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Series GSE30263 Query DataSets for GSE30263
Status Public on Jun 29, 2011
Title CTCF Binding Sites by ChIP-seq from ENCODE/University of Washington
Project ENCODE
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary This data was generated by ENCODE. If you have questions about the data, contact the submitting laboratory directly (Richard Sandstrom mailto:[email protected]). If you have questions about the Genome Browser track associated with this data, contact ENCODE (mailto:[email protected]).

This track is produced as part of the ENCODE Project. This track displays maps of genome-wide binding of the CTCF transcription factor in different cell lines using ChIP-seq high-throughput sequencing
For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
 
Overall design Cells were grown according to the approved ENCODE cell culture protocols. Cells were crosslinked with 1% formaldehyde, and the reaction was quenched by the addition of glycine. Fixed cells were rinsed with PBS, lysed in nuclei lysis buffer, and the chromatin was sheared to 200-500 bp fragments using Fisher Dismembrator (model 500). Sheared chromatin fragments were immunoprecipitated with specific polyclonal antibodies at 4 degrees C with gentle rotation. Antibody-chromatin complexes were washed and eluted. The cross linking in immunoprecipitated DNA was reversed and treated with RNase-A. Following proteinase K treatment, the DNA fragments were purified by phenol-chloroform-isoamyl alcohol extraction and ethanol precipitation. 20-50 ng of ChIP DNA was end-repaired, adenine ligated to Illumina adapters was added, and then a Solexa library was made for sequencing.
ChIP-seq affinity is directly reflected in raw tag density (Raw Signal), which is shown in the track as density of tags mapping within a 150 bp sliding window (at a 20 bp step across the genome). ChIP-seq affinity zones (HotSpots) were identified using the HotSpot algorithm described in Sabo et al. (2004). 1.0% false discovery rate thresholds (FDR 0.01) were computed for each cell type by applying the HotSpot algorithm to an equivalent number of random uniquely mapping 36mers. ChIP-seq affinity (Peaks) were identified as signal peaks within FDR 1.0% hypersensitive zones using a peak-finding algorithm.
Web link http://genome.ucsc.edu/cgi-bin/hgTrackUi?db=hg19&g=wgEncodeUwTfbs
 
Contributor(s) Sandstrom R
Citation(s) 22955980, 26502339
BioProject PRJNA63447
Submission date Jun 28, 2011
Last update date Mar 24, 2020
Contact name ENCODE DCC
E-mail(s) [email protected]
Organization name ENCODE DCC
Street address 300 Pasteur Dr
City Stanford
State/province CA
ZIP/Postal code 94305-5120
Country USA
 
Platforms (2)
GPL9052 Illumina Genome Analyzer (Homo sapiens)
GPL9115 Illumina Genome Analyzer II (Homo sapiens)
Samples (174)
GSM749665 Stam_HMF_CTCF_1
GSM749666 Stam_AoAF_CTCF_1
GSM749667 Stam_SK-N-SH_RA_CTCF_2
Relations
SRA SRP007362

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE30263_RAW.tar 100.8 Gb (http)(custom) TAR (of BAM, BIGWIG, BROADPEAK, NARROWPEAK)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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