ArticleACS measurement science au2024
Design and Optimization of Isothermal Gene Amplification for Generation of High-Gain Oligonucleotide Products by MicroRNAs.
Article in ACS measurement science au, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
5 authors.
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Abstract
Thermal cycling-based quantitative polymerase chain reaction (qPCR) represents the gold standard method for accurate and sensitive nucleic acid quantification in laboratory settings. However, its reliance on costly thermal cyclers limits the implementation of this technique for rapid point-of-care (POC) diagnostics. To address this, isothermal amplification techniques such as rolling circle amplification (RCA) have been developed, offering a simpler alternative that can operate without the need for sophisticated instrumentation. This study focuses on the development and optimization of toehold-mediated RCA (TRCA), which employs a conformationally switchable dumbbell DNA template for the sensitive and selective detection of cancer-associated miRNAs, specifically miR-21. In addition, we developed variants of hyperbranched TRCA (HTRCA), nicking-assisted TRCA (NTRCA), and hyperbranched NTRCA (HNTRCA) to facilitate exponential amplification by enhancing TRCA through the sequential incorporation of reverse primer (Pr) and nicking endonuclease (nE). By conducting a systematic kinetic analysis of the initial rate and end point signals for varying concentrations of key reaction components, we could identify optimal conditions that markedly enhanced the sensitivity and specificity of the TRCA variants. In particular, HNTRCA, which exploits the synergistic effect of Pr and nE, demonstrated an approximately 3000-fold improvement in the detection limit (260 fM) and a wider dynamic range of more than 4 log orders of magnitude compared to TRCA, thereby evidencing its superior performance. Also, we established a mechanistic model for TRCA that includes the roles of Pr and nE in different amplification processes. Model parameters were fitted to the experimental data, and additional simulations were conducted to compare the four amplification methods. Further tests with real biological samples revealed that this technique showed a good correlation with qPCR in quantifying miR-21 expression in various cell lines (0.9510 of Pearson's
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Registered trials
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