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Rapid generation of hypomorphic mutations

Author

Listed:
  • Laura L. Arthur

    (Washington University School of Medicine)

  • Joyce J. Chung

    (Washington University)

  • Preetam Janakirama

    (The University of Western Ontario
    Science and Technology Branch, Agriculture and Agri-Food Canada)

  • Kathryn M. Keefer

    (Washington University School of Medicine)

  • Igor Kolotilin

    (Scattered Gold Biotechnology Inc. 14 Denali Terrace)

  • Slavica Pavlovic-Djuranovic

    (Washington University School of Medicine)

  • Douglas L. Chalker

    (Washington University)

  • Vojislava Grbic

    (The University of Western Ontario)

  • Rachel Green

    (Howard Hughes Medical Institute, Johns Hopkins University School of Medicine)

  • Rima Menassa

    (Science and Technology Branch, Agriculture and Agri-Food Canada)

  • Heather L. True

    (Washington University School of Medicine
    The Hope Center for Neurological Diseases, Washington University School of Medicine)

  • James B. Skeath

    (Washington University School of Medicine)

  • Sergej Djuranovic

    (Washington University School of Medicine)

Abstract

Hypomorphic mutations are a valuable tool for both genetic analysis of gene function and for synthetic biology applications. However, current methods to generate hypomorphic mutations are limited to a specific organism, change gene expression unpredictably, or depend on changes in spatial-temporal expression of the targeted gene. Here we present a simple and predictable method to generate hypomorphic mutations in model organisms by targeting translation elongation. Adding consecutive adenosine nucleotides, so-called polyA tracks, to the gene coding sequence of interest will decrease translation elongation efficiency, and in all tested cell cultures and model organisms, this decreases mRNA stability and protein expression. We show that protein expression is adjustable independent of promoter strength and can be further modulated by changing sequence features of the polyA tracks. These characteristics make this method highly predictable and tractable for generation of programmable allelic series with a range of expression levels.

Suggested Citation

  • Laura L. Arthur & Joyce J. Chung & Preetam Janakirama & Kathryn M. Keefer & Igor Kolotilin & Slavica Pavlovic-Djuranovic & Douglas L. Chalker & Vojislava Grbic & Rachel Green & Rima Menassa & Heather , 2017. "Rapid generation of hypomorphic mutations," Nature Communications, Nature, vol. 8(1), pages 1-16, April.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms14112
    DOI: 10.1038/ncomms14112
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    Cited by:

    1. Kyra Kerkhofs & Jyoti Garg & Étienne Fafard-Couture & Sherif Abou Elela & Michelle S. Scott & Ronald E. Pearlman & Mark A. Bayfield, 2022. "Altered tRNA processing is linked to a distinct and unusual La protein in Tetrahymena thermophila," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

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