Zou Yuxiu, Huang Siqi, Liao Yixin, Zhu Xupeng, Chen Yiqin, Chen Long, Liu Fang, Hu Xiaoxiao, Tu Haijun, Zhang Liang, Liu Zhangkun, Chen Zhuo, Tan Weihong
Molecular Science and Biomedicine Laboratory (MBL) , State Key Laboratory of Chemo/Bio-Sensing and Chemometrics , College of Chemistry and Chemical Engineering and College of Life Sciences , Aptamer Engineering Center of Hunan Province , Hunan University , Changsha , Hunan 410082 , China . Email:
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body , College of Mechanical and Vehicle Engineering , Hunan University , Changsha , Hunan 410082 , China.
Chem Sci. 2018 Feb 12;9(10):2842-2849. doi: 10.1039/c7sc05442d. eCollection 2018 Mar 14.
For cancer diagnosis, technologies must be capable of molecular recognition, and they must possess a built-in pattern recognition component for efficient imaging and discrimination of targeted cancer cells. Surface enhanced Raman scattering (SERS) tags based on plasmonically active nanoparticles hold promise for accurate and efficient cancer cell recognition, owing to ultra-narrow peak and sensitive optical properties. However, a complex fingerprint spectrum increases data analysis difficulty, making it necessary to develop multicolor SERS tags with a simple fingerprint spectrum. To address this, we herein fabricated SERS-encoded nanoparticles (NPs) with stable and simple fingerprint spectrum through synthesis of isotopic cellular Raman-silent graphene-isolated-Au-nanocrystals (GIANs) and conjugation with phospholipid-polyethylene glycol-linked aptamers to target proteins overexpressed on the cancer cell surface. GIANs, which possess the properties of graphitic nanomaterials, such as super-stable optical properties and high Raman cross-section, showed enhanced SERS signals. The 2D-band Raman shift of GIAN, which located in the cellular Raman-silent region, was easily regulated through fabrication of isotopic GIANs without changing their molecular structure. Such GIAN tags demonstrated multiplexed Raman imaging capability, both and , with low background interference. Moreover, cell membrane protein (nucleolin, mucin and epithelial cell adhesion molecule)-specific, aptamer-conjugated isotopic GIANs were fabricated and feasibly applied to built-in coding for rapid imaging and pattern recognition of targeted cancer cells. Such isotopic GIAN-aptamer-encoders show high potential for efficient cancer cell identification and diagnosis.
对于癌症诊断而言，技术必须具备分子识别能力，且必须拥有内置的模式识别组件，以便对靶向癌细胞进行高效成像和鉴别。基于等离子体活性纳米粒子的表面增强拉曼散射（SERS）标签，因其超窄峰和灵敏的光学特性，有望实现准确高效的癌细胞识别。然而，复杂的指纹光谱增加了数据分析难度，因此有必要开发具有简单指纹光谱的多色SERS标签。为解决这一问题，我们在此通过合成同位素细胞拉曼沉默的石墨烯隔离金纳米晶体（GIANs）并与磷脂 - 聚乙二醇连接的适体共轭以靶向癌细胞表面过表达的蛋白质，制备了具有稳定且简单指纹光谱的SERS编码纳米粒子（NPs）。具有石墨纳米材料特性（如超稳定光学特性和高拉曼截面）的GIANs表现出增强的SERS信号。位于细胞拉曼沉默区域的GIAN的二维带拉曼位移可通过制备同位素GIANs轻松调节，而不改变其分子结构。此类GIAN标签展示了多重拉曼成像能力，具有低背景干扰。此外，还制备了细胞膜蛋白（核仁素、粘蛋白和上皮细胞粘附分子）特异性的、适体共轭的同位素GIANs，并将其成功应用于靶向癌细胞的快速成像和模式识别的内置编码。此类同位素GIAN - 适体编码器在高效癌细胞识别和诊断方面具有很高的潜力。
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