Notch signaling has been demonstrated to have a central role in glioblastoma (GBM) cancer stem cells (CSCs) and we have demonstrated recently that Notch pathway blockade by γ-secretase inhibitor (GSI) depletes GBM CSCs and prevents tumor propagation both in vitro and in vivo. In order to understand the proteome alterations involved in this transformation, a dose-dependent quantitative mass spectrometry (MS)-based proteomic study has been performed based on the global proteome profiling and a target verification phase where both Immunoassay and a multiple reaction monitoring (MRM) assay are employed. The selection of putative protein candidates for confirmation poses a challenge due to the large number of identifications from the discovery phase. A multilevel filtering strategy together with literature mining is adopted to transmit the most confident candidates along the pipeline. Our results indicate that treating GBM CSCs with GSI induces a phenotype transformation towards non-tumorigenic cells with decreased proliferation and increased differentiation, as well as elevated apoptosis. Suppressed glucose metabolism and attenuated NFR2-mediated oxidative stress response are also suggested from our data, possibly due to their crosstalk with Notch Signaling. Overall, this quantitative proteomic-based dose-dependent work complements our current understanding of the altered signaling events occurring upon the treatment of GSI in GBM CSCs.
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http://dx.doi.org/10.1002/pmic.201000730 | DOI Listing |
Cancers (Basel)
December 2024
Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD 21205, USA.
: CSCs are critical drivers of the tumor and stem cell phenotypes of glioblastoma (GBM) cells. Chromatin modifications play a fundamental role in driving a GBM CSC phenotype. The goal of this study is to further our understanding of how stem cell-driving events control changes in chromatin architecture that contribute to the tumor-propagating phenotype of GBM.
View Article and Find Full Text PDFFree Radic Biol Med
December 2024
Plasma Bioscience Research Center/Department of Electrical and Biological Physics, Kwangwoon University, Seoul, 01897, South Korea. Electronic address:
Glioblastoma (GBM) remains a formidable clinical challenge, with cancer stem cells (CSCs) contributing to treatment resistance and tumor recurrence. Conventional treatments often fail to eradicate these CSCs characterized by enhanced resistance to standard therapies through metabolic plasticity making them key targets for novel treatment approaches. Addressing this challenge, this study introduces a novel combination therapy of dichloroacetate (DCA), a metabolic modulator and nonthermal plasma to induce oxidative stress in glioblastomas.
View Article and Find Full Text PDFStem Cell Res Ther
December 2024
Department of Pathology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 33 Ying Feng Road, Guangzhou, 510120, China.
Background: Cancer stem cells (CSCs) have unique metabolic characteristics and are hypothesized to contribute significantly to the recurrence and drug resistance of glioblastoma multiforme (GBM). However, the reliance on mitochondrial metabolism and the underlying mechanism of glioblastoma stem cells (GSCs) remains to be elucidated.
Methods: To quantify differential mitochondrial protein expression between GSCs and differentiated cells, a mass spectrum screen was applied by the Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) technique.
Neuron
December 2024
Brain Tumor Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Cancer Biology & Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address:
Glioblastoma (GBM) is an incurable disease with high intratumoral heterogeneity. Bioinformatic studies have examined transcriptional heterogeneity with differing conclusions. Here, we characterize GBM heterogeneity and highlight critical phenotypic and hierarchical roles for quiescent cancer stem cells (qCSCs).
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