|
Status |
Public on Sep 03, 2019 |
Title |
LNCaP_Vehicle_RNAseq rep4 |
Sample type |
SRA |
|
|
Source name |
prostate cancer cells
|
Organism |
Homo sapiens |
Characteristics |
cell line: prostate cancer cell line LNCaP disease state: Prostate adenocarcinoma treatment: Vehicle
|
Treatment protocol |
For all experiments, cells were maintained in phenol red-free RPMI medium with 5-10% charcoal-stripped FBS for 3 days before treatment. Then cells were treated with vehicle, DHT and MDV for indicated time.
|
Growth protocol |
The prostate cancer cell line LNCaP was cultured in the RPMI complete medium (10% FBS).
|
Extracted molecule |
polyA RNA |
Extraction protocol |
For RNA-seq, total RNA was isolated using an RNeasy kit (QIAGEN). Next, mRNA was enriched using NEBNext Poly(A) mRNA Magnetic Isolation Module. After two rounds of processes, the mRNA was recovered for library generation. For RNA-seq, the library preparation was performed with NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina following the manufacturer’s instructions. The cDNA molecules were amplified by 8 cycles of PCR. Non-size selection libraries were then sequenced for using Illumina HiSeq 2500 at the OSUCCC sequencing core.
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|
|
Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina HiSeq 2500 |
|
|
Description |
Biological replicate 4 LNCaP_Vehicle_gene.read.counts
|
Data processing |
RNA-seq process: The RNA-seq data was aligned by TopHat 2.0. Reads were mapped to the reference genome build (hg19). Read counts were calculated with Partek. The reads count in exon regions was used to estimate the expression level of the genes. Genome_build: hg19 Supplementary_files_format_and_content: For RNA-seq, tab-delimited text files include read counts of all genes for each Sample.
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|
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Submission date |
Jan 13, 2019 |
Last update date |
Sep 03, 2019 |
Contact name |
Zhong Chen |
E-mail(s) |
zhong.chen128@duke.edu
|
Organization name |
Duke University
|
Department |
Pathology
|
Lab |
Room 1027B, GSRB1
|
Street address |
905 S. LaSalle Street
|
City |
Durham |
State/province |
NC |
ZIP/Postal code |
27710 |
Country |
USA |
|
|
Platform ID |
GPL16791 |
Series (1) |
GSE125014 |
Molecular determinants for enzalutamide-induced transcription in prostate cancer |
|
Relations |
BioSample |
SAMN10736560 |
SRA |
SRX5245444 |