LICR TFBS Track Settings
 
Transcription Factor Binding Sites by ChIP-seq from ENCODE/LICR   (All Expression and Regulation tracks)

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 Cerebellum  CTCF  Signal  Adult 8 weeks  Cerebellum Adult 8 weeks CTCF TFBS ChIP-seq Signal from ENCODE/LICR    Data format   2011-10-19 
 
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 Cerebellum  CTCF  Peaks  Adult 8 weeks  Cerebellum Adult 8 weeks CTCF TFBS ChIP-seq Peaks from ENCODE/LICR    Data format   2011-10-19 
 
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 Cerebellum  Pol2  Signal  Adult 8 weeks  Cerebellum Adult 8 weeks Pol2 TFBS ChIP-seq Signal from ENCODE/LICR    Data format   2011-12-07 
 
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 Cerebellum  Pol2  Peaks  Adult 8 weeks  Cerebellum Adult 8 weeks Pol2 TFBS ChIP-seq Peaks from ENCODE/LICR    Data format   2011-12-07 
 
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 Heart  CTCF  Signal  Adult 8 weeks  Heart Adult 8 weeks CTCF TFBS ChIP-seq Signal from ENCODE/LICR    Data format   2011-08-01 
 
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 Heart  CTCF  Peaks  Adult 8 weeks  Heart Adult 8 weeks CTCF TFBS ChIP-seq Peaks from ENCODE/LICR    Data format   2011-08-01 
 
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 Heart  p300  Signal  Adult 8 weeks  Heart Adult 8 weeks p300 TFBS ChIP-seq Signal from ENCODE/LICR    Data format   2012-02-03 
 
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 Heart  p300  Peaks  Adult 8 weeks  Heart Adult 8 weeks p300 TFBS ChIP-seq Peaks from ENCODE/LICR    Data format   2012-02-03 
 
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 Heart  Pol2  Signal  Adult 8 weeks  Heart Adult 8 weeks Pol2 TFBS ChIP-seq Signal from ENCODE/LICR    Data format   2012-01-13 
 
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 Heart  Pol2  Peaks  Adult 8 weeks  Heart Adult 8 weeks Pol2 TFBS ChIP-seq Peaks from ENCODE/LICR    Data format   2012-01-13 
 
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 Liver  CTCF  Signal  Adult 8 weeks  Liver Adult 8 weeks CTCF TFBS ChIP-seq Signal from ENCODE/LICR    Data format   2012-01-25 
 
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 Liver  CTCF  Peaks  Adult 8 weeks  Liver Adult 8 weeks CTCF TFBS ChIP-seq Peaks from ENCODE/LICR    Data format   2012-01-25 
 
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 Liver  Pol2  Signal  Adult 8 weeks  Liver Adult 8 weeks Pol2 TFBS ChIP-seq Signal from ENCODE/LICR    Data format   2012-01-13 
 
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 Liver  Pol2  Peaks  Adult 8 weeks  Liver Adult 8 weeks Pol2 TFBS ChIP-seq Peaks from ENCODE/LICR    Data format   2012-01-13 
 
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 MEL  CTCF  Signal  Immortal cells  MEL Immortal cells CTCF TFBS ChIP-seq Signal from ENCODE/LICR    Data format   2012-11-29 
 
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 MEL  CTCF  Peaks  Immortal cells  MEL Immortal cells CTCF TFBS ChIP-seq Peaks from ENCODE/LICR    Data format   2012-11-29 
 
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 MEL  Pol2  Signal  Immortal cells  MEL Immortal cells Pol2 TFBS ChIP-seq Signal from ENCODE/LICR    Data format   2012-11-29 
 
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 MEL  Pol2  Peaks  Immortal cells  MEL Immortal cells Pol2 TFBS ChIP-seq Peaks from ENCODE/LICR    Data format   2012-11-29 
     Restriction Policy
Assembly: Mouse July 2007 (NCBI37/mm9)

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

Barski A, Cuddapah S, Cui K, Roh TY, Schones DE, Wang Z, Wei G, Chepelev I, Zhao K. 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.

Heintzman ND, Hon GC, Hawkins RD, Kheradpour P, Stark A, Harp LF, Ye Z, Lee LK, Stuart RK, Ching CW et al. Histone modifications at human enhancers reflect global cell-type-specific gene expression. Nature. 2009 May 7;459(7243):108-12.

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. Cell. 2007 Mar 23;128(6):1231-45.

Kim TH, Barrera LO, Qu C, Van Calcar S, Trinklein ND, Cooper SJ, Luna RM, Glass CK, Rosenfeld MG, Myers RM et al. Direct isolation and identification of promoters in the human genome. Genome Res. 2005 Jun;15(6):830-9.

Krogan NJ, Kim M, Tong A, Golshani A, Cagney G, Canadien V, Richards DP, Beattie BK, Emili A, Boone C et al. Methylation of histone H3 by Set2 in Saccharomyces cerevisiae is linked to transcriptional elongation by RNA polymerase II. Mol Cell Biol. 2003 Jun;23(12):4207-18.

Langmead B, Trapnell C, Pop M, Salzberg SL. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol. 2009;10(3):R25.

Li J, Moazed D, Gygi SP. Association of the histone methyltransferase Set2 with RNA polymerase II plays a role in transcription elongation. J Biol Chem. 2002 Dec 20;277(51):49383-8.

Peters AH, O'Carroll D, Scherthan H, Mechtler K, Sauer S, Schöfer C, Weipoltshammer K, Pagani M, Lachner M, Kohlmaier A et al. Loss of the Suv39h histone methyltransferases impairs mammalian heterochromatin and genome stability. Cell. 2001 Nov 2;107(3):323-37.

Rada-Iglesias A, Bajpai R, Swigut T, Brugmann SA, Flynn RA, Wysocka J. 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. Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing. Nat Methods. 2007 Aug;4(8):651-7.

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. EMBO J. 2002 Mar 1;21(5):1121-31.

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. Nature. 2009 Feb 12;457(7231):854-8.

Data Release Policy

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 the Restricted Until column, above. The full data release policy for ENCODE is available here.