Extracellular vesicles (EVs) are membrane-bound particles carrying diverse molecular cargos, such as proteins, nucleic acids, and lipids, which play critical roles in modulating immune responses, facilitating intercellular communication, and regulating physiological and pathological processes. Single-EV analysis, enables the identification of distinct subpopulations and molecular profiles. Characterizing these vesicle-specific signatures elucidates mechanisms of cargo loading, secretion, transfer, and vesicle-cell interactions, shedding light on their contributions to disease onset and progression.

SVAtlas, the first single-EV multi-omics database, integrating diverse molecular data including proteins, RNAs, DNAs, metabolites, and lipids. It plays a critical role in consolidating these findings to accelerate biomarker discovery and guide the development of drug-loaded liposomes for targeted therapeutics. SVAtlas aims to create comprehensive single-EV atlases from healthy and diseased human samples, facilitating the clinical translation of single-EV technologies.

SVAtlas sources its data from publications (from January 2015 to June 2025) and unpublished experimental datasets. It currently comprises 276 EV projects and 137,347,113 extracellular vesicles, covering 42 tissue, organ and biofluid types across five species, with 8,236 marker entries. Users can explore pre-calculated heterogeneity analyses and perform their own heterogeneity analysis using datasets and tools provided in the database. SVAtlas offers fully automated raw-data processing, visualization and AI-driven querying-discover its features at the SVAtlas website!