DNA Methylation Track Settings
 
DNA Methylation from REMC

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Brain Germinal Matrix 
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 MeDIP-Seq  Brain Germinal Matrix  HuFGM02  Brain Germinal Matrix DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (HOTSPOT_SCORE=0.1612 Pcnt=20)    Data format 
 
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 RRBS  CD15 Primary Cells  9  CD15 Primary Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  CD3 Primary Cells  64  CD3 Primary Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Colon Smooth Muscle  Donor  Colon Smooth Muscle DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 MeDIP-Seq  Fetal Brain  H22510  Fetal Brain DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (HOTSPOT_SCORE=0.2919 Pcnt=40)    Data format 
 
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 MRE-Seq  Fetal Brain  H22510  Fetal Brain DNA Methylation by MRE-seq Signal from REMC/UCSF-UBC    Data format 
 
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 RRBS  Fetal Brain  H-22510  Fetal Brain DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Fetal Brain  H-23284  Fetal Brain DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Fetal Heart  H-22727  Fetal Heart DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Fetal Kidney  H-22676  Fetal Kidney DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Fetal Lung  H-22727  Fetal Lung DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Fetal Lung  H-23266  Fetal Lung DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 Bisulfite-Seq  H9 Cell line  methylC-seq h9 r2a  H9 DNA Methylation by Bisulfite-Seq Signal from REMC/UCSD    Data format 
 
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 RRBS  hESC Derived CD184 Endoderm Cultured Cells  RRBS1201  hESC Derived CD184 Endoderm Cultured Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  hESC Derived CD184 Endoderm Cultured Cells  RRBS1202  hESC Derived CD184 Endoderm Cultured Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  H9 Derived Neuron Cultured Cells  RRBS1088  H9 Derived Neuron Cultured Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  H9 Derived Neuron Cultured Cells  RRBS1089  H9 Derived Neuron Cultured Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 Bisulfite-Seq  iPS-DF.19.11  methylC-seq ff ips 19 11 r2b  iPS-DF.19.11 DNA Methylation by Bisulfite-Seq Signal from REMC/UCSD    Data format 
 
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 RRBS  Mobiled CD34  RO-01508  Mobilized CD34 Primary Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Mobiled CD34  RO-01517  Mobilized CD34 Primary Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Mobiled CD34  RO-01520  Mobilized CD34 Primary Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Mobiled CD34  RO-01536  Mobilized CD34 Primary Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Mobiled CD34  RO-01549  Mobilized CD34 Primary Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Mobiled CD34  RO-01562  Mobilized CD34 Primary Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 RRBS  Mobiled CD34  RO-01480  Mobilized CD34 Primary Cells DNA Methylation by RRBS Signal from REMC/Broad    Data format 
 
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 MeDIP-Seq  Penis Foreskin Fibroblast Primary Cells  skin01  Penis Foreskin Fibroblast Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (HOTSPOT_SCORE=0.4579 Pcnt=80)    Data format 
 
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 MRE-Seq  Penis Foreskin Fibroblast Primary Cells  skin01  Penis Foreskin Fibroblast Primary Cells DNA Methylation by MRE-seq Signal from REMC/UCSF-UBC    Data format 
 
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 MeDIP-Seq  Penis Foreskin Keratinocyte Primary Cells  skin01  Penis Foreskin Keratinocyte Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (HOTSPOT_SCORE=0.4702 Pcnt=10)    Data format 
 
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 MRE-Seq  Penis Foreskin Keratinocyte Primary Cells  skin01  Penis Foreskin Keratinocyte Primary Cells DNA Methylation by MRE-seq Signal from REMC/UCSF-UBC    Data format 
 
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 MeDIP-Seq  Penis Foreskin Melanocyte Primary Cells  skin01  Penis Foreskin Melanocyte Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (HOTSPOT_SCORE=0.4446 Pcnt=60)    Data format 
 
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 MRE-Seq  Penis Foreskin Melanocyte Primary Cells  skin01  Penis Foreskin Melanocyte Primary Cells DNA Methylation by MRE-seq Signal from REMC/UCSF-UBC    Data format 
 
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 RRBS  Stomach Mucosa  157  Stomach Mucosa DNA Methylation by RRBS Signal from REMC/Broad    Data format 
    
Assembly: Human Feb. 2009 (GRCh37/hg19)

Vizhub @ Wash U built this track, and Roadmap Epigenomics Consortium is responsible for its contents.

Description

These tracks are genome-wide DNA methylation maps generated by Roadmap Epigenomics Project. Each track is collection of DNA methylation experiment data on one sample type.

DNA methylation of human DNA mostly happens on cytosine bases of CpG dinucleotides. The methylated DNA usually prevent accessibility of regulatory proteins and hampers transcription, while unmethylated DNA is usually indicative of open chromatin. The MeDIP-Seq and MRE-Seq experiments are usually performed on same sample to identify genome-wide DNA methylation pattern. MeDIP-Seq (methylated DNA immunoprecipitation and sequencing) is a ChIP-based approach utilizing antibody against methylated cytosine. This method enriches methylated DNA and high read count indicates high likelihood of underlying region is methylated. The MRE-Seq (methylation restriction enzyme sequencing) uses methylation-sensitive restriction enzymes to digest DNA, and only cut at unmethylated restriction sites. The cut restriction sites will be detected by sequencing where reads aligned to a restriction site on reference genome means the restriction site is unmethylated.

The MethylC-Seq (MethylC sequencing) uses bisulfite to convert methylated cytosines to thymines before sequencing. The percentage of reads with a T versus a C indicates the percentage methylation at the cytosine. Details can be found in this paper Lister R, et al., Nature. 2009 Nov 19;462(7271):315-22. .

RRBS (Reduced-Representation-Bisulfite-Sequencing) is similar to MethylC-seq except RRBS uses restriction enzyme to fragment the genome into fragments suitably-sized for sequencing. While RRBS produces percent methylation similar to MethylC-seq, it is limited to cytosines that are within restriction fragments of a suitable size and then tend to measure CpG dense regions only. Details can be found in this paper: Meissener, A. et al., Nucleic Acids Res. 2005; 33(18): 5868-5877. .

Display conventions

This track displays read density data in form of wiggle plots. Number of aligned reads is counted at each base pair, and a summarized value is computed for each 20 bp interval for display. Different y-axis range applies to each experiment types (MeDIP-Seq, MRE-Seq, MethylC-Seq) and can be controled in each view type.

The subtracks can be displayed and configured individually. See instructions .

Methods

Experimental protocols: follow this link for experimental protocols.

Data processing: EDACC carried out data processing and quality assessment. Details are fully explained here . In brief, sequencing reads were aligned with 'Pash' program to derive read density data. The read density data is prepared into 'wiggle' format files with fixed step length of 20 bp. Data in wiggle and other formats have been deposited in NCBI Gene Expression Omnibus database for public access.

Quality control: the HotSpot was one of the methods used to assess quality of MeDIP-Seq experiments. The long track name includes a "Hotspot_Score" field indicates the percentage of sequencing reads found inside hotspot regions. The "Pcnt" field shows the percentile of current experiment score in all MeDIP-Seq experiments. This value is subject to change in next Data Release. The most comprehensive and up-to-date description on QC Metrics used by the consortium can be found here .

Release Notes

The data were mapped to human reference genome version hg19 as part of Release IV (07/11/2011) of Roadmap Epigenomics Project.

Please follow the link for Roadmap Epigenomics data access policy

Credits

These data were generated in labs from three institutions: UCSF, UBC, UCSD as part of Roadmap Epigenomics Project.

Useful links