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Series GSE38629 Query DataSets for GSE38629
Status Public on May 20, 2014
Title H3K27me3 in four squamous cell carcinoma cell lines
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary ChIP-Seq for H3K27 trimethylation was performed for two HPV-positive and two HPV-negative squamous cell carcinoma cell lines. The data served two purposes. First, the data were used as an example implementation of our novel ChIP-Seq Peak Prioritization pipeline, PePr. We have developed the PePr pipeline, a ChIP-Seq Peak Prioritization pipeline that accounts for the variation among replicates and peak location relative to a gene. We show, using a transcription factor dataset (which exhibited small variation among samples), that PePr performs favorably compared to commonly used peak callers and that it achieves balanced sensitivity and specificity. We also show, using histone modification data (which exhibited larger variation among samples), that PePr can improve the detection of differential H3K27me3 regions compared with a common current approach. Using data from ChIP-Seq and gene expression experiments performed in parallel on the same samples, we show that the incorporation of functional annotations can improve the prioritization of functional sites. Secondly, the data were used to assess real differences in the genome-wide H3K27me3 profiles between HPV-positive and HPV-negative carcinoma cell lines. Careful analysis and integration of the data with DNA methylation and gene expression data performed on the same cell lines demonstrated striking differences exist.
 
Overall design ChIP-Seq for H3K27 trimethylation was performed for two HPV-positive and two HPV-negative squamous cell carcinoma (SCC) cell lines. Input DNA was also sequenced for each sample to serve as a control. The goal was to determine overall differences in H3K27me3 patterns observed between the HPV-positive and HPV-negative SCC cell lines.
 
Contributor(s) Sartor MA, Lin Y, Zhang Y, Rozek LS
Citation(s) 24894502
Submission date Jun 11, 2012
Last update date May 15, 2019
Contact name Maureen A Sartor
E-mail(s) sartorma@med.umich.edu
Organization name University of Michigan
Department Department of Computational Medicine and Bioinformatics
Lab Sartor
Street address 2017 Palmer Commons Bldg., 100 Washtenaw Ave
City Ann Arbor
State/province MI
ZIP/Postal code 48109-2218
Country USA
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (8)
GSM946486 H3K27me3_UM-SCC-47
GSM946487 H3K27me3_Caski
GSM946488 H3K27me3_UM-SCC-4
Relations
BioProject PRJNA168296
SRA SRP013640

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
GSE38629_RAW.tar 9.5 Gb (http)(custom) TAR (of BED)
GSE38629_peaks.txt.gz 96.8 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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