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De novo design of modular and tunable protein biosensors

Author

Listed:
  • Alfredo Quijano-Rubio

    (University of Washington
    University of Washington)

  • Hsien-Wei Yeh

    (University of Washington)

  • Jooyoung Park

    (University of Washington
    Sana Biotechnology, Inc)

  • Hansol Lee

    (Korea Advanced Institute of Science and Technology)

  • Robert A. Langan

    (University of Washington
    Outpace Bio, Inc.)

  • Scott E. Boyken

    (University of Washington
    Outpace Bio, Inc.)

  • Marc J. Lajoie

    (University of Washington
    Outpace Bio, Inc.)

  • Longxing Cao

    (University of Washington)

  • Cameron M. Chow

    (University of Washington)

  • Marcos C. Miranda

    (University of Washington)

  • Jimin Wi

    (Kangwon National University)

  • Hyo Jeong Hong

    (Kangwon National University)

  • Lance Stewart

    (University of Washington)

  • Byung-Ha Oh

    (University of Washington
    Korea Advanced Institute of Science and Technology)

  • David Baker

    (University of Washington
    University of Washington)

Abstract

Naturally occurring protein switches have been repurposed for the development of biosensors and reporters for cellular and clinical applications1. However, the number of such switches is limited, and reengineering them is challenging. Here we show that a general class of protein-based biosensors can be created by inverting the flow of information through de novo designed protein switches in which the binding of a peptide key triggers biological outputs of interest2. The designed sensors are modular molecular devices with a closed dark state and an open luminescent state; analyte binding drives the switch from the closed to the open state. Because the sensor is based on the thermodynamic coupling of analyte binding to sensor activation, only one target binding domain is required, which simplifies sensor design and allows direct readout in solution. We create biosensors that can sensitively detect the anti-apoptosis protein BCL-2, the IgG1 Fc domain, the HER2 receptor, and Botulinum neurotoxin B, as well as biosensors for cardiac troponin I and an anti-hepatitis B virus antibody with the high sensitivity required to detect these molecules clinically. Given the need for diagnostic tools to track the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)3, we used the approach to design sensors for the SARS-CoV-2 spike protein and antibodies against the membrane and nucleocapsid proteins. The former, which incorporates a de novo designed spike receptor binding domain (RBD) binder4, has a limit of detection of 15 pM and a luminescence signal 50-fold higher than the background level. The modularity and sensitivity of the platform should enable the rapid construction of sensors for a wide range of analytes, and highlights the power of de novo protein design to create multi-state protein systems with new and useful functions.

Suggested Citation

  • Alfredo Quijano-Rubio & Hsien-Wei Yeh & Jooyoung Park & Hansol Lee & Robert A. Langan & Scott E. Boyken & Marc J. Lajoie & Longxing Cao & Cameron M. Chow & Marcos C. Miranda & Jimin Wi & Hyo Jeong Hon, 2021. "De novo design of modular and tunable protein biosensors," Nature, Nature, vol. 591(7850), pages 482-487, March.
  • Handle: RePEc:nat:nature:v:591:y:2021:i:7850:d:10.1038_s41586-021-03258-z
    DOI: 10.1038/s41586-021-03258-z
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    Citations

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    Cited by:

    1. Huimeng Wang & Yi Fan & Yaqi Hou & Baiyi Chen & Jinmei Lei & Shijie Yu & Xinyu Chen & Xu Hou, 2022. "Host-guest liquid gating mechanism with specific recognition interface behavior for universal quantitative chemical detection," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. Xueyan Chen & Qianqian Ding & Chao Bi & Jian Ruan & Shikuan Yang, 2022. "Lossless enrichment of trace analytes in levitating droplets for multiphase and multiplex detection," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Robert E. Jefferson & Aurélien Oggier & Andreas Füglistaler & Nicolas Camviel & Mahdi Hijazi & Ana Rico Villarreal & Caroline Arber & Patrick Barth, 2023. "Computational design of dynamic receptor—peptide signaling complexes applied to chemotaxis," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    4. Zhong Guo & Rinky D. Parakra & Ying Xiong & Wayne A. Johnston & Patricia Walden & Selvakumar Edwardraja & Shayli Varasteh Moradi & Jacobus P. J. Ungerer & Hui-wang Ai & Jonathan J. Phillips & Kirill A, 2022. "Engineering and exploiting synthetic allostery of NanoLuc luciferase," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    5. Yasmine S. Zubi & Kosuke Seki & Ying Li & Andrew C. Hunt & Bingqing Liu & Benoît Roux & Michael C. Jewett & Jared C. Lewis, 2022. "Metal-responsive regulation of enzyme catalysis using genetically encoded chemical switches," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    6. Heonjoon Lee & Tian Xie & Byunghwa Kang & Xinjie Yu & Samuel W. Schaffter & Rebecca Schulman, 2024. "Plug-and-play protein biosensors using aptamer-regulated in vitro transcription," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    7. William M. Dawson & Kathryn L. Shelley & Jordan M. Fletcher & D. Arne Scott & Lucia Lombardi & Guto G. Rhys & Tania J. LaGambina & Ulrike Obst & Antony J. Burton & Jessica A. Cross & George Davies & F, 2023. "Differential sensing with arrays of de novo designed peptide assemblies," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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