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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
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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.
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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
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Contributor(s) |
Sun Y, Xu Q |
Citation(s) |
31493351 |
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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
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Phone |
86-21-54923302
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Organization name |
Chinese Academy of Sciences
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Department |
Shanghai Institute of Nutrition and Health
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Lab |
Cancer Resistance
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Street address |
320 Yueyang Rd, Life Sciences Building A #1508
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City |
Shanghai |
ZIP/Postal code |
200031 |
Country |
China |
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Platforms (1) |
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Samples (12)
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Relations |
BioProject |
PRJNA480458 |
SRA |
SRP152950 |