scholarly journals Resolution of the DNA methylation state of single CpG dyads using in silico strand annealing and WGBS data

2018 ◽  
Vol 14 (1) ◽  
pp. 202-216
Author(s):  
Chenhuan Xu ◽  
Victor G. Corces
Keyword(s):  
Dna Methylation ◽  
In Silico ◽  
Methylation State ◽  
Strand Annealing

scholarly journals Maternal Protein Restriction Alters the Renal Ptger1 DNA Methylation State in SHRSP Offspring

Nutrients ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1436
Author(s):  
Moe Miyoshi ◽  
Masayuki Sato ◽  
Kenji Saito ◽  
Lila Otani ◽  
Katsuhiko Shirahige ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Spontaneously Hypertensive Rat ◽  
Methylation Status ◽  
Salt Sensitivity ◽  
Protein Restriction ◽  
Na Channel ◽  
Prostaglandin E ◽  
Spontaneously Hypertensive ◽  
Methylation State ◽  
Maternal Protein Restriction

We previously reported that maternal protein restriction (LP) during pregnancy increases salt sensitivity in offspring using the Stroke-Prone Spontaneously Hypertensive Rat (SHRSP). In the present study, we focus on DNA methylation profiles of prostaglandin E receptor 1 gene (ptger1), which is known to be associated with hypertension. We evaluated the ptger1 DNA methylation status via bisulfite sequencing, and analyzed the expression of ptger1-related genes. The results of these analyses showed that, compared to controls, the LP-S offspring exhibited both marked ptger1 hypermethylation, and significantly increased ptger1 expression. Moreover, they also exhibited significantly decreased expression of the downstream gene epithelial Na+ channel alpha (enacα). Interestingly, LP offspring that were provided with a standard water drinking supply (W) also exhibited increased ptger1 methylation and expression. Together, these results suggest that maternal protein restriction during pregnancy modulates the renal ptger1 DNA methylation state in SHRSP offspring, and thereby likely mediates ptger1 and enacα gene expression to induce salt sensitivity.

scholarly journals DeepSignal: detecting DNA methylation state from Nanopore sequencing reads using deep-learning

2019 ◽  
Vol 35 (22) ◽  
pp. 4586-4595 ◽  
Author(s):  
Peng Ni ◽  
Neng Huang ◽  
Zhi Zhang ◽  
De-Peng Wang ◽  
Fan Liang ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Deep Learning ◽  
Bisulfite Sequencing ◽  
Homo Sapiens ◽  
Accurate Method ◽  
Supplementary Information ◽  
Nanopore Sequencing ◽  
Methylation State ◽  
State Prediction ◽  
Genome Level

Abstract Motivation The Oxford Nanopore sequencing enables to directly detect methylation states of bases in DNA from reads without extra laboratory techniques. Novel computational methods are required to improve the accuracy and robustness of DNA methylation state prediction using Nanopore reads. Results In this study, we develop DeepSignal, a deep learning method to detect DNA methylation states from Nanopore sequencing reads. Testing on Nanopore reads of Homo sapiens (H. sapiens), Escherichia coli (E. coli) and pUC19 shows that DeepSignal can achieve higher performance at both read level and genome level on detecting 6 mA and 5mC methylation states comparing to previous hidden Markov model (HMM) based methods. DeepSignal achieves similar performance cross different DNA methylation bases, different DNA methylation motifs and both singleton and mixed DNA CpG. Moreover, DeepSignal requires much lower coverage than those required by HMM and statistics based methods. DeepSignal can achieve 90% above accuracy for detecting 5mC and 6 mA using only 2× coverage of reads. Furthermore, for DNA CpG methylation state prediction, DeepSignal achieves 90% correlation with bisulfite sequencing using just 20× coverage of reads, which is much better than HMM based methods. Especially, DeepSignal can predict methylation states of 5% more DNA CpGs that previously cannot be predicted by bisulfite sequencing. DeepSignal can be a robust and accurate method for detecting methylation states of DNA bases. Availability and implementation DeepSignal is publicly available at https://github.com/bioinfomaticsCSU/deepsignal. Supplementary information Supplementary data are available at bioinformatics online.

scholarly journals In silico APC/C substrate discovery reveals cell cycle degradation of chromatin regulators including UHRF1

2020 ◽  
Author(s):  
Jennifer L. Kernan ◽  
Raquel C. Martinez-Chacin ◽  
Xianxi Wang ◽  
Rochelle L. Tiedemann ◽  
Thomas Bonacci ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Dna Methylation ◽  
In Silico ◽  
Cell Cycle Progression ◽  
Vital Role ◽  
Regulatory Proteins ◽  
Phase Cell ◽  
Cell Physiology ◽  
Cycle Progression ◽  
Chromatin Regulator

AbstractThe Anaphase-Promoting Complex/Cyclosome (APC/C) is an E3 ubiquitin ligase and critical regulator of cell cycle progression. Despite its vital role, it has remained challenging to globally map APC/C substrates. By combining orthogonal features of known substrates, we predicted APC/C substrates in silico. This analysis identified many known substrates and suggested numerous candidates. Unexpectedly, chromatin regulatory proteins are enriched among putative substrates and we show that several chromatin proteins bind APC/C, oscillate during the cell cycle and are degraded following APC/C activation, consistent with being direct APC/C substrates. Additional analysis revealed detailed mechanisms of ubiquitylation for UHRF1, a key chromatin regulator involved in histone ubiquitylation and DNA methylation maintenance. Disrupting UHRF1 degradation at mitotic exit accelerates G1-phase cell cycle progression and perturbs global DNA methylation patterning in the genome. We conclude that APC/C coordinates crosstalk between cell cycle and chromatin regulatory proteins. This has potential consequences in normal cell physiology, where the chromatin environment changes depending on proliferative state, as well as in disease.

scholarly journals The Hi-Culfite assay reveals relationships between chromatin contacts and DNA methylation state

2018 ◽  
Author(s):  
Elena K. Stamenova ◽  
Neva C. Durand ◽  
Olga Dudchenko ◽  
Muhammad S. Shamim ◽  
Su-Chen Huang ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Bisulfite Sequencing ◽  
Open Chromatin ◽  
Whole Genome ◽  
Methylation State ◽  
Whole Genome Bisulfite Sequencing ◽  
Context Sensitive ◽  
Genome Bisulfite Sequencing

AbstractHi-Culfite, a protocol combining Hi-C and whole-genome bisulfite sequencing (WGBS), determines chromatin contacts and DNA methylation simultaneously. Hi-Culfite also reveals relationships that cannot be seen when the two assays are performed separately. For instance, we show that loci associated with open chromatin exhibit context-sensitive methylation: when their spatial neighbors lie in closed chromatin, they are much more likely to be methylated.

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