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Towards the diagnosis of dengue virus and its serotypes using designed CRISPR/Cas13 gRNAs



Archana Prajapati*, AshmitaTandon* & Vikrant Nain#



School of Biotechnology, Gautam Buddha University, Greater Noida-201312, Uttar Pradesh, India; #Corresponding author,*Equal contribution



Archana Prajapati - E-mail: btphd2018003@gbu.ac.in
Vikrant Nain E-mail: vikrant@gbu.ac.in


Article Type

Research Article



Received July 2, 2022; Revised August 31, 2022; Accepted August 31, 2022, Published August 31, 2022



Dengue Virus (DENV) is a mosquito-borne virus that is prevalent in the world's tropical and subtropical regions. Therefore, early detection and surveillance can help in the management of this disease. Current diagnostic methods rely primarily on ELISA, PCR, and RT-PCR, among others, which can only be performed in specialized laboratories and require sophisticated instruments and technical expertise. CRISPR-based technologies on the other hand have field-deployable viral diagnostics capabilities that could be used in the development of point-of-care molecular diagnostics. The first step in the field of CRISPR-based virus diagnosis is to design and screen gRNAs for high efficiency and specificity. In the present study, we employed a bioinformatics approach to design and screen DENV CRISPR/Cas13 gRNAs for conserved and serotype-specific variable genomic regions in the DENV genome. We identified one gRNA sequence specific for each of the lncRNA and NS5 regions and identified one gRNA against each of DENV1, DENV2, DENV3, and DENV4 to distinguish the four DENV serotypes. These CRISPR/Cas13 gRNA sequences will be useful in diagnosing the dengue virus and its serotypes for in vitro validation and diagnostics.



Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR), Cas13, Dengue virus, serotypes, diagnosis, gRNA pool, secondary structure, free energy.



Prajapati et al. Bioinformation 18(8): 661-668 (2022)


Edited by

P Kangueane






Biomedical Informatics



This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.