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One-by-one single-molecule counting method for digital quantification of SARS-CoV-2 RNA

Digital counting individual nucleic acid molecule is of great significance for fundamental biological research and accurate diagnosis of genetic diseases, which is hard to achieve with existing single-molecule detection technologies. Herein, we report a novel one-by-one single-molecule counting meth...

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Detalles Bibliográficos
Autores principales: Liu, Weiliang, Chen, Desheng, Pian, Hongru, Su, Fengxia, Wang, Hui, Zhang, Pengbo, Li, Zhengping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618441/
https://www.ncbi.nlm.nih.gov/pubmed/36340244
http://dx.doi.org/10.1016/j.nantod.2022.101664
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author Liu, Weiliang
Chen, Desheng
Pian, Hongru
Su, Fengxia
Wang, Hui
Zhang, Pengbo
Li, Zhengping
author_facet Liu, Weiliang
Chen, Desheng
Pian, Hongru
Su, Fengxia
Wang, Hui
Zhang, Pengbo
Li, Zhengping
author_sort Liu, Weiliang
collection PubMed
description Digital counting individual nucleic acid molecule is of great significance for fundamental biological research and accurate diagnosis of genetic diseases, which is hard to achieve with existing single-molecule detection technologies. Herein, we report a novel one-by-one single-molecule counting method for digital quantification of SARS-Cov-2 RNA. This method uses one fluorescent micromotor functionalized with peptide nucleic acids (PNAs) to specially capture one target RNA molecule. The RNA-micromotors can be propelled by the electric field to target district and accurately counted. Moreover, the method can also clearly discriminate one-base mutation in the target RNAs, indicating the great potential for clinical diagnostics and virus traceability survey.
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spelling pubmed-96184412022-10-31 One-by-one single-molecule counting method for digital quantification of SARS-CoV-2 RNA Liu, Weiliang Chen, Desheng Pian, Hongru Su, Fengxia Wang, Hui Zhang, Pengbo Li, Zhengping Nano Today Article Digital counting individual nucleic acid molecule is of great significance for fundamental biological research and accurate diagnosis of genetic diseases, which is hard to achieve with existing single-molecule detection technologies. Herein, we report a novel one-by-one single-molecule counting method for digital quantification of SARS-Cov-2 RNA. This method uses one fluorescent micromotor functionalized with peptide nucleic acids (PNAs) to specially capture one target RNA molecule. The RNA-micromotors can be propelled by the electric field to target district and accurately counted. Moreover, the method can also clearly discriminate one-base mutation in the target RNAs, indicating the great potential for clinical diagnostics and virus traceability survey. Elsevier Ltd. 2022-12 2022-10-31 /pmc/articles/PMC9618441/ /pubmed/36340244 http://dx.doi.org/10.1016/j.nantod.2022.101664 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Liu, Weiliang
Chen, Desheng
Pian, Hongru
Su, Fengxia
Wang, Hui
Zhang, Pengbo
Li, Zhengping
One-by-one single-molecule counting method for digital quantification of SARS-CoV-2 RNA
title One-by-one single-molecule counting method for digital quantification of SARS-CoV-2 RNA
title_full One-by-one single-molecule counting method for digital quantification of SARS-CoV-2 RNA
title_fullStr One-by-one single-molecule counting method for digital quantification of SARS-CoV-2 RNA
title_full_unstemmed One-by-one single-molecule counting method for digital quantification of SARS-CoV-2 RNA
title_short One-by-one single-molecule counting method for digital quantification of SARS-CoV-2 RNA
title_sort one-by-one single-molecule counting method for digital quantification of sars-cov-2 rna
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618441/
https://www.ncbi.nlm.nih.gov/pubmed/36340244
http://dx.doi.org/10.1016/j.nantod.2022.101664
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