Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1784821050158088192 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9618441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT liuweiliang onebyonesinglemoleculecountingmethodfordigitalquantificationofsarscov2rna AT chendesheng onebyonesinglemoleculecountingmethodfordigitalquantificationofsarscov2rna AT pianhongru onebyonesinglemoleculecountingmethodfordigitalquantificationofsarscov2rna AT sufengxia onebyonesinglemoleculecountingmethodfordigitalquantificationofsarscov2rna AT wanghui onebyonesinglemoleculecountingmethodfordigitalquantificationofsarscov2rna AT zhangpengbo onebyonesinglemoleculecountingmethodfordigitalquantificationofsarscov2rna AT lizhengping onebyonesinglemoleculecountingmethodfordigitalquantificationofsarscov2rna |