Multi-input DNA-based Logic Gates for Profiling the MicroRNA Biomarkers of Hepatitis-C Viral Infection

Melika Sadat Masoud, Mercedeh Sanjabi, Ali Jahanian

Abstract

Hepatitis C is a serious disease that cannot easily be diagnosed at the early stages of this illness. Recently, microRNA are introduced as an efficient biomarker for detecting it. Real-time PCR (The Polymerase Chain Reaction) is the most popular method to profile the microRNA expression. However, it is costly, time-consuming and its accuracy is not sufficient for the very few levels of these biomarkers. Recently, DNA logic gates are used to detect the microRNA expression volume. We presented a DNA-based logic system to detect the pattern of hepatitis C viral infection. The higher number of microRNAs that are detected means the diagnosis is more reliable, and the possibility of a false positive is less. The proposed system has no limits on the number of inputs. We tested it with 20 microRNAs of hepatitis-C viral infection. The results show that this gate can detect complicated patterns with higher fan-in, lower complexity/cost, better response time, and higher accuracy rather than real-time PCR.

Keywords

DNA logic gate, MicroRNA, Hepatitis-C

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Multi-input DNA-based Logic Gates for Profiling the MicroRNA Biomarkers of Hepatitis-C Viral Infection