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Multiplexed functional genomic analysis of 5’ untranslated region mutations across the spectrum of prostate cancer

Author

Listed:
  • Yiting Lim

    (Fred Hutchinson Cancer Research Center)

  • Sonali Arora

    (Fred Hutchinson Cancer Research Center)

  • Samantha L. Schuster

    (Fred Hutchinson Cancer Research Center
    University of Washington)

  • Lukas Corey

    (Fred Hutchinson Cancer Research Center)

  • Matthew Fitzgibbon

    (Fred Hutchinson Cancer Research Center)

  • Cynthia L. Wladyka

    (Fred Hutchinson Cancer Research Center)

  • Xiaoying Wu

    (Fred Hutchinson Cancer Research Center)

  • Ilsa M. Coleman

    (Fred Hutchinson Cancer Research Center)

  • Jeffrey J. Delrow

    (Fred Hutchinson Cancer Research Center)

  • Eva Corey

    (University of Washington)

  • Lawrence D. True

    (University of Washington
    University of Washington)

  • Peter S. Nelson

    (Fred Hutchinson Cancer Research Center
    University of Washington)

  • Gavin Ha

    (Fred Hutchinson Cancer Research Center)

  • Andrew C. Hsieh

    (Fred Hutchinson Cancer Research Center
    University of Washington)

Abstract

The functional consequences of genetic variants within 5’ untranslated regions (UTRs) on a genome-wide scale are poorly understood in disease. Here we develop a high-throughput multi-layer functional genomics method called PLUMAGE (Pooled full-length UTR Multiplex Assay on Gene Expression) to quantify the molecular consequences of somatic 5’ UTR mutations in human prostate cancer. We show that 5’ UTR mutations can control transcript levels and mRNA translation rates through the creation of DNA binding elements or RNA-based cis-regulatory motifs. We discover that point mutations can simultaneously impact transcript and translation levels of the same gene. We provide evidence that functional 5’ UTR mutations in the MAP kinase signaling pathway can upregulate pathway-specific gene expression and are associated with clinical outcomes. Our study reveals the diverse mechanisms by which the mutational landscape of 5’ UTRs can co-opt gene expression and demonstrates that single nucleotide alterations within 5’ UTRs are functional in cancer.

Suggested Citation

  • Yiting Lim & Sonali Arora & Samantha L. Schuster & Lukas Corey & Matthew Fitzgibbon & Cynthia L. Wladyka & Xiaoying Wu & Ilsa M. Coleman & Jeffrey J. Delrow & Eva Corey & Lawrence D. True & Peter S. N, 2021. "Multiplexed functional genomic analysis of 5’ untranslated region mutations across the spectrum of prostate cancer," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24445-6
    DOI: 10.1038/s41467-021-24445-6
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    Cited by:

    1. Sebastian Castillo-Hair & Stephen Fedak & Ban Wang & Johannes Linder & Kyle Havens & Michael Certo & Georg Seelig, 2024. "Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

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