Tissue clearing of both hard and soft tissue organs with the PEGASOS method.
Tissue clearing of both hard and soft tissue organs with the PEGASOS method.
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DOI：
10.1038/s41422-018-0049-z
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发表时间：
2018-08
期刊：
影响因子：
44.1
通讯作者：
Zhao H
中科院分区：
文献类型：
--
作者：
Jing D;Zhang S;Luo W;Gao X;Men Y;Ma C;Liu X;Yi Y;Bugde A;Zhou BO;Zhao Z;Yuan Q;Feng JQ;Gao L;Ge WP;Zhao H
组织透明化技术通过将组织变为透明，使不透明的器官和组织能够在3维（3-D）中可视化。目前的组织清除方法受到可以用每个单独协议清除的有限类型的组织的限制，这不可避免地导致在全身或身体部位成像内存在盲点。包括骨骼和牙齿在内的硬组织仍然是最难清除的器官。此外，内源性荧光的损失仍然是基于溶剂的清除方法的主要问题。在这里，我们开发了聚乙二醇（PEG）相关的溶剂系统（PEGASOS），使几乎所有类型的组织透明，并保留内源性荧光。骨头和牙齿在清理后几乎看不见。PEGASOS方法使整个成年小鼠身体变得透明，我们能够对由骨骼，牙齿，大脑，肌肉和其他组织组成的成年小鼠头部进行成像，没有盲区。硬组织透明使我们能够重建完整的下颌骨，牙齿，股骨，或膝关节的三维。此外，我们设法以亚细胞分辨率对完整的小鼠大脑进行成像，并长距离追踪单个神经元和轴突。我们还直接通过椎骨可视化背根神经节。最后，我们揭示了神经网络在长骨骨髓空间的三维分布模式。这些结果表明，PEGASOS方法是一个有用的工具，为一般的生物医学研究。
Tissue clearing technique enables visualization of opaque organs and tissues in 3-dimensions (3-D) by turning tissue transparent. Current tissue clearing methods are restricted by limited types of tissues that can be cleared with each individual protocol, which inevitably led to the presence of blind-spots within whole body or body parts imaging. Hard tissues including bones and teeth are still the most difficult organs to be cleared. In addition, loss of endogenous fluorescence remains a major concern for solvent-based clearing methods. Here, we developed a polyethylene glycol (PEG)-associated solvent system (PEGASOS), which rendered nearly all types of tissues transparent and preserved endogenous fluorescence. Bones and teeth could be turned nearly invisible after clearing. The PEGASOS method turned the whole adult mouse body transparent and we were able to image an adult mouse head composed of bones, teeth, brain, muscles, and other tissues with no blind areas. Hard tissue transparency enabled us to reconstruct intact mandible, teeth, femur, or knee joint in 3-D. In addition, we managed to image intact mouse brain at sub-cellular resolution and to trace individual neurons and axons over a long distance. We also visualized dorsal root ganglions directly through vertebrae. Finally, we revealed the distribution pattern of neural network in 3-D within the marrow space of long bone. These results suggest that the PEGASOS method is a useful tool for general biomedical research.
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影响因子：
--
作者：
Muhammad N;Kryuchkova N;Dworeck T;Rodríguez-Ropero F;Fioroni M
通讯作者：
Fioroni M
光学成像。膨胀显微镜。
DOI：
10.1126/science.1260088
发表时间：
2015-01-30
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Chen F;Tillberg PW;Boyden ES
通讯作者：
Boyden ES
影响因子：
48
作者：
Chung, Kwanghun;Deisseroth, Karl
通讯作者：
Deisseroth, Karl
影响因子：
3.5
作者：
Kemp, Kevin;Morse, Ruth;Donaldson, Craig
通讯作者：
Donaldson, Craig
简单，可扩展的蛋白质组学成像，用于完整系统的高维分析。
影响因子：
64.5
作者：
Murray E;Cho JH;Goodwin D;Ku T;Swaney J;Kim SY;Choi H;Park YG;Park JY;Hubbert A;McCue M;Vassallo S;Bakh N;Frosch MP;Wedeen VJ;Seung HS;Chung K
通讯作者：
Chung K