scholarly journals CloudASM: an ultra-efficient cloud-based pipeline for mapping allele-specific DNA methylation

2020 ◽  
Author(s):  
Emmanuel LP Dumont ◽  
Benjamin Tycko ◽  
Catherine Do
Keyword(s):  
Dna Methylation ◽  
Cloud Computing ◽  
Data Warehouse ◽  
Time Complexity ◽  
Cpg Methylation ◽  
Supplementary Information ◽  
Link Type ◽  
Genome Wide ◽  
Allele Specific ◽  
Enterprise Data Warehouse

AbstractSummaryMethods for quantifying the imbalance in CpG methylation between alleles genome-wide have been described but their algorithmic time complexity is quadratic and their practical use requires painstaking attention to infrastructure choice, implementation, and execution. To solve this problem, we developed CloudASM, a scalable, ultra-efficient, turn-key, portable pipeline on Google Cloud Computing (GCP) that uses a novel pipeline manager and GCP’s serverless enterprise data warehouse.Availability and ImplementationCloudASM is freely available in the GitHub repository https://github.com/TyckoLab/CloudASM and a sample dataset and its results are also freely available at https://console.cloud.google.com/storage/browser/[email protected] informationNone.

scholarly journals CloudASM: an ultra-efficient cloud-based pipeline for mapping allele-specific DNA methylation

2020 ◽  
Vol 36 (11) ◽  
pp. 3558-3560
Author(s):  
Emmanuel L P Dumont ◽  
Benjamin Tycko ◽  
Catherine Do
Keyword(s):  
Dna Methylation ◽  
Data Warehouse ◽  
Time Complexity ◽  
Cpg Methylation ◽  
Cloud Platform ◽  
Genome Wide ◽  
Allele Specific ◽  
Enterprise Data Warehouse

Abstract Summary Methods for quantifying the imbalance in CpG methylation between alleles genome-wide have been described but their algorithmic time complexity is quadratic and their practical use requires painstaking attention to infrastructure choice, implementation and execution. To solve this problem, we developed CloudASM, a scalable, ultra-efficient, turn-key, portable pipeline on Google Cloud Platform (GCP) that uses a novel pipeline manager and GCP’s serverless enterprise data warehouse. Availability and implementation CloudASM is freely available in the GitHub repository https://github.com/TyckoLab/CloudASM and a sample dataset and its results are also freely available at https://console.cloud.google.com/storage/browser/cloudasm. Contact [email protected]

scholarly journals CpGmotifs: a tool to discover DNA motifs associated to CpG methylation events

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Giovanni Scala ◽  
Antonio Federico ◽  
Dario Greco
Keyword(s):  
Dna Methylation ◽  
Motif Discovery ◽  
Cpg Methylation ◽  
Functional Interpretation ◽  
Dna Motifs ◽  
Molecular Alterations ◽  
Link Type ◽  
Dna Motif ◽  
Quantitative Manner ◽  
Dna Motif Discovery

Abstract Background The investigation of molecular alterations associated with the conservation and variation of DNA methylation in eukaryotes is gaining interest in the biomedical research community. Among the different determinants of methylation stability, the DNA composition of the CpG surrounding regions has been shown to have a crucial role in the maintenance and establishment of methylation statuses. This aspect has been previously characterized in a quantitative manner by inspecting the nucleotidic composition in the region. Research in this field still lacks a qualitative perspective, linked to the identification of certain sequences (or DNA motifs) related to particular DNA methylation phenomena. Results Here we present a novel computational strategy based on short DNA motif discovery in order to characterize sequence patterns related to aberrant CpG methylation events. We provide our framework as a user-friendly, shiny-based application, CpGmotifs, to easily retrieve and characterize DNA patterns related to CpG methylation in the human genome. Our tool supports the functional interpretation of deregulated methylation events by predicting transcription factors binding sites (TFBS) encompassing the identified motifs. Conclusions CpGmotifs is an open source software. Its source code is available on GitHub https://github.com/Greco-Lab/CpGmotifs and a ready-to-use docker image is provided on DockerHub at https://hub.docker.com/r/grecolab/cpgmotifs.

scholarly journals Intergenerational epigenetic inheritance in reef-building corals

2018 ◽  
Author(s):  
Yi Jin Liew ◽  
Emily J. Howells ◽  
Xin Wang ◽  
Craig T. Michell ◽  
John A. Burt ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Intergenerational Transmission ◽  
Epigenetic Inheritance ◽  
Cpg Methylation ◽  
Epigenetic Mechanisms ◽  
Transgenerational Inheritance ◽  
Genome Wide ◽  
Methylation Patterns ◽  
Hypermethylated Genes

MainThe notion that intergenerational or transgenerational inheritance operates solely through genetic means is slowly being eroded: epigenetic mechanisms have been shown to induce heritable changes in gene activity in plants1,2and metazoans1,3. Inheritance of DNA methylation provides a potential pathway for environmentally induced phenotypes to contribute to evolution of species and populations1–4. However, in basal metazoans, it is unknown whether inheritance of CpG methylation patterns occurs across the genome (as in plants) or as rare exceptions (as in mammals)4. Here, we demonstrate genome-wide intergenerational transmission of CpG methylation patterns from parents to sperm and larvae in a reef-building coral. We also show variation in hypermethylated genes in corals from distinct environments, indicative of responses to variations in temperature and salinity. These findings support a role of DNA methylation in the transgenerational inheritance of traits in corals, which may extend to enhancing their capacity to adapt to climate change.

scholarly journals Genome-Wide DNA Methylation Analysis during Osteogenic Differentiation of Human Bone Marrow Mesenchymal Stem Cells

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Yangyang Cao ◽  
Haoqing Yang ◽  
Luyuan Jin ◽  
Juan Du ◽  
Zhipeng Fan
Keyword(s):  
Dna Methylation ◽  
Stem Cells ◽  
Bone Marrow ◽  
Mesenchymal Stem Cells ◽  
Osteogenic Differentiation ◽  
Biological Process ◽  
Cpg Methylation ◽  
Genome Wide ◽  
Marrow Mesenchymal Stem Cells ◽  
Go Terms

Bone marrow mesenchymal stem cells (BMSCs) nowadays are regarded as promising candidates in cell-based therapy for the regeneration of damaged bone tissues that are either incurable or intractable due to the insufficiency of current therapies. Recent studies suggest that BMSCs differentiate into osteoblasts, and that this differentiation is regulated by some specific patterns of epigenetic modifications, such as DNA methylation. However, the potential role of DNA methylation modification in BMSC osteogenic differentiation is unclear. In this study, we performed a genome-wide study of DNA methylation between the noninduced and induced osteogenic differentiation of BMSCs at day 7. We found that the majority of cytosines in a CpG context were methylated in induced BMSCs. Our results also revealed that, along with the induced osteogenic differentiation in BMSCs, the average genomic methylation levels and CpG methylation in transcriptional factor regions (TFs) were increased, the CpG methylation level of various genomic elements was mainly in the medium-high methylation section, and CpG methylation levels in the repeat element had highly methylated levels. The GO analysis of differentially methylated region- (DMR-) associated genes (DMGs) showed that GO terms, including cytoskeletal protein binding (included in Molecular Function GO terms), skeletal development (included in Biological Process GO terms), mesenchymal cell differentiation (included in Biological Process GO terms), and stem cell differentiation (included in Biological Process), were enriched in the hypermethylated DMGs. Then, the KEGG analysis results showed that the WNT pathway, inositol phosphate metabolism pathway, and cocaine addiction pathway were more correlative with the DMRs during the induced osteogenic differentiation in BMSCs. In conclusion, this study revealed the difference of methylated levels during the noninduced and induced osteogenic differentiation of BMSCs and provided useful information for future works to characterize the important function of epigenetic mechanisms on BMSCs’ differentiation.

The COP9 signalosome influences the epigenetic landscape of Arabidopsis thaliana

2018 ◽  
Vol 35 (16) ◽  
pp. 2718-2723 ◽  
Author(s):  
Tamir Tuller ◽  
Alon Diament ◽  
Avital Yahalom ◽  
Assaf Zemach ◽  
Shimshi Atar ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Arabidopsis Thaliana ◽  
Gene Expression Regulation ◽  
Developmental Pathways ◽  
Cop9 Signalosome ◽  
Supplementary Information ◽  
Loss Of Function ◽  
Genome Wide ◽  
High Level

Abstract Motivation The COP9 signalosome is a highly conserved multi-protein complex consisting of eight subunits, which influences key developmental pathways through its regulation of protein stability and transcription. In Arabidopsis thaliana, mutations in the COP9 signalosome exhibit a number of diverse pleiotropic phenotypes. Total or partial loss of COP9 signalosome function in Arabidopsis leads to misregulation of a number of genes involved in DNA methylation, suggesting that part of the pleiotropic phenotype is due to global effects on DNA methylation. Results We determined and analyzed the methylomes and transcriptomes of both partial- and total-loss-of-function Arabidopsis mutants of the COP9 signalosome. Our results support the hypothesis that the COP9 signalosome has a global genome-wide effect on methylation and that this effect is at least partially encoded in the DNA. Our analyses suggest that COP9 signalosome-dependent methylation is related to gene expression regulation in various ways. Differentially methylated regions tend to be closer in the 3D conformation of the genome to differentially expressed genes. These results suggest that the COP9 signalosome has a more comprehensive effect on gene expression than thought before, and this is partially related to regulation of methylation. The high level of COP9 signalosome conservation among eukaryotes may also suggest that COP9 signalosome regulates methylation not only in plants but also in other eukaryotes, including humans. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Genome-Wide DNA Methylation Analysis in Melanoma Reveals the Importance of CpG Methylation in MITF Regulation

2015 ◽  
Vol 135 (7) ◽  
pp. 1820-1828 ◽  
Author(s):  
Martin Lauss ◽  
Rizwan Haq ◽  
Helena Cirenajwis ◽  
Bengt Phung ◽  
Katja Harbst ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cpg Methylation ◽  
Methylation Analysis ◽  
Genome Wide ◽  
Dna Methylation Analysis

scholarly journals Genome-wide regulation of CpG methylation by ecCEBPα in acute myeloid leukemia

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 204
Author(s):  
Adewale J. Ogunleye ◽  
Ekaterina Romanova ◽  
Yulia A. Medvedeva
Keyword(s):  
Dna Methylation ◽  
Acute Myeloid Leukemia ◽  
Myeloid Leukemia ◽  
Cpg Methylation ◽  
The Cancer Genome Atlas ◽  
Binding Potential ◽  
Hematopoietic Malignancy ◽  
Genome Wide ◽  
A Genome ◽  
Acute Myeloid

Background: Acute myeloid leukemia (AML) is a hematopoietic malignancy characterized by genetic and epigenetic aberrations that alter the differentiation capacity of myeloid progenitor cells. The transcription factor CEBPα is frequently mutated in AML patients leading to an increase in DNA methylation in many genomic locations. Previously, it has been shown that ecCEBPα (extra coding CEBPα) - a lncRNA transcribed in the same direction as CEBPα gene - regulates DNA methylation of CEBPα promoter in cis. Here, we hypothesize that ecCEBPα could participate in the regulation of DNA methylation in trans. Method: First, we retrieved the methylation profile of AML patients with mutated CEBPα locus from The Cancer Genome Atlas (TCGA). We then predicted the ecCEBPα secondary structure in order to check the potential of ecCEBPα to form triplexes around CpG loci and checked if triplex formation influenced CpG methylation, genome-wide. Results: Using DNA methylation profiles of AML patients with a mutated CEBPα locus, we show that ecCEBPα could interact with DNA by forming DNA:RNA triple helices and protect regions near its binding sites from global DNA methylation. Further analysis revealed that triplex-forming oligonucleotides in ecCEBPα are structurally unpaired supporting the DNA-binding potential of these regions. ecCEBPα triplexes supported with the RNA-chromatin co-localization data are located in the promoters of leukemia-linked transcriptional factors such as MLF2. Discussion: Overall, these results suggest a novel regulatory mechanism for ecCEBPα as a genome-wide epigenetic modulator through triple-helix formation which may provide a foundation for sequence-specific engineering of RNA for regulating methylation of specific genes.

scholarly journals Genome-wide regulation of CpG methylation by ecCEBPα in acute myeloid leukemia

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 204
Author(s):  
Adewale J. Ogunleye ◽  
Ekaterina Romanova ◽  
Yulia A. Medvedeva
Keyword(s):  
Dna Methylation ◽  
Acute Myeloid Leukemia ◽  
Myeloid Leukemia ◽  
Cpg Methylation ◽  
The Cancer Genome Atlas ◽  
Binding Potential ◽  
Hematopoietic Malignancy ◽  
Genome Wide ◽  
A Genome ◽  
Acute Myeloid

Background: Acute myeloid leukemia (AML) is a hematopoietic malignancy characterized by genetic and epigenetic aberrations that alter the differentiation capacity of myeloid progenitor cells. The transcription factor CEBPα is frequently mutated in AML patients leading to an increase in DNA methylation in many genomic locations. Previously, it has been shown that ecCEBPα (extra coding CEBPα) - a lncRNA transcribed in the same direction as CEBPα gene - regulates DNA methylation of CEBPα promoter in cis. Here, we hypothesize that ecCEBPα could participate in the regulation of DNA methylation in trans. Method: First, we retrieved the methylation profile of AML patients with mutated CEBPα locus from The Cancer Genome Atlas (TCGA). We then predicted the ecCEBPα secondary structure in order to check the potential of ecCEBPα to form triplexes around CpG loci and checked if triplex formation influenced CpG methylation, genome-wide. Results: Using DNA methylation profiles of AML patients with a mutated CEBPα locus, we show that ecCEBPα could interact with DNA by forming DNA:RNA triple helices and protect regions near its binding sites from global DNA methylation. Further analysis revealed that triplex-forming oligonucleotides in ecCEBPα are structurally unpaired supporting the DNA-binding potential of these regions. ecCEBPα triplexes supported with the RNA-chromatin co-localization data are located in the promoters of leukemia-linked transcriptional factors such as MLF2. Discussion: Overall, these results suggest a novel regulatory mechanism for ecCEBPα as a genome-wide epigenetic modulator through triple-helix formation which may provide a foundation for sequence-specific engineering of RNA for regulating methylation of specific genes.

scholarly journals pyseer: a comprehensive tool for microbial pangenome-wide association studies

2018 ◽  
Author(s):  
John A Lees ◽  
Marco Galardini ◽  
Stephen D Bentley ◽  
Jeffrey N Weiser ◽  
Jukka Corander
Keyword(s):  
Input Data ◽  
Association Studies ◽  
Genome Wide Association ◽  
Supplementary Information ◽  
Genome Wide Association Studies ◽  
Supplementary Data ◽  
New Methods ◽  
Link Type ◽  
Genome Wide

AbstractSummaryGenome-wide association studies (GWAS) in microbes face different challenges to eukaryotes and have been addressed by a number of different methods. pyseer brings these techniques together in one package tailored to microbial GWAS, allows greater flexibility of the input data used, and adds new methods to interpret the association results.Availability and Implementationpyseer is written in python and is freely available at https://github.com/mgalardini/pyseer, or can be installed through pip. Documentation and a tutorial are available at http://[email protected] and [email protected] informationSupplementary data are available online.

scholarly journals gwasurvivr: an R package for genome wide survival analysis

2018 ◽  
Author(s):  
Abbas A Rizvi ◽  
Ezgi Karaesmen ◽  
Martin Morgan ◽  
Leah Preus ◽  
Junke Wang ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Cox Model ◽  
R Package ◽  
Supplementary Information ◽  
Parameter Estimates ◽  
Survival Analyses ◽  
Link Type ◽  
Genome Wide ◽  
Size Number ◽  
Simple Interface

ABSTRACTSummaryTo address the limited software options for performing survival analyses with millions of SNPs, we developed gwasurvivr, an R/Bioconductor package with a simple interface for conducting genome wide survival analyses using VCF (outputted from Michigan or Sanger imputation servers), IMPUTE2 or PLINK files. To decrease the number of iterations needed for convergence when optimizing the parameter estimates in the Cox model we modified the R package survival; covariates in the model are first fit without the SNP, and those parameter estimates are used as initial points. We benchmarked gwasurvivr with other software capable of conducting genome wide survival analysis (genipe, SurvivalGWAS_SV, and GWASTools). gwasurvivr is significantly faster and shows better scalability as sample size, number of SNPs and number of covariates increases.Availability and implementationgwasurvivr, including source code, documentation, and vignette are available at: http://bioconductor.org/packages/gwasurvivrContactAbbas Rizvi, [email protected]; Lara E Sucheston-Campbell, [email protected] information: Supplementary data are available at https://github.com/suchestoncampbelllab/gwasurvivr_manuscript

Sign in / Sign up

Export Citation Format

Share Document