EVmiRNA2.0: an updated database for miRNA expression in comprehensive human extracellular vesicles

Area of Science:

• Biochemistry and Molecular Biology
• Genomics and Bioinformatics
• Cell Biology

Background:

• Extracellular vesicles (EVs) mediate intercellular communication via microRNAs (miRNAs).
• Existing EV miRNA databases lack comprehensive, up-to-date data and integrated analytical functions.
• Accurate and extensive resources are crucial for understanding EV miRNA roles in health and disease.

Purpose of the Study:

• To present EVmiRNA2.0, a significantly updated and expanded database for human EV miRNA expression.
• To provide enhanced analytical functionalities for exploring EV miRNA data.
• To facilitate research on EV-derived miRNAs in various biological contexts.

Main Methods:

• Integration of 7254 human EV small RNA sequencing (smRNA-seq) samples from 45 sources and 143 disease types.
• Development of an online differential expression analysis module for sample filtering and comparison.
• Implementation of an enhanced miRNA search system with cross-tissue, cross-fluid, and cross-cell-type expression profiles.

Main Results:

• EVmiRNA2.0 houses a 15-fold increase in EV datasets compared to its predecessor (7254 vs. 462 samples).
• The database includes flexible analysis tools for differential expression based on project, EV subtype, source, and disease stage.
• Enhanced search features provide cross-disciplinary expression data, functional annotations, predicted targets, and drug interactions.

Conclusions:

• EVmiRNA2.0 serves as a comprehensive and indispensable resource for EV miRNA research.
• The database's expanded data and improved functionalities will advance the understanding of EV miRNA expression and function.
• EVmiRNA2.0 is freely accessible, promoting wider scientific exploration.