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Series GSE116864 Query DataSets for GSE116864
Status Public on Dec 01, 2019
Title Transcriptomic Reprogramming of Prostate Cancer Cells Driven by Stroma-Derived AREG
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Recent advances in next generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways and responses. We performed this study to investigate the transcriptome profiling (RNA-seq) of prostate cancer cells upon in vitro treatment with the conditioned media from prostate stromal cells exogenously expressing human AREG.
 
Overall design Overall transcript profiles of prostate cancer cell lines including PC3 and DU145 were generated by deep sequencing, in triplicate, using Illumina HiSeq X10. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays
 
Contributor(s) Sun Y, Xu Q
Citation(s) 31493351
Submission date Jul 10, 2018
Last update date Feb 06, 2020
Contact name Yu Sun
E-mail(s) sunyu@sinh.ac.cn, submarinesuny@yahoo.com
Phone 86-21-54923302
Organization name Chinese Academy of Sciences
Department Shanghai Institute of Nutrition and Health
Lab Cancer Resistance
Street address 320 Yueyang Rd, Life Sciences Building A #1508
City Shanghai
ZIP/Postal code 200031
Country China
 
Platforms (1)
GPL20795 HiSeq X Ten (Homo sapiens)
Samples (12)
GSM3263108 PC3_control_01
GSM3263109 PC3_control_02
GSM3263110 PC3_control_03
Relations
BioProject PRJNA480458
SRA SRP152950

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
GSE116864_Prostate_cellines_DU145_AREGVsCTRL.FPKM.txt.gz 7.0 Mb (ftp)(http) TXT
GSE116864_Prostate_cellines_PC3_AREGVsCTRL.FPKM.txt.gz 2.2 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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