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An in vivo platform to select and evolve aggregation-resistant proteins

Author

Listed:
  • Jessica S. Ebo

    (University of Leeds
    University of Leeds)

  • Janet C. Saunders

    (University of Leeds
    University of Leeds
    AstraZeneca, Granta Park
    AstraZeneca, Granta Park)

  • Paul W. A. Devine

    (University of Leeds
    University of Leeds
    AstraZeneca, Granta Park)

  • Alice M. Gordon

    (University of Leeds
    University of Leeds)

  • Amy S. Warwick

    (University of Leeds
    University of Leeds)

  • Bob Schiffrin

    (University of Leeds
    University of Leeds)

  • Stacey E. Chin

    (AstraZeneca, Granta Park)

  • Elizabeth England

    (AstraZeneca, Granta Park)

  • James D. Button

    (AstraZeneca, Granta Park)

  • Christopher Lloyd

    (AstraZeneca, Granta Park)

  • Nicholas J. Bond

    (AstraZeneca, Granta Park)

  • Alison E. Ashcroft

    (University of Leeds
    University of Leeds)

  • Sheena E. Radford

    (University of Leeds
    University of Leeds)

  • David C. Lowe

    (AstraZeneca, Granta Park)

  • David J. Brockwell

    (University of Leeds
    University of Leeds)

Abstract

Protein biopharmaceuticals are highly successful, but their utility is compromised by their propensity to aggregate during manufacture and storage. As aggregation can be triggered by non-native states, whose population is not necessarily related to thermodynamic stability, prediction of poorly-behaving biologics is difficult, and searching for sequences with desired properties is labour-intensive and time-consuming. Here we show that an assay in the periplasm of E. coli linking aggregation directly to antibiotic resistance acts as a sensor for the innate (un-accelerated) aggregation of antibody fragments. Using this assay as a directed evolution screen, we demonstrate the generation of aggregation resistant scFv sequences when reformatted as IgGs. This powerful tool can thus screen and evolve ‘manufacturable’ biopharmaceuticals early in industrial development. By comparing the mutational profiles of three different immunoglobulin scaffolds, we show the applicability of this method to investigate protein aggregation mechanisms important to both industrial manufacture and amyloid disease.

Suggested Citation

  • Jessica S. Ebo & Janet C. Saunders & Paul W. A. Devine & Alice M. Gordon & Amy S. Warwick & Bob Schiffrin & Stacey E. Chin & Elizabeth England & James D. Button & Christopher Lloyd & Nicholas J. Bond , 2020. "An in vivo platform to select and evolve aggregation-resistant proteins," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15667-1
    DOI: 10.1038/s41467-020-15667-1
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    Cited by:

    1. Angelo Rosace & Anja Bennett & Marc Oeller & Mie M. Mortensen & Laila Sakhnini & Nikolai Lorenzen & Christian Poulsen & Pietro Sormanni, 2023. "Automated optimisation of solubility and conformational stability of antibodies and proteins," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Sabine M. Ulamec & Roberto Maya-Martinez & Emily J. Byrd & Katherine M. Dewison & Yong Xu & Leon F. Willis & Frank Sobott & George R. Heath & Patricija Oosten Hawle & Vladimir L. Buchman & Sheena E. R, 2022. "Single residue modulators of amyloid formation in the N-terminal P1-region of α-synuclein," Nature Communications, Nature, vol. 13(1), pages 1-16, December.

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