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Towards designer organelles by subverting the peroxisomal import pathway

Author

Listed:
  • Laura L. Cross

    (University of Leeds
    University of Leeds
    University of Leeds)

  • Rupesh Paudyal

    (University of Leeds
    University of Leeds)

  • Yasuko Kamisugi

    (University of Leeds
    University of Leeds)

  • Alan Berry

    (University of Leeds
    University of Leeds)

  • Andrew C. Cuming

    (University of Leeds
    University of Leeds)

  • Alison Baker

    (University of Leeds
    University of Leeds
    University of Leeds)

  • Stuart L. Warriner

    (University of Leeds
    University of Leeds)

Abstract

The development of ‘designer’ organelles could be a key strategy to enable foreign pathways to be efficiently controlled within eukaryotic biotechnology. A fundamental component of any such system will be the implementation of a bespoke protein import pathway that can selectively deliver constituent proteins to the new compartment in the presence of existing endogenous trafficking systems. Here we show that the protein–protein interactions that control the peroxisomal protein import pathway can be manipulated to create a pair of interacting partners that still support protein import in moss cells, but are orthogonal to the naturally occurring pathways. In addition to providing a valuable experimental tool to give new insights into peroxisomal protein import, the variant receptor-signal sequence pair forms the basis of a system in which normal peroxisomal function is downregulated and replaced with an alternative pathway, an essential first step in the creation of a designer organelle.

Suggested Citation

  • Laura L. Cross & Rupesh Paudyal & Yasuko Kamisugi & Alan Berry & Andrew C. Cuming & Alison Baker & Stuart L. Warriner, 2017. "Towards designer organelles by subverting the peroxisomal import pathway," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00487-7
    DOI: 10.1038/s41467-017-00487-7
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    Cited by:

    1. Jaume Bonet & Sarah Wehrle & Karen Schriever & Che Yang & Anne Billet & Fabian Sesterhenn & Andreas Scheck & Freyr Sverrisson & Barbora Veselkova & Sabrina Vollers & Roxanne Lourman & Mélanie Villard , 2018. "Rosetta FunFolDes – A general framework for the computational design of functional proteins," PLOS Computational Biology, Public Library of Science, vol. 14(11), pages 1-30, November.

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