文献类型：期刊文献

英文题名：A Two-Stage Dissociation System for Multilayer Imaging of Cancer Biomarker-Synergic Networks in Single Cells

作者：Qian, Ruo-Can[1];Cao, Yue[1];Zhao, Li-Jun[1];Gu, Zhen[1];Long, Yi-Tao[1]

机构：[1]East China Univ Sci & Technol, Sch Chem & Mol Engn, Key Lab Adv Mat, Shanghai 200237, Peoples R China

年份：2017

卷号：56

期号：17

起止页码：4802

外文期刊名：ANGEWANDTE CHEMIE-INTERNATIONAL EDITION

收录：;EI(收录号：20171503557560);WOS:【SCI-EXPANDED(收录号:WOS:000398576000020)】；

基金：This research was supported by the National Natural Science Foundation of China (21421004, 21327807, 21605048), the Programme of Introducing Talents of Discipline to Universities (B16017), the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (YJ0130504), the Program of Shanghai Subject Chief Scientist (15XD1501200), the China Postdoctoral Science Foundation (2016T90339), and the State Key Laboratory of Analytical Chemistry for Life Science Open Foundation (SKLACLS1512).

语种：英文

外文关键词：cancer biomarkers; cancer pathway; single-cell imaging; two-stage disassembly

摘要：The monitoring of cancer biomarkers is crucial to the early detection of cancer. However, a limiting factor in biomarker analysis is the ability to obtain the multilayered information of various biomarker molecules located at different parts of cells from the plasma membrane to the cytoplasm. A two-stage dissociation nanoparticle system based on multi-functionalized polydopamine-coated gold nanoparticles (Au@PDA NPs) is reported, which allows for the two-stage imaging of cancer biomarkers in single cells. We demonstrate the feasibility of this strategy on sialic acids (SAs), p53 protein, and microRNA-21 (miRNA-21) in MCF-7 breast cancer cells by two custom-built probes. Furthermore, the multicolor fluorescence information extracted is used for the monitoring of biomarker expression changes under different drug combinations, which allows us to investigate the complex interactions between various cancer biomarkers and to describe the cancer biomarker-synergic networks in single cells.