期刊
CELL
卷 180, 期 4, 页码 796-+出版社
CELL PRESS
DOI: 10.1016/j.cell.2020.01.030
关键词
-
资金
- Vascular Dementia Research Foundation
- Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [390857198]
- ERA-Net Neuron [01EW1501A]
- Fritz Thyssen Stiftung [10.17.1.019MN]
- DFG [390857198, ER 810/2-1, BR 5355/2-1, CRC/1192, TRR127, SFB 1052, INST 409/193-1 FUGG]
- German Center of Diabetes Research (DZD) [82DZD00802]
- NIH
- Helmholtz ICEMED Alliance
- National Health and Medical Research Council of Australia (NHMRC)
- Humboldt Foundation
- BMBF eMed Consortia Fibromap
- NVDIA GPU grant program
- Software Campus grant
Optical tissue transparency permits scalable cellular and molecular investigation of complex tissues in 3D. Adult human organs are particularly challenging to render transparent because of the accumulation of dense and sturdy molecules in decades-aged tissues. To overcome these challenges, we developed SHANEL, a method based on a new tissue permeabilization approach to clear and label stiff human organs. We used SHANEL to render the intact adult human brain and kidney transparent and perform 3D histology with antibodies and dyes in centimeters-depth. Thereby, we revealed structural details of the intact human eye, human thyroid, human kidney, and transgenic pig pancreas at the cellular resolution. Furthermore, we developed a deep learning pipeline to analyze millions of cells in cleared human brain tissues within hours with standard lab computers. Overall, SHANEL is a robust and unbiased technology to chart the cellular and molecular architecture of large intact mammalian organs.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据