Proteomic profiling of serum extracellular vesicles from uranium-exposed miners

This dataset contains quantitative proteomic data from serum-derived extracellular vesicles (EVs) isolated from 29 former uranium miners. Small and large EVs were separated by differential ultracentrifugation and analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The dataset includes raw and normalized protein intensities for each EV subtype, as well as metadata on mining tenure and age. These data were used to examine associations between mining tenure and the molecular profiles of serum-derived EVs. EV proteomics may serve as a sensitive tool for assessing the long-term health effects of uranium exposure.