Litcius/Paper detail

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, Benjamin K. Keitz

2024Nature Communications22 citationsDOIOpen Access PDF

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.

Topics & Concepts

BioelectronicsModular designNeuromorphic engineeringBiosensorNanotechnologySynthetic biologyTransistorComputer scienceShewanella oneidensisBiologyComputational biologyMaterials scienceArtificial intelligenceEngineeringElectrical engineeringVoltageArtificial neural networkGeneticsOperating systemBacteriaElectrochemical Analysis and ApplicationsAdvanced Memory and Neural ComputingNeuroscience and Neural Engineering