scholarly journals MethFlowVM: a virtual machine for the integral analysis of bisulfite sequencing data

2016 ◽  
Author(s):  
Ricardo Lebron ◽  
Guillermo Barturen ◽  
Cristina Gomez-Martin ◽  
Jose L Oliver ◽  
Michael Hackenberg
Keyword(s):  
Dna Methylation ◽  
Virtual Machine ◽  
Genome Stability ◽  
Regulation Of Gene Expression ◽  
Sequencing Data ◽  
Methylation Analysis ◽  
User Friendliness ◽  
Bisulfite Sequencing Data ◽  
Methylation Patterns ◽  
Privacy Issues

The analysis of whole genome DNA methylation patterns is an important first step towards the understanding on how DNA methylation is involved in the regulation of gene expression and genome stability. Previously, we published MethylExtract, a program for DNA methylation profiling and genotyping from the same sample. Over the last years we developed it further into a methylation analysis pipeline that allows to take full advantage of novel genome assembly models. The result is a new pipeline termed MethFlow which permits both, profiling of methylation levels and differential methylation analysis. Frequently DNA methylation research is carried out in the biomedical field, where privacy issues play an important role. Therefore we implemented the pipeline into a virtual machine termed MethFlowVM which shares with a web-server its user-friendliness however, the decisive advantage is that the sequencing data does not leave the user desktop or server and therefore no privacy issues do exist. The virtual machine is available at: http://bioinfo2.ugr.es:8080/MethFlow/

scholarly journals Widespread natural variation of DNA methylation within angiosperms

2016 ◽  
Author(s):  
Chad E. Niederhuth ◽  
Adam J. Bewick ◽  
Lexiang Ji ◽  
Magdy S. Alabady ◽  
Kyung Do Kim ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Life Histories ◽  
Natural Variation ◽  
Gene Body ◽  
Sequencing Data ◽  
Gene Body Methylation ◽  
Genome Bisulfite Sequencing ◽  
Bisulfite Sequencing Data ◽  
Angiosperm Species ◽  
Methylation Patterns

AbstractTo understand the variation in genomic patterning of DNA methylation we compared methylomes of 34 diverse angiosperm species. By analyzing whole-genome bisulfite sequencing data in a phylogenetic context it becomes clear that there is extensive variation throughout angiosperms in gene body DNA methylation, euchromatic silencing of transposons and repeats, as well as silencing of heterochromatic transposons. The Brassicaceae have reduced CHG methylation levels and also reduced or loss of CG gene body methylation. The Poaceae are characterized by a lack or reduction of heterochromatic CHH methylation and enrichment of CHH methylation in genic regions. Reduced CHH methylation levels are found in clonally propagated species, suggesting that these methods of propagation may alter the epigenomic landscape over time. These results show that DNA methylation patterns are broadly a reflection of the evolutionary and life histories of plant species.

scholarly journals Bisulfite sequencing Data Presentation and Compilation (BDPC) web server--a useful tool for DNA methylation analysis

2008 ◽  
Vol 36 (5) ◽  
pp. e34-e34 ◽  
Author(s):  
C. Rohde ◽  
Y. Zhang ◽  
T. P. Jurkowski ◽  
H. Stamerjohanns ◽  
R. Reinhardt ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Bisulfite Sequencing ◽  
Web Server ◽  
Sequencing Data ◽  
Methylation Analysis ◽  
Data Presentation ◽  
Bisulfite Sequencing Data ◽  
Dna Methylation Analysis

scholarly journals Bisulfite sequencing Data Presentation and Compilation (BDPC) web server – a useful tool for DNA methylation analysis

2008 ◽  
Vol 2008 (Spring) ◽  
Author(s):  
Christian Rohde ◽  
Yingying Zhang ◽  
Tomasz P. Jurkowski ◽  
Heinrich Stamerjohanns ◽  
Richard Reinhardt* ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Bisulfite Sequencing ◽  
Web Server ◽  
Sequencing Data ◽  
Methylation Analysis ◽  
Data Presentation ◽  
Bisulfite Sequencing Data ◽  
Dna Methylation Analysis

scholarly journals TET2 coactivates gene expression through demethylation of enhancers

2018 ◽  
Vol 4 (11) ◽  
pp. eaau6986 ◽  
Author(s):  
Lu Wang ◽  
Patrick A. Ozark ◽  
Edwin R. Smith ◽  
Zibo Zhao ◽  
Stacy A. Marshall ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Regulation Of Gene Expression ◽  
Estrogen Receptor Α ◽  
Dna Demethylation ◽  
Estrogen Response ◽  
Dna Base ◽  
Modified Dna ◽  
Global Increase ◽  
Methylation Patterns

The tet methylcytosine dioxygenase 2 (TET2) enzyme catalyzes the conversion of the modified DNA base 5-methylcytosine to 5-hydroxymethylcytosine. TET2 is frequently mutated or dysregulated in multiple human cancers, and loss of TET2 is associated with changes in DNA methylation patterns. Here, using newly developed TET2-specific antibodies and the estrogen response as a model system for studying the regulation of gene expression, we demonstrate that endogenous TET2 occupies active enhancers and facilitates the proper recruitment of estrogen receptor α (ERα). Knockout of TET2 by CRISPR-CAS9 leads to a global increase of DNA methylation at enhancers, resulting in attenuation of the estrogen response. We further identified a positive feedback loop between TET2 and ERα, which further requires MLL3 COMPASS at these enhancers. Together, this study reveals an epigenetic axis coordinating a transcriptional program through enhancer activation via DNA demethylation.

scholarly journals Dynamic DNA Methylation in Plant Growth and Development

2018 ◽  
Vol 19 (7) ◽  
pp. 2144 ◽  
Author(s):  
Arthur Bartels ◽  
Qiang Han ◽  
Pooja Nair ◽  
Liam Stacey ◽  
Hannah Gaynier ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Plant Growth ◽  
Growth And Development ◽  
Genome Stability ◽  
Epigenetic Modification ◽  
Plant Growth And Development ◽  
Complex Dynamic ◽  
Dynamic Changes ◽  
The Common ◽  
Methylation Patterns

DNA methylation is an epigenetic modification required for transposable element (TE) silencing, genome stability, and genomic imprinting. Although DNA methylation has been intensively studied, the dynamic nature of methylation among different species has just begun to be understood. Here we summarize the recent progress in research on the wide variation of DNA methylation in different plants, organs, tissues, and cells; dynamic changes of methylation are also reported during plant growth and development as well as changes in response to environmental stresses. Overall DNA methylation is quite diverse among species, and it occurs in CG, CHG, and CHH (H = A, C, or T) contexts of genes and TEs in angiosperms. Moderately expressed genes are most likely methylated in gene bodies. Methylation levels decrease significantly just upstream of the transcription start site and around transcription termination sites; its levels in the promoter are inversely correlated with the expression of some genes in plants. Methylation can be altered by different environmental stimuli such as pathogens and abiotic stresses. It is likely that methylation existed in the common eukaryotic ancestor before fungi, plants and animals diverged during evolution. In summary, DNA methylation patterns in angiosperms are complex, dynamic, and an integral part of genome diversity after millions of years of evolution.

scholarly journals DNA methylation and gene expression changes derived from assisted reproductive technologies can be decreased by reproductive fluids

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Sebastian Canovas ◽  
Elena Ivanova ◽  
Raquel Romar ◽  
Soledad García-Martínez ◽  
Cristina Soriano-Úbeda ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Assisted Reproductive Technologies ◽  
Reproductive Technologies ◽  
Cell Number ◽  
Rna Seq ◽  
Methylation Analysis ◽  
Number Of Children ◽  
Methylation Patterns

The number of children born since the origin of Assisted Reproductive Technologies (ART) exceeds 5 million. The majority seem healthy, but a higher frequency of defects has been reported among ART-conceived infants, suggesting an epigenetic cost. We report the first whole-genome DNA methylation datasets from single pig blastocysts showing differences between in vivo and in vitro produced embryos. Blastocysts were produced in vitro either without (C-IVF) or in the presence of natural reproductive fluids (Natur-IVF). Natur-IVF embryos were of higher quality than C-IVF in terms of cell number and hatching ability. RNA-Seq and DNA methylation analyses showed that Natur-IVF embryos have expression and methylation patterns closer to in vivo blastocysts. Genes involved in reprogramming, imprinting and development were affected by culture, with fewer aberrations in Natur-IVF embryos. Methylation analysis detected methylated changes in C-IVF, but not in Natur-IVF, at genes whose methylation could be critical, such as IGF2R and NNAT.

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