Michael Brasino, Eli Wagnell, Elise C Manalo, Samuel Drennan, Jared M Fischer, Justin Merritt
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引用次数: 0
Abstract
Lung cancer is exceedingly difficult and costly to detect early, leading to delayed diagnosis, limited treatment options, and high patient mortality. Tumor-secreted molecules are useful in identifying early disease but are difficult to detect when diluted in accessible bodily fluids. Here, we demonstrate a low-cost, minimally invasive method to probe the lungs for disease using genetically engineered Lactiplantibacillus plantarum bacteria as living biosensors. When delivered to the lungs of mice, the engineered bacteria remained transcriptionally active for several hours and were cleared without colonization. Nanoluciferase secreted by bacteria from within the lungs was subsequently detected in mouse urine. Bacteria were engineered to secrete nanoluciferase in response to a model peptide excreted by a mouse lung cancer cell line, allowing the bacteria to detect tumors formed from these cells in the lungs of mice. Finally, biosensor bacteria were also able to detect a secreted protease overexpressed in adenocarcinoma using a probe protein that is cleaved to release a bacterial pheromone peptide. These results indicate that genetically engineered commensal bacteria yield tremendous promise as living biosensors for early detection screens of lung cancer.
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.