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Related Experiment Video

Updated: Jan 11, 2026

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SVAtlas: a comprehensive single extracellular vesicle omics resource.

Zhonghui Wei1,2,3, Na Zhou1,2, Ming Jing4

  • 1Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250100, China.

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|November 18, 2025
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Summary

SVAtlas is the first database integrating single extracellular vesicle (EV) multi-omics data. This resource accelerates discovery of EV biomarkers for disease diagnostics and personalized therapies.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Genomics

Background:

  • Extracellular vesicles (EVs) mediate intercellular communication and are crucial in disease.
  • Single-EV analysis offers higher precision than bulk studies but lacks integrated data.
  • Existing methods mask unique molecular signatures essential for targeted diagnostics.

Purpose of the Study:

  • To develop the first comprehensive database integrating multi-omics data from single EVs.
  • To provide a resource for exploring EV heterogeneity and disease-specific markers.
  • To facilitate the clinical translation of single-EV analysis.

Main Methods:

  • Development of SVAtlas, a database integrating single-EV datasets from 2015-2025.
  • Inclusion of protein, RNA, DNA, lipid, and metabolite data from 276 EV projects.
  • Incorporation of experimental parameters, heterogeneity analyses, and analysis pipelines.

Main Results:

  • SVAtlas integrates 8120 protein, 106 RNA, 2 DNA, and 8 lipid/metabolite entries.
  • The database covers 31 diseases, 32 tissues, 10 biofluids, and five species.
  • Includes an LLM-based QA tool for detailed exploration of single-EV omics data.

Conclusions:

  • SVAtlas is a unique resource for single-EV multi-omics research.
  • The database empowers researchers to explore EV heterogeneity and identify biomarkers.
  • SVAtlas promotes accelerated clinical translation of EV-based diagnostics and therapies.