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Series GSE115307 Query DataSets for GSE115307
Status Public on Jul 09, 2019
Title Race-specific transcriptome and Long non-coding RNA of ADT-resistant African-American prostate cancer cell models.
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: The goals of this study are to compare NGS-derived Androgen Deprivation Therapy (ADT) resistant transcriptome to profiling (RNA-seq) to Androgen Deprivation Therapy (ADT) sensitive transcriptome in African American prostate cancer cells and validate by reverse transcription polymerase chain reaction (qRT–PCR) methods.
Method: Total RNA was extracted from different CaP cell who were ADT sensitive and ADT resistance. Total RNA was subjected to whole transcriptome sequencing analysis. Sequence reads
Results: We performed whole transcriptome RNA-Seq analysis through paired-end deep sequencing to systematically investigate the molecular features of different CaP cell models- RCC7/N, RCC7T/E, RCC7T/E-ADT, RCC7T/E-CD133, E006AA-hT and E006AA-hT-ADT We obtained an average of 23.85 million reads per sample, ranging from 22.86 to 24.93 million reads, with an average mapping rate of 98.29% to the reference human genome (UCSC version hg20). Next we performed Kal’s Z-test and generated Fold-Change (FC) values, p values and False Discovery Rate (FDR) values for measuring comparative gene expression profile. By applying stringent statistical threshold of greater than or equal to 2 FC, p value < 0.05 and FDR value < 1, we identified genes that were significantly differentially expressed in three different comparative groups.
Conclusions: "Our study represents the first detailed analysis of African American ADT resistant transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. "
 
Overall design Androgen resistant and Androgen sensitive mRNA profiles from African American prostate cancer of were generated by deep sequencing, in duplicate using Illumina HiSeq
 
Contributor(s) Ganaie AA, Saleem M, Konety BR
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NIH grant(s)
Grant ID Grant title Affiliation Name
R21 CA184685 Novel gene that determines metastatic phenotype in African-American men UNIVERSITY OF MINNESOTA MOHAMMAD SALEEM BHAT
U54 MD008620 National Transdisciplinary Collaborative Center for African American Men's Health UNIVERSITY OF ALABAMA AT BIRMINGHAM BADRINATH R KONETY
Submission date Jun 04, 2018
Last update date Jul 11, 2019
Contact name Mohammad Saleem
Organization name University of Minnesota
Department Urology
Lab Molecular Therapeutics and Cancer Health Disparity
Street address 2231 6th St SE
City Minneapolis
State/province Mn
ZIP/Postal code 55455
Country USA
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (12)
GSM3175242 RC-77-N-1
GSM3175243 RC-77-N-2
GSM3175244 RC-77-T-1
Relations
BioProject PRJNA474510
SRA SRP149717

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Supplementary file Size Download File type/resource
GSE115307_RAW.tar 81.7 Mb (http)(custom) TAR (of XLSX)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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