By Assay smRNA-Seq Track Settings
 
smRNA-Seq tracks for 15 sample type(s)

Track collection: Roadmap data by assay

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Sample Type
Neurosphere Cultured Cells Cortex Derived
Breast Stem Cells
Penis Foreskin Melanocyte Primary Cells
CD8 Naive Primary Cells
Neurosphere Cultured Cells Ganglionic Eminence Derived
Breast vHMEC
Penis Foreskin Fibroblast Primary Cells
Penis Foreskin Keratinocyte Primary Cells
CD4 Memory Primary Cells
Peripheral Blood Mononuclear Primary Cells
Fetal Brain
H1Es
Breast Luminal Epithelial Cells
Brain Germinal Matrix
Breast Myoepithelial Cells
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 Brain Germinal Matrix  HuFGM01  BGM smRNA HuFGM01 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Brain Germinal Matrix  HuFGM02  BGM smRNA HuFGM02 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Breast Luminal Epithelial Cells  RM080  BL smRNA RM080 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Breast Myoepithelial Cells  RM080  BM smRNA RM080 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Breast Stem Cells  RM080  BS smRNA RM080 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Breast vHMEC  RM035  Breast vHMEC smRNA-seq Signal from REMC/UCSF-UBC (DonorID:RM035)    Data format 
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 CD4 Memory Primary Cells  TC014  CD4M smRNA TC014 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 CD8 Naive Primary Cells  TC014  CD8N smRNA TC014 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Fetal Brain  HuFNSC01  FB smRNA HuFNSC01 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Fetal Brain  HuFNSC02  FB smRNA HuFNSC02 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 H1Es  H1EScd1 batch2 vial1  H1 Cell Line smRNA-seq Signal from REMC/UCSF-UBC (DonorID:H1EScd1 batch2 vial1)    Data format 
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 Neurosphere Cultured Cells Cortex Derived  HuFNSC01  NCCCD smRNA HuFNSC01 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Neurosphere Cultured Cells Cortex Derived  HuFNSC02  NCCCD smRNA HuFNSC02 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Neurosphere Cultured Cells Cortex Derived  HuFNSC03  NCCCD smRNA HuFNSC03 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Neurosphere Cultured Cells Ganglionic Eminence Derived  HuFNSC01  N smRNA HuFNSC01 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Neurosphere Cultured Cells Ganglionic Eminence Derived  HuFNSC02  N smRNA HuFNSC02 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Peripheral Blood Mononuclear Primary Cells  TC014  PBMC smRNA TC014 smRNA-seq Signal from REMC/UCSF-UBC    Data format 
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 Penis Foreskin Fibroblast Primary Cells  skin01  UCSF-UBC-USC Penis Foreskin Fibroblast Primary Cells smRNA-Seq Donor skin01 Library M01584 EA Release 6    Data format 
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 Penis Foreskin Keratinocyte Primary Cells  skin01  UCSF-UBC-USC Penis Foreskin Keratinocyte Primary Cells smRNA-Seq Donor skin01 Library M01585 EA Release 6    Data format 
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 Penis Foreskin Melanocyte Primary Cells  skin01  UCSF-UBC-USC Penis Foreskin Melanocyte Primary Cells smRNA-Seq Donor skin01 Library M01583 EA Release 6    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