Increasing attention has been given to secreted extracellular vesicles (EVs) in the past decades, especially in the portrayal of their molecular cargo and role as messengers in both homeostasis and pathophysiological conditions. Researchers from the University of São Paulo present the state-of-the-art proteomic technologies to identify and quantify EVs proteins along with their PTMs, interacting partners and structural details. The rapid growth of mass spectrometry-based analytical strategies for protein sequencing, PTMs and structural characterization has improved the level of molecular details that can be achieved from limited amount of EVs isolated from different biological sources. The researchers provide a perspective view on the achievements and challenges on EVs proteome characterization using mass spectrometry. A detailed bioinformatics approach will help us to picture the molecular fingerprint of EVs and understand better their pathophysiological function.
Protein-protein interaction network using the 100 proteins mostly detected in exosome studies
The 100 proteins mostly identified in the exosomes were downloaded from the Exocarta database and analyzed by the String database. Direct protein-protein interactions were selected with 0.7 confidence without the text-mining function was selected for creating the network.