Translating CRISPR-based Diagnostics to the Clinical Use: Strategies for Practical, Amplification-free Platform

Recent advances in molecular diagnostics enable precise and objective identification of pathogens at the molecular level.Among these, the CRISPR (clustered regularly interspaced short palindromic repeats)-Cas system, in particular, is rapidly emerging as a next-generation molecular diagnostic platform, due to its inherent specificity and programmability.However, constraints in guide RNA (guide ribonucleic acid, gRNA) design, including PAM (protospacer adjacent motif) site requirements and target secondary structure considerations, and insufficient sensitivity continue to hinder its clinical implementation.This review provides a comprehensive overview of CRISPR-based diagnostics for both DNA and RNA targets, with a focus on strategies to overcome PAM constraints, improve target accessibility, and reduce the dependence on pre-amplification.Furthermore, we propose prospective avenues for enhancement, including the integration of sample pretreatment, deep learning-guided gRNA design, and the advancement of multiplexing systems.These advances are expected to accelerate the application of CRISPR diagnostic systems from laboratory research tools into practical clinical platforms, facilitating rapid and effective responses to emerging infectious diseases.

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Publication Details

Journal
KSBB Journal
Published
2026-06-30
DOI
https://doi.org/10.7841/ksbbj.2026.41.2.129
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Translating CRISPR-based Diagnostics to the Clinical Use: Strategies for Practical, Amplification-free Platform

Dae Young Shim, Jeong Wook Lee, Doeon Sung, Jiyoung Park
KSBB Journal
CRISPR and Genetic Engineering
article

Translating CRISPR-based Diagnostics to the Clinical Use: Strategies for Practical, Amplification-free Platform

Dae Young Shim, Jeong Wook Lee, Doeon Sung, Jiyoung Park
article en

Abstract

Recent advances in molecular diagnostics enable precise and objective identification of pathogens at the molecular level.Among these, the CRISPR (clustered regularly interspaced short palindromic repeats)-Cas system, in particular, is rapidly emerging as a next-generation molecular diagnostic platform, due to its inherent specificity and programmability.However, constraints in guide RNA (guide ribonucleic acid, gRNA) design, including PAM (protospacer adjacent motif) site requirements and target secondary structure considerations, and insufficient sensitivity continue to hinder its clinical implementation.This review provides a comprehensive overview of CRISPR-based diagnostics for both DNA and RNA targets, with a focus on strategies to overcome PAM constraints, improve target accessibility, and reduce the dependence on pre-amplification.Furthermore, we propose prospective avenues for enhancement, including the integration of sample pretreatment, deep learning-guided gRNA design, and the advancement of multiplexing systems.These advances are expected to accelerate the application of CRISPR diagnostic systems from laboratory research tools into practical clinical platforms, facilitating rapid and effective responses to emerging infectious diseases.

KSBB JournalVol. 41(2)
Pohang University of Science and Technology (KR)
National Research Foundation, Ministry of Health and Welfare, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 11%
CRISPR and Genetic Engineering
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