Sungho Kim, Hwi Hyun, Jae-Kyeong Im, Min Seok Lee, Hwasoo Koh, Donghoon Kang, Si-Hyeong Nho, Joo H Kang, Taejoon Kwon, Hajin Kim
{"title":"Fast and accurate multi-bacterial identification using cleavable and FRET-based peptide nucleic acid probes.","authors":"Sungho Kim, Hwi Hyun, Jae-Kyeong Im, Min Seok Lee, Hwasoo Koh, Donghoon Kang, Si-Hyeong Nho, Joo H Kang, Taejoon Kwon, Hajin Kim","doi":"10.1016/j.bios.2024.116950","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"271 ","pages":"116950"},"PeriodicalIF":10.7000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosensors and Bioelectronics","FirstCategoryId":"1","ListUrlMain":"https://doi.org/10.1016/j.bios.2024.116950","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/22 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.