2019
DOI: 10.1038/s41598-019-44597-2
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NOMePlot: analysis of DNA methylation and nucleosome occupancy at the single molecule

Abstract: Recent technical advances highlight that to understand mammalian development and human disease we need to consider transcriptional and epigenetic cell-to-cell differences within cell populations. This is particularly important in key areas of biomedicine like stem cell differentiation and intratumor heterogeneity. The recently developed nucleosome occupancy and methylome (NOMe) assay facilitates the simultaneous study of DNA methylation and nucleosome positioning on the same DNA strand. NOMe-treated DNA can be… Show more

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Cited by 5 publications
(7 citation statements)
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“…Nuclei extraction and M.CviPI treatment were performed as described previously 90 . Briefly, isolated nuclei were incubated with 200 U of M.CviPI (NEB, M0227L) for 15 min at 37 °C.…”
Section: Methodsmentioning
confidence: 99%
“…Nuclei extraction and M.CviPI treatment were performed as described previously 90 . Briefly, isolated nuclei were incubated with 200 U of M.CviPI (NEB, M0227L) for 15 min at 37 °C.…”
Section: Methodsmentioning
confidence: 99%
“…Line plots, also commonly used to visualize methylation and accessibility status [e.g. as implemented in the aaRon R package ( Statham et al , 2015 ) or the NOMePlot software( Requena et al , 2019 )] either present the status of a single molecule at a time or of a moving population average of statuses across all molecules (Supplementary Fig. S6).…”
Section: Resultsmentioning
confidence: 99%
“…Previously developed methods utilize the output from Bismark but are limited to a relatively small number of reads or provide summary plots rather than site-level data ( Huang et al , 2018 ; Wong et al , 2016 ). Two other such visualization tools are the NOMePlot ( Requena et al , 2019 ) and MethylViewer ( Pardo et al , 2011 ) applications, which were designed to simultaneously visualize CG methylation/GC accessibility patterns. Despite their integrated pipelines, the commonly used ‘lollipop’ plots are not intuitive in highlighting the joint occupancy and methylation states along a continuous DNA strand, especially when considering hundreds or thousands of molecules.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, the PCR product were cloned into the pGEM-T vector (Promega) and sequenced with M13 reverse primer. NOMe-PCR data was analysed with the NOMePlot web app tool (http://www.landeiralab.ugr.es/soſtware) 94 .…”
Section: Nome-pcrmentioning
confidence: 99%