Fast and accurate multi-bacterial identification using cleavable and FRET-based peptide nucleic acid probes.

IF 10.7 1区 生物学 Q1 BIOPHYSICS
Biosensors and Bioelectronics Pub Date : 2025-03-01 Epub Date: 2024-11-22 DOI:10.1016/j.bios.2024.116950
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.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Biosensors and Bioelectronics
Biosensors and Bioelectronics 工程技术-电化学
CiteScore
20.80
自引率
7.10%
发文量
1006
审稿时长
29 days
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信