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Description:Explore detailed annotation of differentially methylated regions (DMRs) in prostate cancer with DMineR. Discover DMRs of interest through browsing the DMR list and selecting from various DMR classes....
Keywords:DMineR, prostate cancer, differentially methylated regions, DMR list, DMR annotation, methylation analysis, cancer research....
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DMineR https://dminer.lerner.ccf.org/ |
DMR List https://dminer.lerner.ccf.org/dmrlist |
Date: Tue, 14 May 2024 20:04:11 GMT |
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Toggle navigation : Prostate Cancer Home DMR ListDetailed annotation of differentially methylated regions (DMRs) in prostate cancer. View DMR list » How to Use : Prostate Cancer There are three ways to find DMRs of interest: (1) Browse the DMR list by clicking on "DMR List" and then select a sub-set from the "DMR Classes" list on the left. Note that "Frequent 001" corresponds to "High Grade DMRs" and "Frequent 011" corresponds to "Shared DMRs" in the manuscript. (2) Enter a gene symbol in the search box on the top right to see all DMRs for which it is the nearest gene. And, (3) Enter a "dmrid" number from the DMR list published in the manuscript in the search box on the top right to directly view an exact DMR. Each DMR has a profile page that can be viewed by clicking on the "Full Report" link from the DMR List. This page aggregates a variety of useful primary data, metadata, and linked data that we have found invaluable for interpreting the genomic and functional contexts of DMRs: The "Region count Boxplot" and "Region Overview" display the read counts from our primary DNA methylation sequencing data, which was obtained from the genome-wide technique MBD-isolated Genome Sequencing (MiGS) . Next, "Gene Overlaps" displays all UCSC knownGene transcripts that overlap with the DMR. The "Feature Overlaps" shows ChIP-seq peaks and DNaseI hypersensitive sites from ENCODE that overlap with the DMR. Under "Omics Overlaps" a variety of data from other experiments is aggregated, as indicated by the "Omic Set" column. This includes gene expression and methylation microarray data from The Cancer Genome Atlas PRAD cohort . It also includes our own data (Ting Lab, Cleveland Clinic) from RNA-seq and MiGS data for a few prostate cancer cell lines. For frequent 001 DMRs that overlap with genes, there is also a link to PubMed queries that look for previous publications about the function of the gene relating to cancer. Example DMRs Shared DMR in PCDHGA11 and a cluster of PCDHG genes Two high grade DMRs, and an "other" shared DMR in the gene body of CD14 An intergenic high grade DMR that overlaps with an ENCODE DNaseI site, ENCODE ChIP-seq sites (including EZH2, SUZ12, and CTCF), and a CpG island About the Data Please see our manuscript (in preparation) for more information. Please cite this paper if or our primary data is useful to your work. Author Jeff Bhasin[email protected]Ting Lab Cleveland Clinic Genomic Medicine Institute Molecular Medicine PhD Program View details »About DNA Methylation Review Article (open access) about the cancer epigenome View details »Acknowledgments Bootstrap (theme) Django (web framework) Python R (data analysis) methyaction (DMR detection) goldmine (genomic context analysis) Gene, genomic context, and ENCODE data sets were obtained from data tables available from the UCSC Genome Browser: http://genome.ucsc.edu/ Methylation microarray and RNA-seq results shown for comparison with the TCGA PRAD cohort here are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/ . MiGS Data for Prostate Cell Lines PrEC, LNCaP, and DU145 performed by the Ting Lab and available from SRA Under the Following Accessions: SRX118020 , SRX118021 , and SRX118022 . Our RNA-seq data for these cell lines is unpublished. MiGS Data for the clinical prostate cancer cohort described in the manuscript has been deposited in GEO under accession: GSE66505 . View details »© Company...
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