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Plug-and-play protein biosensors using aptamer-regulated in vitro transcription

Author

Listed:
  • Heonjoon Lee

    (Johns Hopkins University School of Medicine)

  • Tian Xie

    (Johns Hopkins Bloomberg School of Public Health)

  • Byunghwa Kang

    (Johns Hopkins University)

  • Xinjie Yu

    (Johns Hopkins University)

  • Samuel W. Schaffter

    (National Institute of Standards and Technology)

  • Rebecca Schulman

    (Johns Hopkins University
    Johns Hopkins University
    Johns Hopkins University)

Abstract

Molecular biosensors that accurately measure protein concentrations without external equipment are critical for solving numerous problems in diagnostics and therapeutics. Modularly transducing the binding of protein antibodies, protein switches or aptamers into a useful output remains challenging. Here, we develop a biosensing platform based on aptamer-regulated transcription in which aptamers integrated into transcription templates serve as inputs to molecular circuits that can be programmed to a produce a variety of responses. We modularly design molecular biosensors using this platform by swapping aptamer domains for specific proteins and downstream domains that encode different RNA transcripts. By coupling aptamer-regulated transcription with diverse transduction circuits, we rapidly construct analog protein biosensors and digital protein biosensors with detection ranges that can be tuned over two orders of magnitude and can exceed the binding affinity of the aptamer. Aptamer-regulated transcription is a straightforward and inexpensive approach for constructing programmable protein biosensors that could have diverse applications in research and biotechnology.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51907-4
    DOI: 10.1038/s41467-024-51907-4
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    References listed on IDEAS

    as
    1. Chun-Ying Lee & Christina McNerney & Kevin Ma & Walter Zhao & Ashley Wang & Sua Myong, 2020. "R-loop induced G-quadruplex in non-template promotes transcription by successive R-loop formation," Nature Communications, Nature, vol. 11(1), pages 1-15, December.
    2. Jay H. Choi & Abigail H. Laurent & Vincent J. Hilser & Marc Ostermeier, 2015. "Design of protein switches based on an ensemble model of allostery," Nature Communications, Nature, vol. 6(1), pages 1-9, November.
    3. Nicolò Maganzini & Ian Thompson & Brandon Wilson & Hyongsok Tom Soh, 2022. "Pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    4. Grace E. Vezeau & Lipika R. Gadila & Howard M. Salis, 2023. "Automated design of protein-binding riboswitches for sensing human biomarkers in a cell-free expression system," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    5. 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.
    Full references (including those not matched with items on IDEAS)

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