State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, P. R. China.
University of Science and Technology of China, Hefei 230026, P. R. China.
Anal Chem. 2022 Nov 1;94(43):14931-14937. doi: 10.1021/acs.analchem.2c02401. Epub 2022 Oct 20.
Proteins as the material basis of life are the main undertakers of life activities. However, it is difficult to identify the related proteins in organelles during stimuli-induced stress responses in cells and remains a great challenge in early diagnosis and treatment of disease. Here, proteins in the cell nucleus and mitochondria of cells under the electrical stimulation (ES) process were collected and sensitively detected based on label-free surface-enhanced Raman spectroscopy (SERS) by using AuNP-based nanomembranes as high-performance SERS substrates. Due to the existence of rich "hot spots" on the 2D plasmonic sensing platform, high-quality SERS spectra of proteins were obtained with superior sensitivity and repeatability. From the SERS analyses in vitro, it was found that the conformation of some proteins in the two kinds of organelles from cancerous HCT-116 cells (compared with normal NCM-460 cells) changed significantly and the expression levels of tyrosine, phenylalanine, and tryptophan were significantly promoted during the stimulation process. Although currently the exact proteins are still unknown, the damage of proteins in the organelles of cells at the amino acid level under ES can be revealed by the method. The developed plasmonic SERS sensing platform would be promising for bioassay and cell studies.
蛋白质作为生命的物质基础,是生命活动的主要承担者。然而,在细胞受到刺激时的应激反应中,细胞器内的相关蛋白质难以被识别,这仍然是疾病早期诊断和治疗的一大挑战。在这里,我们基于无标记表面增强拉曼光谱(SERS),利用基于金纳米颗粒的纳米膜作为高性能 SERS 基底,收集并灵敏地检测了细胞电刺激(ES)过程中细胞核和线粒体中的蛋白质。由于二维等离子体传感平台上存在丰富的“热点”,因此可以获得具有优异灵敏度和可重复性的高质量蛋白质 SERS 谱。通过体外 SERS 分析发现,与正常 NCM-460 细胞相比,癌细胞 HCT-116 中两种细胞器中的一些蛋白质的构象在刺激过程中发生了明显变化,酪氨酸、苯丙氨酸和色氨酸的表达水平显著提高。尽管目前确切的蛋白质仍不清楚,但该方法可以揭示 ES 下细胞细胞器中氨基酸水平上的蛋白质损伤。所开发的等离子体 SERS 传感平台有望用于生物测定和细胞研究。