Functional decoupling of crRNA enables customizable CRISPR diagnostics

One-pot CRISPR-based diagnostics have transformed nucleic acid testing, yet their design customizability remains constrained. Because target programming and cis-cleavage activity are simultaneously determined during CRISPR RNA (crRNA) design, optimizing cleavage activity to match isothermal amplification inevitably requires altering the programmed crRNA sequence. This requirement fundamentally constrains the range of compatible target sequences, imposing limitations on the flexible design of diagnostic assays. Here, we establish a customizable one-pot system by decoupling the dual functions inherent in crRNA design to enable their independent control. In this strategy, target programming remains defined by the crRNA sequence, whereas cis-cleavage activity is regulated by the reaction energy barrier. We selectively modulate this energy barrier through the introduction of a crRNA-complementary RNA oligonucleotide, achieving cleavage regulation without altering the crRNA sequence. Consequently, this approach ensures that cis-cleavage activity matches isothermal amplification conditions independent of the programmed target sequence, thereby realizing a customizable CRISPR diagnostic system. We validated the clinical applicability of this system using 120 patient-derived samples, achieving sensitivity and specificity comparable to quantitative polymerase chain reaction. Collectively, this work resolves a fundamental constraint of CRISPR diagnostics and establishes a customizable and clinically deployable platform for next-generation nucleic acid testing.

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Publication Details

Journal
Nucleic Acids Research
Published
2026-02-23
DOI
https://doi.org/10.1093/nar/gkag189
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Functional decoupling of crRNA enables customizable CRISPR diagnostics

Jiyoung Yun, Jee Hyeon Kim, K.S. Lee, Hyungbin Park et al.
Nucleic Acids Research
CRISPR and Genetic Engineering
article

Functional decoupling of crRNA enables customizable CRISPR diagnostics

Jiyoung Yun, Jee Hyeon Kim, K.S. Lee, Hyungbin Park, Ji-Ho Park, Hoyeon Lee, Jun Hyeok Park, Min-Gon Kim, Yeo-Jin Park
article en

Abstract

One-pot CRISPR-based diagnostics have transformed nucleic acid testing, yet their design customizability remains constrained. Because target programming and cis-cleavage activity are simultaneously determined during CRISPR RNA (crRNA) design, optimizing cleavage activity to match isothermal amplification inevitably requires altering the programmed crRNA sequence. This requirement fundamentally constrains the range of compatible target sequences, imposing limitations on the flexible design of diagnostic assays. Here, we establish a customizable one-pot system by decoupling the dual functions inherent in crRNA design to enable their independent control. In this strategy, target programming remains defined by the crRNA sequence, whereas cis-cleavage activity is regulated by the reaction energy barrier. We selectively modulate this energy barrier through the introduction of a crRNA-complementary RNA oligonucleotide, achieving cleavage regulation without altering the crRNA sequence. Consequently, this approach ensures that cis-cleavage activity matches isothermal amplification conditions independent of the programmed target sequence, thereby realizing a customizable CRISPR diagnostic system. We validated the clinical applicability of this system using 120 patient-derived samples, achieving sensitivity and specificity comparable to quantitative polymerase chain reaction. Collectively, this work resolves a fundamental constraint of CRISPR diagnostics and establishes a customizable and clinically deployable platform for next-generation nucleic acid testing.

Nucleic Acids ResearchVol. 54(5)
Gwangju Institute of Science and Technology (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Affordable and clean energy
Openalex Percentile: Top 36%
CRISPR and Genetic Engineering
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