Revealr-Based Diagnostic Panel for Rapid Detection of Acute Respiratory Infections.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2024-12-20 Epub Date: 2024-12-04 DOI:10.1021/acssynbio.4c00644
Daniel N Schuder, Nhi D Lu, John C Chaput
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引用次数: 0

Abstract

RNA-encoded viral nucleic acid analyte reporter (REVEALR) is a rapid and highly sensitive point-of-care diagnostic developed for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection, genotyping, and quantification. Here, we extend the breadth of this nucleic acid technology to include a viral respiratory panel that can detect low attomolar levels of influenza A (IAV), influenza B (IBV), SARS-CoV-2 (CoV2), and the respiratory syncytial virus (RSV). Of 39 clinical samples collected at the UCI Medical Center in Orange, California, the extended REVEALR panel showed a positive predictive agreement and negative predictive agreement of 100% for IAV, CoV2, and RSV in sequence-verified clinical samples, with 0 false positive results. Additionally, REVEALR was able to detect a synthetic IBV genome and precisely identify the viruses from clinical samples that were combined to simulate a patient infected with more than one virus. Together, these results demonstrate that the REVEALR respiratory panel provides a valuable diagnostic for identifying the pathogens responsible for causing lower respiratory infections that pose serious healthcare challenges in the United States.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
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.
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