scholarly journals DUSP1Gene Polymorphisms Are Associated with Obesity-Related Metabolic Complications among Severely Obese Patients and Impact on Gene Methylation and Expression

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
F. Guénard ◽  
L. Bouchard ◽  
A. Tchernof ◽  
Y. Deshaies ◽  
F. S. Hould ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Obese Patients ◽  
Gene Methylation ◽  
Metabolic Complications ◽  
Expression Levels ◽  
Cpg Sites ◽  
Severely Obese ◽  
The Impact ◽  
Gene Expression Levels

TheDUSP1gene encodes a member of the dual-specificity phosphatase family previously identified as being differentially expressed in visceral adipose tissue (VAT) of severely obese men with versus without the metabolic syndrome.Objective.To test the association betweenDUSP1polymorphisms, obesity-related metabolic complications, gene methylation, and expression levels in VAT.Methods.TheDUSP1locus and promoter region were sequenced in 25 individuals. SNPs were tested for association with obesity-related complications in a cohort of more than 1900 severely obese individuals. The impact of SNPs on methylation levels of 36 CpG sites and correlations between DNA methylation and gene expression levels in VAT were computed in a subset of 14 samples.Results.Heterozygotes for rs881150 had lower HDL-cholesterol levels (HDL-C;P=0.01), and homozygotes for the minor allele of rs13184134 and rs7702178 had increased fasting glucose levels (P=0.04and 0.01, resp.). rs881150 was associated with methylation levels of CpG sites located ~1250 bp upstream the transcription start site. Methylation levels of 4 CpG sites were inversely correlated withDUSP1gene expression.Conclusion.These results suggest thatDUSP1polymorphisms modulate plasma glucose and HDL-C levels in obese patients possibly through alterations of DNA methylation and gene expression levels.

scholarly journals A Sparse and Low-Rank Regression Model for Identifying the Relationships Between DNA Methylation and Gene Expression Levels in Gastric Cancer and the Prediction of Prognosis

Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 854
Author(s):  
Yishu Wang ◽  
Lingyun Xu ◽  
Dongmei Ai
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
Dna Methylation ◽  
Regression Model ◽  
The Cancer Genome Atlas ◽  
Low Rank ◽  
Expression Levels ◽  
Rank Regression ◽  
Prediction Of Prognosis ◽  
Gene Expression Levels

DNA methylation is an important regulator of gene expression that can influence tumor heterogeneity and shows weak and varying expression levels among different genes. Gastric cancer (GC) is a highly heterogeneous cancer of the digestive system with a high mortality rate worldwide. The heterogeneous subtypes of GC lead to different prognoses. In this study, we explored the relationships between DNA methylation and gene expression levels by introducing a sparse low-rank regression model based on a GC dataset with 375 tumor samples and 32 normal samples from The Cancer Genome Atlas database. Differences in the DNA methylation levels and sites were found to be associated with differences in the expressed genes related to GC development. Overall, 29 methylation-driven genes were found to be related to the GC subtypes, and in the prognostic model, we explored five prognoses related to the methylation sites. Finally, based on a low-rank matrix, seven subgroups were identified with different methylation statuses. These specific classifications based on DNA methylation levels may help to account for heterogeneity and aid in personalized treatments.

scholarly journals Occupational exposure to gases/fumes and mineral dust affect DNA methylation levels of genes regulating expression

2019 ◽  
Vol 28 (15) ◽  
pp. 2477-2485 ◽  
Author(s):  
Diana A van der Plaat ◽  
Judith M Vonk ◽  
Natalie Terzikhan ◽  
Kim de Jong ◽  
Maaike de Vries ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Occupational Exposure ◽  
Health Effects ◽  
Mineral Dust ◽  
Occupational Exposures ◽  
Expression Levels ◽  
Adverse Health Effects ◽  
Never Smokers ◽  
Gene Expression Levels

Abstract Many workers are daily exposed to occupational agents like gases/fumes, mineral dust or biological dust, which could induce adverse health effects. Epigenetic mechanisms, such as DNA methylation, have been suggested to play a role. We therefore aimed to identify differentially methylated regions (DMRs) upon occupational exposures in never-smokers and investigated if these DMRs associated with gene expression levels. To determine the effects of occupational exposures independent of smoking, 903 never-smokers of the LifeLines cohort study were included. We performed three genome-wide methylation analyses (Illumina 450 K), one per occupational exposure being gases/fumes, mineral dust and biological dust, using robust linear regression adjusted for appropriate confounders. DMRs were identified using comb-p in Python. Results were validated in the Rotterdam Study (233 never-smokers) and methylation-expression associations were assessed using Biobank-based Integrative Omics Study data (n = 2802). Of the total 21 significant DMRs, 14 DMRs were associated with gases/fumes and 7 with mineral dust. Three of these DMRs were associated with both exposures (RPLP1 and LINC02169 (2×)) and 11 DMRs were located within transcript start sites of gene expression regulating genes. We replicated two DMRs with gases/fumes (VTRNA2-1 and GNAS) and one with mineral dust (CCDC144NL). In addition, nine gases/fumes DMRs and six mineral dust DMRs significantly associated with gene expression levels. Our data suggest that occupational exposures may induce differential methylation of gene expression regulating genes and thereby may induce adverse health effects. Given the millions of workers that are exposed daily to occupational exposures, further studies on this epigenetic mechanism and health outcomes are warranted.

scholarly journals Codon usage is an important determinant of gene expression levels largely through its effects on transcription

2016 ◽  
Vol 113 (41) ◽  
pp. E6117-E6125 ◽  
Author(s):  
Zhipeng Zhou ◽  
Yunkun Dang ◽  
Mian Zhou ◽  
Lin Li ◽  
Chien-hung Yu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Codon Usage ◽  
Important Determinant ◽  
Mrna Translation ◽  
Mrna Levels ◽  
Protein Coding ◽  
Expression Levels ◽  
Highly Expressed Genes ◽  
The Impact ◽  
Gene Expression Levels

Codon usage biases are found in all eukaryotic and prokaryotic genomes, and preferred codons are more frequently used in highly expressed genes. The effects of codon usage on gene expression were previously thought to be mainly mediated by its impacts on translation. Here, we show that codon usage strongly correlates with both protein and mRNA levels genome-wide in the filamentous fungus Neurospora. Gene codon optimization also results in strong up-regulation of protein and RNA levels, suggesting that codon usage is an important determinant of gene expression. Surprisingly, we found that the impact of codon usage on gene expression results mainly from effects on transcription and is largely independent of mRNA translation and mRNA stability. Furthermore, we show that histone H3 lysine 9 trimethylation is one of the mechanisms responsible for the codon usage-mediated transcriptional silencing of some genes with nonoptimal codons. Together, these results uncovered an unexpected important role of codon usage in ORF sequences in determining transcription levels and suggest that codon biases are an adaptation of protein coding sequences to both transcription and translation machineries. Therefore, synonymous codons not only specify protein sequences and translation dynamics, but also help determine gene expression levels.

scholarly journals The Expression Level of mRNA, Protein, and DNA Methylation Status of FOSL2 of Uyghur in XinJiang in Type 2 Diabetes

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Jun Li ◽  
Siyuan Li ◽  
Ying Hu ◽  
Guolei Cao ◽  
Siyao Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Type 2 Diabetes ◽  
Dna Methylation ◽  
Methylation Status ◽  
Methylation Data ◽  
Biochemical Indicators ◽  
Expression Levels ◽  
Protein Levels ◽  
Cpg Sites

Objective. We investigated the expression levels of both FOSL2 mRNA and protein as well as evaluating DNA methylation in the blood of type 2 diabetes mellitus (T2DM) Uyghur patients from Xinjiang. This study also evaluated whether FOSL2 gene expression had demonstrated any associations with clinical and biochemical indicators of T2DM. Methods. One hundred Uyghur subjects where divided into two groups, T2DM and nonimpaired glucose tolerance (NGT) groups. DNA methylation of FOSL2 was also analyzed by MassARRAY Spectrometry and methylation data of individual units were generated by the EpiTyper v1.0.5 software. The expression levels of FOS-like antigen 2 (FOSL2) and the protein expression levels were analyzed. Results. Significant differences were observed in mRNA and protein levels when compared with the NGT group, while methylation rates of eight CpG units within the FOSL2 gene were higher in the T2DM group. Methylation of CpG sites was found to inversely correlate with expression of other markers. Conclusions. Results show that a correlation between mRNA, protein, and DNA methylation of FOSL2 gene exists among T2DM patients from Uyghur. FOSL2 protein and mRNA were downregulated and the DNA became hypermethylated, all of which may be involved in T2DM pathogenesis in this population.

scholarly journals A Genome-Wide Study of DNA Methylation Patterns and Gene Expression Levels in Multiple Human and Chimpanzee Tissues

PLoS Genetics ◽  
2011 ◽  
Vol 7 (2) ◽  
pp. e1001316 ◽  
Author(s):  
Athma A. Pai ◽  
Jordana T. Bell ◽  
John C. Marioni ◽  
Jonathan K. Pritchard ◽  
Yoav Gilad
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Expression Levels ◽  
Genome Wide ◽  
A Genome ◽  
Methylation Patterns ◽  
Genome Wide Study ◽  
Gene Expression Levels

scholarly journals Evaluation of UHRF1 and P16INK4A expression levels in newly diagnosed AML patients

2018 ◽  
Vol 5 (9) ◽  
pp. 2658-2663 ◽  
Author(s):  
Vahid Amiri ◽  
Mohamadhossein Mohammadi ◽  
Mohammad Reza Khosravi Farsani ◽  
Arshia Gharehbaghian ◽  
Abbas Hajifathali ◽  
...  
Keyword(s):  
Gene Expression ◽  
Negative Correlation ◽  
Leukemic Cells ◽  
Control Group ◽  
Newly Diagnosed ◽  
Expression Levels ◽  
Age Related ◽  
P16ink4a Gene ◽  
The Impact ◽  
Gene Expression Levels

Introduction: Gene mutation is an infrequent cause of tumor suppressor gene (TSG) defect in de novo AML patients. Instead, it seems that leukemic cells employ epigenetic tricks to attenuate the negative impacts of intact TSGs. Ordinarily, critical TSGs, such as p16INK4A, is hyper-methylated in AML blasts under the impact of master epigenetic regulators, such as UHRF1. In this study, we investigated the correlation between UHRF1 and p16INK4A gene expression levels in newly diagnosed AML patients. Methods: Bone marrow and peripheral blood samples were obtained from 50 newly diagnosed AML patients and 18 healthy normal control subjects. Gene expression levels of UHRF1 and P16INK4A were surveyed using SYBR Green Quantitative Real-time PCR. Statistical analyses were done using SPSS statistical software 21.0. Results: P16INK4A gene expression showed reduced levels in 80.64% of patients above 45 years of age, while only 32% of patients below 45 years had reduced expression levels. The Spearman correlation test also demonstrated a significant negative correlation between UHRF1 and p16INK4A gene expression levels in AML patients, which was not observed in the control group (r=0.343 and P= 0.015). Conclusion: Regarding the age-related patterns of UHRF1 and p16INK4A gene expression, and also the presence of negative correlation between them, we conclude that UHRF1 may potentially be involved in p16INK4A down-regulation in elderly AML patients, which may subsequently facilitate the progression of AML in older ages.  

scholarly journals Decreased Levels of Microfibril-Associated Glycoprotein (MAGP)-1 in Patients with Colon Cancer and Obesity Are Associated with Changes in Extracellular Matrix Remodelling

2021 ◽  
Vol 22 (16) ◽  
pp. 8485
Author(s):  
Iranzu Gómez de Segura ◽  
Patricia Ahechu ◽  
Javier Gómez-Ambrosi ◽  
Amaia Rodríguez ◽  
Beatriz Ramírez ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colon Cancer ◽  
Extracellular Matrix ◽  
Matrix Protein ◽  
Extracellular Matrix Protein ◽  
Mrna Levels ◽  
Expression Levels ◽  
The Impact ◽  
Ht 29 ◽  
Gene Expression Levels

Objective: The protein microfibril-associated glycoprotein (MAGP)-1 constitutes a crucial extracellular matrix protein. We aimed to determine its impact on visceral adipose tissue (VAT) remodelling during obesity-associated colon cancer (CC). Methods: Samples obtained from 79 subjects (29 normoponderal (NP) (17 with CC) and 50 patients with obesity (OB) (19 with CC)) were used in the study. Circulating concentrations of MAGP-1 and its gene expression levels (MFAP2) in VAT were analysed. The impact of inflammation-related factors and adipocyte-conditioned media (ACM) on MFAP2 mRNA levels in colon adenocarcinoma HT-29 cells were further analysed. The effects of MAGP-1 in the expression of genes involved in the extracellular matrix (ECM) remodelling and tumorigenesis in HT-29 cells was also explored. Results: Obesity (p < 0.01) and CC (p < 0.001) significantly decreased MFAP2 gene expression levels in VAT whereas an opposite trend in TGFB1 mRNA levels was observed. Increased mRNA levels of MFAP2 after the stimulation of HT-29 cells with lipopolysaccharide (LPS) (p < 0.01) and interleukin (IL)-4 (p < 0.01) together with a downregulation (p < 0.05) after hypoxia mimicked by CoCl2 treatment was observed. MAGP-1 treatment significantly enhanced the mRNA levels of the ECM-remodelling genes collagen type 6 α3 chain (COL6A3) (p < 0.05), decorin (DCN) (p < 0.01), osteopontin (SPP1) (p < 0.05) and TGFB1 (p < 0.05). Furthermore, MAGP-1 significantly reduced (p < 0.05) the gene expression levels of prostaglandin-endoperoxide synthase 2 (COX2/PTGS2), a key gene controlling cell proliferation, growth and adhesion in CC. Interestingly, a significant decrease (p < 0.01) in the mRNA levels of MFAP2 in HT-29 cells preincubated with ACM from volunteers with obesity compared with control media was observed. Conclusion: The decreased levels of MAGP-1 in patients with obesity and CC together with its capacity to modulate key genes involved in ECM remodelling and tumorigenesis suggest MAGP-1 as a link between AT excess and obesity-associated CC development.

scholarly journals Gene expression levels of DNA methyltransferase enzymes in Shank3-deficient mouse model of autism during early development

2021 ◽  
Vol 55 (4) ◽  
pp. 234-237
Author(s):  
Annamaria Srancikova ◽  
Alexandra Reichova ◽  
Zuzana Bacova ◽  
Jan Bakos
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Brain Development ◽  
Early Development ◽  
Molecular Mechanisms ◽  
Altered Expression ◽  
Expression Levels ◽  
The Brain ◽  
Deficient Mice ◽  
Gene Expression Levels

Abstract Objectives. The balance between DNA methylation and demethylation is crucial for the brain development. Therefore, alterations in the expression of enzymes controlling DNA methylation patterns may contribute to the etiology of neurodevelopmental disorders, including autism. SH3 and multiple ankyrin repeat domains 3 (Shank3)-deficient mice are commonly used as a well-characterized transgenic model to investigate the molecular mechanisms of autistic symptoms. DNA methyltransferases (DNMTs), which modulate several cellular processes in neurodevelopment, are implicated in the pathophysiology of autism. In this study, we aimed to describe the gene expression changes of major Dnmts in the brain of Shank3-deficient mice during early development. Methods and Results. The Dnmts gene expression was analyzed by qPCR in 5-day-old homo-zygous Shank3-deficient mice. We found significantly lower Dnmt1 and Dnmt3b gene expression levels in the frontal cortex. However, no such changes were observed in the hippocampus. However, significant increase was observed in the expression of Dnmt3a and Dnmt3b genes in the hypothalamus of Shank3-deficient mice. Conclusions. The present data indicate that abnormalities in the Shank3 gene are accompanied by an altered expression of DNA methylation enzymes in the early brain development stages, therefore, specific epigenetic control mechanisms in autism-relevant models should be more extensively investigated.

Genetic variants in R-Spondin/RNF43 complex and gene expression levels to predict efficacy of cetuximab (cet) in patients (pts) with metastatic colorectal cancer (mCRC): Data from the FIRE-3 phase III trial.

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 190-190
Author(s):  
Francesca Battaglin ◽  
Yi Xiao ◽  
Joshua Millstein ◽  
Andreas Seeber ◽  
Hiroyuki Arai ◽  
...  
Keyword(s):  
Gene Expression ◽  
Genetic Variants ◽  
Multivariable Analysis ◽  
Colorectal Carcinogenesis ◽  
Phase Iii ◽  
First Line ◽  
Tissue Samples ◽  
Expression Levels ◽  
The Impact ◽  
Gene Expression Levels

190 Background: Wnt signaling deregulation is a primary driver of colorectal carcinogenesis. RNF43 is a key suppressor of Wnt activation while R-Spodin inhibits RNF43 activity. RNF43 mutations are associated with the serrated neoplasia pathway, BRAF mutation and MSI. We hypothesized that genetic variants in the R-Spodin/RNF43 complex and corresponding genes expression levels may predict cetuximab efficacy in mCRC pts. Methods: Genomic DNA from blood samples of pts enrolled in the randomized FIRE-3 trial was genotyped through the OncoArray, a custom array manufactured by Illumina. The impact on outcome of 17 functional SNPs within RNF43/ ZNRF3, LGR4/5 and RSPO1/2/3 was analyzed in 129 pts treated with first-line FOLFIRI/cet and 107 pts treated with FOLFIRI/bevacizumab (bev). Gene expression levels were measured from tumor tissue samples from 102 pts in the cet arm by HTG EdgeSeq Oncology Biomarker Panel. False discovery rate (FDR) for gene expression analysis was computed using the Benjamini-Hochberg approach (significant Q < 0.1). Results: In the cet cohort, pts with the C/C genotype of ZNRF3 rs132531 had significantly shorter overall survival compared to any T allele carriers (mOS: 20.3 vs 52 mo) in both univariable (HR 3.61, 95% CI 1.65-7.88, P < .001) and multivariable analysis (adjusted P = .01). Conversely, RSPO1 rs4652964 any G allele carriers showed increased tumor response (TR) rates compared to the A/A genotype (83 vs 66 %, P = .04). These associations were not observed in bev arm. Lower gene expression levels of RNF43 were associated with shorter PFS in pts with right-sided tumors receiving FOLFIRI/cet ( P = .006, Q < 0.1). RSPO1 expression levels were also associated with TR in the same subgroup (70 vs 10% in high vs low; P = .001, Q < .05). RNF43 expression was associated with TR in pts with left-sided tumors (82% in high vs 58% in low, P = .014, Q = 0.1). Conclusions: Our results provide the first evidence that germline polymorphisms and tumor gene expression levels of RNF43/ ZNRF3 and RSPO1 may have a predictive value in mCRC pts receiving first-line cetuximab-based treatment and contribute to modulate anti-EGFRs activity.

scholarly journals Transcriptome-level assessment of the impact of deformed wing virus on honey bee larvae

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zih-Ting Chang ◽  
Yu-Feng Huang ◽  
Yue-Wen Chen ◽  
Ming-Ren Yen ◽  
Po-Ya Hsu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Honey Bee ◽  
Larval Stage ◽  
Honey Bees ◽  
Pupal Stage ◽  
Deformed Wing Virus ◽  
Expression Levels ◽  
The Impact ◽  
Honey Bee Larvae ◽  
Gene Expression Levels

AbstractDeformed wing virus (DWV) prevalence is high in honey bee (Apis mellifera) populations. The virus infects honey bees through vertical and horizontal transmission, leading to behavioural changes, wing deformity, and early mortality. To better understand the impacts of viral infection in the larval stage of honey bees, artificially reared honey bee larvae were infected with DWV (1.55 × 1010 copies/per larva). No significant mortality occurred in infected honey bee larvae, while the survival rates decreased significantly at the pupal stage. Examination of DWV replication revealed that viral replication began at 2 days post inoculation (d.p.i.), increased dramatically to 4 d.p.i., and then continuously increased in the pupal stage. To better understand the impact of DWV on the larval stage, DWV-infected and control groups were subjected to transcriptomic analysis at 4 d.p.i. Two hundred fifty-five differentially expressed genes (DEGs) (fold change ≥ 2 or ≤ -2) were identified. Of these DEGs, 168 genes were downregulated, and 87 genes were upregulated. Gene Ontology (GO) analysis showed that 141 DEGs (55.3%) were categorized into molecular functions, cellular components and biological processes. One hundred eleven genes (38 upregulated and 73 downregulated) were annotated by KO (KEGG Orthology) pathway mapping and involved metabolic pathways, biosynthesis of secondary metabolites and glycine, serine and threonine metabolism pathways. Validation of DEGs was performed, and the related gene expression levels showed a similar tendency to the DEG predictions at 4 d.p.i.; cell wall integrity and stress response component 1 (wsc1), cuticular protein and myo-inositol 2-dehydrogenase (iolG) were significantly upregulated, and small conductance calcium-activated potassium channel protein (SK) was significantly downregulated at 4 d.p.i. Related gene expression levels at different d.p.i. revealed that these DEGs were significantly regulated from the larval stage to the pupal stage, indicating the potential impacts of gene expression levels from the larval to the pupal stages. Taken together, DWV infection in the honey bee larval stage potentially influences the gene expression levels from larvae to pupae and reduces the survival rate of the pupal stage. This information emphasizes the consequences of DWV prevalence in honey bee larvae for apiculture.

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