Comparing the whole genome methylation landscape of dairy calf blood cells revealed intergenerational inheritance of the maternal metabolism

Epigenetics ◽  
2021 ◽  
pp. 1-10
Author(s):  
Ying Zhang ◽  
Catherine Chaput ◽  
Eric Fournier ◽  
Julien Prunier ◽  
Marc-André Sirard
2020 ◽  
Vol 32 (7) ◽  
pp. 676
Author(s):  
Ya-Han Zhao ◽  
Jing-Jing Wang ◽  
Pei-Pei Zhang ◽  
Hai-Sheng Hao ◽  
Yun-Wei Pang ◽  
...  

To explore the mechanisms leading to the poor quality of IVF blastocysts, the single-cell whole-genome methylation sequencing technique was used in this study to analyse the methylation patterns of bovine blastocysts derived from invivo, fresh (IVF) or vitrified (V_IVF) oocytes. Genome methylation levels of blastocysts in the IVF and V_IVF groups were significantly lower than those of the invivo group (P<0.05). In all, 1149 differentially methylated regions (DMRs) were identified between the IVF and invivo groups, 1578 DMRs were identified between the V_IVF and invivo groups and 151 DMRs were identified between the V_IVF and IVF groups. For imprinted genes, methylation levels of insulin-like growth factor 2 receptor (IGF2R) and protein phosphatase 1 regulatory subunit 9A (PPP1R9A) were lower in the IVF and V_IVF groups than in the invivo group, and the methylation level of paternally expressed 3 (PEG3) was lower in the V_IVF group than in the IVF and invivo groups. Genes with DMRs between the IVF and invivo and the V_IVF and IVF groups were primarily enriched in oocyte maturation pathways, whereas DMRs between the V_IVF and invivo groups were enriched in fertilisation and vitrification-vulnerable pathways. The results of this study indicate that differences in the methylation of critical DMRs may contribute to the differences in quality between invitro- and invivo-derived embryos.


2013 ◽  
Vol 231 (4) ◽  
pp. 543-543
Author(s):  
Andrew D Beggs ◽  
Angela Jones ◽  
Mona El-Bahrawy ◽  
Muti Abuladfi ◽  
Shirley V Hodgson ◽  
...  

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 595-595 ◽  
Author(s):  
Li Zhou ◽  
Joanna B. Opalinska ◽  
Davendra P. Sohal ◽  
Yongkai Mo ◽  
Suman Kambhampati ◽  
...  

Abstract Myelodysplasia (MDS) is a clonal hematopoietic disorder that leads to ineffective hematopoiesis and peripheral cytopenias. DNMT inhibitors such as azacytidine have led to clinical responses in patients, though global epigenetic alterations in MDS have not been well described. The transmission of these epigenetic marks during hematopoietic differentiation and their role in disease pathophysiology is also unknown. We first compared global methylation profiles of 8 bone marrow samples with peripheral leucocytes by using a recently described novel method, the HELP assay (HpaII tiny fragment Enrichment by Ligation-mediated PCR; Khulan et al, Genome Res. 2006 Aug;16(8)) that uses differential methylation-specific digestion by HpaII and MspI followed by amplification, two color labeling and hybridization to quantitatively determine individual promoter CpG island methylation. A whole genome human promoter array (Nimblegen) was used to determine the level of methylation of 25626 gene promoters by calculating HpaII/MspI cut fragment intensity ratio. We observed a high correlation (r=0.89–0.96) of epigenetic marks between bone marrow and peripheral blood samples suggesting that a majority of epigenetic marks can be also be seen in differentiated cells. We subsequently compared peripheral blood leucocytes from 20 patients with MDS with 10 age-matched normal and anemic controls. Parallel gene expression analysis was performed using 37K oligo maskless arrays on cDNA from the same samples. Analysis showed that whole genome methylation profiling has greater discriminatory power in separating clusters of MDS samples from normal and anemic controls when compared to gene expression analysis. Epigenetic profiling demonstrated two clusters of MDS based on similarity of aberrant epigenetic changes. Overall, there was a trend towards hypermethylation in MDS, albeit not statistically significant given the large number of relatively unchanged genes. Detailed analysis revealed several novel differentially methylated genes that had corresponding changes in gene expression, when MDS samples were compared to the controls with a low false discovery rate of analysis. Interesting genes getting hypomethylated and overexpressed included TNF superfamily member 9, granulocyte pep A, microsomal glutathione S-transferase, homeo box B4, mitochondrial RPL11, and others. Similarly, the set of genes that were getting hypermethylated with associated decrease in gene expression included Evi-1, DAPK, HOXB3, Protein Phosphatase 1, CEBPB, mutated in colorectal cancer (MCC), myeloid-lymphoid or mixed-lineage leukemia 5 (MLL5), plasminogen-related protein B, ovarian cancer related protein 1 (ORP1), and others. In addition, we did array-based comparative genome hybridization (aCGH) to look at exact genome copy number changes in these samples. We found changes that were not detectable by conventional karyotyping in all samples. Commonly seen alterations were del(14q11), del(20q11), del(5q13), del(8p23), amp(1q42), amp(5q11), amp(17q12), amp(19q13) and amp(7q22). Integrative analysis revealed sets of genes that were either silenced by methylation or deletion in different patients. Thus, our data demonstrates that promoter DNA methylation changes are an important phenomenon in MDS evolution, and are associated with changes in expression of genes playing important roles in cancer development and/or progression. We also show that previously unrecognizable changes in copy number exist in most patients with MDS. In addition, our work shows that whole genome methylation assays, even when done on peripheral blood leukocytes, can be used for potential biomarker studies in the diagnosis of MDS.


2017 ◽  
Vol 41 (S1) ◽  
pp. S102-S102 ◽  
Author(s):  
N. Ramoz ◽  
S. Guillaume ◽  
P. Courtet ◽  
P. Gorwood

IntroductionAnorexia nervosa (AN) is a severe psychiatric disorder. The epigenetic regulations are strongly suggested in AN. We and other groups have performed a whole-genome methylation study (methylome) in AN. We found that the differentially methylated CpG sites are located around genes involved in biological processes in link with embryonic morphogenesis, brain development and its plasticity, in particular adhesion and axon guidance. Here, we study an independent group of 40 AN patients. Furthermore, we have done a follow-up during more than one year, to compare the methylation profiles in subjects that evolve to the remission.ObjectivesOur work is to replicate the methylome study in an independent AN cohort and to characterize profiles of methylation at two times for the same subjects to compare the AN patients that convert to remitters.AimsOur goal is to identify diagnostic and prognostic epigenetic signatures for AN.MethodsOf the 40 AN patients, 18 evolved to remission. Furthermore, the blood samples of the subjects from the 2 times will be investigated, like this, each subject is its own control. Methylation of DNA is measured by using the Infinium HumanMethylation450 BeadChip technology.ResultsComparisons of AN to controls showed similar profiles of methylation involving the same biological processes as previously identified. We are comparing now the difference of methylation between the 18 remitters and the 18 actual AN, taking into account of the two times of samples.ConclusionsWe expect to characterize specific methylation signature of the prognostic of the AN remission.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2011 ◽  
Vol 28 (10) ◽  
pp. 852-861 ◽  
Author(s):  
Yong Zhu ◽  
Richard G. Stevens ◽  
Aaron E. Hoffman ◽  
Anne Tjonneland ◽  
Ulla B. Vogel ◽  
...  

F1000Research ◽  
2014 ◽  
Vol 2 ◽  
pp. 217 ◽  
Author(s):  
Guillermo Barturen ◽  
Antonio Rueda ◽  
José L. Oliver ◽  
Michael Hackenberg

Whole genome methylation profiling at a single cytosine resolution is now feasible due to the advent of high-throughput sequencing techniques together with bisulfite treatment of the DNA. To obtain the methylation value of each individual cytosine, the bisulfite-treated sequence reads are first aligned to a reference genome, and then the profiling of the methylation levels is done from the alignments. A huge effort has been made to quickly and correctly align the reads and many different algorithms and programs to do this have been created. However, the second step is just as crucial and non-trivial, but much less attention has been paid to the final inference of the methylation states. Important error sources do exist, such as sequencing errors, bisulfite failure, clonal reads, and single nucleotide variants.We developed MethylExtract, a user friendly tool to: i) generate high quality, whole genome methylation maps and ii) detect sequence variation within the same sample preparation. The program is implemented into a single script and takes into account all major error sources. MethylExtract detects variation (SNVs – Single Nucleotide Variants) in a similar way to VarScan, a very sensitive method extensively used in SNV and genotype calling based on non-bisulfite-treated reads. The usefulness of MethylExtract is shown by means of extensive benchmarking based on artificial bisulfite-treated reads and a comparison to a recently published method, called Bis-SNP.MethylExtract is able to detect SNVs within High-Throughput Sequencing experiments of bisulfite treated DNA at the same time as it generates high quality methylation maps. This simultaneous detection of DNA methylation and sequence variation is crucial for many downstream analyses, for example when deciphering the impact of SNVs on differential methylation. An exclusive feature of MethylExtract, in comparison with existing software, is the possibility to assess the bisulfite failure in a statistical way. The source code, tutorial and artificial bisulfite datasets are available at http://bioinfo2.ugr.es/MethylExtract/ and http://sourceforge.net/projects/methylextract/, and also permanently accessible from 10.5281/zenodo.7144.


2014 ◽  
Author(s):  
Hellen Kuasne ◽  
Ilce Mara de Syllos Colus ◽  
Hector Hernandez-Vargas ◽  
Ariane Fernanda Busso-Lopes ◽  
Mateus C. Barros-Filho ◽  
...  

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