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Engineering coupled consortia-based biosensors for diagnostic

Author

Listed:
  • Rongying Huang

    (Technion City)

  • Valeriia Kravchik

    (Technion City)

  • Rawan Zaatry

    (Technion – Israel Institute of Technology)

  • Mouna Habib

    (Technion City)

  • Naama Geva-Zatorsky

    (Technion – Israel Institute of Technology
    Suite 505)

  • Ramez Daniel

    (Technion City)

Abstract

Synthetic multicellular systems have great potential for performing complex tasks, including multi-signal detection and computation through cell-to-cell communication. However, engineering these systems is challenging, requiring precise control over the cell concentrations of distinct members and coordination of their activity. Here, we develop a bacterial consortia-based biosensor for Heme and Lactate, wherein members are coupled through a global shared quorum-sensing signal that simultaneously controls the activity of the diverse biosensing strains. The multicellular system incorporates a gene circuit that computes the minimum between each biosensor’s activity and the shared signal. We evaluate three consortia configurations: one where the shared signal is externally supplied, another directly produced via an inducible gene circuit, and a third generated through an incoherent feedforward loop (IFFL) gene circuit. Among these configurations, the IFFL system, which maintains the shared signal at low and stable levels over an extended period, demonstrates improved performance and robustness against perturbations in cell populations. Finally, we examine these coupled consortia to monitor Lactate and Heme in humanized fecal samples for diagnostics.

Suggested Citation

  • Rongying Huang & Valeriia Kravchik & Rawan Zaatry & Mouna Habib & Naama Geva-Zatorsky & Ramez Daniel, 2025. "Engineering coupled consortia-based biosensors for diagnostic," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-58996-9
    DOI: 10.1038/s41467-025-58996-9
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    References listed on IDEAS

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    2. Razan N. Alnahhas & Mehdi Sadeghpour & Ye Chen & Alexis A. Frey & William Ott & Krešimir Josić & Matthew R. Bennett, 2020. "Majority sensing in synthetic microbial consortia," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    3. Luna Rizik & Loai Danial & Mouna Habib & Ron Weiss & Ramez Daniel, 2022. "Synthetic neuromorphic computing in living cells," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    4. Arianna Miano & Michael J. Liao & Jeff Hasty, 2020. "Inducible cell-to-cell signaling for tunable dynamics in microbial communities," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    5. Rong Zhang & Hanah Goetz & Juan Melendez-Alvarez & Jiao Li & Tian Ding & Xiao Wang & Xiao-Jun Tian, 2021. "Winner-takes-all resource competition redirects cascading cell fate transitions," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
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