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Related Experiment Video

Updated: Jan 13, 2026

Purification and microRNA Profiling of Exosomes Derived from Blood and Culture Media
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EVmiRNA2.0: an updated database for miRNA expression in comprehensive human extracellular vesicles.

Gui-Yan Xie1, Dandan Song1, Tao Luo1,2

  • 1Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Med-X Center for Informatics, Sichuan University, Chengdu 610041, China.

Nucleic Acids Research
|October 29, 2025
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Summary

EVmiRNA2.0 enhances the study of extracellular vesicle (EV)-derived microRNAs (miRNAs) with a 15-fold larger dataset and advanced analysis tools. This updated database offers comprehensive human EV miRNA expression profiles for research.

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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.