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首页> 外文期刊>Immunology Letters >NSOM/QD-based fluorescence-topographic image fusion directly reveals nano-spatial peak-valley polarities of CD69 and CD71 activation molecules on cell-membrane fluctuations during T-cell activation.
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NSOM/QD-based fluorescence-topographic image fusion directly reveals nano-spatial peak-valley polarities of CD69 and CD71 activation molecules on cell-membrane fluctuations during T-cell activation.

机译：基于NSOM / QD的荧光地形图图像融合直接揭示了T细胞活化过程中CD69和CD71活化分子在细胞膜波动上的纳米空间峰谷极性。

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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.
机译：尚未报道在T细胞活化过程中细胞表面分子在细胞膜波动上的纳米空间分布。在这项研究中，我们通过三维图像融合算法创新性地应用了基于近场扫描光学显微镜（NSOM）/量子点（QDs）的纳米技术，以合并同时获得的双色荧光信息和三维地形。这种新颖的成像系统使得可视化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中极化。相比之下，尽管CD71分子也簇集为250-500nm的纳米域，但它们在细胞膜波动谷中主要极化。 CD69纳米域和CD71纳米域的峰谷极性暗示其不同的功能。在膜峰波动上极化的CD69纳米域可能充当驱动TCR / CD3诱导的信号传导和激活的瞬态平台，而分布在膜谷波动中的CD71纳米域似乎促进了铁的吸收，从而增加了T细胞活化中的新陈代谢。 。重要的是，这种基于NSOM / QD的荧光地形图图像融合提供了一个强大的工具，可以可视化细胞膜波动上细胞表面分子的纳米空间分布，并能够更好地理解分布-功能关系。

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