Kim Jinyoung, Park Joowon, Ki Jisun, Rho Hyun Wook, Huh Yong-Min, Kim Eunjung, Son Hye Young, Haam Seungjoo
Department of Chemical and Biomolecular Engineering, Yonsei University, Yonsei-ro 50, Seoul, 120-749, Republic of Korea.
Center for Nano-Bio Measurement, Korea Research Institute of Standards and Science, Daejeon, 305-340, Republic of Korea.
Biosens Bioelectron. 2022 Jul 1;207:114143. doi: 10.1016/j.bios.2022.114143. Epub 2022 Mar 9.
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.
乳腺癌是全球最常见的癌症之一。由于乳腺癌在早期阶段接受治疗时5年生存率会大幅提高,早期检测的重要性日益增加。在此,描述了一种通过表面增强拉曼光谱(SERS)结合种子介导生长的银纳米柱(SMGAPs)进行单点多重乳腺癌循环微RNA(miRNA)检测的方法。预先分布的40纳米金纳米颗粒种子(sGNP)上的电化学还原充当银离子生长的支架,纳米柱状银结构成功地生长在金基底表面。合成结构对异硫氰酸孔雀石绿显示出均匀且显著增强的信号。基于这种一致性,两种乳腺癌循环miRNA标志物(miR-21和miR-155)被用作SERS诊断靶点。每个标记靶点的检测限(LOD)分别为451 zmol和1.65 amol。此外,通过miR-21和miR-155拷贝对四种癌细胞提取物(HCC1143、HCC1954、MDA-MB-231、MCF-7)中的miRNA进行了分类。最后,与健康组相比,成功实现了尿液中miRNA的定量分析。