Abstract

Circulating Extracellular Vesicle-enabled Cancer Biomarker Discovery and Diagnosis

Mei He, Associate Professor, University of Florida

Extracellular vesicles (EVs) have gained significant attention in the field of extracellular communication, holding promise as intercellular messengers and diagnostic biomarkers. However, the challenges in isolating and purifying EVs from complex biological samples have hindered their widespread utility. This study presents a novel EV isolation standardization strategy leveraging bioinformatics. A data science-driven statistical metric integrating multiple characterizations was applied to enable direct comparisons between different isolation methods.  Utilizing pHLIP-magnetic bead approach, we are able to achieve efficient EV isolation and quality characterization for omic sequencing discovery of new biomarkers specific to cancer diagnosis.