scholarly journals Sex-specific longitudinal association of DNA methylation with lung function

2021 ◽  
pp. 00127-2021
Author(s):  
Shadia Khan Sunny ◽  
Hongmei Zhang ◽  
Caroline L. Relton ◽  
Susan Ring ◽  
Latha Kadalayil ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Function ◽  
Mixed Models ◽  
Enrichment Analysis ◽  
Expression Data ◽  
Specific Effects ◽  
Parents And Children ◽  
Longitudinal Association ◽  
Males And Females ◽  
Avon Longitudinal Study

Investigating whether DNA-M at an earlier age is associated with lung function at a later age and whether this relationship differs by sex could enable prediction of future lung function deficit.A training/testing-based technique was used to screen 402 714 cytosine-phosphate-guanine dinucleotide sites (CpGs) to assess the longitudinal association of blood-based DNA-M at ages 10 and 18-years with lung function at 18 and 26-years, respectively, in the Isle of Wight birth cohort (IOWBC). Multivariable linear mixed models were applied to the CpGs that passed screening. To detect differentially methylated regions (DMRs), DMR enrichment analysis was conducted. Findings were further examined in the Avon Longitudinal Study of Parents and Children (ALSPAC). Biological relevance of the identified CpGs was assessed utilizing gene expression data.DNA-M at 8 CpGs (FEV1: 5 and FEV1/FVC: 3 CpGs) at an earlier age was associated with lung function at a later age regardless of sex, while at 13 CpGs (FVC: 5, FEV1:3, and FEV1/FVC: 5 CpGs), the associations were sex-specific (pFDR<0.05) in IOWBC with consistent directions of association in ALSPAC (IOWBC-ALSPAC consistent CpGs). cg16582803 (WNT10A) and cg14083603 (ZGPAT) were replicated in ALSPAC for main and sex-specific effects, respectively. Among IOWBC-ALSPAC consistent CpGs, DNA-M at cg01376079 (SSH3) and cg07557690 (TGFBR3) was associated with gene expression both longitudinally and cross-sectionally. In total, 57 and 170 DMRs were linked to lung function longitudinally in males and females, respectively.CpGs showing longitudinal associations with lung function have the potential to serve as candidate markers in future studies on lung function deficit prediction.

scholarly journals Pre-adolescence DNA methylation is associated with lung function trajectories from pre-adolescence to adulthood

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Shadia Khan Sunny ◽  
Hongmei Zhang ◽  
Fawaz Mzayek ◽  
Caroline L. Relton ◽  
Susan Ring ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Lung Function ◽  
Lung Diseases ◽  
Critical Role ◽  
Enrichment Analysis ◽  
Chronic Obstructive ◽  
Chronic Lung Diseases ◽  
Parents And Children ◽  
Males And Females

Abstract Background The pattern of lung function development from pre-adolescence to adulthood plays a significant role in the pathogenesis of respiratory diseases. Inconsistent findings in genetic studies on lung function trajectories, the importance of DNA methylation (DNA-M), and the critical role of adolescence in lung function development motivated the present study of pre-adolescent DNA-M with lung function trajectories. This study investigated epigenome-wide associations of DNA-M at cytosine-phosphate-guanine dinucleotide sites (CpGs) at childhood with lung function trajectories from childhood to young adulthood. Methods DNA-M was measured in peripheral blood at age 10 years in the Isle of Wight (IOW) birth cohort. Spirometry was conducted at ages 10, 18, and 26 years. A training/testing-based method was used to screen CpGs. Multivariable logistic regressions were applied to assess the association of DNA-M with lung function trajectories from pre-adolescence to adulthood. To detect differentially methylated regions (DMRs) among CpGs, DMR enrichment analysis was conducted. Findings were further tested in the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. Pathway analyses were performed on the mapped genes of the identified CpGs and DMRs. Biological relevance of the identified CpGs was assessed with gene expression. All analyses were stratified by sex. Results High and low trajectories of FVC, FEV1, and FEV1/FVC in each sex were identified. At PBonferroni < 0.05, DNA-M at 96 distinct CpGs (41 in males) showed associations with FVC, FEV1, and FEV1/FVC trajectories in IOW cohort. These 95 CpGs (cg24000797 was disqualified) were further tested in ALSPAC; 44 CpGs (19 in males) of these 95 showed the same directions of association as in the IOW cohort; and three CpGs (two in males) were replicated. DNA-M at two and four CpGs showed significant associations with the corresponding gene expression in males and females, respectively. At PFDR < 0.05, 23 and 10 DMRs were identified in males and females, respectively. Pathways were identified; some of those were linked to lung function and chronic obstructive lung diseases. Conclusion The identified CpGs at pre-adolescence have the potential to serve as candidate markers for lung function trajectory prediction and chronic lung diseases.

scholarly journals Comparative pathway enrichment analysis in gastrointestinal cell lines Caco-2, HT-29, HEPG2, and colon fibroblasts using a custom expression panel for tight-junction and cytoskeletal regulatory genes

2019 ◽  
Author(s):  
JM Robinson
Keyword(s):  
Gene Expression ◽  
Comparative Analysis ◽  
Tight Junction ◽  
Cell Lines ◽  
Enrichment Analysis ◽  
Pathway Enrichment Analysis ◽  
Intestinal Epithelial ◽  
Expression Data ◽  
Pathway Enrichment ◽  
Ht 29

AbstractThis brief report details results from a comparative analysis of Nanostring expression data between cell lines HEPG2, Caco-2, HT-29, and colon fibroblasts. Raw and normalized data are available publicly in the NCBI GEO/Bioproject databases. Results identify cell-line specific variations in gene expression relevant to intestinal epithelial function.

scholarly journals Revealing Biological Pathways Implicated in Lung Cancer from TCGA Gene Expression Data Using Gene Set Enrichment Analysis

2014 ◽  
Vol 13s1 ◽  
pp. CIN.S13882 ◽  
Author(s):  
Binghuang Cai ◽  
Xia Jiang
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Gene Expression Data ◽  
Lung Squamous Cell Carcinoma ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Expression Data ◽  
Gene Set Enrichment ◽  
Gene Set ◽  
Pathway Gene

Analyzing biological system abnormalities in cancer patients based on measures of biological entities, such as gene expression levels, is an important and challenging problem. This paper applies existing methods, Gene Set Enrichment Analysis and Signaling Pathway Impact Analysis, to pathway abnormality analysis in lung cancer using microarray gene expression data. Gene expression data from studies of Lung Squamous Cell Carcinoma (LUSC) in The Cancer Genome Atlas project, and pathway gene set data from the Kyoto Encyclopedia of Genes and Genomes were used to analyze the relationship between pathways and phenotypes. Results, in the form of pathway rankings, indicate that some pathways may behave abnormally in LUSC. For example, both the cell cycle and viral carcinogenesis pathways ranked very high in LUSC. Furthermore, some pathways that are known to be associated with cancer, such as the p53 and the PI3K-Akt signal transduction pathways, were found to rank high in LUSC. Other pathways, such as bladder cancer and thyroid cancer pathways, were also ranked high in LUSC.

Comparative analysis of molecular aberration in different genders for identification of key pathways in hepatocellular carcinoma.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e23192-e23192
Author(s):  
Li Yu ◽  
Feng Tieshan ◽  
Lifeng Li ◽  
Shifu Chen ◽  
Liu Xiaoliang
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Differential Expression ◽  
Mutation Frequency ◽  
Molecular Mechanisms ◽  
Rho Gtpase ◽  
Enrichment Analysis ◽  
Fold Change ◽  
P Value ◽  
Males And Females

e23192 Background: The incidence rate of hepatocellular carcinoma (HCC) varies significantly between genders, being higher in men than in women. While the molecular mechanisms remain unexplored, we systematically analyzed the gene expression and SNV signature to identify key molecular aberrations and pathways. Methods: Gene expression and simple nucleotide variation data of 407 HCC patients with HCC including 140 females and 267 males were collected. We identified genes with differential mutation frequency in two cohorts using Fisher’s exact test (p-value < 0.05), and Deseq2 to identify differential expression genes (FDR < 0.05 and fold change > 2). Enrichment analysis was applied using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and the Reactome database (p adjust < 0.05). Results: In total, 103 genes with differential mutation frequency in two cohorts were identified. Of these genes, 57 genes were differentially expressed, and the number of up-regulated genes in males and females were 21 and 36, respectively. The genes that show significant up-regulation in males are KDM5D and ANKFN1 which have the log2(fold change) of 7.49 and 4.45. The genes that show significant up-regulation in females are SYT13 and SCD5 which have the log2(fold change) of 2.33 and 2.29. The result of enrichment analysis showed that the up-regulated genes in males and females were involved in different biological pathways. In males, the up-regulated genes mainly participated in the PPAR signaling pathway. In females, the up-regulated genes mainly participated in the Rho GTPase cycle, regulation of insulin secretion and integration of energy metabolism. Conclusions: In this study, 57 genes with differential mutation frequency and differential expression between males and females with HCC were identified based on TCGA dataset. Enrichment analysis result indicated that these genes are mainly involved in signaling pathways relevant to carcinogenesis and metabolism.

scholarly journals Bioinformatics Analysis to Identify Key Genes and Pathways Associated with Sex Differences in Rheumatoid Arthritis

2021 ◽  
Author(s):  
Siwei Su ◽  
Wenjun Jiang ◽  
Xiaoying Wang ◽  
Sen Du ◽  
Lu Zhou ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Hub Genes ◽  
Protein Protein Interaction ◽  
Kegg Pathways ◽  
Ppi Networks ◽  
Males And Females ◽  
Key Genes

Abstract ObjectiveThis study aims to explore the key genes and investigated the different signaling pathways of rheumatoid arthritis (RA) between males and females.Data and MethodsThe gene expression data of GSE55457, GSE55584, and GSE12021 were obtained from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using R software. Then, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analysis of DEGs were conducted via Database for Annotation, Visualization, and Integrated Discovery (DAVID). The protein-protein interaction (PPI) networks of DEGs were constructed by Cytoscape 3.6.0. ResultsA total of 416 upregulated DEGs and 336 downregulated DEGs were identified in males, and 744 upregulated DEGs and 309 downregulated DEGs were identified in females.IL6, MYC, EGFR, FOS and JUN were considered as hub genes in RA pathogenesis in males, while IL6, ALB, PTPRC, CXCL8 and CCR5 were considered as hub genes in RA pathogenesis in females. ConclusionIdentified DEG may be involved in the different mechanisms of RA disease progression between males and females, and they are treated as prognostic markers or therapeutic targets for males and females. The pathogenesis mechanism of RA is sex-dependent.

scholarly journals The Drosophila melanogaster Levodopa-Induced Depression Model Exhibits Negative Geotaxis Deficits and Differential Gene Expression in Males and Females

2021 ◽  
Vol 15 ◽  
Author(s):  
Thiago C. Moulin ◽  
Federico Ferro ◽  
Angela Hoyer ◽  
Pierre Cheung ◽  
Michael J. Williams ◽  
...  
Keyword(s):  
Gene Expression ◽  
Drosophila Melanogaster ◽  
Psychosocial Functioning ◽  
Molecular Mechanisms ◽  
Expression Patterns ◽  
Mating Frequency ◽  
Negative Geotaxis ◽  
Specific Effects ◽  
Males And Females ◽  
The Difference

More than 320 million people live with depression in the world, a disorder that severely limits psychosocial functioning and diminishes quality of life. The prevalence of major depression is almost two times higher in women than in men. However, the molecular mechanisms of its sex-specific pathophysiology are still poorly understood. Drosophila melanogaster is an established model for neurobiological research of depression-like states, as well as for the study of molecular and genetic sex differences in the brain. Here, we investigated sex-specific effects on forced-climbing locomotion (negative geotaxis) and gene expression of a fly model of depression-like phenotypes induced by levodopa administration, which was previously shown to impair normal food intake, mating frequency, and serotonin concentration. We observed that both males and females show deficits in the forced-climbing paradigm; however, modulated by distinct gene expression patterns after levodopa administration. Our results suggest that Drosophila models can be a valuable tool for identifying the molecular mechanisms underlying the difference of depressive disorder prevalence between men and women.

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