PXD037753

PXD037753 is an original dataset announced via ProteomeXchange.

Title	A multi-omics analysis of glioma chemoresistance using a hybrid microphysiological model of glioblastoma
Description	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.
HostingRepository	PRIDE
AnnounceDate	2025-06-09
AnnouncementXML	Submission_2025-06-08_16:06:50.663.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Rui Vitorino
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; deamidated residue; iodoacetamide derivatized residue
Instrument	Orbitrap Fusion

Revision	Datetime	Status	ChangeLog Entry
0	2022-10-27 02:35:49	ID requested
⏵ 1	2025-06-08 16:06:51	announced

10.1002/advs.202412505;

Amereh M, Seyfoori A, Shojaei S, Lane S, Zhao T, Shokrollahi Barough M, Lum JJ, Walter P, Akbari M, Tumoroid Model Reveals Synergistic Impairment of Metabolism by Iron Chelators and Temozolomide in Chemo-Resistant Patient-derived Glioblastoma Cells. Adv Sci (Weinh), 12(20):e2412505(2025) [pubmed]

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

Mohsen Akbari
contact affiliation	University of Victoria, Department of Mechanical Engineering, PO Box 1700 STN CSC, Victoria, BC, V8W 2Y2, Canada
contact email	Shahla.Shojaei@umanitoba.ca
lab head
Rui Vitorino
contact affiliation	Universidade de Aveiro
contact email	rvitorino@ua.pt
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2025/06/PXD037753

PRIDE project URI

• PRIDE
  1. PXD037753
     1. Label: PRIDE project
     2. Name: A multi-omics analysis of glioma chemoresistance using a hybrid microphysiological model of glioblastoma