Literature DB >> 32534106

Alternative splicing regulation by the androgen receptor in prostate cancer cells.

Lucas Germain1, Camille Lafront2, Jolyane Beaudette2, Raghavendra Tejo Karthik Poluri2, Cindy Weidmann3, Étienne Audet-Walsh4.   

Abstract

The androgen receptor (AR) is a transcription factor that drives prostate cancer (PCa) by modulating the expression of thousands of genes to promote proliferation and survival and to reprogram metabolism. However, how AR activation controls alternative splicing is mostly unknown. Our objective was to define its role in the transcriptome-wide regulation of alternative splicing. Three human PCa models-LNCaP, LAPC4, and 22Rv1 cells-were treated with and without androgens, and RNA was purified for deep-sequencing analyses (RNA-seq). Several bioinformatic tools were then used to study alternative splicing. We demonstrate that in the absence of androgens, alternative splicing complexity is similar among AR-positive PCa cells, with 48 % of all transcripts having various levels of alternative splicing. We also describe alternative splicing differences among cell lines, such as specific splicing of AR, REST, TSC2, and CTBP1. Interestingly, AR activation changed the alternative splicing of thousands of genes in all the PCa cell lines tested. Overlap between AR-sensitive alternative splicing events revealed that genes linked to cell metabolism are major targets for this specific modulation. These genes encode metabolic enzymes such as the prostate-specific membrane antigen, encoded by FOLH1, and the malate dehydrogenase 1 (MDH1). Overall, our study presents a comprehensive analysis of the PCa cell transcriptome and its modulation by AR, revealing a significant enrichment of metabolic genes in this AR-dependent regulation of alternative splicing.
Copyright © 2020 Elsevier Ltd. All rights reserved.

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Keywords:  ARv7; FOLH1; Metabolism; Nuclear receptor; Prostate-specific membrane antigen; REST; Steroid; TSC2

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Year:  2020        PMID: 32534106     DOI: 10.1016/j.jsbmb.2020.105710

Source DB:  PubMed          Journal:  J Steroid Biochem Mol Biol        ISSN: 0960-0760            Impact factor:   4.292


  1 in total

1.  A FACS-Free Purification Method to Study Estrogen Signaling, Organoid Formation, and Metabolic Reprogramming in Mammary Epithelial Cells.

Authors:  Aurélie Lacouture; Cynthia Jobin; Cindy Weidmann; Line Berthiaume; Dominic Bastien; Isabelle Laverdière; Martin Pelletier; Étienne Audet-Walsh
Journal:  Front Endocrinol (Lausanne)       Date:  2021-08-12       Impact factor: 5.555

  1 in total

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