Tumour cells release diverse populations of extracellular vesicles (EVs) ranging in size, molecular cargo, and function. We sought to characterize mRNA and protein content of EV subpopulations released by human glioblastoma (GBM) cells expressing a mutant form of epidermal growth factor receptor (U87) and with respect to size, morphology and the presence of tumour cargo. The two EV subpopulations purified from GBM U87 cancer cells, non-cancer human umbilical vein endothelial cells (HUVEC; control) and serum of U87 glioma-bearing mice using differential centrifugation (EVs that sediment at 10,000 × or 100,000 × are termed large EVs and small EVs, respectively) were characterized using transmission electron microscopy (TEM), confocal microscopy, nanoparticle tracking analysis (NTA), flow cytometry, immunofluorescence (IF), quantitative-polymerase chain reaction (qPCR), droplet digital polymerase chain reaction (ddPCR) and micro-nuclear magnetic resonance (μNMR). We report that both U87 and HUVEC release a similar number of small EVs, but U87 glioma cells alone release a higher number of large EVs compared to non-cancer HUVEC. The EGFRvIII mRNA from the two EV subpopulations from U87 glioma cells was comparable, while the EGFR protein (wild type + vIII) levels are significantly higher in large EVs. Similarly, EGFRvIII mRNA in large and small EVs isolated from the serum of U87 glioma-bearing mice is comparable, while the EGFR protein (wild type + vIII) levels are significantly higher in large EVs. Here we report for the first time a direct comparison of large and small EVs released by glioma U87 cells and from serum of U87 glioma-bearing mice. Both large and small EVs contain tumour-specific EGFRvIII mRNA and proteins and combining these platforms may be beneficial in detecting rare mutant events in circulating biofluids.
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http://dx.doi.org/10.1080/20013078.2019.1689784 | DOI Listing |
J Proteome Res
January 2025
Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
Extracellular vesicles (EVs) are emerging as crucial biomarkers in cancer diagnostics and therapeutics with their heterogeneity presenting both challenges and opportunities in prostate cancer research. However, existing methods for isolating and characterizing EV subtypes have been limited by inefficient separation and inadequate proteomic analysis. Here we show an optimized centrifugal microfluidic device, Exodisc, that efficiently isolates large quantities of EV subtypes from particle-enriched medium, enabling comprehensive proteomic analysis of small (EV-S, 20-200 nm) and large (EV-L, >200 nm) EVs.
View Article and Find Full Text PDFAugmented extracellular matrix (ECM) stiffness is a mechanical hallmark of cancer. Mechanotransduction studies have extensively probed the mechanisms by which ECM stiffness regulates intracellular communication. However, the influence of stiffness on intercellular communication aiding tumor progression in three-dimensional microenvironments remains unknown.
View Article and Find Full Text PDFbioRxiv
January 2025
University of Georgia, Department of Infectious Diseases, Athens, GA, USA, 30602.
Rapid and accurate diagnostics are needed to effectively detect and treat primary amoebic meningoencephalitis (PAM) caused by (). Delayed diagnosis and similarities to other causes of meningitis contribute to a case mortality rate of >97%. Thus, there is an unmet medical need for a non-invasive liquid biopsy diagnostic method.
View Article and Find Full Text PDFExtracellular vesicles (EVs) are gaining recognition as promising therapeutic carriers for immune modulation. We investigated the potential of EVs derived from HEK293FT cells to stabilize and deliver interleukin-10 (IL-10), a key anti-inflammatory cytokine. Using minicircle (MC) DNA vectors, we achieved IL-10 overexpression and efficient incorporation into EVs, yielding superior stability compared to free, recombinant IL-10 protein.
View Article and Find Full Text PDFMater Today Bio
February 2025
Department of Biochemistry and Molecular Pharmacology. Istituto di Ricerche Farmacologiche Mario Negri, IRCCS, Via Mario Negri, 2, Milan, Italy.
Targeting is the most challenging problem to solve for drug delivery systems. Despite the use of targeting units such as antibodies, peptides and proteins to increase their penetration in tumors the amount of therapeutics that reach the target is very small, even with the use of nanoparticles (NPs). Nature has solved the selectivity problem using a combination of proteins and lipids that are exposed on the cell membranes and are able to recognize specific tissues as demonstrated by cancer metastasis.
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