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DOI 10.1038/s41467-025-59219-x

Медицинская библиотека · Nature communications · 2025

Ultrasensitive detection of clinical pathogens through a target-amplification-free collateral-cleavage-enhancing CRISPR-CasΦ tool.

Chen Huiyou, Song Fengge, Wang Buhua, Huang Hui, Luo Yanchi, Han Xiaosheng, He Hewen, Lin Shaolu, Wan Liudang, Huang Zhengliang, Fu Zhaoyong, Ledesma-Amaro Rodrigo, Yin Dapeng, Mao Haimei, He Linwen, Yang Tao, Chen Zijing, Ma Yubin, Xue Evelyn Y, Wan Yi, Mao Chuanbin

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Аннотация

Clinical pathogen diagnostics detect targets by qPCR (but with low sensitivity) or blood culturing (but time-consuming). Here we leverage a dual-stem-loop DNA amplifier to enhance non-specific collateral enzymatic cleavage of an oligonucleotide linker between a fluophore and its quencher by CRISPR-CasΦ, achieving ultrasensitive target detection. Specifically, the target pathogens are lysed to release DNA, which binds its complementary gRNA in CRISPR-CasΦ to activate the collateral DNA-cleavage capability of CasΦ, enabling CasΦ to cleave the stem-loops in the amplifier. The cleavage product binds its complementary gRNA in another CRISPR-CasΦ to activate more CasΦ. The activated CasΦ collaterally cleaves the linker, releasing the fluophore to recover its fluorescent signal. The cycle of stem-loop-cleavage/CasΦ-activation/fluorescence-recovery amplifies the detection signal. Our target amplification-free collateral-cleavage-enhancing CRISPR-CasΦ method (TCC), with a detection limit of 0.11 copies/μL, demonstrates enhanced sensitivity compared to qPCR. It can detect pathogenic bacteria as low as 1.2 CFU/mL in serum within 40 min.

Для цитирования: Chen Huiyou, Song Fengge, Wang Buhua, Huang Hui, Luo Yanchi, Han Xiaosheng, He Hewen, Lin Shaolu, Wan Liudang, Huang Zhengliang, Fu Zhaoyong, Ledesma-Amaro Rodrigo, Yin Dapeng, Mao Haimei, He Linwen, Yang Tao, Chen Zijing, Ma Yubin, Xue Evelyn Y, Wan Yi, Mao Chuanbin. Ultrasensitive detection of clinical pathogens through a target-amplification-free collateral-cleavage-enhancing CRISPR-CasΦ tool.. Nature communications. 2025. DOI: 10.1038/s41467-025-59219-x.

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