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Oncogenic Regulation of Extracellular Vesicle Proteome and Heterogeneity

期刊

PROTEOMICS
卷 19, 期 1-2, 页码 -

出版社

WILEY
DOI: 10.1002/pmic.201800169

关键词

ectosomes; exosomes; heterogeneity; nano flow cytometry; oncogenes; proteomics; subtypes

资金

  1. Canadian Institutes for Health Research (CIHR Foundation) [MOP 102736, MOP 111119]
  2. Canadian Cancer Society Research Institute
  3. Jack Cole Chair in Pediatric Hematology/Oncology
  4. McGill Integrated Cancer Research Training Program (MI-CRTP) [CIHR/FRSQ-FRN53888]
  5. Fonds de Recherche en Sante duQuebec (FRSQ)
  6. Research Institute of the McGill University Health Centre (RI-MUHC)
  7. Montreal Children's Hospital Foundation
  8. McGill University

向作者/读者索取更多资源

Mutational and epigenetic driver events profoundly alter intercellular communication pathways in cancer. This effect includes deregulated release, molecular composition, and biological activity of extracellular vesicles (EVs), membranous cellular fragments ranging from a few microns to less than 100 nm in diameter and filled with bioactive molecular cargo (proteins, lipids, and nucleic acids). While EVs are usually classified on the basis of their physical properties and biogenetic mechanisms, recent analyses of their proteome suggest a larger than expected molecular diversity, a notion that is also supported by multicolour nano-flow cytometry and other emerging technology platforms designed to analyze single EVs. Both protein composition and EV diversity are markedly altered by oncogenic transformation, epithelial to mesenchymal transition, and differentiation of cancer stem cells. Interestingly, only a subset of EVs released from mutant cells may carry oncogenic proteins (e.g., EGFRvIII), hence, these EVs are often referred to as oncosomes. Indeed, oncogenic transformation alters the repertoire of EV-associated proteins, increases the presence of pro-invasive cargo, and alters the composition of distinct EV populations. Molecular profiling of single EVs may reveal a more intricate effect of transforming events on the architecture of EV populations in cancer and shed new light on their biological role and diagnostic utility.

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