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Cell & bioscience · 2026

CRISPR diagnostics: from trans-nuclease activity to cancer diagnosis.

СтатьяОбзорНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Chang Lei, Xu Wenjue, Wang Xiaoyan, Xue Yuanyuan, Zhang Ying, Zhu Xuena, Zhang Yun, Liang Tingbo, Liu Wenjun

Аннотация

The field of nucleic acid-based testing experienced a decade-long stagnation since the development of quantitative polymerase chain reaction (qPCR) in 1992 and isothermal amplification methods in the early 2000s. However, in 2016, the discovery of trans-nuclease activity in CRISPR-Cas systems revolutionized the molecular diagnostics for nucleic acids. A typical CRISPR diagnostic workflow comprises three phases: (1) target recognition through CRISPR RNA (crRNA)-guided hybridization; (2) signal transduction via trans-cleavage of engineered reporters (e.g., fluorophore-quencher oligonucleotides), and (3) signal readout using fluorescence, electrochemical, or colorimetric platforms. Emerging shortly prior to the COVID-19 pandemic, CRISPR diagnostics quickly gained prominence as a field-deployable alternative to qPCR due to its rapidity (< 1 h), minimal equipment requirements, and field adaptability. This technological paradigm underwent rigorous validation and refinement alongside the rapid evolution of SARS-CoV-2 detection, which facilitated its adaptation for cancer diagnosis. Recent advancements in sensitivity (attomolar-level detection) and specificity (single-nucleotide discrimination) have enabled transformative applications in cancer diagnostics, including: (1) identification of nucleic acid biomarkers, such as high-frequency somatic mutations, circulating nucleic acids and miRNAs; and (2) detection of non-nucleic acid biomarkers, including epigenetic aberrations, proteins, small molecules and metabolite biomarkers. This review chronicles the decadal evolution of CRISPR diagnostics, with particular emphasis on recent advancements of its application in cancer diagnosis. We critically evaluate persistent technical limitations, including PAM sequence restriction, suboptimal sensitivity and specificity, quantitative constraints, and unmet point-of-care testing (POCT) in complex biological matrices. Additionally, we discuss prospective solutions to address these challenges.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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