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A comprehensive database for integrated analysis of omics data in autoimmune diseases

BACKGROUND: Autoimmune diseases are heterogeneous pathologies with difficult diagnosis and few therapeutic options. In the last decade, several omics studies have provided significant insights into the molecular mechanisms of these diseases. Nevertheless, data from different cohorts and pathologies...

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Detalles Bibliográficos
Autores principales: Martorell-Marugán, Jordi, López-Domínguez, Raúl, García-Moreno, Adrián, Toro-Domínguez, Daniel, Villatoro-García, Juan Antonio, Barturen, Guillermo, Martín-Gómez, Adoración, Troule, Kevin, Gómez-López, Gonzalo, Al-Shahrour, Fátima, González-Rumayor, Víctor, Peña-Chilet, María, Dopazo, Joaquín, Sáez-Rodríguez, Julio, Alarcón-Riquelme, Marta E., Carmona-Sáez, Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223391/
https://www.ncbi.nlm.nih.gov/pubmed/34167460
http://dx.doi.org/10.1186/s12859-021-04268-4
Descripción
Sumario:BACKGROUND: Autoimmune diseases are heterogeneous pathologies with difficult diagnosis and few therapeutic options. In the last decade, several omics studies have provided significant insights into the molecular mechanisms of these diseases. Nevertheless, data from different cohorts and pathologies are stored independently in public repositories and a unified resource is imperative to assist researchers in this field. RESULTS: Here, we present Autoimmune Diseases Explorer (https://adex.genyo.es), a database that integrates 82 curated transcriptomics and methylation studies covering 5609 samples for some of the most common autoimmune diseases. The database provides, in an easy-to-use environment, advanced data analysis and statistical methods for exploring omics datasets, including meta-analysis, differential expression or pathway analysis. CONCLUSIONS: This is the first omics database focused on autoimmune diseases. This resource incorporates homogeneously processed data to facilitate integrative analyses among studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04268-4.