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Rapid construction of metabolite biosensors using domain-insertion profiling

Author

Listed:
  • Dana C. Nadler

    (University of California)

  • Stacy-Anne Morgan

    (University of California)

  • Avi Flamholz

    (University of California)

  • Kaitlyn E. Kortright

    (University of California)

  • David F. Savage

    (University of California
    University of California
    Energy Biosciences Institute, University of California)

Abstract

Single-fluorescent protein biosensors (SFPBs) are an important class of probes that enable the single-cell quantification of analytes in vivo. Despite advantages over other detection technologies, their use has been limited by the inherent challenges of their construction. Specifically, the rational design of green fluorescent protein (GFP) insertion into a ligand-binding domain, generating the requisite allosteric coupling, remains a rate-limiting step. Here, we describe an unbiased approach, termed domain-insertion profiling with DNA sequencing (DIP-seq), that combines the rapid creation of diverse libraries of potential SFPBs and high-throughput activity assays to identify functional biosensors. As a proof of concept, we construct an SFPB for the important regulatory sugar trehalose. DIP-seq analysis of a trehalose-binding-protein reveals allosteric hotspots for GFP insertion and results in high-dynamic range biosensors that function robustly in vivo. Taken together, DIP-seq simultaneously accelerates metabolite biosensor construction and provides a novel tool for interrogating protein allostery.

Suggested Citation

  • Dana C. Nadler & Stacy-Anne Morgan & Avi Flamholz & Kaitlyn E. Kortright & David F. Savage, 2016. "Rapid construction of metabolite biosensors using domain-insertion profiling," Nature Communications, Nature, vol. 7(1), pages 1-11, November.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12266
    DOI: 10.1038/ncomms12266
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    Cited by:

    1. Willow Coyote-Maestas & David Nedrud & Antonio Suma & Yungui He & Kenneth A. Matreyek & Douglas M. Fowler & Vincenzo Carnevale & Chad L. Myers & Daniel Schmidt, 2021. "Probing ion channel functional architecture and domain recombination compatibility by massively parallel domain insertion profiling," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    2. Dorothy Koveal & Paul C. Rosen & Dylan J. Meyer & Carlos Manlio Díaz-García & Yongcheng Wang & Li-Heng Cai & Peter J. Chou & David A. Weitz & Gary Yellen, 2022. "A high-throughput multiparameter screen for accelerated development and optimization of soluble genetically encoded fluorescent biosensors," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    3. Jin Wang & Ning Xue & Wenjia Pan & Ran Tu & Shixin Li & Yue Zhang & Yufeng Mao & Ye Liu & Haijiao Cheng & Yanmei Guo & Wei Yuan & Xiaomeng Ni & Meng Wang, 2023. "Repurposing conformational changes in ANL superfamily enzymes to rapidly generate biosensors for organic and amino acids," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    4. Zhong Guo & Oleh Smutok & Wayne A. Johnston & Patricia Walden & Jacobus P. J. Ungerer & Thomas S. Peat & Janet Newman & Jake Parker & Tom Nebl & Caryn Hepburn & Artem Melman & Richard J. Suderman & Ev, 2021. "Design of a methotrexate-controlled chemical dimerization system and its use in bio-electronic devices," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    5. Liyuan Zhu & Harold M. McNamara & Jared E. Toettcher, 2023. "Light-switchable transcription factors obtained by direct screening in mammalian cells," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    6. Michael B. Sheets & Nathan Tague & Mary J. Dunlop, 2023. "An optogenetic toolkit for light-inducible antibiotic resistance," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    7. Andreas Kaczmarczyk & Simon Vliet & Roman Peter Jakob & Raphael Dias Teixeira & Inga Scheidat & Alberto Reinders & Alexander Klotz & Timm Maier & Urs Jenal, 2024. "A genetically encoded biosensor to monitor dynamic changes of c-di-GMP with high temporal resolution," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

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