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A Hybrid Transistor with Transcriptionally Controlled Computation and Plasticity
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 interf...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462107/ https://www.ncbi.nlm.nih.gov/pubmed/37645977 http://dx.doi.org/10.1101/2023.08.16.553547 |
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author | Gao, Yang Zhou, Yuchen Ji, Xudong Graham, Austin J. Dundas, Christopher M. Mahfoud, Ismar E. Miniel Tibbett, Bailey M. Tan, Benjamin Partipilo, Gina Dodabalapur, Ananth Rivnay, Jonathan Keitz, Benjamin K. |
author_facet | Gao, Yang Zhou, Yuchen Ji, Xudong Graham, Austin J. Dundas, Christopher M. Mahfoud, Ismar E. Miniel Tibbett, Bailey M. Tan, Benjamin Partipilo, Gina Dodabalapur, Ananth Rivnay, Jonathan Keitz, Benjamin K. |
author_sort | Gao, Yang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10462107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-104621072023-08-29 A Hybrid Transistor with Transcriptionally Controlled Computation and Plasticity Gao, Yang Zhou, Yuchen Ji, Xudong Graham, Austin J. Dundas, Christopher M. Mahfoud, Ismar E. Miniel Tibbett, Bailey M. Tan, Benjamin Partipilo, Gina Dodabalapur, Ananth Rivnay, Jonathan Keitz, Benjamin K. bioRxiv Article 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. Cold Spring Harbor Laboratory 2023-08-18 /pmc/articles/PMC10462107/ /pubmed/37645977 http://dx.doi.org/10.1101/2023.08.16.553547 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Gao, Yang Zhou, Yuchen Ji, Xudong Graham, Austin J. Dundas, Christopher M. Mahfoud, Ismar E. Miniel Tibbett, Bailey M. Tan, Benjamin Partipilo, Gina Dodabalapur, Ananth Rivnay, Jonathan Keitz, Benjamin K. A Hybrid Transistor with Transcriptionally Controlled Computation and Plasticity |
title | A Hybrid Transistor with Transcriptionally Controlled Computation and Plasticity |
title_full | A Hybrid Transistor with Transcriptionally Controlled Computation and Plasticity |
title_fullStr | A Hybrid Transistor with Transcriptionally Controlled Computation and Plasticity |
title_full_unstemmed | A Hybrid Transistor with Transcriptionally Controlled Computation and Plasticity |
title_short | A Hybrid Transistor with Transcriptionally Controlled Computation and Plasticity |
title_sort | hybrid transistor with transcriptionally controlled computation and plasticity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462107/ https://www.ncbi.nlm.nih.gov/pubmed/37645977 http://dx.doi.org/10.1101/2023.08.16.553547 |
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