exRNADisease

exRNADisease catalogs extracellular RNAs (exRNAs) across body fluids to support identification of disease-associated exRNA biomarkers and comparative analyses between human diseases and healthy controls.

Key Features:

• Extensive dataset collection: Contains 18,265 samples from ten body fluids covering 78 human disease types aggregated from 88 previously published exRNA transcriptome datasets.
• Diverse RNA types: Includes six RNA classes: messenger RNAs (mRNAs), circular RNAs (circRNAs), long noncoding RNAs (lncRNAs), microRNAs (miRNAs), transfer RNA fragments (tRFs), and PIWI-interacting RNAs (piRNAs).
• Data generation technologies: Integrates datasets derived from high-throughput technologies including RNA sequencing (RNAseq) and microarray.
• Disease and control comparisons: Contains both disease and healthy control samples enabling comparative expression analyses across conditions.
• Literature evidence: Links exRNA–disease relationships to curated literature evidence.

Scientific Applications:

• Biomarker discovery: Enables identification of exRNA candidates that may serve as diagnostic or prognostic biomarkers for human diseases.
• Genome-wide deregulation analysis: Supports analysis of genome-wide exRNA expression changes associated with disease states.
• Translational and mechanistic research: Facilitates basic research into exRNA functions and translational studies toward disease diagnosis and monitoring.

Methodology:

Aggregated and curated exRNA expression datasets obtained from diverse body fluids (including RNAseq and microarray data), performed collection and validation of sample-level data, and linked entries to supporting literature evidence.