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  • 1
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    DNMT1-interacting RNAs block gene-specific DNA methylation (2013)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2013-10-11
    Description: DNA methylation was first described almost a century ago; however, the rules governing its establishment and maintenance remain elusive. Here we present data demonstrating that active transcription regulates levels of genomic methylation. We identify a novel RNA arising from the CEBPA gene locus that is critical in regulating the local DNA methylation profile. This RNA binds to DNMT1 and prevents CEBPA gene locus methylation. Deep sequencing of transcripts associated with DNMT1 combined with genome-scale methylation and expression profiling extend the generality of this finding to numerous gene loci. Collectively, these results delineate the nature of DNMT1-RNA interactions and suggest strategies for gene-selective demethylation of therapeutic targets in human diseases.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3870304/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3870304/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Di Ruscio, Annalisa -- Ebralidze, Alexander K -- Benoukraf, Touati -- Amabile, Giovanni -- Goff, Loyal A -- Terragni, Jolyon -- Figueroa, Maria Eugenia -- De Figueiredo Pontes, Lorena Lobo -- Alberich-Jorda, Meritxell -- Zhang, Pu -- Wu, Mengchu -- D'Alo, Francesco -- Melnick, Ari -- Leone, Giuseppe -- Ebralidze, Konstantin K -- Pradhan, Sriharsa -- Rinn, John L -- Tenen, Daniel G -- CA118316/CA/NCI NIH HHS/ -- CA66996/CA/NCI NIH HHS/ -- HL56745/HL/NHLBI NIH HHS/ -- P01 CA066996/CA/NCI NIH HHS/ -- R01 CA118316/CA/NCI NIH HHS/ -- R01 HL056745/HL/NHLBI NIH HHS/ -- R01 HL112719/HL/NHLBI NIH HHS/ -- T32 HL007917-11A1/HL/NHLBI NIH HHS/ -- England -- Nature. 2013 Nov 21;503(7476):371-6. doi: 10.1038/nature12598. Epub 2013 Oct 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Harvard Stem Cell Institute, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Beth Israel Deaconess Medical Center, Boston, Massachusetts 02115, USA [3] Universita Cattolica del Sacro Cuore, Institute of Hematology, L.go A. Gemelli 8, Rome 00168, Italy [4].〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24107992" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; CCAAT-Enhancer-Binding Proteins/*genetics ; Cell Line ; DNA/genetics/metabolism ; DNA (Cytosine-5-)-Methyltransferase/*metabolism ; DNA Methylation/*genetics ; Gene Expression Profiling ; Gene Expression Regulation/*genetics ; Genome, Human/genetics ; Humans ; RNA, Messenger/genetics/metabolism ; RNA, Untranslated/genetics/*metabolism ; RNA-Binding Proteins/metabolism ; Substrate Specificity ; Transcription, Genetic/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 2
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    Methodological aspects of whole-genome bisulfite sequencing analysis (2015)
    Oxford University Press
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    Publication Date: 2015-05-19
    Description: The combination of DNA bisulfite treatment with high-throughput sequencing technologies has enabled investigation of genome-wide DNA methylation beyond CpG sites and CpG islands. These technologies have opened new avenues to understand the interplay between epigenetic events, chromatin plasticity and gene regulation. However, the processing, managing and mining of this huge volume of data require specialized computational tools and statistical methods that are yet to be standardized. Here, we describe a complete bisulfite sequencing analysis workflow, including recently developed programs, highlighting each of the crucial analysis steps required, i.e. sequencing quality control, reads alignment, methylation scoring, methylation heterogeneity assessment, genomic features annotation, data visualization and determination of differentially methylated cytosines. Moreover, we discuss the limitations of these technologies and considerations to perform suitable analyses.
    Print ISSN: 1467-5463
    Electronic ISSN: 1477-4054
    Topics: Biology , Computer Science
    Published by Oxford University Press
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  • 3
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    Pasha: a versatile R package for piling chromatin HTS data (2016)
    Oxford University Press
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    Publication Date: 2016-08-11
    Description: : We describe an R package designed for processing aligned reads from chromatin-oriented high-throughput sequencing experiments. Pasha (preprocessing of aligned sequences from HTS analyses) allows easy manipulation of aligned reads from short-read sequencing technologies (ChIP-seq, FAIRE-seq, MNase-Seq, ...) and offers innovative approaches such as ChIP-seq reads elongation, nucleosome midpoint piling strategy for positioning analyses, or the ability to subset paired-end reads by groups of insert size that can contain biologically relevant information. Availability and implementation: Pasha is a multi-platform R package, available on CRAN repositories under GPL-3 license ( https://cran.r-project.org/web/packages/Pasha/ ). Contacts: rfenouil@gmail.com or jean-christophe.andrau@igmm.cnrs.fr Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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  • 4
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    GBSA: a comprehensive software for analysing whole genome bisulfite sequencing data (2013)
    Oxford University Press
    Details
    Publication Date: 2013-02-20
    Description: High-throughput sequencing is increasingly being used in combination with bisulfite (BS) assays to study DNA methylation at nucleotide resolution. Although several programmes provide genome-wide alignment of BS-treated reads, the resulting information is not readily interpretable and often requires further bioinformatic steps for meaningful analysis. Current post-alignment BS-sequencing programmes are generally focused on the gene-specific level, a restrictive feature when analysis in the non-coding regions, such as enhancers and intergenic microRNAs, is required. Here, we present Genome Bisulfite Sequencing Analyser (GBSA— http://ctrad-csi.nus.edu.sg/gbsa ), a free open-source software capable of analysing whole-genome bisulfite sequencing data with either a gene-centric or gene-independent focus. Through analysis of the largest published data sets to date, we demonstrate GBSA’s features in providing sequencing quality assessment, methylation scoring, functional data management and visualization of genomic methylation at nucleotide resolution. Additionally, we show that GBSA’s output can be easily integrated with other high-throughput sequencing data, such as RNA-Seq or ChIP-seq, to elucidate the role of methylated intergenic regions in gene regulation. In essence, GBSA allows an investigator to explore not only known loci but also all the genomic regions, for which methylation studies could lead to the discovery of new regulatory mechanisms.
    Keywords: Computational Methods, Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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  • 5
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    Methodological aspects of whole-genome bisulfite sequencing analysis (2014)
    Oxford University Press
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    Publication Date: 2014-05-27
    Print ISSN: 1467-5463
    Electronic ISSN: 1477-4054
    Topics: Biology , Computer Science
    Published by Oxford University Press
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