Laboratory of Nanoscale Biochemical Analysis, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu, 215123, China.
Department of Ultrasound, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, China.
Biosens Bioelectron. 2021 Oct 15;190:113470. doi: 10.1016/j.bios.2021.113470. Epub 2021 Jun 30.
MicroRNAs (miRNAs) are promising biomarkers for the early diagnosis of breast cancer. Yet, simultaneous achievement of rapid, sensitive and accurate detection of diverse miRNAs in clinical samples is still challenging due to the low abundance of miRNAs and the complex procedures of RNA extraction and separation. Herein, we develop an innovative three-dimensional (3D) surface-enhanced Raman scattering (SERS) holography sensing strategy for rapid, sensitive and multiplexed detection of human breast cancer-associated miRNAs. To establish a proof of concept, nine kinds of human breast cancer-associated miRNAs are isothermally amplified by Exonuclease (Exo) III enzyme, and the products could be spatially separated to corresponding sensing region on silicon SERS substrates. Each region has been modified with corresponding hairpin DNA probes, which are used to identify and quantify the miRNAs. Different DNA probes are labeled with different Raman reporters, which serve as "SERS tags" to incorporate spectroscopic information into computer-generated 3D SERS hologram within ~9 min. We demonstrate that 3D SERS holography chip not only achieves an ultrahigh sensitivity down to ~1 aM but also feature a high correlation with RT-qPCR in the detection of nine miRNAs in 30 clinical serum samples. This work provides a feasible tool to improve the diagnosis of breast cancer.
微小 RNA(miRNAs)是乳腺癌早期诊断有前途的生物标志物。然而,由于 miRNAs 的丰度低,以及 RNA 提取和分离的复杂过程,同时实现对临床样本中多种 miRNAs 的快速、敏感和准确检测仍然具有挑战性。在此,我们开发了一种创新的三维(3D)表面增强拉曼散射(SERS)全息传感策略,用于快速、敏感和多重检测人乳腺癌相关的 miRNAs。为了建立一个概念验证,九种人乳腺癌相关的 miRNAs 被 Exonuclease(Exo)III 酶等温扩增,产物可以在硅 SERS 基底上被空间分离到相应的传感区域。每个区域都用相应的发夹 DNA 探针进行修饰,用于识别和定量 miRNAs。不同的 DNA 探针用不同的拉曼报告分子标记,作为“ SERS 标签”将光谱信息合并到计算机生成的 3D SERS 全息图中,时间约为 9 分钟。我们证明 3D SERS 全息图芯片不仅实现了超高灵敏度,低至~1 aM,而且在 30 个临床血清样本中检测九种 miRNAs 时与 RT-qPCR 具有高度相关性。这项工作为提高乳腺癌的诊断提供了一种可行的工具。