EV trace : tracing extracellular vesicles-associated proteins in recipient cells using stable isotope labeling

Abstract Release and uptake of extracellular vesicles (EVs) is a highly conserved means of communication used by cells across all kingdoms of life. These nano-sized vesicles transfer messages encoded in proteins and nucleic acids and play a role in numerous (patho)physiological processes. A longstanding question in the field is whether interaction and uptake of EVs is a stochastic process or whether specific EV subpopulations target different types of recipient cells. Here we present EVtrace , a proteomics-based approach that accommodates stable isotopic labeling of amino acids in culture (SILAC) to trace back labeled EV-associated proteins in unlabeled recipient cell types. We describe the optimization of EV labeling conditions and EV-cell cultures, and introduce a proteomics data analysis pipeline to confidently identify sparse internalized EV proteins among unlabeled recipient cell proteins. As a proof of concept, we studied the targeting of prostate cancer (PCa) EVs to bone cells and non-bone cells, considering that bone is a common metastatic site of PCa. Using EVtrace we demonstrate that interaction of PCa EVs with recipient cell types was not stochastic, and that different subpopulations of EVs targeted different cells. Proteins of EV subpopulations that were traced in bone cells, but not in non-bone cells, were strongly enriched for pathways involved in cancer progression and metastasis. With super-resolution microscopy we confirmed that EV proteins traced in different targeted cell types co-occurred on specific EV subpopulations. EV trace is a valuable new tool for EV research because it supports identification of EV subpopulations that are transferred to recipient cells and discloses candidate proteins potentially involved in EV binding/uptake and functional modification of target cells.