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通过糖基印迹量子点的多重成像对细胞进行模式识别。

Pattern Recognition of Cells via Multiplexed Imaging with Monosaccharide-Imprinted Quantum Dots.

机构信息

State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University , Nanjing 210023, China.

出版信息

Anal Chem. 2017 May 16;89(10):5646-5652. doi: 10.1021/acs.analchem.7b00965. Epub 2017 May 3.

Abstract

Recognition of cancer cells is essential for many important areas such as targeted cancer therapy. Multimonosaccharide-based recognition could be a useful strategy to improve the recognition specificity, but such a possibility has not been explored yet. Herein we report pattern recognition of cells via multiplexed imaging with monosaccharide-imprinted quantum dots (QDs). Imprinted with sialic acid, fucose, and mannose as the template, respectively, the QDs exhibited good specificity toward the template monosaccharides. Multiplexed imaging of cells simultaneously stained with these monosaccharide-imprinted QDs revealed the relative expression levels of the monosaccharides on the cells. Pattern recognition constructed using the intensities of multiplexed imaging unveiled the similarities and differences of different cell lines, allowing for the recognition of not only cancer cells from normal cells but also cancer cells of different cell lines. Thus, this study paved a solid ground for the design and preparation of novel cancer-cell targeting reagents and nanoprobes.

摘要

癌细胞的识别对于靶向癌症治疗等许多重要领域至关重要。基于单糖的识别可能是提高识别特异性的有用策略,但这种可能性尚未得到探索。本文通过糖基印迹量子点(QDs)的多重成像报告了细胞的模式识别。印迹以唾液酸、岩藻糖和甘露糖为模板,相应的 QD 对模板单糖表现出良好的特异性。同时用这些糖基印迹 QD 对细胞进行多重成像,揭示了细胞上单糖的相对表达水平。使用多重成像强度构建的模式识别揭示了不同细胞系之间的相似性和差异性,不仅可以识别正常细胞中的癌细胞,还可以识别不同细胞系的癌细胞。因此,本研究为设计和制备新型癌细胞靶向试剂和纳米探针奠定了坚实的基础。

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