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Series GSE179157 Query DataSets for GSE179157
Status Public on Oct 07, 2022
Title Prostate cancer resistance leads to a global deregulation of translation factors and unconventional translation
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Other
Summary Using a newly generated enzalutamide-resistant prostate cancer model, we characterized alterations in the translatome during prostate cancer enzalutamide resistance acquisition. We show a discordance between the translatome and transcriptome of drug-resistant cells, a deregulation of proteins involved in translation and an overall decrease in translational efficiency upon resistance acquisition. Interestingly, long non-coding RNAs show higher translation efficiency in enzalutamide-resistant cells, and a strong correlation with poor patient prognosis. Taken together, this suggests that aberrant translation of coding and non-coding genes are strong indicators of PCa enzalutamide-resistance.
 
Overall design RNA sequencing of Poly(A) RNA from enzalutamide sensitive VCaP and VCaP-CRPC (Castration Resistant Prostate Cancer) and of enzalutamide resistant VCaP-ER (Enzalutamide Resistant), and RNA sequencing of heavy polysome-bound RNA from VCaP-CRPC and VCaP-ER (as duplicates).
 
Contributor(s) Lelong EJ, Khelifi G, Hussein SI
Citation(s) 36348939
Submission date Jun 29, 2021
Last update date Nov 21, 2022
Contact name Samer M.I. Hussein
E-mail(s) samer.hussein@fmed.ulaval.ca
Organization name CHU de Québec - Université Laval
Department Departement of medecine
Lab Hussein Lab
Street address 9 rue Mcmahon
City Quebec City
State/province Quebec
ZIP/Postal code G1R 3S3
Country Canada
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (10)
GSM5410833 VCaP_rep1
GSM5410834 VCaP_rep2
GSM5410835 VCaP_CRPC_rep1
Relations
BioProject PRJNA742424
SRA SRP326162

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SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE179157_Lelong_processed_data_RNA_seq.xlsx 16.1 Mb (ftp)(http) XLSX
GSE179157_genome.fa.gz 828.4 Mb (ftp)(http) FA
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Raw data are available in SRA
Processed data are available on Series record

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