Proteomic and Post-Translational Modification Profiling of Exosome-Mimetic Nanovesicles Compared to Exosomes

Autor: Andrew F. Hill, Lesley Cheng, Mitch Shambrook, Amirmohammad Nasiri Kenari, Allan Stensballe, David W. Greening, Kenneth Kastaniegaard
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Kenari, A N, Kastaniegaard, K, Greening, D W, Shambrook, M, Stensballe, A, Cheng, L & Hill, A F 2019, ' Proteomic and Post-Translational Modification Profiling of Exosome-Mimetic Nanovesicles Compared to Exosomes ', Proteomics, vol. 19, no. 8, 1800161 . https://doi.org/10.1002/pmic.201800161
DOI: 10.1002/pmic.201800161
Popis: Issues associated with upscaling exosome production for therapeutic use may be overcome through utilizing artificial exosomes. Cell-derived mimetic nanovesicles (M-NVs) are a potentially promising alternative to exosomes for clinical applicability, demonstrating higher yield without incumbent production and isolation issues. Although several studies have shown that M-NVs have similar morphology, size and therapeutic potential compared to exosomes, comprehensive characterization and to what extent M-NVs components mimic exosomes remain elusive. M-NVs were generated through the extrusion of cells and proteomic profiling demonstrated an enrichment of proteins associated with membrane and cytosolic components. The proteomic data herein reveal a subset of proteins that are highly abundant in M-NVs in comparison to exosomes. M-NVs contain proteins that largely represent the parental cell proteome, whereas the profile of exosomal proteins highlight their endosomally derived origin. This advantage of M-NVs alleviates the necessity of endosomal sorting of endogenous therapeutic proteins or RNA into exosomes. This study also highlights differences in protein post-translational modifications among M-NVs, as distinct from exosomes. Overall this study provides key insights into defining the proteome composition of M-NVs as a distinct from exosomes, and the potential advantage of M-NVs as an alternative nanocarrier when spontaneous endosomal sorting of therapeutics are limited.
Databáze: OpenAIRE