Yuli Peng, Atheer Alqatari, Fabian Kiessling, Dominik Renn, Raik Grünberg, Stefan T Arold, Magnus Rueping
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引用次数: 0
Abstract
Zika virus infections remain severely underdiagnosed due to their initial mild clinical symptoms. However, recent outbreaks have revealed neurological complications in adults and severe deformities in newborns, emphasizing the critical need for accurate diagnosis. Lateral flow assays (LFAs) provide a rapid, cost-effective, and user-friendly method for antigen testing at point-of-care, bedside, or in home settings. LFAs utilizing nanobodies have multiple benefits over traditional antibody-based techniques, as nanobodies are much smaller, more stable, and simpler to manufacture. We introduce a nanobody-based LFA for the rapid identification of Zika virus antigens. Starting from two previously reported nanobodies recognizing the Zika nonstructural protein 1 (NS1), we evaluate periplasmic and cytosolic nanobody expression and test different purification tags and immobilization strategies. We quantify nanobody binding kinetics and validate their mutually noncompetitive binding. Avidity effects boost the capture of the tetrameric target protein by 3 orders of magnitude and point to a general strategy for higher sensitivity LFA sensing. The nanobody LFA detects Zika NS1 with a limit of detection ranging from 25 ng/mL in buffer to 1 ng/mL in urine. This nanobody-LFA has the potential to facilitate on-site and self-diagnosis, improve our understanding of Zika infection prevalence, and support public health initiatives in regions affected by Zika virus outbreaks.
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.