⮝ Full datasets listing

PXD071225

PXD071225 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleCellular senescence escape and antiviral response discriminate glioblastoma from lower grade gliomas – a bioinformatic meta-analysis
DescriptionCellular senescence plays a negative prognostic role in glioblastoma (GB). However, the specific cell types with senescent features and molecular mechanisms by which these senescent cells contribute to the pathogenesis of GB are unknown. To identify specific senescent cell subpopulations in GB and their functional impact on surrounding cells, we performed bioinformatic analyses of publicly available omics datasets, specifically transcriptome, single-cell transcriptome, and proteome data, obtained directly from patients with GB. Markers of cellular senescence were defined based on publicly available transcriptome data comparing senescent and proliferating cells. They were subsequently used to verify the presence of senescent cells in GB datasets. By applying this systematically curated set of common senescence markers together with the expression of senescence-associated secretory phenotype (SASP), extracellular matrix (ECM) components, and cyclin-dependent kinase inhibitors, we identified GB-associated senescent cells in clusters phenotypically corresponding to subpopulations of the developing brain, including radial glia, endothelial cells, and immature astrocytes. We characterized the communication network of senescent cells with other cells in the tumor tissue, showing that senescent cells communicate primarily with tumor-associated macrophages to suppress immune response. Notably, processes that distinguish GB from less malignant types of gliomas include cellular senescence and pathways associated with antiviral response. To investigate the effect of chemotherapy on the development of secondary therapy-induced senescence, we performed a proteomic analysis of an in vitro 3D model of GB cell spheroids induced to senescence by temozolomide. Results indicate that primary and secondary senescence in GB shares similar phenotypic features. Pathways that are associated with unique GB aggressiveness and therapy resistance are upregulated after therapy, which can promote even more aggressive behavior of the recurrent tumor. The data underscores that senescent cells contribute significantly to the malignant manifestations of GB, supporting the emerging idea that senescent cells are a promising target for adjuvant senolytic therapy of GB.
HostingRepositoryPRIDE
AnnounceDate2026-06-08
AnnouncementXMLSubmission_2026-06-07_18:13:26.523.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMichaela Sadibolova
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606;
ModificationListTMT6plex-126 reporter+balance reagent acylated residue; methylthiolated residue
InstrumentOrbitrap Exploris 480
Dataset History
RevisionDatetimeStatusChangeLog Entry
02025-11-25 15:47:36ID requested
12026-06-07 18:13:27announced
Publication List
Maurencova D, Sadibolova M, Zarska M, Liblova Z, Novak J, Kroupova J, Vasicova P, Bartek J, Hodny Z, Cellular senescence escape and antiviral response discriminate glioblastoma from lower-grade gliomas. Neurooncol Adv, 8(1):vdag122(2026) [pubmed]
10.1093/noajnl/vdag122;
Keyword List
submitter keyword: None
Contact List
Zdenek Hodny
contact affiliationInstitute of Molecular Genetics of the Czech Academy of Sciences
contact emailzdenek.hodny@img.cas.cz
lab head
Michaela Sadibolova
contact affiliationUniversity Hospital Hradec Kralove
contact emailmichaela.sadibolova@gmail.com
dataset submitter
Full Dataset Link List
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/2026/06/PXD071225
PRIDE project URI
Repository Record List
[ + ]