scholarly journals Genome Wide MeDIP-Seq Profiling of Wild and Cultivated Olives Trees Suggests DNA Methylation Fingerprint on the Sensory Quality of Olive Oil

Plants ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1405
Author(s):  
Oussama Badad ◽  
Naoufal Lakhssassi ◽  
Nabil Zaid ◽  
Abdelhalim El Baze ◽  
Younes Zaid ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Phenotypic Plasticity ◽  
Secondary Metabolites ◽  
Olive Oil ◽  
Sensory Quality ◽  
Methylation Status ◽  
Genome Wide ◽  
Pharmaceutical Properties ◽  
Methylation Profiling

Secondary metabolites are particularly important to humans due to their pharmaceutical properties. Moreover, secondary metabolites are key compounds in climate change adaptation in long-living trees. Recently, it has been described that the domestication of Olea subspecies had no major selection signature on coding variants and was mainly related to changes in gene expression. In addition, the phenotypic plasticity in Olea subspecies was linked to the activation of transposable elements in the genes neighboring. Here, we investigated the imprint of DNA methylation in the unassigned fraction of the phenotypic plasticity of the Olea subspecies, using methylated DNA immuno-precipitation sequencing (MeDIP-seq) for a high-resolution genome-wide DNA methylation profiling of leaves and fruits during fruit development in wild and cultivated olives from Turkey. Notably, the methylation profiling showed a differential DNA methylation in secondary metabolism responsible for the sensory quality of olive oil. Here, we highlight for the first time the imprint of DNA methylation in modulating the activity of the Linoleate 9S lipoxygenase in the biosynthesis of volatile aromatic compounds. Unprecedently, the current study reveals the methylation status of the olive genome during fruit ripening.

scholarly journals Diagnosis and Prognostication of Ductal Adenocarcinomas of the Pancreas Based on Genome-Wide DNA Methylation Profiling by Bacterial Artificial Chromosome Array-Based Methylated CpG Island Amplification

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Masahiro Gotoh ◽  
Eri Arai ◽  
Saori Wakai-Ushijima ◽  
Nobuyoshi Hiraoka ◽  
Tomoo Kosuge ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Bacterial Artificial Chromosome ◽  
Cpg Island ◽  
Methylation Status ◽  
Artificial Chromosome ◽  
Prognostic Indicators ◽  
Bac Clones ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

To establish diagnostic criteria for ductal adenocarcinomas of the pancreas (PCs), bacterial artificial chromosome (BAC) array-based methylated CpG island amplification was performed using 139 tissue samples. Twelve BAC clones, for which DNA methylation status was able to discriminate cancerous tissue (T) from noncancerous pancreatic tissue in the learning cohort with a specificity of 100%, were identified. Using criteria that combined the 12 BAC clones, T-samples were diagnosed as cancers with 100% sensitivity and specificity in both the learning and validation cohorts. DNA methylation status on 11 of the BAC clones, which was able to discriminate patients showing early relapse from those with no relapse in the learning cohort with 100% specificity, was correlated with the recurrence-free and overall survival rates in the validation cohort and was an independent prognostic factor by multivariate analysis. Genome-wide DNA methylation profiling may provide optimal diagnostic markers and prognostic indicators for patients with PCs.

scholarly journals Genome-Wide DNA Methylation Pattern of Cancer Stem Cells in Esophageal Cancer

2020 ◽  
Vol 19 ◽  
pp. 153303382098379
Author(s):  
Xiying Yu ◽  
Ying Teng ◽  
Xingran Jiang ◽  
Hui Yuan ◽  
Wei Jiang
Keyword(s):  
Dna Methylation ◽  
Stem Cells ◽  
Esophageal Cancer ◽  
Cancer Stem Cells ◽  
Side Population ◽  
Methylation Status ◽  
Methylation Profile ◽  
Cpg Dinucleotides ◽  
Genome Wide ◽  
Differentially Methylated Genes

Background: Cancer stem cells (CSCs) are considered the main cause of cancer recurrence and metastasis, and DNA methylation is involved in the maintenance of CSCs. However, the methylation profile of esophageal CSCs remains unknown. Methods: Side population (SP) cells were isolated from esophageal squamous cell carcinoma (ESCC) cell lines KYSE150 and EC109. Sphere-forming cells were collected from human primary esophageal cancer cells. SP cells and sphere-forming cells were used as substitutes for cancer stem-like cells. We investigated the genome-wide DNA methylation profile in esophageal cancer stem-like cells using reduced representation bisulfite sequencing (RRBS). Results: Methylated cytosine (mC) was found mostly in CpG dinucleotides, located mostly in the intronic, intergenic, and exonic regions. Forty intersected differentially methylated regions (DMRs) were identified in these 3 groups of samples. Thirteen differentially methylated genes with the same alteration trend were detected; these included OTX1, SPACA1, CD163L1, ST8SIA2, TECR, CADM3, GRM1, LRRK1, CHSY1, PROKR2, LINC00658, LOC100506688, and NKD2. DMRs covering ST8SIA2 and GRM1 were located in exons. These differentially methylated genes were involved in 10 categories of biological processes and 3 cell signaling pathways. Conclusions: When compared to non-CSCs, cancer stem-like cells have a differential methylation status, which provides an important biological base for understanding esophageal CSCs and developing therapeutic targets for esophageal cancer.

scholarly journals Genome-wide DNA methylation profiling with MeDIP-seq using archived dried blood spots

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Nicklas H. Staunstrup ◽  
Anna Starnawska ◽  
Mette Nyegaard ◽  
Lene Christiansen ◽  
Anders L. Nielsen ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Dried Blood Spots ◽  
Blood Spots ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

Abstract 40: Disturbed Flow Alters Genomewide DNA Methylation Patterns, Regulating Endothelial Gene Expression and Atherosclerosis

2014 ◽  
Vol 34 (suppl_1) ◽  
Author(s):  
Jessilyn Dunn ◽  
Haiwei Qiu ◽  
Soyeon Kim ◽  
Daudi Jjingo ◽  
Ryan Hoffman ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Dna Methyltransferase ◽  
Methylation Status ◽  
Western Diet ◽  
Dependent Manner ◽  
Gene Promoters ◽  
Genome Wide ◽  
Methylation Patterns ◽  
Endothelial Gene Expression

Atherosclerosis preferentially occurs in arterial regions of disturbed blood flow (d-flow), which alters gene expression, endothelial function, and atherosclerosis. Here, we show that d-flow regulates genome-wide DNA methylation patterns in a DNA methyltransferase (DNMT)-dependent manner. We found that d-flow induced expression of DNMT1, but not DNMT3a or DNMT3b, in mouse arterial endothelium in vivo and in cultured endothelial cells by oscillatory shear (OS) compared to unidirectional laminar shear in vitro. The DNMT inhibitor 5-Aza-2’deoxycytidine (5Aza) or DNMT1 siRNA significantly reduced OS-induced endothelial inflammation. Moreover, 5Aza reduced lesion formation in two atherosclerosis models using ApoE-/- mice (western diet for 3 months and the partial carotid ligation model with western diet for 3 weeks). To identify the 5Aza mechanisms, we conducted two genome-wide studies: reduced representation bisulfite sequencing (RRBS) and transcript microarray using endothelial-enriched gDNA and RNA, respectively, obtained from the partially-ligated left common carotid artery (LCA exposed to d-flow) and the right contralateral control (RCA exposed to s-flow) of mice treated with 5Aza or vehicle. D-flow induced DNA hypermethylation in 421 gene promoters, which was significantly prevented by 5Aza in 335 genes. Systems biological analyses using the RRBS and the transcriptome data revealed 11 mechanosensitive genes whose promoters were hypermethylated by d-flow but rescued by 5Aza treatment. Of those, five genes contain hypermethylated cAMP-response-elements in their promoters, including the transcription factors HoxA5 and Klf3. Their methylation status could serve as a mechanosensitive master switch in endothelial gene expression. Our results demonstrate that d-flow controls epigenomic DNA methylation patterns in a DNMT-dependent manner, which in turn alters endothelial gene expression and induces atherosclerosis.

EPCO-17. METHYLATION ANALYSIS OF MATCHED PRIMARY AND RECURRENT IDHmt ASTROCYTOMA; AN UPDATE FROM THE GLIOMA LONGITUDINAL ANALYSIS NL (GLASS-NL) CONSORTIUM

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi5-vi5
Author(s):  
Wies Vallentgoed ◽  
Anneke Niers ◽  
Karin van Garderen ◽  
Martin van den Bent ◽  
Kaspar Draaisma ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Surgical Resection ◽  
Molecular Mechanisms ◽  
Relative Proportion ◽  
Low Grade ◽  
High Grade ◽  
Primary Tumors ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

Abstract The GLASS-NL consortium, was initiated to gain insight into the molecular mechanisms underlying glioma evolution and to identify markers of progression in IDH-mutant astrocytomas. Here, we present the first results of genome-wide DNA-methylation profiling of GLASS-NL samples. 110 adult patients were identified with an IDH-mutant astrocytoma at first diagnosis. All patients underwent a surgical resection of the tumor at least twice, separated by at least 6 months (median 40.9 months (IQR: 24.0, 64.7). In 37% and 18% of the cases, patients were treated with radiotherapy or chemotherapy respectively, before surgical resection of the recurrent tumor. DNA-methylation profiling was done on 235 samples from 103 patients (102 1st, 101 2nd, 29 3rd, and 3 4th resection). Copy number variations were also extracted from these data. Methylation classes were determined according to Capper et al. Overall survival (OS) was measured from date of first surgery. Of all primary tumors, the methylation-classifier assigned 85 (87%) to the low grade subclass and 10 (10%) to the high grade subclass. The relative proportion of high grade tumors increased ~three-fold at tumor recurrence (32/101, 32%) and even further in the second recurrence (15/29, 52%). Methylation classes were prognostic, both in primary and recurrent tumors. The overall DNA-methylation levels of recurrent samples was lower than that of primary samples. This difference is explained by the increased number of high grade samples at recurrence, since near identical DNA-methylation levels were observed in samples that remained low grade. In an unsupervised analysis, DNA-methylation data derived from primary and first recurrence samples of individual patients mostly (79%) cluster together. Recurrent samples that do not cluster with their primary tumor, form a separate group with relatively low genome-wide DNA-methylation. Our data demonstrate that methylation profiling identifies a shift towards a higher grade at tumor progression coinciding with reduced genome-wide DNA-methylation levels.

scholarly journals Genome-wide DNA methylation profiling shows a distinct epigenetic signature associated with lung macrophages in cystic fibrosis

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Youdinghuan Chen ◽  
David A. Armstrong ◽  
Lucas A. Salas ◽  
Haley F. Hazlett ◽  
Amanda B. Nymon ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Dna Methylation ◽  
Lung Macrophages ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

The effect of addition of olive oil and “Aceto balsamico di Modena” wine vinegar in conjunction with active atmosphere packaging on the microbial and sensory quality of “Lollo Verde” lettuce and rocket salad

Anaerobe ◽  
2011 ◽  
Vol 17 (6) ◽  
pp. 303-306 ◽  
Author(s):  
Ioannis S. Arvanitoyannis ◽  
Achilleas D. Bouletis ◽  
Eirini A. Papa ◽  
Dimitrios C. Gkagtzis ◽  
Christos Hadjichristodoulou ◽  
...  
Keyword(s):  
Olive Oil ◽  
Sensory Quality ◽  
Wine Vinegar

scholarly journals Title Page Title: The role of DNA methylation in the accumulation of iridoid glycosides in Rehmannia glutinosa

2021 ◽  
Author(s):  
Tianyu Dong ◽  
Xiaoyan Wei ◽  
Qianting Qi ◽  
Peilei Chen ◽  
Yanqing Zhou ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Secondary Metabolites ◽  
Iridoid Glycosides ◽  
Methylation Status ◽  
Plant Secondary Metabolites ◽  
Dna Demethylation ◽  
Terpene Biosynthesis ◽  
The Relationship

Abstract Background: Epigenetic regulation plays a significant role in the accumulation of plant secondary metabolites. The terpenoids are the most abundant in the secondary metabolites of plants, iridoid glycosides belong to monoterpenoids which is one of the main medicinal components of R.glutinosa. At present, study on iridoid glycosides mainly focuses on its pharmacology, accumulation and distribution, while the mechanism of its biosynthesis and the relationship between DNA methylation and plant terpene biosynthesis are seldom reports. Results: The research showed that the expression of DXS, DXR, 10HGO, G10H, GPPS and accumulation of iridoid glycosides increased at first and then decreased with the maturity of R.glutinosa, and under different concentrations of 5-azaC, the expression of DXS, DXR, 10HGO, G10H, GPPS and the accumulation of total iridoid glycosides were promoted, the promotion effect of low concentration (15μM-50μM) was more significant, the content of genomic DNA 5mC decreased significantly, the DNA methylation status of R.glutinosa genomes was also changed. DNA demethylation promoted gene expression and increased the accumulation of iridoid glycosides, but excessive demethylation inhibited gene expression and decreased the accumulation of iridoid glycosides. Conclusion: The analysis of DNA methylation, gene expression, and accumulation of iridoid glycoside provides insights into accumulation of terpenoids in R.glutinosa and lays a foundation for future studies on the effects of epigenetics on the synthesis of secondary metabolites.

BIOM-19. DECIPHERING THE METHYLATION SIGNATURE OF CIRCULATING EXTRACELLULAR VESICLE DNA FOR CNS TUMOR CLASSIFICATION

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi14-vi14
Author(s):  
Franz Ricklefs ◽  
Tammo Ricklefs ◽  
Cecile Maire ◽  
Amanda Salviano da Silva ◽  
Kathrin Wollman ◽  
...  
Keyword(s):  
Empirical Bayes ◽  
Methylation Status ◽  
Extracellular Vesicle ◽  
Tumor Detection ◽  
Tumor Classification ◽  
Tumor Patients ◽  
Cns Tumor ◽  
Genome Wide ◽  
Tumor Entities ◽  
Methylation Profiling

Abstract Genome-wide methylation profiling has recently been developed into a tool that allows subtype tumor classification in central nervous system (CNS) tumors. We previously showed that extracellular vesicle (EV) DNA faithfully reflects the tumor methylation class, including information on the IDH mutation and MGMT promoter methylation status. Furthermore we showed that circulating plasma EVs are elevated in CNS tumor patients in comparison to non-tumor donors (HD) controls with tumor related protein profiles. We now investigated, whether the methylation signatures of circulating DNA (both EV and cfNDA) can be used in liquid biopsy approaches for CNS tumor detection and classification. We isolated DNA from circulating EVs (n=27), cfDNA (n=27) and tumor tissue DNA (n=90) of patients with glioblastoma (GBM), meningioma (MGN) and cerebral metastases (CM). Patients undergoing epilepsy surgery as well as aneurysm clipping were used as non-tumor controls (HD, n= 7). EVs were classified by nanoparticle analysis, immunoblotting, imaging flow cytometry and electron microscopy. Isolated EV-DNA comprised many sorts of molecular weight (up tp >10Kb) in comparison to cfDNA (130-140bp). Healthy donors and tumor patients showed not differences in their DNA size profiles. We performed genome-wide methylation profiling by 850k Illumina EPIC arrays for all DNA analytes and tumor entities. Linear models and empirical Bayes methods identified significant differentially methylated CpGs (GBM vs. HD, MGN, vs HD, CM vs. HD), that revealed tumor specific signatures to detect and discriminate different CNS tumor entities. Visualization of differentially methylated CPGs by dimension reduction (PCA, t-SNE, Umap) verified tumor specific clusters. cfDNA and EV-DNA exhibited distinctive individual CpG profiles. Our study shows that the methylation signature of circulating EV DNA and cfDNA can be used to separate healthy individuals from tumor patients and could potentially complement standard-of-care imaging to improve tumor detection, classification and surveillance.

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