Department of Microbiology & Immunology, Center for Primate Biomedical Research, University of Illinois College of Medicine at Chicago, Chicago, IL 60612, United States.
Immunol Lett. 2011 Oct 30;140(1-2):44-51. doi: 10.1016/j.imlet.2011.06.003. Epub 2011 Jun 15.
Nano-spatial distribution of cell surface molecules on cell membrane fluctuations during T-cell activation has not been reported. In this study, we innovated application of near-field scanning optical microscopy (NSOM)/quantum dots (QDs)-based nanotechnology through three-dimensional image fusion algorithm to merge the simultaneously obtained dual-color fluorescence information and three-dimensional topography. This novel imaging system made it possible to visualize nano-spatial distribution and organization of early-activation molecules CD69 and late-activation molecules CD71 on cell-membrane fluctuations during T-cell activation. Interestingly, most CD69 molecules were clustered to form 250-500nm nano-domains polarizing predominantly in the peak of the cell-membrane fluctuations. In contrast, although CD71 molecules were also clustered as 250-500nm nano-domains, they polarized dominantly in the valley of the cell-membrane fluctuations. The peak-valley polarities of CD69 nano-domains and CD71 nano-domains implied their different functions. CD69 nano-domains polarizing on membrane-peak fluctuations might serve as transient platforms driving TCR/CD3-induced signaling and activation, whereas CD71 nano-domains distributing in the membrane-valley fluctuations appeared to facilitate iron uptake for increased metabolisms in T-cell activation. Importantly, this NSOM/QD-based fluorescence-topographic image fusion provides a powerful tool to visualize nano-spatial distribution of cell-surface molecules on cell-membrane fluctuations and enable better understanding of distribution-function relationship.
细胞膜波动中 T 细胞活化过程中细胞表面分子的纳米级空间分布尚未见报道。在这项研究中,我们创新性地应用基于近场扫描光学显微镜(NSOM)/量子点(QD)的纳米技术,通过三维图像融合算法,融合同时获得的双荧光信息和三维形貌。这种新型成像系统使可视化 T 细胞活化过程中细胞膜波动时早期活化分子 CD69 和晚期活化分子 CD71 的纳米级空间分布和组织成为可能。有趣的是,大多数 CD69 分子聚集形成 250-500nm 的纳米域,主要在细胞膜波动的峰值处极化。相比之下,虽然 CD71 分子也聚集形成 250-500nm 的纳米域,但它们主要在细胞膜波动的谷处极化。CD69 纳米域和 CD71 纳米域的峰谷极性表明它们具有不同的功能。在膜峰波动处极化的 CD69 纳米域可能作为 TCR/CD3 诱导信号和激活的瞬时平台,而分布在膜谷波动处的 CD71 纳米域似乎有利于铁的摄取,以增加 T 细胞激活中的代谢。重要的是,这种基于 NSOM/QD 的荧光形貌图像融合为可视化细胞膜波动中细胞表面分子的纳米级空间分布提供了一种强大的工具,并有助于更好地理解分布-功能关系。