Assay Summary DGF Summary Track Settings
 
Roadmap Epigenome DGF Summary for 21 sample type(s)

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     FB DGF 10 72  Fetal Brain Digital Genomic Footprinting (HOTSPOT_SCORE=0.6871 Pcnt=10)    Data format 
     FH DGF 62 31  Fetal Heart Digital Genomic Footprinting (HOTSPOT_SCORE=0.5269 Pcnt=40)    Data format 
     FL DGF 66 24  Fetal Lung Digital Genomic Footprinting (HOTSPOT_SCORE=0.6416 Pcnt=60)    Data format 
     IMR90 DGF 19  IMR90 Digital Genomic Footprinting (HOTSPOT_SCORE=0.5004 Pcnt=20)    Data format 
     MCD34 DGF 35 74  Mobilized CD34 Primary Cells Digital Genomic Footprinting (HOTSPOT_SCORE=0.6652 Pcnt=80)    Data format 
     HBDM DGF 10  UW H1 BMP4 Derived Mesendoderm Cultured Cells Digital Genomic Footprinting Library DGF.DS19310 EA Release 8    Data format 
     HBDT DGF 17  UW H1 BMP4 Derived Trophoblast Cultured Cells Digital Genomic Footprinting Library DGF.DS19317 EA Release 8    Data format 
     HDMSC DGF 42  UW H1 Derived Mesenchymal Stem Cells Digital Genomic Footprinting Library DGF.DS21042 EA Release 8    Data format 
     iD19.11 DGF 53  UW iPS DF 19.11 Cell Line Digital Genomic Footprinting Library DGF.DS15153 EA Release 8    Data format 
     PFF DGF 01 24  UW Penis Foreskin Fibroblast Primary Cells Digital Genomic Footprinting Donor skin01 Library DGF.DS18224 EA Release 8    Data format 
     Bv DGF 35 06  UW Breast vHMEC Digital Genomic Footprinting Donor RM035 Library DGF.DS18406 EA Release 9    Data format 
     PFM DGF 01 90  UW Penis Foreskin Melanocyte Primary Cells Digital Genomic Footprinting Donor skin01 Library DGF.DS18590 EA Release 9    Data format 
     FIS DGF 69 17  UW Fetal Intestine Small Digital Genomic Footprinting Donor H-23769 Library DGF.DS17317 EA Release 9    Data format 
     FMA DGF 14 65  UW Fetal Muscle Arm Digital Genomic Footprinting Donor H-23914 Library DGF.DS17765 EA Release 9    Data format 
     PFK DGF 01 92  UW Penis Foreskin Keratinocyte Primary Cells Digital Genomic Footprinting Donor skin01 Library DGF.DS18692 EA Release 9    Data format 
     FT DGF 09 41  UW Fetal Thymus Digital Genomic Footprinting Donor H-24409 Library DGF.DS20341 EA Release 9    Data format 
     CD3 DGF 79 98  UW CD3 Primary Cells Digital Genomic Footprinting Donor RO 01679 Library DGF.DS17198 EA Release 9    Data format 
     FIL DGF 69 13  UW Fetal Intestine Large Digital Genomic Footprinting Donor H-23769 Library DGF.DS17313 EA Release 9    Data format 
     CD56 DGF 79 89  UW CD56 Primary Cells Digital Genomic Footprinting Donor RO 01679 Library DGF.DS17189 EA Release 9    Data format 
     CD8 DGF 79 03  UW CD8 Primary Cells Digital Genomic Footprinting Donor RO 01679 Library DGF.DS17203 EA Release 9    Data format 
     CD4 DGF 01 81  UW CD4 Primary Cells Digital Genomic Footprinting Donor RO 01701 Library DGF.DS17881 EA Release 9    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