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Status |
Public on Jun 05, 2014 |
Title |
PR-ChIP-seq |
Sample type |
SRA |
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Source name |
T47D cells
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Organism |
Homo sapiens |
Characteristics |
cell line: T47D cell type: breast cancer cell line passages: 5-8 chip antibody: PR chip antibody catalog #: sc-7208 chip antibody manufacturer: Santa Cruz
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Treatment protocol |
R5020 (progestin) or EtOH
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Growth protocol |
RPMI+10% fetal calf serum
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Extracted molecule |
genomic DNA |
Extraction protocol |
Trizol extraction for RNA and ChIPs with an antibody against the progesterone receptor for immunoprecipitated DNA RNA and DNA libraries were prepared for sequencing using standard Illumina protocols
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Library strategy |
ChIP-Seq |
Library source |
genomic |
Library selection |
ChIP |
Instrument model |
Illumina Genome Analyzer |
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Data processing |
Illumina Casava1.7 software used for basecalling. For ChIP-seq data, reads were trimmed for adaptor sequence, and masked for low-complexity or low-quality sequence, then mapped to hg19 whole genome using bowtie v1.1.2 with default parameters For RNA-seq data, reads reads were trimmed for adaptor sequence, and masked for low-complexity or low-quality sequence, then mapped to Refseq database using TopHat with own junction and gene annotation model For ChIP-seq data, SAM tools were used for filtering uniquely mapped, paired end reads. MACS was used for peak calling with default parameters. For RNA-seq data the Cufflinks suite was used for transcript annotation Genome_build: hg19 Supplementary_files_format_and_content: For ChIP-seq data BED files were generated with the genomic coordinates for PR binding sites. Supplementary_files_format_and_content: For RNA-seq data, txt files were generated with FPKM values for all transcripts
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Submission date |
Oct 18, 2013 |
Last update date |
May 15, 2019 |
Contact name |
Angeliki Magklara |
E-mail(s) |
amagklara@gmail.com
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Organization name |
University of Ioannina
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Department |
Medicine
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Lab |
Clinical Chemistry
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Street address |
University Campus
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City |
Ioannina |
ZIP/Postal code |
45221 |
Country |
Greece |
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Platform ID |
GPL9052 |
Series (1) |
GSE51428 |
Transcriptomic profiling reveals new aspects of progestin signaling in breast cancer |
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Relations |
BioSample |
SAMN02378270 |
SRA |
SRX365497 |
Supplementary file |
Size |
Download |
File type/resource |
GSM1245253_PR_binding_sites.txt.gz |
153.7 Kb |
(ftp)(http) |
TXT |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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