Calegari-Alves Yohana Porto, Innocente-Alves Camila, Costa Renata Pereira, Faustino Aline Martins, Farias Karyn Scheffler Schirma, Boiani Mateus, Gonçalves Bruno Samuel Ardenghi, Dorn Marcio, Beys-da-Silva Walter Orlando, Santi Lucélia
Laboratory of Molecular Microbiology and Proteomics, Faculty of Pharmacy, Federal University of Rio Grande do Sul, Porto Alegre 90610-000, RS, Brazil.
Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre 91501-970, RS, Brazil.
J Fungi (Basel). 2025 May 31;11(6):425. doi: 10.3390/jof11060425.
Cryptococcosis is a serious fungal infection mainly caused by two species, and species complexes. Even though it is considered a dangerous disease, this infection is also neglected worldwide and its research is not adequately funded. The molecular understanding of the infection, which could help in the development of specific treatments and appropriate management, is hampered, as molecular data are not of easy access. With that purpose, our group developed a molecular database, grouping published molecular data on gene and protein differential expression that occurred due to the infection. CRYPTOMICSDB presents a user-friendly interface, and users can search for both pathogen or host information and visualize data on experimental approaches, animal models or cell culture, species and strain, genes and proteins. The database features 19,462 and 986,507 total genes related to the pathogen and host views, respectively. CRYPTOMICSDB is a powerful tool that can help health workers and microbiology researchers to better understand the molecular impact caused by cryptococcosis infection process.
隐球菌病是一种主要由两种物种及物种复合体引起的严重真菌感染。尽管它被视为一种危险疾病,但这种感染在全球范围内也被忽视,其研究资金不足。由于分子数据不易获取,对该感染的分子理解受到阻碍,而这种理解有助于开发特定治疗方法和进行适当管理。为此,我们团队开发了一个分子数据库,将已发表的因感染而产生的基因和蛋白质差异表达的分子数据进行分组。CRYPTOMICSDB提供了一个用户友好的界面,用户可以搜索病原体或宿主信息,并可视化有关实验方法、动物模型或细胞培养、物种和菌株、基因和蛋白质的数据。该数据库分别具有与病原体视图和宿主视图相关的19462个和986507个总基因。CRYPTOMICSDB是一个强大的工具,可以帮助卫生工作者和微生物学研究人员更好地理解隐球菌病感染过程所造成的分子影响。