Cellular and Molecular Probing of Intact Human Organs
Autor: | Martin Warmer, Hongcheng Mai, Mihail Ivilinov Todorov, Oliver Schoppe, Jan Lipfert, Ruiyao Cai, Hanno Steinke, Benno Gesierich, Elisabeth Kemter, Eckhard Wolf, Milagros N. Wong, Ali Ertürk, Zhouyi Rong, Ingo Bechmann, Oliver T. Bruns, Marco Duering, Johannes C. Paetzold, Tobias B. Huber, Shan Zhao, Rami Ai Maskari, Victor G. Puelles, Bjoern H. Menze, Karen Stanic |
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Rok vydání: | 2019 |
Předmět: |
Male
Swine Transgene Thyroid Gland Biology Eye Kidney General Biochemistry Genetics and Molecular Biology Article 03 medical and health sciences Mice 0302 clinical medicine Deep Learning Imaging Three-Dimensional Limit of Detection medicine Animals Humans Pancreas 030304 developmental biology Aged 80 and over 0303 health sciences Staining and Labeling Optical Imaging Brain Human kidney Human brain Middle Aged Cell biology medicine.anatomical_structure Cellular resolution Female Human thyroid 030217 neurology & neurosurgery Clearance |
Zdroj: | Cell Cell 180, 796-812 (2020) |
ISSN: | 1097-4172 |
Popis: | 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. |
Databáze: | OpenAIRE |
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