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PXD052027

PXD052027 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMulti-Omics Analysis Revealed Significant Metabolic Changes in Brain Cancer Cells Treated with Paclitaxel and/or Topotecan
DescriptionGlioblastoma (GB) is the most common primary malignant brain tumor, representing approximately 57% of all gliomas and 48% of all primary malignant central nervous system (CNS) tumors. Despite the best standard therapies, glioblastoma survivors have a brief survival time, about 24 months on average. The treatment is troublesome because the cancer cells may not respond well to specific therapies as they grow within an extensive network of blood vessels. A multi-omics approach to provide information on biomolecules from multiple layers appears promising for systematically and holistically understanding complex biology. However, till now, only few studies have utilized omics analysis to investigate the impact of anticancer drugs on GBM. Our study aimed to evaluate the impacts of the anticancer medications (paclitaxel 5.3 μg/mL and topotecan 0.26 μM) solely and in pairwise combination on the metabolic and proteomic signatures of the U87 cell line while utilizing the accurate ultra-high-performance liquid chromatography-electrospray ionization quadrupole time-of-flight mass spectrometry (UHPLC-ESI-QTOF-MS) analytical technology. The studied cancer cells wear treated with DMSO (control group), paclitaxel 5.3 µM, topotecan 0.26 µM, and a combination of paclitaxel 5.3 µM and topotecan 0.26 µM. Using One-way ANOVA, we observed 14 significantly altered metabolites compared to those cells treated with DMSO. For combination treatment (paclitaxel and topotecan), 10 metabolites were significantly dysregulated. The sparse partial least squares-discriminant analysis (sPLS-DA) showed minimal overlapping, indicating a difference between the four groups. While for proteomics, a total of 79 proteins were significantly dysregulated among the groups. These findings can aid in identifying new biomarkers associated with the utilized drugs and creating a map for targeted therapy. EIF3F, GNB2L1, HINT2, and RPA3 were shown to be significantly upregulated in the combination group when compared to the control. Moreover, ribosome, apoptosis, HIF-1 signaling, arginine and proline, glutathione, purine metabolism, apelin signaling pathway, and glycolysis were significantly altered in the combination group.
HostingRepositoryPRIDE
AnnounceDate2025-05-07
AnnouncementXMLSubmission_2025-05-06_16:16:29.104.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterCore Facility
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListcarbamoylated residue
InstrumentBruker Daltonics timsTOF series
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-05-06 13:25:20ID requested
12025-05-06 16:16:30announced
Publication List
10.1016/j.heliyon.2024.e39420;
Semreen AM, Alsoud LO, Semreen MH, Ahmed M, Al-Hroub HM, El-Awady R, Ramadan WS, Abuhelwa A, Bustanji Y, Soares NC, Alzoubi KH, Multi-omics analysis revealed significant metabolic changes in brain cancer cells treated with paclitaxel and/or topotecan. Heliyon, 10(21):e39420(2024) [pubmed]
Keyword List
submitter keyword: Metabolomics,Glioblastoma, Proteomics
Contact List
Mohammad Harb Semreen
contact affiliation1. Research Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates. 2. College of Pharmacy, Department of Medicinal Chemistry, University of Sharjah, United Arab Emirates
contact emailmsemreen@sharjah.ac.ae
lab head
Core Facility
contact affiliationSharjah Institute for Medical Research, University of Sharjah
contact emailtims-tof@sharjah.ac.ae
dataset submitter
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Dataset FTP location
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