|
Status |
Public on Jun 13, 2012 |
Title |
ECC1_E2_R1 |
Sample type |
SRA |
|
|
Source name |
Endometrial cancer cell line
|
Organism |
Homo sapiens |
Characteristics |
treatment: 8 hour 10 nM 17β-estradiol replicate: 1 cell line: ECC-1
|
Treatment protocol |
Cells were treated with either 10 nM 17β-estradiol, 100 nM genistein, 100 nM bisphenol A or 0.02% DMSO (vehicle control) for 8 hours before harvesting.
|
Growth protocol |
Both ECC-1 and T-47D were grown on phenol red-free RPMI-1640 supplemented with 10% dextran/charcoal treated fetal bovine serum for five days. RNA lysate was harvested from 100 mm dishes
|
Extracted molecule |
polyA RNA |
Extraction protocol |
mRNA was harvested using an mRNA-direct kit (Invitrogen), followed by DNase treatment. Non-directional libraries were then constructed as described in Gertz J, Varley KE, Davis NS, Baas BJ et al. Transposase mediated construction of RNA-seq libraries. Genome Res 2012 Jan;22(1):134-41.
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|
|
Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina HiSeq 2000 |
|
|
Data processing |
To calculate expression levels in each library, sequence reads were aligned to a database of all spliced RefSeq transcripts using Bowtie with the following parameters:-n 2 -a -m 10 -X 3000. The number of reads aligning to each transcript was multiplied by 1 million, then divided by the length of the transcript times the total number of aligned reads to calculate RPKM values. Genome_build: hg19 Supplementary_files_format_and_content: The processed data files contain the official gene symbol, refseq id and RPKM value
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|
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Submission date |
May 24, 2012 |
Last update date |
May 15, 2019 |
Contact name |
Jason Gertz |
E-mail(s) |
jgertz@hudsonalpha.com
|
Organization name |
HudsonAlpha Institute
|
Street address |
601 Genome Way
|
City |
Huntsville |
State/province |
AL |
ZIP/Postal code |
35806 |
Country |
USA |
|
|
Platform ID |
GPL11154 |
Series (1) |
GSE38234 |
Genistein and bisphenol A exposure cause estrogen receptor 1 to bind thousands of binding sites in a cell type-specific manner |
|
Relations |
SRA |
SRX149617 |
BioSample |
SAMN00998522 |