Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiers
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 2832766
Author(s) Wilson, Gareth A; Dhami, Pawandeep; Feber, Andrew; Cortázar, Daniel; Suzuki, Yuka; Schulz, Reiner; Schär, Primo; Beck, Stephan
Author(s) at UniBasel Schär, Primo Leo
Year 2012
Title Resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiers
Journal GigaScience
Volume 1
Number 1
Pages / Article-Number 3
Keywords Methylome, MeDIP-seq, Epigenetics, Epigenomics, DNA methylation, Computational pipeline, MeDUSA
Abstract BACKGROUND: Methylated DNA immunoprecipitation (MeDIP) is a popular enrichment based method and can be combined with sequencing (termed MeDIP-seq) to interrogate the methylation status of cytosines across entire genomes. However, quality control and analysis of MeDIP-seq data have remained to be a challenge. RESULTS: We report genome-wide DNA methylation profiles of wild type (wt) and mutant mouse cells, comprising 3 biological replicates of Thymine DNA glycosylase (Tdg) knockout (KO) embryonic stem cells (ESCs), in vitro differentiated neural precursor cells (NPCs) and embryonic fibroblasts (MEFs). The resulting 18 methylomes were analysed with MeDUSA (Methylated DNA Utility for Sequence Analysis), a novel MeDIP-seq computational analysis pipeline for the identification of differentially methylated regions (DMRs). The observed increase of hypermethylation in MEF promoter-associated CpG islands supports a previously proposed role for Tdg in the protection of regulatory regions from epigenetic silencing. Further analysis of genes and regions associated with the DMRs by gene ontology, pathway, and ChIP analyses revealed further insights into Tdg function, including an association of TDG with low-methylated distal regulatory regions. CONCLUSIONS: We demonstrate that MeDUSA is able to detect both large-scale changes between cells from different stages of differentiation and also small but significant changes between the methylomes of cells that only differ in the KO of a single gene. These changes were validated utilising publicly available datasets and confirm TDG's function in the protection of regulatory regions from epigenetic silencing.
Publisher Biomed Central
ISSN/ISBN 2047-217X (Electronic) 2047-217X (Linking)
URL http://www.ncbi.nlm.nih.gov/pubmed/23587164
edoc-URL http://edoc.unibas.ch/dok/A6338160
Full Text on edoc No
Digital Object Identifier DOI 10.1186/2047-217X-1-3
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/23587164
ISI-Number WOS:000209538800003
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.353 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
01/05/2024