scholarly journals DNA methylation patterns of candidate genes regulated by thymine DNA glycosylase in patients with TP53 germline mutations

2015 ◽  
Vol 48 (7) ◽  
pp. 610-615 ◽  
Author(s):  
F.P. Fortes ◽  
H. Kuasne ◽  
F.A. Marchi ◽  
P.M. Miranda ◽  
S.R. Rogatto ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Candidate Genes ◽  
Germline Mutations ◽  
Dna Glycosylase ◽  
Thymine Dna Glycosylase ◽  
Methylation Patterns ◽  
Tp53 Germline Mutations

scholarly journals Thymine DNA Glycosylase Gene Knockdown Can Affect the Differentiation of Pig Preadipocytes

2016 ◽  
Vol 39 (3) ◽  
pp. 975-984 ◽  
Author(s):  
Lian-Jiang Zhang ◽  
Si-Yuan Liu ◽  
Ya-Nan Zhu ◽  
Yan Gao ◽  
Jian Chen ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Mrna Expression ◽  
Gene Knockdown ◽  
Expression Level ◽  
Dna Glycosylase ◽  
Peroxisome Proliferator ◽  
Mrna Expression Level ◽  
Promoter Regions ◽  
Fatty Acid Binding ◽  
Thymine Dna Glycosylase

Aims: To study the effect of thymine DNA glycosylase (TDG) gene knockdown on the differentiation of pig preadipocytes. Methods: Preadipocytes were obtained from subcutaneous adipose tissue from the neck of 1- to 7-day-old pigs. The TDG gene was knocked down using siRNA, and cell differentiation was induced. The mRNA expression level was measured using fluorescence quantitative PCR, and the protein expression level was determined using Western blot analysis. The DNA methylation levels in promoter regions of differentiation-related genes were also evaluated. Results: TDG gene knockdown decreased the mRNA expression levels of the peroxisome proliferator-activated receptorγ (PPARγ) and Fatty acid binding proteins 4(FABP4 Also known as aP2) genes (P<0.01), while the mRNA expression level of the CCAAT/enhancer binding protein alpha(C/EBPα) gene did not change significantly (P>0.05). In addition, after induced differentiation, the lipid droplet production significantly decreased, and the percentages of methylation in the promoter regions of C/EBPα, PPARγ, and aP2 genes were 0.9%, 80%, and 76%, respectively. In contrast, the percentages of methylation in the negative control groups were 0.5%, 67.5%, and 58%, respectively. Conclusion: TDG gene knockdown could inhibit the differentiation of pig preadipocytes and affect the DNA methylation levels of some transcription factors.

scholarly journals The DNA Glycosylase/Lyase ROS1 Functions in Pruning DNA Methylation Patterns in Arabidopsis

2007 ◽  
Vol 17 (1) ◽  
pp. 54-59 ◽  
Author(s):  
Jianhua Zhu ◽  
Avnish Kapoor ◽  
Vaniyambadi V. Sridhar ◽  
Fernanda Agius ◽  
Jian-Kang Zhu
Keyword(s):  
Dna Methylation ◽  
Dna Glycosylase ◽  
Methylation Patterns

scholarly journals GENOME-WIDE DNA METHYLATION PATTERNS IN SUICIDE VICTIMS: IDENTIFICATION OF NEW CANDIDATE GENES

2019 ◽  
Vol 31 (4) ◽  
pp. 392-396
Author(s):  
Katarina Kouter ◽  
◽  
Tomaz Zupanc ◽  
Alja Videtic Paska ◽  
◽  
...  
Keyword(s):  
Dna Methylation ◽  
Candidate Genes ◽  
Genome Wide ◽  
Methylation Patterns

scholarly journals Association of Dnmt3a and thymine DNA glycosylase links DNA methylation with base-excision repair

2006 ◽  
Vol 35 (2) ◽  
pp. 390-400 ◽  
Author(s):  
Ya-Qiang Li ◽  
Ping-Zhu Zhou ◽  
Xiu-Dan Zheng ◽  
Colum P. Walsh ◽  
Guo-Liang Xu
Keyword(s):  
Dna Methylation ◽  
Base Excision Repair ◽  
Excision Repair ◽  
Dna Glycosylase ◽  
Thymine Dna Glycosylase ◽  
Base Excision

Examination of the dynamics of global DNA methylation pattern establishment during spermatogenesiss

2007 ◽  
Vol 30 (4) ◽  
pp. 90
Author(s):  
Kirsten Niles ◽  
Sophie La Salle ◽  
Christopher Oakes ◽  
Jacquetta Trasler
Keyword(s):  
Dna Methylation ◽  
Germ Cell ◽  
Germ Cells ◽  
Epigenetic Modification ◽  
Methylation Pattern ◽  
Chromosome 9 ◽  
Specific Gene ◽  
Global Methylation ◽  
Dna Methylation Pattern ◽  
Methylation Patterns

Background: DNA methylation is an epigenetic modification involved in gene expression, genome stability, and genomic imprinting. In the male, methylation patterns are initially erased in primordial germ cells (PGCs) as they enter the gonadal ridge; methylation patterns are then acquired on CpG dinucleotides during gametogenesis. Correct pattern establishment is essential for normal spermatogenesis. To date, the characterization and timing of methylation pattern acquisition in PGCs has been described using a limited number of specific gene loci. This study aimed to describe DNA methylation pattern establishment dynamics during male gametogenesis through global methylation profiling techniques in a mouse model. Methods: Using a chromosome based approach, primers were designed for 24 regions spanning chromosome 9; intergenic, non-repeat, non-CpG island sequences were chosen for study based on previous evidence that these types of sequences are targets for testis-specific methylation events. The percent methylation was determined in each region by quantitative analysis of DNA methylation using real-time PCR (qAMP). The germ cell-specific pattern was determined by comparing methylation between spermatozoa and liver. To examine methylation in developing germ cells, spermatogonia from 2 day- and 6 day-old Oct4-GFP (green fluorescent protein) mice were isolated using fluorescence activated cell sorting. Results: As compared to liver, four loci were hypomethylated and five loci were hypermethylated in spermatozoa, supporting previous results indicating a unique methylation pattern in male germ cells. Only one region was hypomethylated and no regions were hypermethylated in day 6 spermatogonia as compared to mature spermatozoa, signifying that the bulk of DNA methylation is established prior to type A spermatogonia. The methylation in day 2 spermatogonia, germ cells that are just commencing mitosis, revealed differences of 15-20% compared to day 6 spermatogonia at five regions indicating that the most crucial phase of DNA methylation acquisition occurs prenatally. Conclusion: Together, these studies provide further evidence that germ cell methylation patterns differ from those in somatic tissues and suggest that much of methylation at intergenic sites is acquired during prenatal germ cell development. (Supported by CIHR)

scholarly journals DNA methylation patterns identify subgroups of pancreatic neuroendocrine tumors with clinical association

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Vanessa Lakis ◽  
◽  
Rita T. Lawlor ◽  
Felicity Newell ◽  
Ann-Marie Patch ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Neuroendocrine Tumors ◽  
Methylation Profile ◽  
Pancreatic Neuroendocrine Tumors ◽  
Wild Type ◽  
Genomic Information ◽  
Chromosome 11 ◽  
Dna Methylation Profile ◽  
Methylation Patterns ◽  
Recurrent Patterns

AbstractHere we report the DNA methylation profile of 84 sporadic pancreatic neuroendocrine tumors (PanNETs) with associated clinical and genomic information. We identified three subgroups of PanNETs, termed T1, T2 and T3, with distinct patterns of methylation. The T1 subgroup was enriched for functional tumors and ATRX, DAXX and MEN1 wild-type genotypes. The T2 subgroup contained tumors with mutations in ATRX, DAXX and MEN1 and recurrent patterns of chromosomal losses in half of the genome with no association between regions with recurrent loss and methylation levels. T2 tumors were larger and had lower methylation in the MGMT gene body, which showed positive correlation with gene expression. The T3 subgroup harboured mutations in MEN1 with recurrent loss of chromosome 11, was enriched for grade G1 tumors and showed histological parameters associated with better prognosis. Our results suggest a role for methylation in both driving tumorigenesis and potentially stratifying prognosis in PanNETs.

scholarly journals Multi-species and multi-tissue methylation clocks for age estimation in toothed whales and dolphins

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Todd R. Robeck ◽  
Zhe Fei ◽  
Ake T. Lu ◽  
Amin Haghani ◽  
Eve Jourdain ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Age Estimation ◽  
Species Conservation ◽  
Genome Wide ◽  
Epigenetic Aging ◽  
Highly Correlated ◽  
Methylation Patterns ◽  
Cg Dinucleotides ◽  
Free Ranging ◽  
Unique Species

AbstractThe development of a precise blood or skin tissue DNA Epigenetic Aging Clock for Odontocete (OEAC) would solve current age estimation inaccuracies for wild odontocetes. Therefore, we determined genome-wide DNA methylation profiles using a custom array (HorvathMammalMethyl40) across skin and blood samples (n = 446) from known age animals representing nine odontocete species within 4 phylogenetic families to identify age associated CG dinucleotides (CpGs). The top CpGs were used to create a cross-validated OEAC clock which was highly correlated for individuals (r = 0.94) and for unique species (median r = 0.93). Finally, we applied the OEAC for estimating the age and sex of 22 wild Norwegian killer whales. DNA methylation patterns of age associated CpGs are highly conserved across odontocetes. These similarities allowed us to develop an odontocete epigenetic aging clock (OEAC) which can be used for species conservation efforts by provide a mechanism for estimating the age of free ranging odontocetes from either blood or skin samples.

scholarly journals Interplay between Histone and DNA Methylation Seen through Comparative Methylomes in Rare Mendelian Disorders

2021 ◽  
Vol 22 (7) ◽  
pp. 3735
Author(s):  
Guillaume Velasco ◽  
Damien Ulveling ◽  
Sophie Rondeau ◽  
Pauline Marzin ◽  
Motoko Unoki ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Catalytic Domain ◽  
De Novo ◽  
Mutation Screening ◽  
Histone H3 ◽  
Regulatory Elements ◽  
Germline Mutations ◽  
Dna Methyltransferases ◽  
Mendelian Disorders ◽  
Epigenetic Machinery

DNA methylation (DNAme) profiling is used to establish specific biomarkers to improve the diagnosis of patients with inherited neurodevelopmental disorders and to guide mutation screening. In the specific case of mendelian disorders of the epigenetic machinery, it also provides the basis to infer mechanistic aspects with regard to DNAme determinants and interplay between histone and DNAme that apply to humans. Here, we present comparative methylomes from patients with mutations in the de novo DNA methyltransferases DNMT3A and DNMT3B, in their catalytic domain or their N-terminal parts involved in reading histone methylation, or in histone H3 lysine (K) methylases NSD1 or SETD2 (H3 K36) or KMT2D/MLL2 (H3 K4). We provide disease-specific DNAme signatures and document the distinct consequences of mutations in enzymes with very similar or intertwined functions, including at repeated sequences and imprinted loci. We found that KMT2D and SETD2 germline mutations have little impact on DNAme profiles. In contrast, the overlapping DNAme alterations downstream of NSD1 or DNMT3 mutations underlines functional links, more specifically between NSD1 and DNMT3B at heterochromatin regions or DNMT3A at regulatory elements. Together, these data indicate certain discrepancy with the mechanisms described in animal models or the existence of redundant or complementary functions unforeseen in humans.

scholarly journals Aging-associated distinctive DNA methylation changes of LINE-1 retrotransposons in pure cell-free DNA from human blood

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Wardah Mahmood ◽  
Lars Erichsen ◽  
Pauline Ott ◽  
Wolfgang A. Schulz ◽  
Johannes C. Fischer ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cell Free Dna ◽  
The Past ◽  
Free Dna ◽  
Genome Wide ◽  
Cancerous Cell ◽  
Pure Cell ◽  
Epigenetic Biomarker ◽  
Methylation Patterns ◽  
Cancerous Cells

AbstractLINE-1 hypomethylation of cell-free DNA has been described as an epigenetic biomarker of human aging. However, in the past, insufficient differentiation between cellular and cell-free DNA may have confounded analyses of genome-wide methylation levels in aging cells. Here we present a new methodological strategy to properly and unambiguously extract DNA methylation patterns of repetitive, as well as single genetic loci from pure cell-free DNA from peripheral blood. Since this nucleic acid fraction originates mainly in apoptotic, senescent and cancerous cells, this approach allows efficient analysis of aged and cancerous cell-specific DNA methylation patterns for diagnostic and prognostic purposes. Using this methodology, we observe a significant age-associated erosion of LINE-1 methylation in cfDNA suggesting that the threshold of hypomethylation sufficient for relevant LINE-1 activation and consequential harmful retrotransposition might be reached at higher age. We speculate that this process might contribute to making aging the main risk factor for many cancers.

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