Analysis and Simulation of Glioblastoma Cell Lines-Derived Extracellular Vesicles Metabolome

Metabolites
Miroslava Čuperlović-CulfJagdeep K Sandhu

Abstract

Glioblastoma (GBM) is one of the most aggressive cancers of the central nervous system. Despite current advances in non-invasive imaging and the advent of novel therapeutic modalities, patient survival remains very low. There is a critical need for the development of effective biomarkers for GBM diagnosis and therapeutic monitoring. Extracellular vesicles (EVs) produced by GBM tumors have been shown to play an important role in cellular communication and modulation of the tumor microenvironment. As GBM-derived EVs contain specific "molecular signatures" of their parental cells and are able to transmigrate across the blood-brain barrier into biofluids such as the blood and cerebrospinal fluid (CSF), they are considered as a valuable source of potential diagnostic biomarkers. Given the relatively harsh extracellular environment of blood and CSF, EVs have to endure and adapt to different conditions. The ability of EVs to adjust and function depends on their lipid bilayer, metabolic content and enzymes and transport proteins. The knowledge of EVs metabolic characteristics and adaptability is essential for their utilization as diagnostic and therapeutic tools. The main aim of this study was to determine the metabolome of small EVs o...Continue Reading

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Citations

Oct 15, 2020·Biomolecules·Luke KennedyMiroslava Cuperlovic-Culf
Nov 19, 2020·International Journal of Molecular Sciences·Leona ChitoiuMarieta Costache
Mar 6, 2021·Proteomics·Vivian Weiwen XueWilliam Chi Shing Cho
Jun 3, 2021·Metabolites·Karol JarochBarbara Bojko

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Methods Mentioned

BETA
biopsy
NMR
PCA
scraping

Software Mentioned

GEM
lsqcurvefit
Icoshift
GIMME
mapGeneToRxn
SNE
Recon3D
pca
Recon
ppca

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