Near-infrared manipulation of multiple neuronal populations via trichromatic upconversion.
Near-infrared manipulation of multiple neuronal populations via trichromatic upconversion.
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通过三色上转换对多个神经元群进行近红外操作
DOI：
10.1038/s41467-021-25993-7
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发表时间：
2021-09-27
影响因子：
16.6
通讯作者：
Zhang F
中科院分区：
文献类型：
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作者：
Liu X;Chen H;Wang Y;Si Y;Zhang H;Li X;Zhang Z;Yan B;Jiang S;Wang F;Weng S;Xu W;Zhao D;Zhang J;Zhang F
使用多色可见光对多个神经元群体进行独立的光遗传学操作提供了复杂的脑功能和行为解剖的能力。为了减轻侵入性纤维插入，具有深组织穿透的红外光可激发上转换纳米颗粒（UCNP）已经在光遗传学中实现。然而，由于由多个发射峰诱导的色彩串扰，常规UCNP或其混合物不能独立地激活多个靶向神经元群体。在这里，我们报告了通过精心设计的具有激发特异性发光的三色UCNPs的近红外多色光遗传学。蓝色、绿色和红色发射可以通过切换激发波长来分别调谐，以匹配光遗传蛋白ChR2、C1V1和ChrimsonR的相应光谱分布，这使得能够选择性激活三种不同的神经元群体。这种强度可调的刺激不仅可以选择性地激活不同的神经元群体，而且可以实现清醒小鼠运动行为的经颅选择性调节，这为多色上转换光遗传学开辟了可能性。
Using multi-color visible lights for independent optogenetic manipulation of multiple neuronal populations offers the ability for sophisticated brain functions and behavior dissection. To mitigate invasive fiber insertion, infrared light excitable upconversion nanoparticles (UCNPs) with deep tissue penetration have been implemented in optogenetics. However, due to the chromatic crosstalk induced by the multiple emission peaks, conventional UCNPs or their mixture cannot independently activate multiple targeted neuronal populations. Here, we report NIR multi-color optogenetics by the well-designed trichromatic UCNPs with excitation-specific luminescence. The blue, green and red color emissions can be separately tuned by switching excitation wavelength to match respective spectral profiles of optogenetic proteins ChR2, C1V1 and ChrimsonR, which enables selective activation of three distinct neuronal populations. Such stimulation with tunable intensity can not only activate distinct neuronal populations selectively, but also achieve transcranial selective modulation of the motion behavior of awake-mice, which opens up a possibility of multi-color upconversion optogenetics.
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特定中间神经元的激活可提高 V1 特征选择性和视觉感知。
影响因子：
64.8
作者：
Lee, Seung-Hee;Kwan, Alex C.;Zhang, Siyu;Phoumthipphavong, Victoria;Flannery, John G.;Masmanidis, Sotiris C.;Taniguchi, Hiroki;Huang, Z. Josh;Zhang, Feng;Boyden, Edward S.;Deisseroth, Karl;Dan, Yang
通讯作者：
Dan, Yang
影响因子：
14.8
作者：
Gnanasammandhan, Muthu Kumara;Idris, Niagara Muhammad;Zhang, Yong
通讯作者：
Zhang, Yong
影响因子：
16.6
作者：
Li, Xiaomin;Guo, Zhenzhen;Zhang, Fan
通讯作者：
Zhang, Fan
影响因子：
28.1
作者：
Jiang, Yuanwen;Li, Xiaojian;Tian, Bozhi
通讯作者：
Tian, Bozhi
影响因子：
16.6
作者：
通讯作者：
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