scholarly journals Identification of polymorphic and off-target probe binding sites on the Illumina Infinium MethylationEPIC BeadChip

2016 ◽  
Author(s):  
Daniel L. McCartney ◽  
Rosie M. Walker ◽  
Stewart W. Morris ◽  
Andrew M. McIntosh ◽  
David J. Porteous ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Genome Wide ◽  
Wide Range ◽  
Control Procedures ◽  
Target Probe ◽  
Genomic Regions ◽  
Array Performance ◽  
The Relationship ◽  
Inexpensive Technique ◽  
Methylation Profiling

AbstractGenome-wide analysis of DNA methylation has now become a relatively inexpensive technique thanks to array-based methylation profiling technologies. The recently developed Illumina Infinium MethylationEPIC BeadChip interrogates methylation at over 850,000 sites across the human genome, covering 99% of RefSeq genes. This array supersedes the widely used Infinium HumanMethylation450 BeadChip, which has permitted insights into the relationship between DNA methylation and a wide range of conditions and traits. Previous research has identified issues with certain probes on both the HumanMethylation450 BeadChip and its predecessor, the Infinium HumanMethylation27 BeadChip, which were predicted to affect array performance. These issues concerned probe-binding specificity and the presence of polymorphisms at target sites. Using in silico methods, we have identified probes on the Infinium MethylationEPIC BeadChip that are predicted to (i) measure methylation at polymorphic sites and (ii) hybridise to multiple genomic regions. We intend these resources to be used for quality control procedures when analysing data derived from this platform.

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

scholarly journals Role of CxxC-finger protein 1 in establishing mouse oocyte epigenetic landscapes

2021 ◽  
Author(s):  
Qian-Qian Sha ◽  
Ye-Zhang Zhu ◽  
Yunlong Xiang ◽  
Jia-Li Yu ◽  
Xiao-Ying Fan ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Histone H3 ◽  
Finger Protein ◽  
Maternal Genome ◽  
Wide Range ◽  
Transcriptional Changes ◽  
Nuclear Events ◽  
Genomic Regions ◽  
Cxxc Finger Protein 1

Abstract During oogenesis, oocytes gain competence and subsequently undergo meiotic maturation and prepare for embryonic development; trimethylated histone H3 on lysine-4 (H3K4me3) mediates a wide range of nuclear events during these processes. Oocyte-specific knockout of CxxC-finger protein 1 (CXXC1, also known as CFP1) impairs H3K4me3 accumulation and causes changes in chromatin configurations. This study investigated the changes in genomic H3K4me3 landscapes in oocytes with Cxxc1 knockout and the effects on other epigenetic factors such as the DNA methylation, H3K27me3, H2AK119ub1 and H3K36me3. H3K4me3 is overall decreased after knocking out Cxxc1, including both the promoter region and the gene body. CXXC1 and MLL2, which is another histone H3 methyltransferase, have nonoverlapping roles in mediating H3K4 trimethylation during oogenesis. Cxxc1 deletion caused a decrease in DNA methylation levels and affected H3K27me3 and H2AK119ub1 distributions, particularly at regions with high DNA methylation levels. The changes in epigenetic networks implicated by Cxxc1 deletion were correlated with the transcriptional changes in genes in the corresponding genomic regions. This study elucidates the epigenetic changes underlying the phenotypes and molecular defects in oocytes with deleted Cxxc1 and highlights the role of CXXC1 in orchestrating multiple factors that are involved in establishing the appropriate epigenetic states of maternal genome.

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

Genome-wide DNA methylation profiling and gut flora analysis in intestinal polyps patients

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Lili Liu ◽  
Yanjie Chen ◽  
Taotao Liu ◽  
Jie Yu ◽  
Lili Ma ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Gut Flora ◽  
Intestinal Polyps ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

scholarly journals Genome-wide DNA methylation profiling of human diabetic peripheral neuropathy in subjects with type 2 diabetes mellitus

Epigenetics ◽  
2019 ◽  
Vol 14 (8) ◽  
pp. 766-779 ◽  
Author(s):  
Kai Guo ◽  
Sarah Elzinga ◽  
Stephanie Eid ◽  
Claudia Figueroa-Romero ◽  
Lucy M. Hinder ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Dna Methylation ◽  
Type 2 Diabetes Mellitus ◽  
Peripheral Neuropathy ◽  
Diabetic Peripheral Neuropathy ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

scholarly journals Genome-Wide DNA Methylation Profiling in the Lotus (Nelumbo nucifera) Flower Showing its Contribution to the Stamen Petaloid

Plants ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 135 ◽  
Author(s):  
Zhongyuan Lin ◽  
Meihui Liu ◽  
Rebecca Njeri Damaris ◽  
Tonny Maraga Nyong’a ◽  
Dingding Cao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Bisulfite Sequencing ◽  
Epigenetic Modification ◽  
Nelumbo Nucifera ◽  
Flower Formation ◽  
Relationship Analysis ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

DNA methylation is a vital epigenetic modification. Methylation has a significant effect on the gene expression influencing the regulation of different physiological processes. Current studies on DNA methylation have been conducted on model plants. Lotus (Nelumbo nucifera) is a basic eudicot exhibiting variations during development, especially in flower formation. DNA methylation profiling was conducted on different flower tissues of lotuses through whole genome bisulfite sequencing (WGBS) to investigate the effects of DNA methylation on its stamen petaloid. A map of methylated cytosines at the single base pair resolution for the lotus was constructed. When the stamen was compared with the stamen petaloid, the DNA methylation exhibited a global decrease. Genome-wide relationship analysis between DNA methylation and gene expression identified 31 different methylation region (DMR)-associated genes, which might play crucial roles in floral organ formation, especially in the stamen petaloid. One out of 31 DMR-associated genes, NNU_05638 was homolog with Plant U-box 33 (PUB33). The DNA methylation status of NNU_05638 promoter was distinct in three floral organs, which was confirmed by traditional bisulfite sequencing. These results provide further insights about the regulation of stamen petaloids at the epigenetic level in lotus.

scholarly journals DNA methylation associated with postpartum depressive symptoms overlaps findings from a genome-wide association meta-analysis of depression

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Dana M. Lapato ◽  
Roxann Roberson-Nay ◽  
Robert M. Kirkpatrick ◽  
Bradley T. Webb ◽  
Timothy P. York ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Depressive Symptoms ◽  
Health Outcomes ◽  
Meta Analysis ◽  
Previous History ◽  
Depression Scale ◽  
Postpartum Depressive Symptoms ◽  
Genome Wide ◽  
A Genome ◽  
Genomic Regions

Abstract Background Perinatal depressive symptoms have been linked to adverse maternal and infant health outcomes. The etiology associated with perinatal depressive psychopathology is poorly understood, but accumulating evidence suggests that understanding inter-individual differences in DNA methylation (DNAm) patterning may provide insight regarding the genomic regions salient to the risk liability of perinatal depressive psychopathology. Results Genome-wide DNAm was measured in maternal peripheral blood using the Infinium MethylationEPIC microarray. Ninety-two participants (46% African-American) had DNAm samples that passed all quality control metrics, and all participants were within 7 months of delivery. Linear models were constructed to identify differentially methylated sites and regions, and permutation testing was utilized to assess significance. Differentially methylated regions (DMRs) were defined as genomic regions of consistent DNAm change with at least two probes within 1 kb of each other. Maternal age, current smoking status, estimated cell-type proportions, ancestry-relevant principal components, days since delivery, and chip position served as covariates to adjust for technical and biological factors. Current postpartum depressive symptoms were measured using the Edinburgh Postnatal Depression Scale. Ninety-eight DMRs were significant (false discovery rate < 5%) and overlapped 92 genes. Three of the regions overlap loci from the latest Psychiatric Genomics Consortium meta-analysis of depression. Conclusions Many of the genes identified in this analysis corroborate previous allelic, transcriptomic, and DNAm association results related to depressive phenotypes. Future work should integrate data from multi-omic platforms to understand the functional relevance of these DMRs and refine DNAm association results by limiting phenotypic heterogeneity and clarifying if DNAm differences relate to the timing of onset, severity, duration of perinatal mental health outcomes of the current pregnancy or to previous history of depressive psychopathology.

scholarly journals GENE-27. GENOME-WIDE DNA METHYLATION PROFILING IN GRADE II AND III GLIOMAS REVEALS A SUBSET OF GENES WITH PROGNOSTIC SIGNIFICANCE CONTROLLED BY PROMOTER METHYLATION

2018 ◽  
Vol 20 (suppl_6) ◽  
pp. vi109-vi109
Author(s):  
Wei Meng ◽  
Erica Hlavin Bell ◽  
Rajbir Singh ◽  
Joseph McElroy ◽  
Ilinca Popp ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Promoter Methylation ◽  
Prognostic Significance ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Grade Ii ◽  
Methylation Profiling

scholarly journals Genome‐wide DNA methylation profiling shows molecular heterogeneity of anaplastic pleomorphic xanthoastrocytoma

2019 ◽  
Vol 110 (2) ◽  
pp. 828-832 ◽  
Author(s):  
Taishi Nakamura ◽  
Kohei Fukuoka ◽  
Yoshiko Nakano ◽  
Kai Yamasaki ◽  
Yuko Matsushita ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Pleomorphic Xanthoastrocytoma ◽  
Molecular Heterogeneity ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling
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