한빛사 논문
Jinyoung Kim a, Joowon Park a, Jisun Ki b, Hyun Wook Rho c, Yong-Min Huh c,d,e,f, Eunjung Kim g,h, Hye Young Son c,d,e,*, Seungjoo Haam a,*
a Department of Chemical and Biomolecular Engineering, Yonsei University, Yonsei-ro 50, Seoul, 120-749, Republic of Korea b Center for Nano-Bio Measurement, Korea Research Institute of Standards and Science, Daejeon, 305-340, Republic of Korea c Department of Radiology, Yonsei University, Seoul, 03772, South Korea d Severance Biomedical Science Institute, Yonsei University, Seoul, 03772, South Korea e YUHS-KRIBB Medical Convergence Research Institute, Yonsei University, Seoul, 03772, South Korea f Department of Biochemistry & Molecular Biology, College of Medicine, Yonsei University, Seoul, 03722, South Korea g Department of Bioengineering and Nano-Bioengineering, Incheon National University, Incheon, 22012, Republic of Korea h Division of Bioengineering, Incheon National University, Incheon, 22012, Republic of Korea
* Corresponding author.
Abstract
Breast cancer is one of the most common cancers globally. Because the 5-year survival rate of breast cancer greatly increases when treated in its initial stage, the importance of early detection has been increasing. Herein, one-spot multiple breast cancer circulating microRNA (miRNA) detection via surface-enhanced Raman spectroscopy (SERS) with seed-mediated grown Ag nanopillars (SMGAPs) is described. The electrochemical reduction on the pre-distributed 40 nm gold nanoparticle seeds (sGNP) acted as scaffolds for silver ion growth, and a nanopillar-shaped silver structure was successfully grown on the gold substrate surface. The synthesized structure showed uniform and remarkably increased signal enhancement for malachite green isothiocyanate. Based on this consistency, two circulating miRNA markers for breast cancer (miR-21 and miR-155) were used as the SERS diagnostic target. The limit of detection (LOD) of each labeled target was 451 zmol and 1.65 amol respectively. Moreover, miRNAs in four types of cancer cell extracts (HCC1143, HCC1954, MDA-MB-231, MCF-7) were sorted by miR-21 and miR-155 copies. Finally, quantitative analysis of miRNA in urine was successful compared to that in the healthy group.
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