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mRNA-Seq tracks for 80 sample type(s)

Track collection: Roadmap data by assay

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Sample Type
H1 BMP4 Derived Mesendoderm Cultured Cells
Right Ventricle
Brain Cerebellum
Breast Luminal Epithelial Cells
Breast Luminal Epithelial Cells
Breast Stem Cells
Spleen
Placenta Basal Plate
Gastric
Placenta Trophoblast Primary Cells
Mobilized CD34 Primary Cells
Adult Liver
Lung
Esophagus
iPS-DF.6.9
Peripheral Blood Mononuclear Primary Cells
Fetal Muscle Trunk
IMR90
Breast Stem Cells
Brain Hippocampus Middle
Fetal Lung Left
Adipose Tissue
Neurosphere Cultured Cells Cortex Derived
Penis Foreskin Fibroblast Primary Cells
H1 BMP4 Derived Trophoblast Cultured Cells
Neurosphere Cultured Cells Cortex Derived
H1Es
Penis Foreskin Fibroblast Primary Cells
CD8 Naive Primary Cells
Neurosphere Cultured Cells Ganglionic Eminence Derived
Aorta
Breast Myoepithelial Cells
Penis Foreskin Keratinocyte Primary Cells
H1-BMP4
Ovary
Fetal Muscle Lower Limb Skeletal
Placenta Chorion Smooth
Fibroblasts Fetal Skin Back
Thymus
Breast Myoepithelial Cells
Left Ventricle
Psoas Muscle
Fibroblasts Fetal Skin Abdomen
Neurosphere Cultured Cells Ganglionic Eminence Derived
Breast vHMEC
Fetal Spinal Cord
hESC Derived CD56+ Mesoderm Cultured Cells
Pancreatic Islets
Pancreas
Sigmoid Colon
Fetal Muscle Upper Limb Skeletal
HUES64
CD4 Naive Primary Cells
iPS-DF.19.11
hESC Derived CD184+ Endoderm Cultured Cells
H1 Derived Neuronal Progenitor Cultured Cells
Fetal Brain
UCSF-4star
Penis Foreskin Melanocyte Primary Cells
Fetal Muscle Leg
Adrenal Gland
Small Intestine
Bladder
CD4 Memory Primary Cells
Right Atrium
hESC Derived CD56+ Ectoderm Cultured Cells
Fetal Ovary
Fetal Muscle Back
Fibroblasts Fetal Skin Scalp
Penis Foreskin Keratinocyte Primary Cells
Placenta Villi
Breast vHMEC
Fetal Lung Right
H1 Derived Neuronal Progenitor Cultured Cells
Penis Foreskin Melanocyte Primary Cells
Fetal Muscle Arm
Placenta Amnion
H1 Derived Mesenchymal Stem Cells
Brain Germinal Matrix
Breast Fibroblast Primary Cells
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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