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用于细胞凋亡和坏死定量及动态检测的表面等离子体增强拉曼光谱指标

Plasmon-enhanced Raman spectroscopic metrics for quantitative and dynamic assays of cell apoptosis and necrosis.

作者信息

Kang Bin, Li Shan-Shan, Guan Qi-Yuan, Chen Ai-Ping, Zhang Pan-Ke, Zhang Li-Bin, Wei Ji-Wu, Xu Jing-Juan, Chen Hong-Yuan

机构信息

State Key Laboratory of Analytical Chemistry for Life Science , Collaborative Innovation Center of Chemistry for Life Sciences , School of Chemistry and Chemical Engineering , Nanjing University , 210023 , China . Email:

Jiangsu Key Laboratory of Molecular Medicine , Medical School , The State Key Laboratory of Pharmaceutical Biotechnology , Nanjing University , 210093 , China.

出版信息

Chem Sci. 2017 Feb 1;8(2):1243-1250. doi: 10.1039/c6sc02486f. Epub 2016 Oct 3.

Abstract

Apoptosis and necrosis are distinct cell death processes related to many cellular pathways. , quantitatively and dynamically monitoring such processes may provide vitally important information for cell studies. However, such a method still remains elusive, even though current immunochemical methodologies have developed extremely valuable tools. Herein, we demonstrate Raman spectroscopic metrics for validating and quantifying apoptotic and necrotic cells based on their distinct molecular vibrational fingerprints. It not only allows us to quantify apoptotic and necrotic cell populations in adherent cell samples, but also to be capable of continuously monitoring the dynamical processes of apoptosis and necrosis at the same time in one sample. This method provides comparable results with the "gold standard" of flow cytometry, moreover, with several incomparable advantages. Our work offers a powerful new tool for cell apoptosis and necrosis assays and is expected to become a benchmark technology in biological and medical studies.

摘要

凋亡和坏死是与许多细胞途径相关的不同细胞死亡过程。定量和动态监测这些过程可为细胞研究提供至关重要的信息。然而,尽管当前免疫化学方法已经开发出了极其有价值的工具,但这样一种方法仍然难以捉摸。在此,我们展示了基于凋亡和坏死细胞独特的分子振动指纹来验证和量化它们的拉曼光谱指标。它不仅使我们能够量化贴壁细胞样本中的凋亡和坏死细胞群体,还能够在一个样本中同时连续监测凋亡和坏死的动态过程。该方法与流式细胞术的“金标准”提供了可比的结果,而且具有一些无可比拟的优势。我们的工作为细胞凋亡和坏死检测提供了一种强大的新工具,并有望成为生物学和医学研究中的一项基准技术。

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