Dalia Jane Saldanha, Simon James Alexander Rowat, Henry Stephenson and Noémie-Manuelle Dorval Courchesne*,
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引用次数: 0
Abstract
Smart textiles that integrate multiple environmental sensing capabilities are an emerging frontier in wearable technology. In this study, we developed dual pH- and temperature-responsive textiles by combining engineered bacterial systems with bacterially derived proteins. For temperature sensing, we characterized the properties of a heat sensitive promoter, Phs, in Escherichia coli (E. coli) using enhanced green fluorescent protein as a reporter. Our findings demonstrate that the Phs promoter drives elevated gene expression at temperatures between 37 and 43 °C, maintaining sustained activity for several hours. Moreover, we found that short heat shocks can significantly boost expression levels of the Phs promoter. We successfully integrated E. coli expressing Phs-EGFP cells onto textiles and confirmed their ability to retain heat-responsive behavior after integration. To achieve pH responsiveness, we utilized curli fibers, genetically engineered to incorporate a pH-sensitive fluorescent protein, pHuji. pH-sensing curli fibers are bacterial proteins that have a proven track record of creating stable bioresponsive textile coatings. By embedding Phs-EGFP-expressing bacteria within curli fiber coatings, we created a dual-responsive textile capable of differentiating between acidic and alkaline environments while simultaneously responding to thermal stimuli. These multifunctional textiles exhibited dual environmental response and sensing capabilities. This work establishes a proof-of-concept for creating smart living textiles with modular functionalities, paving the way toward advanced bioresponsive materials.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.