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.