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Sample GSM1319625 Query DataSets for GSM1319625
Status Public on Mar 21, 2016
Title ER_LET-R_Veh_01
Sample type SRA
 
Source name ER_LET-R_Veh
Organism Homo sapiens
Characteristics cell line: Let-R
cell type: Letrozole-resistant breast cancer cells
treated with: 10% ethanol (vehicle control) for 45min
chip antibody: anti-ER
chip antibody vendor: Santa Cruz Biotechnologies
chip antibody cat. #: sc-543
Treatment protocol Cells were maintained in steroid depleted medium for 72 hours prior to treatment with androstenedione (10-7 M; Sigma Aldrich, St. Louis, MO, USA) or Vehicle (10% ethanol) for 45minutes.
Growth protocol Estrogen receptor positive MCF-7 breast cancer cells were obtained from American Type Culture Collection (ATCC). MCF-7 cells were stably transfected with the aromatase gene (CYP19) (Invitrogen, Paisley, UK) to generate aromatase inhibitor sensitive cells (Aro cells). Letrozole-resistant (LetR) cells were then generated by long-term (>3 months) culture of Aro cells with letrozole (10-6M; Novartis, Switzerland) and androstenedione (25 x 10-5 mol/L; Sigma Aldrich) in MEM supplemented with 10% charcoal-dextran-stripped FCS, 1% L-Glutamine, 1% Pen/Strep, and 200 mg/mL Geneticin (G418, Gibco Invitrogen). All cells were maintained at 37degreesCelcius, 5% CO2 in a humidified incubator.
Extracted molecule genomic DNA
Extraction protocol Cells were treated and harvested for ChIP-seq as described previously (Schmidt et al, 2009, http://www.ncbi.nlm.nih.gov/pubmed/19275939). The anti-ER (sc-543) from Santa Cruz Biotechnologies was used as the antibody. Chromatin was extracted from the cells and the protein of interest, along with the DNA attached, was immunoprecipitated using the antibody attached to Dynal beads (Dynabeads® Protein A 10001D, Life Technologies). The proteins were then removed from the DNA by reverse crosslinking overnight and the DNA purified and amplified before being sequenced.
DNA libraries were generated from ChIP output DNA by adaptor ligation, gel purification, and cycles of PCR as described by Illumina.
 
Library strategy ChIP-Seq
Library source genomic
Library selection ChIP
Instrument model Illumina HiSeq 2000
 
Data processing The DNA sequencing was carried out on the Illumina GAIIx and Illumina HiSeq 2000
ChIP-seq reads were aligned to the hg19 genome using Bowtie (v0.12.9) with parameters "-m 1 -v 2 --strata --best"
Peak calling was carried out by MACS2 with a p-value cut off of 1e-03 and by linearly scaling the smaller dataset to the larger dataset (via the "--to-large" parameter).
Using the MACS2 results, a reliable peakset was produced by applying the Irreproducible Discovery Rate tool to the replicates of the androstenedione treated and vehicle samples. The peak sets for the androstenedione and vehicle samples were then assessed for overlapping peaks using bedtools (by at least 1bp).
This produced three peaks lists : 1) Androstenedione only peaks, 2) Vehicle only peaks and 3) Overlapping peaks between Androstenedione and Vehicle peaksets. They are represented as bed files
Genome_build: hg19
Supplementary_files_format_and_content: There are the ChIP-seq data files in bedgraph format from the MACS2 peak calling software.And there are bed files for the three peak lists: 1) Androstenedione only peaks, 2) Vehicle only peaks and 3) Overlapping peaks between Androstenedione and Vehicle peaksets
 
Submission date Jan 31, 2014
Last update date May 15, 2019
Contact name Leonie Young
Organization name Royal College of Surgeons, Ireland
Department Surgery
Lab Endocrine Oncology Research Group
Street address York Street
City Dublin
ZIP/Postal code Dublin 2
Country Ireland
 
Platform ID GPL11154
Series (1)
GSE54592 ER ChIP-seq of Androstenedione treated Letrozole Resistant Breast Cancer Cell line
Relations
BioSample SAMN02614520
SRA SRX457214

Supplementary file Size Download File type/resource
GSM1319625_ER_LET-R_Veh_01_pileup.bedGraph.gz 198.7 Mb (ftp)(http) BEDGRAPH
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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