Introducing dAUTObase: a first step towards the global scale geoepidemiology of autoimmune syndromes and diseases

Gkantouna, Vassiliki; Kambouris, Manousos E.; Viennas, Emmanouil; Ioannou, Zafeiria-Marina; Paraskevas, Michael; Lagoumintzis, George; Zagoriti, Zoi; Patrinos, George P.; Tzimas, Giannis; Poulas, Konstantinos

doi:10.1093/bioinformatics/btu690

Cited by 8 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, researchers have developed multiple autoimmune disease-related databases, such as dAUTObase ( 7 ), The Autoimmune Disease Database (AIDB) ( 8 ) and A Gene and Autoimmiune Disease Association Database (GAAD) ( 9 ), to facilitate studies on autoimmune diseases. Among them, dAUTObase provides the incidence of autoimmune diseases in different countries and regions around the world, and AIDB and GAAD provide information on the relationship of critical genes with relevant diseases.…”

Section: Introductionmentioning

confidence: 99%

A transcriptome atlas and interactive analysis platform for autoimmune disease

et al. 2022

View full text Add to dashboard Cite

With the rapid development of next-generation sequencing technology, many laboratories have produced a large amount of single-cell transcriptome data of blood and tissue samples from patients with autoimmune diseases, which enables in-depth studies of the relationship between gene transcription and autoimmune diseases. However, there is still a lack of a database that integrates the large amount of autoimmune disease transcriptome sequencing data and conducts effective analysis. In this study, we developed a user-friendly web database tool, Interactive Analysis and Atlas for Autoimmune disease (IAAA), which integrates bulk RNA-seq data of 929 samples of 10 autoimmune diseases and single-cell RNA-seq data of 783 203 cells in 96 samples of 6 autoimmune diseases. IAAA also provides customizable analysis modules, including gene expression, difference, correlation, similar gene detection and cell–cell interaction, and can display results in three formats (plot, table and pdf) through custom parameters. IAAA provides valuable data resources for researchers studying autoimmune diseases and helps users deeply explore the potential value of the current transcriptome data. IAAA is available. Database URL: http://galaxy.ustc.edu.cn/IAAA

show abstract

Section: Introductionmentioning

confidence: 99%