Description
This track shows a comprehensive survey of cis-regulatory elements
in the mouse genome by using ChIP-seq (Robertson et al., 2007) to identify
transcription factor binding sites (TFBS) and chromatin modification
profiles in various mouse (C57BL/6) tissues, primary cells, and cell lines.
The Ren lab examined RNA polymerase II (PolII),
co-activator protein p300, the insulator protein CTCF, and
the following chromatin modification marks: H3K4me3 and H3K4me1,
H3K27ac, H3K36me3, H3K9me3, and H3K27me3 due to their
demonstrated utilities in identifying promoters, enhancers,
insulator elements, actively transcribed gene bodies, and
silent chromatin regions (Barski et al., 2007; Bernstein et al., 2006; Blow et al., 2010;
Creyghton et al., 2010; Francis et al., 2004; Hawkins et al., 2011; Heintzman et al., 2009; Kim et al., 2007; Kim et al., 2005; Krogan et al., 2003; Li et al., 2002; Peters et al., 2001; Rada-Iglesias et al., 2011; Schotta et al., 2002; Visel et al., 2009).
Enrichment of PolII signals is a strong indicator of
an active promoter and the presence of p300 outside of
promoter regions has been used as a mark for enhancers.
CTCF binding sites are considered as a mark for
potential insulator elements. H3K4me3 is an active mark
for promoters and H3K27ac is an active mark for both promoters
and enhancers. In the absence of H3K4me3, H3K4me1 serves as an
active mark for enhancers. H3K36me3 is normally found in actively
transcribed gene bodies whereas both H3K9me3 and H3K27me3 are common
repressive marks for transcriptionally silent chromatin regions.
For each transcription factor or chromatin mark in each tissue,
ChIP-seq was carried out with at least two biological
replicates. Each experiment produced 20-30 million uniquely-mapped monoclonal tags.
Display Conventions and Configuration
This track is a multi-view composite track that contains multiple data types
(views). For each view, there are multiple subtracks that
display individually on the browser. Instructions for configuring multi-view
tracks are here.
This track contains the following views:
- Peaks
- Regions of signal enrichment based on processed data
(normalized data from pooled replicates). Intensity is represented in
grayscale; darker shading shows higher intensity (a solid vertical line
in the peak region represents the point with the highest signal).
- Signal
- Density graph (wiggle) of signal enrichment based on
processed data.
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
Additional views are available on the Downloads page.
Methods
Cells were grown according to the approved
ENCODE cell culture protocols.
Enrichment and Library Preparation
Chromatin immunoprecipitation was performed according to the Ren Lab ChIP Protocol.
Library construction was performed according to the Ren Lab Library Protocol.
Sequencing and Analysis
Samples were sequenced on Illumina Genome Analyzer II,
Genome Analyzer IIx and HiSeq 2000 platforms
for 36 cycles. Image analysis, base calling and
alignment to the mouse genome version NCBI37/mm9 were performed
using Illumina's RTA and Genome Analyzer Pipeline software.
Alignment to the mouse genome was performed using ELAND or
Bowtie
(Langmead et al., 2009) with
a seed length of 25 and allowing up to two mismatches.
Only the sequences that mapped to one location were used
for further analysis. Of those sequences, clonal reads,
defined as having the same start position on the same
strand, were discarded. BED and wig files were
created using custom perl scripts.
Release Notes
This is Release 3 (August 2012). It contains a total of 58 ChIP-seq experiments on transcription factor binding. In this release, four controls (inputs) were dropped because they did not have accompanying TFBS experiments.
An error surrounding the metadata designation of replicates of the fastq and alignment files of Kidney PolII datasets has been fixed.
Credits
These data were generated and analyzed in
Bing Ren's laboratory
at the Ludwig Institute for Cancer Research (LICR).
Contact: Yin Shen
References
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High-resolution profiling of histone methylations in the human genome.
Cell. 2007 May 18;129(4):823-37.
Bernstein BE, Mikkelsen TS, Xie X, Kamal M, Huebert DJ, Cuff J, Fry B, Meissner A, Wernig M, Plath K et al.
A bivalent chromatin structure marks key developmental genes in embryonic stem cells.
Cell. 2006 Apr 21;125(2):315-26.
Blow MJ, McCulley DJ, Li Z, Zhang T, Akiyama JA, Holt A, Plajzer-Frick I, Shoukry M, Wright C, Chen F et al.
ChIP-Seq identification of weakly conserved heart enhancers.
Nat Genet. 2010 Sep;42(9):806-10.
Creyghton MP, Cheng AW, Welstead GG, Kooistra T, Carey BW, Steine EJ, Hanna J, Lodato MA, Frampton GM, Sharp PA et al.
Histone H3K27ac separates active from poised enhancers and predicts developmental state.
Proc Natl Acad Sci U S A. 2010 Dec 14;107(50):21931-6.
Francis NJ, Kingston RE, Woodcock CL.
Chromatin compaction by a polycomb group protein complex.
Science. 2004 Nov 26;306(5701):1574-7.
Hawkins RD, Hon GC, Yang C, Antosiewicz-Bourget JE, Lee LK, Ngo QM, Klugman S, Ching KA, Edsall LE, Ye Z et al.
Dynamic chromatin states in human ES cells reveal potential regulatory sequences and genes involved in pluripotency.
Cell Res. 2011 Oct;21(10):1393-409.
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Histone modifications at human enhancers reflect global cell-type-specific gene expression.
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Kim TH, Abdullaev ZK, Smith AD, Ching KA, Loukinov DI, Green RD, Zhang MQ, Lobanenkov VV, Ren B.
Analysis of the vertebrate insulator protein CTCF-binding sites in the human genome.
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Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
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A unique chromatin signature uncovers early developmental enhancers in humans.
Nature. 2011 Feb 10;470(7333):279-83.
Robertson G, Hirst M, Bainbridge M, Bilenky M, Zhao Y, Zeng T, Euskirchen G, Bernier B, Varhol R, Delaney A et al.
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Schotta G, Ebert A, Krauss V, Fischer A, Hoffmann J, Rea S, Jenuwein T, Dorn R, Reuter G.
Central role of Drosophila SU(VAR)3-9 in histone H3-K9 methylation and heterochromatic gene silencing.
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Visel A, Blow MJ, Li Z, Zhang T, Akiyama JA, Holt A, Plajzer-Frick I, Shoukry M, Wright C, Chen F et al.
ChIP-seq accurately predicts tissue-specific activity of enhancers.
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Data users may freely use ENCODE data, but may not, without prior
consent, submit publications that use an unpublished ENCODE dataset until
nine months following the release of the dataset. This date is listed in
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