Cargando…

A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics

The pandemic of coronavirus disease 2019 (COVID-19) resulted from novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a worldwide concern. It is imperative to develop rapid, sensitive, and specific biosensing methods. Herein, we developed a CRISPR-Cas12a powered visual bios...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Long, Yin, Lijuan, Li, Xiaoyan, Chen, Si, Peng, Lei, Liu, Guozhen, Ye, Shengying, Zhang, Wenlu, Man, Shuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457901/
https://www.ncbi.nlm.nih.gov/pubmed/34624801
http://dx.doi.org/10.1016/j.bios.2021.113646
_version_ 1784571203976953856
author Ma, Long
Yin, Lijuan
Li, Xiaoyan
Chen, Si
Peng, Lei
Liu, Guozhen
Ye, Shengying
Zhang, Wenlu
Man, Shuli
author_facet Ma, Long
Yin, Lijuan
Li, Xiaoyan
Chen, Si
Peng, Lei
Liu, Guozhen
Ye, Shengying
Zhang, Wenlu
Man, Shuli
author_sort Ma, Long
collection PubMed
description The pandemic of coronavirus disease 2019 (COVID-19) resulted from novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a worldwide concern. It is imperative to develop rapid, sensitive, and specific biosensing methods. Herein, we developed a CRISPR-Cas12a powered visual biosensor with a smartphone readout for ultrasensitive and selective detection of SARS-CoV-2. Simply, the SARS-CoV-2 derived nucleic acids triggered CRISPR-Cas12a based indiscriminate degradation of a single-stranded DNA that was supposed to link two gold nanoparticles, inducing the dis-aggregation of gold nanoparticles and thus generating observable color changes. This change can be readily distinguished by naked eyes as well as a smartphone with a Color Picker App. The proposed biosensor was successfully applied to detect SARS-CoV-2 gene in synthetic vectors, transcribed RNA and SARS-CoV-2 pseudoviruses. It rendered “single copy resolution” as evidenced by the 1 copy/μL limit of detection of pseudoviruses with no cross-reactivity. When the developed biosensor was challenged with SARS-CoV-2 clinical bio-samples, it provided 100% agreement (both positive and negative) with qPCR results. The sample-to-result time was roughly 90 min. Our work provides a novel and robust technology for ultrasensitive detection of SARS-CoV-2 that could be used clinically.
format Online
Article
Text
id pubmed-8457901
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-84579012021-09-23 A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics Ma, Long Yin, Lijuan Li, Xiaoyan Chen, Si Peng, Lei Liu, Guozhen Ye, Shengying Zhang, Wenlu Man, Shuli Biosens Bioelectron Article The pandemic of coronavirus disease 2019 (COVID-19) resulted from novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a worldwide concern. It is imperative to develop rapid, sensitive, and specific biosensing methods. Herein, we developed a CRISPR-Cas12a powered visual biosensor with a smartphone readout for ultrasensitive and selective detection of SARS-CoV-2. Simply, the SARS-CoV-2 derived nucleic acids triggered CRISPR-Cas12a based indiscriminate degradation of a single-stranded DNA that was supposed to link two gold nanoparticles, inducing the dis-aggregation of gold nanoparticles and thus generating observable color changes. This change can be readily distinguished by naked eyes as well as a smartphone with a Color Picker App. The proposed biosensor was successfully applied to detect SARS-CoV-2 gene in synthetic vectors, transcribed RNA and SARS-CoV-2 pseudoviruses. It rendered “single copy resolution” as evidenced by the 1 copy/μL limit of detection of pseudoviruses with no cross-reactivity. When the developed biosensor was challenged with SARS-CoV-2 clinical bio-samples, it provided 100% agreement (both positive and negative) with qPCR results. The sample-to-result time was roughly 90 min. Our work provides a novel and robust technology for ultrasensitive detection of SARS-CoV-2 that could be used clinically. Elsevier B.V. 2022-01-01 2021-09-23 /pmc/articles/PMC8457901/ /pubmed/34624801 http://dx.doi.org/10.1016/j.bios.2021.113646 Text en © 2021 Elsevier B.V. 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
Ma, Long
Yin, Lijuan
Li, Xiaoyan
Chen, Si
Peng, Lei
Liu, Guozhen
Ye, Shengying
Zhang, Wenlu
Man, Shuli
A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics
title A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics
title_full A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics
title_fullStr A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics
title_full_unstemmed A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics
title_short A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics
title_sort smartphone-based visual biosensor for crispr-cas powered sars-cov-2 diagnostics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457901/
https://www.ncbi.nlm.nih.gov/pubmed/34624801
http://dx.doi.org/10.1016/j.bios.2021.113646
work_keys_str_mv AT malong asmartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT yinlijuan asmartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT lixiaoyan asmartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT chensi asmartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT penglei asmartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT liuguozhen asmartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT yeshengying asmartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT zhangwenlu asmartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT manshuli asmartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT malong smartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT yinlijuan smartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT lixiaoyan smartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT chensi smartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT penglei smartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT liuguozhen smartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT yeshengying smartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT zhangwenlu smartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics
AT manshuli smartphonebasedvisualbiosensorforcrisprcaspoweredsarscov2diagnostics