CLEVER assay: A visual and rapid RNA extraction-free detection of SARS-CoV-2 based on CRISPR-Cas integrated RT-LAMP technology.


Journal

Journal of applied microbiology
ISSN: 1365-2672
Titre abrégé: J Appl Microbiol
Pays: England
ID NLM: 9706280

Informations de publication

Date de publication:
Aug 2022
Historique:
revised: 05 04 2022
received: 10 12 2021
accepted: 06 04 2022
pubmed: 10 4 2022
medline: 10 8 2022
entrez: 9 4 2022
Statut: ppublish

Résumé

The current scenario of COVID-19 pandemic has presented an almost insurmountable challenge even for the most sophisticated hospitals equipped with modern biomedical technology. There is an urgency to develop simple, fast and highly accurate methods for the rapid identification and isolation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infected patients. To address the ongoing challenge, the present study offers a CLEVER assay (CRISPR-Cas integrated RT-LAMP Easy, Visual and Extraction-free RNA) which will allow RNA extraction-free method to visually diagnose COVID-19. RNA extraction is a major hurdle in preventing rapid and large-scale screening of samples particularly in low-resource regions because of the logistics and costs involved. Herein, the visual SARS-CoV-2 detection method consists of RNA extraction-free method directly utilizing the patient's nasopharyngeal and oropharyngeal samples for reverse transcription loop-mediated isothermal amplification (RT-LAMP). Additionally, the assay also utilizes the integration of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas12-based system using different guide RNAs of N, E and an internal control POP7 (human RNase P) genes along with visual detection via lateral flow readout-based dip sticks with unaided eye (~100 min). Overall, the clinical sensitivity and specificity of the CLEVER assay were 89.6% and 100%, respectively. Together, our CLEVER assay offers a point-of-care tool with no equipment dependency and minimum technical expertise requirement for COVID-19 diagnosis. To address the challenges associated with COVID-19 diagnosis, we need a faster, direct and more versatile detection method for an efficient epidemiological management of the COVID-19 outbreak. The present study involves developing a method for detection of SARS-CoV-2 in human body without RNA isolation step that can visually be detected with unaided eye. Taken together, our assay offers to overcome one major defect of the prior art, that is, RNA extraction step, which could limit the deployment of the previous assays in a testing site having limited lab infrastructure.

Identifiants

pubmed: 35396760
doi: 10.1111/jam.15571
pmc: PMC9111511
doi:

Substances chimiques

RNA, Viral 0
RNA 63231-63-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

410-421

Subventions

Organisme : Board of Research in Nuclear Sciences
ID : BRNS/37080

Informations de copyright

© 2022 Society for Applied Microbiology.

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Auteurs

Akansha Bhatt (A)

Amity Institute of Biotechnology, Amity University Haryana, Gurugram, Haryana, India.

Zeeshan Fatima (Z)

Amity Institute of Biotechnology, Amity University Haryana, Gurugram, Haryana, India.

Munindra Ruwali (M)

Amity Institute of Biotechnology, Amity University Haryana, Gurugram, Haryana, India.

Chitra Seetharam Misra (CS)

CRISPR Biology Group, Applied Genomics Section, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India.

Shyam Sunder Rangu (SS)

CRISPR Biology Group, Applied Genomics Section, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India.

Devashish Rath (D)

CRISPR Biology Group, Applied Genomics Section, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India.

Ashok Rattan (A)

Pathkind Labs, Gurugram, Haryana, India.

Saif Hameed (S)

Amity Institute of Biotechnology, Amity University Haryana, Gurugram, Haryana, India.

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Classifications MeSH