Zhao Guodong, Dai Yanmiao, Xia Chenjing, Zhou Xiaojin, Xue Ying, Xu Hongwei
Zhejiang University of Technology, Zhejiang, Hangzhou, 310014, China; ZJUT Yinhu Research Institute of Innovation and Entrepreneurship, Zhejiang, Hangzhou, 311400, China; Suzhou Key Laboratory of Integrated Traditional Chinese and Western Medicine for Digestive Diseases, Department of Spleen and Stomach Diseases, Kunshan Hospital of Traditional Chinese Medicine, Affiliated Hospital of Yangzhou University, Kunshan, Jiangsu, 215300, China; State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China.
Suzhou Key Laboratory of Integrated Traditional Chinese and Western Medicine for Digestive Diseases, Department of Spleen and Stomach Diseases, Kunshan Hospital of Traditional Chinese Medicine, Affiliated Hospital of Yangzhou University, Kunshan, Jiangsu, 215300, China.
Talanta. 2026 Jan 1;296:128406. doi: 10.1016/j.talanta.2025.128406. Epub 2025 May 29.
MicroRNAs (miRNAs) play crucial roles in various biological processes, and their dysregulation is associated with numerous diseases. Accurate quantification of mature miRNAs is essential for their use as biomarkers. However, distinguishing between mature miRNAs and pre-miRNAs remains challenging. This study introduces a novel method called Blocker Displacement SMOS-qPCR (BL-SMOS-qPCR) to enhance the differentiation between miRNAs and pre-miRNAs. The method employs a blocker sequence complementary to the 3' end of pre-miRNA cDNA, effectively competing with the Linker sequence and reducing non-specific amplification. We optimized various parameters, including blocker modification, length, concentration, and reaction temperature. Results showed that MGB-modified blockers at optimal concentrations significantly improved discrimination between miRNAs and pre-miRNAs, reducing pre-miRNA signals by approximately 3.2-fold. The BL-SMOS-qPCR maintained similar dynamic ranges (6˟10 to 6˟10 copies per reaction) and R values compared to the original SMOS-qPCR method across multiple miRNA targets. Furthermore, the new method successfully distinguished between normal controls and esophageal cancer patients in serum samples, demonstrating its effectiveness in clinical applications. This study provides a novel approach for precise miRNA quantification, addressing the challenges of differentiating between mature miRNAs and their precursors in complex biological samples.
微小RNA(miRNA)在各种生物学过程中发挥着关键作用,其失调与多种疾病相关。准确量化成熟miRNA对于将其用作生物标志物至关重要。然而,区分成熟miRNA和前体miRNA仍然具有挑战性。本研究引入了一种名为阻断剂置换SMOS-qPCR(BL-SMOS-qPCR)的新方法,以增强miRNA与前体miRNA之间的区分能力。该方法采用与前体miRNA cDNA 3'端互补的阻断剂序列,有效竞争连接子序列并减少非特异性扩增。我们优化了各种参数,包括阻断剂修饰、长度、浓度和反应温度。结果表明,最佳浓度的MGB修饰阻断剂显著提高了miRNA与前体miRNA之间的区分能力,使前体miRNA信号降低了约3.2倍。与原始SMOS-qPCR方法相比,BL-SMOS-qPCR在多个miRNA靶点上保持了相似的动态范围(每个反应6˟10至6˟10个拷贝)和R值。此外,新方法成功区分了血清样本中的正常对照和食管癌患者,证明了其在临床应用中的有效性。本研究为精确的miRNA定量提供了一种新方法,解决了在复杂生物样本中区分成熟miRNA及其前体的挑战。