scholarly journals Preferential Association of Lissencephaly-1 Gene Expression with CD133+ Glioblastoma Cells

2017 ◽  
Vol 8 (7) ◽  
pp. 1284-1291 ◽  
Author(s):  
Felix Mircea Brehar ◽  
Anca Violeta Gafencu ◽  
Violeta Georgeta Trusca ◽  
Elena Valeria Fuior ◽  
Dorel Arsene ◽  
...  
Keyword(s):  
Gene Expression ◽  
Glioblastoma Cells ◽  
Preferential Association

scholarly journals Construction of a competitive endogenous RNA network and analysis of potential regulatory axis targets in glioblastoma

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kai Yu ◽  
Huan Yang ◽  
Qiao-li Lv ◽  
Li-chong Wang ◽  
Zi-long Tan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Differentially Expressed Genes ◽  
Pearson Correlation ◽  
Differentially Expressed ◽  
Migration And Invasion ◽  
Glioblastoma Cells ◽  
Network Chain ◽  
Cerna Network ◽  
Potential Marker

Abstract Background Glioblastoma is the most common primary malignant brain tumor. Because of the limited understanding of its pathogenesis, the prognosis of glioblastoma remains poor. This study was conducted to explore potential competing endogenous RNA (ceRNA) network chains and biomarkers in glioblastoma by performing integrated bioinformatics analysis. Methods Transcriptome expression data from The Cancer Genome Atlas database and Gene Expression Omnibus were analyzed to identify differentially expressed genes between glioblastoma and normal tissues. Biological pathways potentially associated with the differentially expressed genes were explored by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, and a protein-protein interaction network was established using the STRING database and Cytoscape. Survival analysis using Gene Expression Profiling Interactive Analysis was based on the Kaplan–Meier curve method. A ceRNA network chain was established using the intersection method to align data from four databases (miRTarBase, miRcode, TargetScan, and lncBace2.0), and expression differences and correlations were verified by quantitative reverse-transcription polymerase chain reaction analysis and by determining the Pearson correlation coefficient. Additionally, an MTS assay and the wound-healing and transwell assays were performed to evaluate the effects of complement C1s (C1S) on the viability and migration and invasion abilities of glioblastoma cells, respectively. Results We detected 2842 differentially expressed (DE) mRNAs, 2577 DE long non-coding RNAs (lncRNAs), and 309 DE microRNAs (miRNAs) that were dysregulated in glioblastoma. The final ceRNA network consisted of six specific lncRNAs, four miRNAs, and four mRNAs. Among them, four DE mRNAs and one DE lncRNA were correlated with overall survival (p < 0.05). C1S was significantly correlated with overall survival (p= 0.015). In functional assays, knockdown of C1S inhibited the proliferation and invasion of glioblastoma cell lines. Conclusions We established four ceRNA networks that may influence the occurrence and development of glioblastoma. Among them, the MIR155HG/has-miR-129-5p/C1S axis is a potential marker and therapeutic target for glioblastoma. Knockdown of C1S inhibited the proliferation, migration, and invasion of glioblastoma cells. These findings clarify the role of the ceRNA regulatory network in glioblastoma and provide a foundation for further research.

scholarly journals TGF-β1 targets Smad, p38 MAPK, and PI3K/Akt signaling pathways to induce PFKFB3 gene expression and glycolysis in glioblastoma cells

FEBS Journal ◽  
2017 ◽  
Vol 284 (20) ◽  
pp. 3437-3454 ◽  
Author(s):  
Ana Rodríguez-García ◽  
Paula Samsó ◽  
Pere Fontova ◽  
Helga Simon-Molas ◽  
Anna Manzano ◽  
...  
Keyword(s):  
Gene Expression ◽  
Signaling Pathways ◽  
P38 Mapk ◽  
Akt Signaling ◽  
Glioblastoma Cells ◽  
Tgf Β1

scholarly journals Expression of the mi R ‐302/367 cluster in glioblastoma cells suppresses tumorigenic gene expression patterns and abolishes transformation related phenotypes

2015 ◽  
Vol 137 (10) ◽  
pp. 2296-2309 ◽  
Author(s):  
Chul Min Yang ◽  
Tomohiro Chiba ◽  
Boris Brill ◽  
Natalia Delis ◽  
Viktoria von Manstein ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Patterns ◽  
Gene Expression Patterns ◽  
Glioblastoma Cells

scholarly journals LXRβ controls glioblastoma cell growth, lipid balance, and immune modulation independently of ABCA1

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Deven Patel ◽  
Fahim Ahmad ◽  
Diane M. Kambach ◽  
Qian Sun ◽  
Alan S. Halim ◽  
...  
Keyword(s):  
Gene Expression ◽  
Immune Modulation ◽  
Cell Cycle Progression ◽  
Mevalonate Pathway ◽  
Cholesterol Biosynthesis ◽  
Cholesterol Homeostasis ◽  
Immune Response Gene ◽  
Glioblastoma Cells ◽  
X Receptors ◽  
Patient Prognosis

Abstract Cholesterol is a critical component of membranes and a precursor for hormones and other signaling molecules. Previously, we showed that unlike astrocytes, glioblastoma cells do not downregulate cholesterol synthesis when plated at high density. In this report, we show that high cell density induces ABCA1 expression in glioblastoma cells, enabling them to get rid of excess cholesterol generated by an activated cholesterol biosynthesis pathway. Because oxysterols are agonists for Liver X Receptors (LXRs), we investigated whether increased cholesterol activates LXRs to maintain cholesterol homeostasis in highly-dense glioblastoma cells. We observed that dense cells had increased oxysterols, which activated LXRβ to upregulate ABCA1. Cells with CRISPR-mediated knockdown of LXRβ, but not ABCA1, had decreased cell cycle progression and cell survival, and decreased feedback repression of the mevalonate pathway in densely-plated glioma cells. LXRβ gene expression poorly correlates with ABCA1 in glioblastoma patients, and expression of each gene correlates with poor patient prognosis in different prognostic subtypes. Finally, gene expression and lipidomics analyses cells revealed that LXRβ regulates the expression of immune response gene sets and lipids known to be involved in immune modulation. Thus, therapeutic targeting of LXRβ in glioblastoma might be effective through diverse mechanisms.

Ectopic Doublecortin Gene Expression Suppresses the Malignant Phenotype in Glioblastoma Cells

2006 ◽  
Vol 66 (24) ◽  
pp. 11726-11735 ◽  
Author(s):  
Manoranjan Santra ◽  
Xuepeng Zhang ◽  
Sutapa Santra ◽  
Feng Jiang ◽  
Michael Chopp
Keyword(s):  
Gene Expression ◽  
Glioblastoma Cells ◽  
Malignant Phenotype

Allopregnanolone promotes proliferation and differential gene expression in human glioblastoma cells

Steroids ◽  
2017 ◽  
Vol 119 ◽  
pp. 36-42 ◽  
Author(s):  
Carmen J. Zamora-Sánchez ◽  
Valeria Hansberg-Pastor ◽  
Ivan Salido-Guadarrama ◽  
Mauricio Rodríguez-Dorantes ◽  
Ignacio Camacho-Arroyo
Keyword(s):  
Gene Expression ◽  
Differential Gene Expression ◽  
Glioblastoma Cells ◽  
Human Glioblastoma ◽  
Differential Gene ◽  
Human Glioblastoma Cells
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