Qi Wang, Shuo Yang, Xiumei Chen, Shihui Song, Yan Wu, Yang Li, Xiang Meng, Luyang Dai, Zheng Yang, Hanlin Wu, Juan Xia, Jianguo Xu
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引用次数: 0
Abstract
Breast cancer (BC) remains a critical global health challenge, necessitating ultrasensitive methods for detecting biomarkers such as miR-155, a key regulator in BC progression. Here, we present a mutually activated dual-exponential amplification DNA machine (MADEA-DNA machine) for ultrasensitive miR-155 detection. This system integrates exponential rolling circle amplification (E-RCA) and autocatalytic incremental strand displacement amplification (AI-SDA), driven by a bidirectional activation mechanism. Target miR-155 initiates E-RCA via a functional primer probe (FPP) or AI-SDA through a functional hairpin probe (FHP), with amplification products cross-activating the counterpart system to establish a self-reinforcing loop. The resultant amplicons further activate CRISPR/Cas12a, enabling the trans-cleavage of fluorescent reporters for signal amplification. The MADEA-DNA machine achieves a detection limit of 1.26 fM, with a dynamic range spanning 5 fM–10 nM, and demonstrates exceptional specificity against mismatched and nontarget miRNAs. Validation in human serum revealed significantly elevated miR-155 levels in BC patients versus healthy donors, corroborated by qRT-PCR. This system combines machine-like operational efficiency, dual-amplification synergy, and CRISPR-enhanced sensitivity, offering a robust platform for liquid biopsy applications in early BC diagnostics.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.