Autoimmune disease data | Immunoinformatics analysis

Autoimmune disease databases | Immunology system data analysis

The autoimmune diseases result from a dysfunction of the immune system due to which elements of the organism (cells, tissues or whole organs) are subjected to immune attack by agents of its own immune system. The immune response is complicated and entails numerous, different and complex mechanisms of control and regulation; still, its core discriminative power stems from the specificity of the antigen–antibody interaction. Most of the classified autoimmune diseases target nervous tissue, but the cumulative prevalence lies with endocrine system, which is implicated in more high-prevalence autoimmune syndromes.

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ImmunemiR

Allows users to get information about prioritized immune miRNA disease associations. ImmunemiR gathers miRNAs specific to inflammation, autoimmune diseases and cancer. It includes a set of 245 immune miRNAs associated with 92 Online Mendelian Inheritance in Man (OMIM) disease categories classified to specific immune diseases by a random walk ranking algorithm. Searches can be made by gene, miRNA or disease.

dAUTObase

Obsolete

Collects an ever increasing number of publications on autoimmune diseases' frequencies in various populations and ethnic groups. The respective data have been hosted by a web application developed for the task. It uses three data visualization tools: the PivotViewer, the Disease Treemap and the Disease World Map, to assist the effective data querying.