2013
DOI: 10.7554/elife.00348.016
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Author response: Epigenetic conservation at gene regulatory elements revealed by non-methylated DNA profiling in seven vertebrates

Abstract: Two-thirds of gene promoters in mammals are associated with regions of non-methylated DNA, called CpG islands (CGIs), which counteract the repressive effects of DNA methylation on chromatin. In cold-blooded vertebrates, computational CGI predictions often reside away from gene promoters, suggesting a major divergence in gene promoter architecture across vertebrates. By experimentally identifying non-methylated DNA in the genomes of seven diverse vertebrates, we instead reveal that non-methylated islands (NMIs)… Show more

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Cited by 4 publications
(3 citation statements)
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“…The high-throughput data reported in this study have been deposited in GEO under the accession number GEO: GSE132754. Published data used in this study include BioCAP-seq (GEO: GSE43512 (Long et al, 2013)); MAX ChIP-seq (GEO: GSE48175; (Krepelova et al, 2014)); H2AK119ub1, H3K27me3 and RING1B cChIP-seq together with corresponding Inputs in PRC1 CKO ESCs (GEO: GSE119618; (Fursova et al, 2019)); cRNA-seq in Pcgf4 À/À 4;Pcgf2 fl/fl (GEO: GSE119619; (Fursova et al, 2019)); CaptureC in RING1B deg and control cell lines (Rhodes et al, 2019), and 4sU RNA-seq gene expression data for mESCs following RA-induced differentiation (GEO: GSE98756) (Dimitrova et al, 2018). All R and Perl scripts used for data analysis in this study are available upon request.…”
Section: Star+methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The high-throughput data reported in this study have been deposited in GEO under the accession number GEO: GSE132754. Published data used in this study include BioCAP-seq (GEO: GSE43512 (Long et al, 2013)); MAX ChIP-seq (GEO: GSE48175; (Krepelova et al, 2014)); H2AK119ub1, H3K27me3 and RING1B cChIP-seq together with corresponding Inputs in PRC1 CKO ESCs (GEO: GSE119618; (Fursova et al, 2019)); cRNA-seq in Pcgf4 À/À 4;Pcgf2 fl/fl (GEO: GSE119619; (Fursova et al, 2019)); CaptureC in RING1B deg and control cell lines (Rhodes et al, 2019), and 4sU RNA-seq gene expression data for mESCs following RA-induced differentiation (GEO: GSE98756) (Dimitrova et al, 2018). All R and Perl scripts used for data analysis in this study are available upon request.…”
Section: Star+methodsmentioning
confidence: 99%
“…Mouse genes in a custom non-redundant set (n = 20633) that was used for differential gene expression analysis were classified into three groups based on the overlap of their gene promoters with non-methylated CpG islands (NMI), as well as RING1B-and SUZ12bound sites. NMIs (n = 27047) were identified using MACS2 peak calling from BioCAP-seq data (Long et al, 2013) as regions which are enriched with non-methylated CpG-rich DNA. All genes with promoters (TSS ± 2500 bp) not overlapping with NMIs were referred to as non-NMI genes (n = 5326).…”
Section: Annotation Of Polycomb Target Genesmentioning
confidence: 99%
“…DNA methylation is a feature shared by all vertebrates and by many, but not all, non-vertebrate organisms. In vertebrates, up to 90% of all CG dinucleotides, which tend to be interspersed across the genome, are methylated, with the exception of unmethylated islands (Bogdanovi c et al, 2016;Long et al, 2013). These regions are relatively rich in CG dinucleotides, especially in mammals (CpG islands), and often overlap with regulatory sequences (Bogdanovic and Gomez-Skarmeta, 2014).…”
Section: Introductionmentioning
confidence: 99%