Fast and accurate multi-bacterial identification using cleavable and FRET-based peptide nucleic acid probes.
Autor: | Kim S; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea., Hyun H; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea., Im JK; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea., Lee MS; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea., Koh H; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea., Kang D; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea., Nho SH; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea., Kang JH; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. Electronic address: jookang@unist.ac.kr., Kwon T; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea; Center for Genomic Integrity, Institute for Basic Science, Ulsan, 44919, Republic of Korea. Electronic address: tkwon@unist.ac.kr., Kim H; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea; Center for Genomic Integrity, Institute for Basic Science, Ulsan, 44919, Republic of Korea. Electronic address: hajinkim@unist.ac.kr. |
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Jazyk: | angličtina |
Zdroj: | Biosensors & bioelectronics [Biosens Bioelectron] 2024 Nov 22; Vol. 271, pp. 116950. Date of Electronic Publication: 2024 Nov 22. |
DOI: | 10.1016/j.bios.2024.116950 |
Abstrakt: | Fast and accurate identification of pathogenic microbes in patient samples is crucial for the timely treatment of acute infectious diseases such as sepsis. The fluorescence in situ hybridization (FISH) technique allows the rapid detection and identification of microbes based on their variation in genomic sequence without time-consuming culturing or sequencing. However, the recent explosion of microbial genomic data has made it challenging to design an appropriate set of probes for microbial mixtures. We developed a novel set of peptide nucleic acid (PNA)-based FISH probes with optimal target specificity by analyzing the variations in 16S ribosomal RNA sequence across all bacterial species. Owing to their superior penetration into bacteria and higher mismatch sensitivity, the PNA probes distinguished seven bacterial species commonly observed in bacteremia with 96-99.9% accuracy using our optimized FISH procedure. Detection based on Förster resonance energy transfer (FRET) between pairs of adjacent binding PNA probes eliminated crosstalk between species. Rapid sequential species identification was implemented, using chemically cleavable fluorophores, without compromising detection accuracy. Owing to their outstanding accuracy and enhanced speed, this set of techniques shows great potential for clinical use. Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests. (Copyright © 2024 Elsevier B.V. All rights reserved.) |
Databáze: | MEDLINE |
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