Faculty of Computer Science and Engineering, Shahid Beheshti University, G. C., Tehran 1983963113, Iran.
IET Nanobiotechnol. 2019 Sep;13(7):665-673. doi: 10.1049/iet-nbt.2018.5275.
Early detection of cancer is very critical because it can reduce the treatment risk and cost. MicroRNAs (miRNAs) have been introduced in recent years as an efficient class of biomarkers for cancer early detection. Now, real-time polymerase chain reaction has been used to profile the miRNA expression, which is costly, time consuming and low accuracy. Most recently, DNA logic gates are used to detect the miRNA expression level that is more accurate and faster than previous methods. The DNA-based logic gates face with serious challenges such as the large complexity and low scalability. In this study, the authors proposed a methodology to design multi-threshold and multi-input DNA-based logic gates in response to specific miRNA inputs in live mammalian cells. The proposed design style can simultaneously recognise multiple miRNAs with different rising and falling thresholds. The design style has been evaluated on the lung cancer biomarkers and the experimental results show the efficiency of the proposed method in terms of accuracy, efficiency and speed.
癌症的早期检测非常关键，因为它可以降低治疗风险和成本。近年来，microRNAs（miRNAs）被引入作为癌症早期检测的有效生物标志物。目前，实时聚合酶链反应已被用于分析 miRNA 的表达，这种方法成本高、耗时且准确性低。最近，DNA 逻辑门被用于检测 miRNA 的表达水平，其准确性和速度都优于以前的方法。基于 DNA 的逻辑门面临着严重的挑战，如大的复杂性和低的可扩展性。在这项研究中，作者提出了一种方法来设计多阈值和多输入基于 DNA 的逻辑门，以响应活哺乳动物细胞中的特定 miRNA 输入。所提出的设计风格可以同时识别具有不同上升和下降阈值的多个 miRNAs。该设计风格已在肺癌生物标志物上进行了评估，实验结果表明，该方法在准确性、效率和速度方面具有较高的效率。
