Characterization of Methylation Patterns in Cancer and Non-Cancer cfDNA, An Observational Multicenter Study

Author(s):  
Heart Rhythm ◽  
2021 ◽  
Vol 18 (8) ◽  
pp. S380
Author(s):  
Thomas M. Roston ◽  
Mohamed A. Fouda ◽  
Mohammad-Reza Ghovanloo ◽  
Joseph Atallah ◽  
Quentin Plumereau ◽  
...  

2015 ◽  
Author(s):  
Jessica Alexander ◽  
Ryan Drennan ◽  
Ann Meyer ◽  
Jessica Xu ◽  
Matthew L. Poulin ◽  
...  

2016 ◽  
Vol 48 (4) ◽  
pp. 279-289 ◽  
Author(s):  
Fernando Traverso ◽  
Alejandra Blanco ◽  
Pilar Villalón ◽  
Noelia Beratz ◽  
Juan Antonio Sáez Nieto ◽  
...  

2012 ◽  
Vol 98 (3) ◽  
pp. S143
Author(s):  
M.A. Ribeiro ◽  
M.B. dos Reis ◽  
F.D. Oliveira ◽  
C. Briton-Jones ◽  
C.A. Rainho ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Zhen Wei ◽  
Subbarayalu Panneerdoss ◽  
Santosh Timilsina ◽  
Jingting Zhu ◽  
Tabrez A. Mohammad ◽  
...  

Background. Compared with the well-studied 5-methylcytosine (m5C) in DNA, the role and topology of epitranscriptome m5C remain insufficiently characterized. Results. Through analyzing transcriptome-wide m5C distribution in human and mouse, we show that the m5C modification is significantly enriched at 5′ untranslated regions (5′UTRs) of mRNA in human and mouse. With a comparative analysis of the mRNA and DNA methylome, we demonstrate that, like DNA methylation, transcriptome m5C methylation exhibits a strong clustering effect. Surprisingly, an inverse correlation between mRNA and DNA m5C methylation is observed at CpG sites. Further analysis reveals that RNA m5C methylation level is positively correlated with both RNA expression and RNA half-life. We also observed that the methylation level of mitochondrial RNAs is significantly higher than RNAs transcribed from the nuclear genome. Conclusions. This study provides an in-depth topological characterization of transcriptome-wide m5C modification by associating RNA m5C methylation patterns with transcriptional expression, DNA methylations, RNA stabilities, and mitochondrial genome.


2016 ◽  
Vol 32 ◽  
pp. 8
Author(s):  
E. Cagni ◽  
S. Russo ◽  
S. Bresciani ◽  
V. Bruzzaniti ◽  
M. Esposito ◽  
...  

1997 ◽  
Vol 10 (3) ◽  
pp. 192-197 ◽  
Author(s):  
E. Ferrazzi ◽  
G. Zanetta ◽  
D. Dordoni ◽  
N. Berlanda ◽  
R. Mezzopane ◽  
...  

2020 ◽  
Author(s):  
Linfeng Gao ◽  
Max Emperle ◽  
Yiran Guo ◽  
Sara A Grimm ◽  
Wendan Ren ◽  
...  

AbstractMammalian DNA methylation patterns are established by two de novo DNA methyltransferases DNMT3A and DNMT3B, which exhibit both redundant and distinctive methylation activities. However, the related molecular basis remains undetermined. Through comprehensive structural, enzymology and cellular characterization of DNMT3A and DNMT3B, we here report a multi-layered substrate-recognition mechanism underpinning their divergent genomic methylation activities. A hydrogen bond in the catalytic loop of DNMT3B causes a lower CpG specificity than DNMT3A, while the interplay of target recognition domain and homodimeric interface fine-tunes the distinct target selection between the two enzymes, with Lysine 777 of DNMT3B acting as a unique sensor of the +1 flanking base. The divergent substrate preference between DNMT3A and DNMT3B provides an explanation for site-specific epigenomic alterations seen in ICF syndrome with DNMT3B mutations. Together, this study reveals crucial and distinctive substrate-readout mechanisms of the two DNMT3 enzymes, implicative of their differential roles during development and pathogenesis.


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