Zhou Lei, Wang Rui, Yao Chi, Li Xiaomin, Wang Chengli, Zhang Xiaoyan, Xu Congjian, Zeng Aijun, Zhao Dongyuan, Zhang Fan
Department of Chemistry and Laboratory of Advanced Materials, iChEm (Collaborative Innovation Center of Chemistry for Energy Materials), State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China.
Department of Chemistry, iChEm (Collaborative Innovation Center of Chemistry for Energy Materials), State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China.
Nat Commun. 2015 Apr 24;6:6938. doi: 10.1038/ncomms7938.
The identification of potential diagnostic markers and target molecules among the plethora of tumour oncoproteins for cancer diagnosis requires facile technology that is capable of quantitatively analysing multiple biomarkers in tumour cells and tissues. Diagnostic and prognostic classifications of human tumours are currently based on the western blotting and single-colour immunohistochemical methods that are not suitable for multiplexed detection. Herein, we report a general and novel method to prepare single-band upconversion nanoparticles with different colours. The expression levels of three biomarkers in breast cancer cells were determined using single-band upconversion nanoparticles, western blotting and immunohistochemical technologies with excellent correlation. Significantly, the application of antibody-conjugated single-band upconversion nanoparticle molecular profiling technology can achieve the multiplexed simultaneous in situ biodetection of biomarkers in breast cancer cells and tissue specimens and produce more accurate results for the simultaneous quantification of proteins present at low levels compared with classical immunohistochemical technology.
在众多肿瘤癌蛋白中识别潜在的诊断标志物和靶分子用于癌症诊断,需要一种能够对肿瘤细胞和组织中的多种生物标志物进行定量分析的简便技术。目前人类肿瘤的诊断和预后分类基于蛋白质印迹法和单色免疫组织化学方法,这些方法不适用于多重检测。在此,我们报告了一种制备具有不同颜色的单波段上转换纳米颗粒的通用且新颖的方法。使用单波段上转换纳米颗粒、蛋白质印迹法和免疫组织化学技术测定了乳腺癌细胞中三种生物标志物的表达水平,结果具有良好的相关性。值得注意的是,与传统免疫组织化学技术相比,抗体偶联的单波段上转换纳米颗粒分子谱技术的应用能够实现乳腺癌细胞和组织标本中生物标志物的多重原位生物检测,并能更准确地同时定量低水平存在的蛋白质。