scholarly journals Repression of RNA message for F-box proteins in the tumors of patients with glioblastoma.

2020 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Gene Expression ◽  
Brain Cancer ◽  
Gene Expression Analysis ◽  
Normal Brain ◽  
Significant Differential Expression ◽  
Differential Gene Expression Analysis ◽  
Genes Encoding ◽  
Differential Gene ◽  
The Brain ◽  
Median Survival Rate

Glioblastoma is the most common brain cancer in adults and has a 15 month median survival rate (1, 2). We performed differential gene expression analysis, comparing the glioblastoma transcriptome from 17 patients to the transcriptome of 8 non-affected, “normal” brain samples using a published dataset (3). Three separate genes encoding F-box proteins (4), including FBXW7, FBXO41, and FBXL16 were differentially expressed and at significantly lower levels in the tumors of patients with glioblastoma than in the brain. Significant differential expression of FBXW7, FBXO41 and FBXL16 was also observed in glioblastomas from the REMBRANDT study (5).

Differential gene expression analysis in Enchytraeus albidus exposed to natural and chemical stressors at different exposure periods

Ecotoxicology ◽  
2011 ◽  
Vol 21 (1) ◽  
pp. 213-224 ◽  
Author(s):  
Sara C. Novais ◽  
Clara F. Howcroft ◽  
Laura Carreto ◽  
Patrícia M. Pereira ◽  
Manuel A. S. Santos ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differential Gene Expression ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Differential Gene Expression Analysis ◽  
Differential Gene

Identification of Hub Genes Associated with Development of Lung Adenocarcinoma by Integrated Bioinformatics Analysis

2021 ◽  
Author(s):  
Jinglei Li ◽  
Wei Hou
Keyword(s):  
Gene Expression ◽  
Survival Analysis ◽  
Network Analysis ◽  
Lung Adenocarcinoma ◽  
Normal Control ◽  
Gene Expression Analysis ◽  
Normal Control Group ◽  
Control Group ◽  
Differential Gene Expression Analysis ◽  
Differential Gene

Abstract Purpose: Lung adenocarcinoma (LUAD) has high heterogeneity and poor prognosis, posing a major challenge to human health worldwide. Therefore, it is necessary to improve our understanding of the molecular mechanism of LUAD in order to be able to better predict its prognosis and develop new therapeutic strategies for target genes.Methods: The Cancer Genome Atlas and Gene Expression Omnibus, were selected to comprehensively analyze and explore the differences between LUAD tumors and adjacent normal tissues. Critical gene information was obtained through weighted gene co-expression network analysis (WGCNA), differential gene expression analysis, and survival analysis.Results: Using WGCNA and differential gene expression analysis, 29 differentially expressed genes were screened. The functional annotation analysis showed these genes to be mainly concentrated in heart trabecula formation, regulation of inflammatory response, collagen-containing extracellular matrix, and metalloendopeptidase inhibitor activity. Also, in the protein–protein interaction network analysis, 10 central genes were identified using Cytoscape's CytoHubba plug-in. The expression of CDH5, TEK, TIMP3, EDNRB, EPAS1, MYL9, SPARCL1, KLF4, and TGFBR3 in LUAD tissue was found to be lower than that in the normal control group, while the expression of MMP1 in LUAD tissue was higher than that in the normal control group. According to survival analysis, the low expression of MYL9 and SPARCL1 was correlated with poor overall survival in patients with LUAD. Finally, through the verification of the Oncomine database, it was found that the expression levels of MYL9 and SPARCL1 were consistent with the mRNA levels in LUAD samples, and both were downregulated.Conclusion: Two survival-related genes, MYL9 and SPARCL1, were determined to be highly correlated with the development of LUAD. Both may play an essential role in the development LUAD and may be potential biomarkers for its diagnosis and treatment in the future.

scholarly journals Differential Gene Expression Analysis of theEpacromius coerulipes(Orthoptera: Acrididae) Transcriptome

2016 ◽  
Vol 16 (1) ◽  
pp. 42 ◽  
Author(s):  
Yongling Jin ◽  
Bin Cong ◽  
Liyan Wang ◽  
Yugang Gao ◽  
Haiyan Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differential Gene Expression ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Differential Gene Expression Analysis ◽  
Differential Gene

scholarly journals Nurr1 modulation mediates neuroprotective effects of statins

2021 ◽  
Author(s):  
Sabine Willems ◽  
Whitney Kilu ◽  
Giuseppe Faudone ◽  
Jan Heering ◽  
Daniel Merk
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Gene Expression Analysis ◽  
Energy Utilization ◽  
Neuroprotective Effects ◽  
Simvastatin Treatment ◽  
Differential Gene Expression Analysis ◽  
Functional Studies ◽  
Promising Therapeutic Target ◽  
Differential Gene

AbstractThe ligand-sensing transcription factor Nurr1 emerges as a promising therapeutic target for neurodegenerative pathologies but Nurr1 ligands for functional studies and therapeutic validation are lacking. Here we report pronounced Nurr1 modulation by statins for which clinically relevant neuroprotective effects have been demonstrated. Several statins directly affected Nurr1 activity in cellular and cell-free settings with low micromolar to sub-micromolar potencies. Simvastatin exhibited anti-inflammatory effects in astrocytes which were abrogated by Nurr1 knockdown. Differential gene expression analysis in native and Nurr1 silenced cells revealed strong proinflammatory effects of Nurr1 knockdown while simvastatin treatment induced several neuroprotective mechanisms via Nurr1, for example, in energy utilization and reduced apoptosis. These findings suggest Nurr1 involvement in the well-documented but mechanistically elusive neuroprotection by statins.

Sign in / Sign up

Export Citation Format

Share Document