Transcriptomics

Dataset Information

0

Molecular and functional profiling of chemotolerant cells unveils nucleoside metabolism-dependent vulnerabilities in medulloblastoma


ABSTRACT: Chemotherapy resistance is considered one of the main causes of tumor relapse, still challenging researchers for the identification of the molecular mechanisms sustaining its emergence. Here, we setup and characterized chemotherapy-resistant models of Medulloblastoma (MB), one of the most lethal pediatric brain tumors, to uncover targetable vulnerabilities associated to their resistant phenotype. Integration of proteomic, transcriptomic and kinomic data revealed a significant deregulation of several pathways in resistant MB cells, converging to cell metabolism, RNA/protein homeostasis, and immune response, eventually impacting on patient outcome. Moreover, resistant MB cell response to a large library of compounds through a high-throughput screening, highlighted nucleoside metabolism as a relevant vulnerability of chemotolerant cells, with peculiar antimetabolites demonstrating increased efficacy against them and even synergism with conventional chemotherapeutics. Our results suggest that drug-resistant cells significantly rewire multiple cellular processes, allowing their adaptation to a chemotoxic environment, nevertheless exposing alternative actionable susceptibilities for their specific targeting. In this study, we generated and characterized from a proteomic, transcriptional and kinomic point of view chemothrapy-resistant MB cells. Integrated data were then associated to the response of MB resistant cells to a large library of compounds through an high throughput screening approach identifying nucleoside metabolism as a peculiar targetable vulnerability emerged after chemotherapy adaptation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE220543 | GEO | 2023/11/22

REPOSITORIES: GEO

Similar Datasets

2022-05-16 | GSE176218 | GEO
2011-04-22 | E-GEOD-28784 | biostudies-arrayexpress
2019-04-26 | GSE130321 | GEO
2011-04-22 | GSE28784 | GEO
2020-02-12 | GSE138418 | GEO
2024-04-09 | PXD050010 | Pride
2023-09-04 | GSE241948 | GEO
| PRJNA614914 | ENA
2020-03-25 | GSE140961 | GEO
2010-02-20 | E-TABM-922 | biostudies-arrayexpress