Department of Chemistry, Michigan State University, East Lansing, Michigan 48824, USA.
J Am Chem Soc. 2010 Mar 31;132(12):4490-9. doi: 10.1021/ja100455c.
Within cancer, there is a large wealth of diversity, complexity, and information that nature has engineered rendering it challenging to identify reliable detection methods. Therefore, the development of simple and effective techniques to delineate the fine characteristics of cancer cells can have great potential impacts on cancer diagnosis and treatment. Herein, we report a magnetic glyco-nanoparticle (MGNP) based nanosensor system bearing carbohydrates as the ligands, not only to detect and differentiate cancer cells but also to quantitatively profile their carbohydrate binding abilities by magnetic resonance imaging (MRI). Using an array of MGNPs, a range of cells including closely related isogenic tumor cells, cells with different metastatic potential and malignant vs normal cells can be readily distinguished based on their respective "MRI signatures". Furthermore, the information obtained from such studies helped guide the establishment of strongly binding MGNPs as antiadhesive agents against tumors. As the interactions between glyco-conjugates and endogenous lectins present on cancer cell surface are crucial for cancer development and metastasis, the ability to characterize and unlock the glyco-code of individual cell lines can facilitate both the understanding of the roles of carbohydrates as well as the expansion of diagnostic and therapeutic tools for cancer.
在癌症中，存在着大量的多样性、复杂性和信息，这些都是大自然设计的，使得识别可靠的检测方法具有挑战性。因此，开发简单有效的技术来描绘癌细胞的精细特征，可能会对癌症的诊断和治疗产生重大影响。在这里，我们报告了一种基于磁性糖纳米颗粒（MGNP）的纳米传感器系统，该系统带有糖作为配体，不仅可以检测和区分癌细胞，还可以通过磁共振成像（MRI）定量分析其糖结合能力。使用一系列 MGNPs，可以根据各自的“MRI 特征”轻松区分包括密切相关的同基因肿瘤细胞、具有不同转移潜能的细胞以及恶性细胞与正常细胞在内的多种细胞。此外，从这些研究中获得的信息有助于指导建立强结合 MGNPs 作为抗黏附剂来对抗肿瘤。由于糖缀合物与癌细胞表面上内源性凝集素之间的相互作用对癌症的发展和转移至关重要，因此对个别细胞系的糖码进行特征描述和解锁的能力，可以促进对碳水化合物作为诊断和治疗癌症工具的作用的理解。
