The database currently focuses on *Candida albicans* interactions with macrophages.
- It is designed to accommodate data from diverse fungal species and host cells.
Conclusions:
- Proteopathogen addresses a critical gap in fungal pathogen research resources.
- It offers a valuable platform for researchers studying fungal proteomics and host interactions.
- The database promotes data sharing and accessibility in the field.
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