KIST Biomedical Research Institute, Seoul, South Korea.
Nanomedicine. 2012 Oct;8(7):1043-51. doi: 10.1016/j.nano.2012.01.005. Epub 2012 Feb 1.
Applications in nanomedicine, such as diagnostics and targeted therapeutics, rely on the detection and targeting of membrane biomarkers. In this article we demonstrate absolute quantitative profiling, spatial mapping, and multiplexing of cancer biomarkers using functionalized quantum dots (QDs). We demonstrate highly selective targeting molecular markers for pancreatic cancer with extremely low levels of nonspecific binding. We confirm that we have saturated all biomarkers on the cell surface, and, in conjunction with control experiments, extract absolute quantitative values for the biomarker density in terms of the number of molecules per square micron on the cell surface. We show that we can obtain quantitative spatial information of biomarker distribution on a single cell, important because tumors' cell populations are inherently heterogeneous. We validate our quantitative measurements (number of molecules per square micron) using flow cytometry and demonstrate multiplexed quantitative profiling using color-coded QDs.
This paper demonstrates a nice example for quantum dot-based molecular targeting of pancreatic cancer cells for advanced high sensitivity diagnostics and potential future selective therapeutic purposes.
纳米医学中的应用，如诊断和靶向治疗，依赖于膜生物标志物的检测和靶向。在本文中，我们展示了使用功能化量子点（QD）对癌症生物标志物进行绝对定量分析、空间映射和多重分析。我们证明了我们可以对胰腺癌进行高度选择性的靶向分子标记，同时具有极低的非特异性结合。我们证实已经使细胞表面上的所有生物标志物饱和，并且结合对照实验，我们可以根据细胞表面每平方微米的分子数来提取生物标志物密度的绝对定量值。我们表明，我们可以获得单个细胞上生物标志物分布的定量空间信息，这一点非常重要，因为肿瘤的细胞群体本身就是异质的。我们使用流式细胞术验证了我们的定量测量（每平方微米的分子数），并使用彩色编码 QD 证明了多重定量分析。
本文展示了一个基于量子点的胰腺癌细胞分子靶向的很好的例子，用于先进的高灵敏度诊断和未来潜在的选择性治疗目的。
