Assay Summary MeDIP-Seq Summary Track Settings
 
Roadmap Epigenome MeDIP-Seq Summary for 19 sample type(s)

Track collection: Assay Summary

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     FB MeDIP 66 98  UCSF-UBC-USC Fetal Brain MeDIP-Seq Donor H-23266 Library A02298 EA Release 6    Data format 
     FB MeDIP 84 99  UCSF-UBC-USC Fetal Brain MeDIP-Seq Donor H-23284 Library A02299 EA Release 6    Data format 
     H1 MeDIP 76  H1 Cell Line DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.3687 Pcnt=62 Library:HS1376)    Data format 
     H1 MeDIP 03  H1 Cell Line DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.3021 Pcnt=37 Library:JOC13)    Data format 
     CD8N MeDIP 07  CD8 Naive Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.4017 Pcnt=75 DonorID:TC007)    Data format 
     BLEC MeDIP 35  Breast Luminal Epithelial Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.4531 Pcnt=87 DonorID:RM035)    Data format 
     BMC MeDIP 35  Breast Myoepithelial Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.4554 Pcnt=91 DonorID:RM035)    Data format 
     BLEC MeDIP 66  Breast Luminal Epithelial Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.291 Pcnt=33 DonorID:RM066)    Data format 
     CD4N MeDIP 03  CD4 Naive Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.2893 Pcnt=29 DonorID:TC003)    Data format 
     BSC MeDIP 35  Breast Stem Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.4841 Pcnt=100 DonorID:RM035)    Data format 
     PBM MeDIP 07  Peripheral Blood Mononuclear Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.0094 Pcnt=30 DonorID:TC007)    Data format 
     CD4M MeDIP 07  CD4 Memory Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.3391 Pcnt=50 DonorID:TC007)    Data format 
     BMC MeDIP 66  Breast Myoepithelial Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.1854 Pcnt=8 DonorID:RM066)    Data format 
     CD4N MeDIP 07  CD4 Naive Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.4174 Pcnt=83 DonorID:TC007)    Data format 
     BSC MeDIP 70  Breast Stem Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.3101 Pcnt=41 DonorID:RM070)    Data format 
     Bv MeDIP 35  Breast vHMEC DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.4648 Pcnt=95 DonorID:RM035)    Data format 
     BSC MeDIP 71  Breast Stem Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.2697 Pcnt=25 DonorID:RM071)    Data format 
     PBM MeDIP 03  Peripheral Blood Mononuclear Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.3758 Pcnt=66 DonorID:TC003)    Data format 
     BLEC MeDIP 37  Breast Luminal Epithelial Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.2494 Pcnt=16 DonorID:RM037)    Data format 
     CD4M MeDIP 03  CD4 Memory Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.201 Pcnt=12 DonorID:TC003)    Data format 
     BMC MeDIP 70  Breast Myoepithelial Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.3369 Pcnt=45 DonorID:RM070)    Data format 
     BLEC MeDIP 70  Breast Luminal Epithelial Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.2634 Pcnt=20 DonorID:RM070)    Data format 
     CD8N MeDIP 03  CD8 Naive Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.3667 Pcnt=58 DonorID:TC003)    Data format 
     BSC MeDIP 66  Breast Stem Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.1738 Pcnt=4 DonorID:RM066)    Data format 
     CD4M MeDIP 09  CD4 Memory Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.2001 Pcnt=30 )    Data format 
     NGED MeDIP 01  Neurosphere Cultured Cells Ganglionic Eminence Derived DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.2684 Pcnt=60 )    Data format 
     NGED MeDIP 02  Neurosphere Cultured Cells Ganglionic Eminence Derived DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.3672 Pcnt=80 )    Data format 
     NCD MeDIP 01  Neurosphere Cultured Cells Cortex Derived DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.2301 Pcnt=40 )    Data format 
     NCD MeDIP 02  Neurosphere Cultured Cells Cortex Derived DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.3754 Pcnt=90 )    Data format 
     PBM MeDIP 09  Peripheral Blood Mononuclear Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.2531 Pcnt=50 )    Data format 
     CD4N MeDIP 09  CD4 Naive Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.1658 Pcnt=20 )    Data format 
     CD8N MeDIP 09  CD8 Naive Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.1546 Pcnt=10 )    Data format 
     FB MeDIP 01  Fetal Brain DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.3262 Pcnt=70 )    Data format 
     FB MeDIP 02  Fetal Brain DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (Hotspot_Score=0.4244 Pcnt=100 )    Data format 
     BGM MeDIP 02  Brain Germinal Matrix DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (HOTSPOT_SCORE=0.1612 Pcnt=20)    Data format 
     FB MeDIP 10  Fetal Brain DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (HOTSPOT_SCORE=0.2919 Pcnt=40)    Data format 
     PFF MeDIP 01  Penis Foreskin Fibroblast Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (HOTSPOT_SCORE=0.4579 Pcnt=80)    Data format 
     PFK MeDIP 01  Penis Foreskin Keratinocyte Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (HOTSPOT_SCORE=0.4702 Pcnt=10)    Data format 
     PFM MeDIP 01  Penis Foreskin Melanocyte Primary Cells DNA Methylation by MeDIP-seq Signal from REMC/UCSF-UBC (HOTSPOT_SCORE=0.4446 Pcnt=60)    Data format 
     PFF MeDIP 02 91  UCSF-UBC-USC Penis Foreskin Fibroblast Primary Cells MeDIP-Seq Donor skin02 Library A09691 EA Release 7    Data format 
     PFK MeDIP 02 92  UCSF-UBC-USC Penis Foreskin Keratinocyte Primary Cells MeDIP-Seq Donor skin02 Library A09692 EA Release 7    Data format 
     PFM MeDIP 02 93  UCSF-UBC-USC Penis Foreskin Melanocyte Primary Cells MeDIP-Seq Donor skin02 Library A09693 EA Release 7    Data format 
     PFF MeDIP 03 00  UCSF-UBC-USC Penis Foreskin Fibroblast Primary Cells MeDIP-Seq Donor skin03 Library A14100 EA Release 8    Data format 
     PFK MeDIP 03 01  UCSF-UBC-USC Penis Foreskin Keratinocyte Primary Cells MeDIP-Seq Donor skin03 Library A14101 EA Release 8    Data format 
     PFM MeDIP 03 02  UCSF-UBC-USC Penis Foreskin Melanocyte Primary Cells MeDIP-Seq Donor skin03 Library A14102 EA Release 8    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 maps on epigenetic marks surveyed by Roadmap Epigenomics Project. Each track is about one type of epigenetic mark, and contains multiple experiments assayed for that mark type. DNA methylation and histone modification are two types of most important epigenetic marks.

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. .

Histone marks are critical epigenetic components. They are covalent modifications of amino acid residues of histone proteins, which modify protein's biochemical property and affect transcription and chromatin state. The histone marks are measured by ChIP-Seq experiments (chromatin immunoprecipitation followed by sequencing).

Display conventions

Each track can be turned on/off individually. Inside each track, sub-tracks are displayed in same vertical space and are overlayed with transparent colors for contrast. All tracks 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. Sub-tracks sharing same space use same scale.

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 ChIP-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 this type of ChIP-Seq experiments (e.g., all H3K4me3 ChIP-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 is combination of Release II, III, IV, V, VI, VII, VIII and IX which were mapped to human reference genome version hg19. The data is production of Roadmap Epigenomics Project.

Please follow the link for Roadmap Epigenomics data access policy

Credits

These data were generated in labs from participating institutions of Roadmap Epigenomics Project.

Useful links