Your browser doesn't support javascript.
Detection and differentiation of respiratory syncytial virus subgroups A and B with colorimetric toehold switch sensors in a paper-based cell-free system.
Cao, Mengcen; Sun, Qiuli; Zhang, Xu; Ma, Yi; Wang, Jufang.
  • Cao M; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.
  • Sun Q; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.
  • Zhang X; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.
  • Ma Y; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.
  • Wang J; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China. Electronic address: jufwang@scut.edu.cn.
Biosens Bioelectron ; 182: 113173, 2021 Jun 15.
Article in English | MEDLINE | ID: covidwho-1152282
ABSTRACT
Respiratory syncytial virus (RSV) infection is the most common clinical infectious disease threatening the safety of human life. Herein, we provided a sensitive and specific method for detection and differentiation of RSV subgroups A (RSVA) and B (RSVB) with colorimetric toehold switch sensors in a paper-based cell-free system. In this method, we applied the toehold switch, an RNA-based riboswitch, to regulate the translation level of ß-galactosidase (lacZ) gene. In the presence of target trigger RNA, the toehold switch sensor was activated and the expressed LacZ hydrolyzed chromogenic substrates to produce a colorimetric result that can be observed directly with the naked eye in a cell-free system. In addition, nucleic acid sequence-based amplification (NASBA) was used to improve the sensitivity by amplifying target trigger RNAs. Under optimal conditions, our method produced a visible result for the detection of RSVA and RSVB with the detection limit of 52 aM and 91 aM, respectively. The cross-reaction of this method was validated with other closely related respiratory viruses, including human coronavirus HKU1 (HCoV-HKU1), and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Furthermore, we used the paper-based carrier material that allows stable storage of our detection elements and rapid detection outside laboratory. In conclusion, this method can sensitively and specifically differentiate RSVA and RSVB and generate a visible colorimetric result without specialized operators and sophisticated equipment. Based on these advantages above, this method serves as a simple and portable detector in resource-poor areas and point-of-care testing (POCT) scenarios.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Cell-Free System / Respiratory Syncytial Virus, Human / Colorimetry Type of study: Diagnostic study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2021 Document Type: Article Affiliation country: J.bios.2021.113173

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Cell-Free System / Respiratory Syncytial Virus, Human / Colorimetry Type of study: Diagnostic study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2021 Document Type: Article Affiliation country: J.bios.2021.113173