Design of A Biohybrid Materials Circuit with Binary Decoder Functionality.

design-build-test-learn information-processing materials mathematical modelling proteases stimuli-responsive materials synthetic biology

Journal

Advanced materials (Deerfield Beach, Fla.)
ISSN: 1521-4095
Titre abrégé: Adv Mater
Pays: Germany
ID NLM: 9885358

Informations de publication

Date de publication:
20 Dec 2023
Historique:
revised: 05 12 2023
received: 10 08 2023
medline: 20 12 2023
pubmed: 20 12 2023
entrez: 20 12 2023
Statut: aheadofprint

Résumé

Synthetic biology applies concepts from electrical engineering and information processing to endow cells with computational functionality. Transferring the underlying molecular components into materials and wiring them according to topologies inspired by electronic circuit boards has yielded materials systems that perform selected computational operations. However, the limited functionality of available building blocks is restricting the implementation of advanced information-processing circuits into materials. Here, we engineer a set of protease-based biohybrid modules the bioactivity of which can either be induced or inhibited. Guided by a quantitative mathematical model and following a design-build-test-learn cycle, we wire the modules according to circuit topologies inspired by electronic signal decoders, a fundamental motif in information processing. We design a 2-input/4-output binary decoder for the detection of two small molecules in a material framework that could perform regulated outputs in form of distinct protease activities. The here demonstrated smart material system is strongly modular and could be used for biomolecular information processing for example in advanced biosensing or drug delivery applications. This article is protected by copyright. All rights reserved.

Identifiants

pubmed: 38118057
doi: 10.1002/adma.202308092
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2308092

Informations de copyright

This article is protected by copyright. All rights reserved.

Auteurs

Hasti Mohsenin (H)

Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Schänzlestraße 18, 79104, Freiburg, Germany.
INM - Leibniz Institute for New Materials, Campus D2 2, 66123, Saarbrücken, Germany.
Faculty of Biology, University of Freiburg, Schänzlestraße 1, 79104, Freiburg, Germany.

Hanna J Wagner (HJ)

Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Schänzlestraße 18, 79104, Freiburg, Germany.
Faculty of Biology, University of Freiburg, Schänzlestraße 1, 79104, Freiburg, Germany.
Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Albertstraße 19a, 79104, Freiburg, Germany.

Marcus Rosenblatt (M)

Institute of Physics and Freiburg Center for Data Analysis and Modelling (FDM), University of Freiburg, Hermann-Herder-Straße 3, 79104, Freiburg, Germany.

Svenja Kemmer (S)

Faculty of Biology, University of Freiburg, Schänzlestraße 1, 79104, Freiburg, Germany.
Institute of Physics and Freiburg Center for Data Analysis and Modelling (FDM), University of Freiburg, Hermann-Herder-Straße 3, 79104, Freiburg, Germany.

Friedel Drepper (F)

Faculty of Biology, University of Freiburg, Schänzlestraße 1, 79104, Freiburg, Germany.

Pitter Huesgen (P)

Faculty of Biology, University of Freiburg, Schänzlestraße 1, 79104, Freiburg, Germany.
CIBSS - Centre for Integrative Biological Signalling Studies, University of Freiburg, Schänzlestraße 18, 79104, Freiburg, Germany.

Jens Timmer (J)

Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Schänzlestraße 18, 79104, Freiburg, Germany.
Institute of Physics and Freiburg Center for Data Analysis and Modelling (FDM), University of Freiburg, Hermann-Herder-Straße 3, 79104, Freiburg, Germany.

Wilfried Weber (W)

Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Schänzlestraße 18, 79104, Freiburg, Germany.
INM - Leibniz Institute for New Materials, Campus D2 2, 66123, Saarbrücken, Germany.
Faculty of Biology, University of Freiburg, Schänzlestraße 1, 79104, Freiburg, Germany.
Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Albertstraße 19a, 79104, Freiburg, Germany.
Saarland University, Department of Materials Science and Engineering, Campus D2 2, 66123, Saarbrücken, Germany.

Classifications MeSH