Proteomics

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A multi-omics analysis of glioma chemoresistance using a hybrid microphysiological model of glioblastoma


ABSTRACT: Chemoresistance is a major clinical challenge in management of glioblastoma (GBM) Temozolomide (TMZ) is the chemotherapeutic drug of choice for GBM; however, the therapeutic effect of TMZ is limited due to the development of resistance. Recapitulating GBM chemoresistance in a controlled environment is thus essential in understanding the mechanism of chemoresistance. Herein, we present a hybrid microphysiological model of chemoresistant GBM-on-a-chip (HGoC) by directly co-culturing TMZ-resistant GBM spheroids with healthy neurons to mimic the microenvironment of both the tumor and the surrounding healthy tissue. We characterized the model with proteomics, lipidomics, and secretome assays. The results showed that our artificial model recapitulated the molecular signatures of recurrent GBM in humans. Both showed alterations in vesicular transport and cholesterol pathways, mitotic quiescence, and a switch in metabolism to oxidative phosphorylation associated with a transition from mesenchymal to amoeboid. This is the first report to unravel the interplay of all these molecular changes as a mechanism of chemoresistance in glioblastoma. Moreover, we have shown that acquisition of resistance increases invasiveness and the presence of neurons decreases this property. 1. Seyfoori, A., et al., Self-filling microwell arrays (SFMAs) for tumor spheroid formation. Lab Chip, 2018. 18(22): p. 3516-3528. 2. Amereh, M., et al., In-Silico Modeling of Tumor Spheroid Formation and Growth. Micromachines (Basel), 2021. 12(7). 3. Senko, M.W., et al., Novel Parallelized Quadrupole/Linear Ion Trap/Orbitrap Tribrid Mass Spectrometer Improving Proteome Coverage and Peptide Identification Rates. Analytical Chemistry, 2013. 85(24): p. 11710-11714. 4. Zhou, G., et al., NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis. Nucleic Acids Res, 2019. 47(W1): p. W234-w241. 5. Xia, J., E.E. Gill, and R.E. Hancock, NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data. Nat Protoc, 2015. 10(6): p. 823-44. 6. Breuer, K., et al., InnateDB: systems biology of innate immunity and beyond--recent updates and continuing curation. Nucleic Acids Res, 2013. 41(Database issue): p. D1228-33.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

DISEASE(S): Glioblastoma

SUBMITTER: Rui Vitorino  

LAB HEAD: Mohsen Akbari

PROVIDER: PXD037753 | Pride | 2025-06-09

REPOSITORIES: Pride

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Publications

Tumoroid Model Reveals Synergistic Impairment of Metabolism by Iron Chelators and Temozolomide in Chemo-Resistant Patient-derived Glioblastoma Cells.

Amereh Meitham M   Seyfoori Amir A   Shojaei Shahla S   Lane Sarah S   Zhao Tian T   Shokrollahi Barough Mahdieh M   Lum Julian J JJ   Walter Patrick P   Akbari Mohsen M  

Advanced science (Weinheim, Baden-Wurttemberg, Germany) 20250426 20


Chemoresistance poses a significant clinical challenge in managing glioblastoma (GBM), limiting the long-term success of traditional treatments. Here, a 3D tumoroid model is used to investigate the metabolic sensitivity of temozolomide (TMZ)-resistant GBM cells to iron chelation by deferoxamine (DFO) and deferiprone (DFP). This work shows that TMZ-resistant GBM cells acquire stem-like characteristics, higher intracellular iron levels, higher expression of aconitase, and elevated reliance on oxid  ...[more]

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