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Series GSE118104 Query DataSets for GSE118104
Status Public on Aug 14, 2018
Title AmpliSeq Transcriptome Analysis of Human Prostate Cancer Cells With or Without Overt SRRM4 Expression
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Prostate adenocarcinoma (AdPC) cells can undergo lineage switching to neuroendocrine cells and develop into therapy-resistant neuroendocrine prostate cancer (NEPC). While genomic/epigenetic alterations are shown to induce neuroendocrine differentiation via an intermediate stem-like state, RNA splicing factor SRRM4 can transform AdPC cells into NEPC xenografts through a direct neuroendocrine transdifferentiation mechanism. Whether SRRM4 can also regulate a stem-cell gene network for NEPC development remains unclear. Here, we use the Ion AmpliSeqTM Transcriptome Human Gene Expression Kit (AmpliSeq) to analyze the transcriptome of human AdPC cell line DU145 overexpressing SRRM4 via lentiviral transduction compared to the control, empty vector-transduced DU145 cells. This study reveals that SRRM4 induces a pluripotency gene network consisting of the stem-cell differentiation gene, SOX2. In summary, we report a novel mechanism by which SRRM4 drives NEPC progression via a pluripotency gene network.
 
Overall design Assessment of transcriptome profiles from DU145 cells with or without overt SRRM4 expression using AmpliSeq.
 
Contributor(s) Dong X, Lee AR, Gan Y
Citation(s) 30100395
Submission date Aug 03, 2018
Last update date Mar 01, 2019
Contact name Xuesen Dong
E-mail(s) xdong@prostatecentre.com
Organization name University of British Columbia
Department Department of Urologic sciences, Vancouver Prostate Centre
Lab Dong Lab
Street address 2660 Oak Street
City Vancouver
State/province British Columbia
ZIP/Postal code V6H 3Z6
Country Canada
 
Platforms (1)
GPL17303 Ion Torrent Proton (Homo sapiens)
Samples (6)
GSM3318632 DU145-CTL_1
GSM3318633 DU145-CTL_2
GSM3318634 DU145-CTL_3
Relations
BioProject PRJNA484414
SRA SRP156322

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Supplementary file Size Download File type/resource
GSE118104_Normalized_SRRM4_Ctrl.txt.gz 994.2 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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