A hybrid transistor with transcriptionally controlled computation and plasticity

Yang Gao, Yuchen Zhou, Xudong Ji, Austin J. Graham, Christopher M. Dundas, Ismar E. Miniel Mahfoud, Bailey M. Tibbett, Benjamin Tan, Gina Partipilo, Ananth Dodabalapur, Jonathan Rivnay and Benjamin K. Keitz ()
Additional contact information
Yang Gao: University of Texas at Austin
Yuchen Zhou: University of Texas at Austin
Xudong Ji: Northwestern University
Austin J. Graham: University of Texas at Austin
Christopher M. Dundas: University of Texas at Austin
Ismar E. Miniel Mahfoud: University of Texas at Austin
Bailey M. Tibbett: University of Texas at Austin
Benjamin Tan: University of Texas at Austin
Gina Partipilo: University of Texas at Austin
Ananth Dodabalapur: University of Texas at Austin
Jonathan Rivnay: Northwestern University
Benjamin K. Keitz: University of Texas at Austin

Nature Communications, 2024, vol. 15, issue 1, 1-13

Abstract: Abstract Organic electrochemical transistors (OECTs) are ideal devices for translating biological signals into electrical readouts and have applications in bioelectronics, biosensing, and neuromorphic computing. Despite their potential, developing programmable and modular methods for living systems to interface with OECTs has proven challenging. Here we describe hybrid OECTs containing the model electroactive bacterium Shewanella oneidensis that enable the transduction of biological computations to electrical responses. Specifically, we fabricated planar p-type OECTs and demonstrated that channel de-doping is driven by extracellular electron transfer (EET) from S. oneidensis. Leveraging this mechanistic understanding and our ability to control EET flux via transcriptional regulation, we used plasmid-based Boolean logic gates to translate biological computation into current changes within the OECT. Finally, we demonstrated EET-driven changes to OECT synaptic plasticity. This work enables fundamental EET studies and OECT-based biosensing and biocomputing systems with genetically controllable and modular design elements.

Date: 2024
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DOI: 10.1038/s41467-024-45759-1

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