| Literature DB >> 32059778 |
Shan Zhao1, Mihail Ivilinov Todorov2, Ruiyao Cai3, Rami Ai -Maskari4, Hanno Steinke5, Elisabeth Kemter6, Hongcheng Mai3, Zhouyi Rong3, Martin Warmer7, Karen Stanic8, Oliver Schoppe9, Johannes Christian Paetzold10, Benno Gesierich11, Milagros N Wong12, Tobias B Huber12, Marco Duering13, Oliver Thomas Bruns7, Bjoern Menze10, Jan Lipfert14, Victor G Puelles15, Eckhard Wolf6, Ingo Bechmann5, Ali Ertürk16.
Abstract
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.Entities:
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Year: 2020 PMID: 32059778 PMCID: PMC7557154 DOI: 10.1016/j.cell.2020.01.030
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582