Skip to main navigation Skip to search Skip to main content

CRISPR-based systems for sensitive and rapid on-site COVID-19 diagnostics

  • Jun Hui Soh
  • , Enrique Balleza
  • , Muhammad Nadjad Abdul Rahim
  • , Hsi Min Chan
  • , Siswand Mohd Ali
  • , Jacqueline Kai Chin Chuah
  • , Sherif Edris
  • , Ahmed Atef
  • , Ahmed Bahieldin
  • , Jackie Y. Ying*
  • , Jamal S.M. Sabir
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

52 Scopus citations

Abstract

The COVID-19 pandemic has strained healthcare systems. Sensitive, specific, and timely COVID-19 diagnosis is crucial for effective medical intervention and transmission control. RT-PCR is the most sensitive/specific, but requires costly equipment and trained personnel in centralized laboratories, which are inaccessible to resource-limited areas. Antigen rapid tests enable point-of-care (POC) detection but are significantly less sensitive/specific. CRISPR-Cas systems are compatible with isothermal amplification and dipstick readout, enabling sensitive/specific on-site testing. However, improvements in sensitivity and workflow complexity are needed to spur clinical adoption. We outline the mechanisms/strategies of major CRISPR-Cas systems, evaluate their on-site diagnostic capabilities, and discuss future research directions.

Original languageEnglish
Pages (from-to)1346-1360
Number of pages15
JournalTrends in Biotechnology
Volume40
Issue number11
DOIs
StatePublished - Nov 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Ltd

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • CRISPR-Cas
  • Cas12/13
  • RNA/DNA detection
  • diagnostics
  • infectious diseases
  • point-of-care

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering

Fingerprint

Dive into the research topics of 'CRISPR-based systems for sensitive and rapid on-site COVID-19 diagnostics'. Together they form a unique fingerprint.

Cite this