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Rapid, field-deployable nucleobase detection and identification using FnCas9

Authors :
Souvik Maiti
Meghali Aich
Mohd Azhar
Govind K. Makharia
Khushboo Singhal
Dipanjali Sinha
Harsha Lad
Manoj Kumar
Debojyoti Chakraborty
Giriraj R. Chandak
Saumya Sharma
Pradeep Kumar Patra
Rhythm Phutela
Namrata Sharma
Asgar Hussain Ansari
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Detection of pathogenic sequences or variants in DNA and RNA through a point-of-care diagnostic approach is valuable for rapid clinical prognosis. In recent times, CRISPR based detection of nucleic acids has provided an economical and quicker alternative to sequencing-based platforms which are often difficult to implement in the field. Here, we present FnCas9 Editor Linked Uniform Detection Assay (FELUDA) that employs a highly accurate enzymatic readout for detecting nucleotide sequences, identifying nucleobase identity and inferring zygosity with precision. We demonstrate that FELUDA output can be adapted to multiple signal detection platforms and can be quickly designed and deployed for versatile applications including rapid diagnosis during infectious disease outbreaks like COVID-19.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....cfaaf09191c0e03a1d1857f4cd4a52e7
Full Text :
https://doi.org/10.1101/2020.04.07.028167