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CLARITY for High-resolution Imaging and Quantification of Vasculature in the Whole Mouse Brain

Elucidating the normal structure and distribution of cerebral vascular system is fundamental for understanding its function. However, studies on visualization and whole-brain quantification of vasculature with cellular resolution are limited. Here, we explored the structure of vasculature at the who...

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Autores principales: Zhang, Lin-Yuan, Lin, Pan, Pan, Jiaji, Ma, Yuanyuan, Wei, Zhenyu, Jiang, Lu, Wang, Liping, Song, Yaying, Wang, Yongting, Zhang, Zhijun, Jin, Kunlin, Wang, Qian, Yang, Guo-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JKL International LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963347/
https://www.ncbi.nlm.nih.gov/pubmed/29896415
http://dx.doi.org/10.14336/AD.2017.0613
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author Zhang, Lin-Yuan
Lin, Pan
Pan, Jiaji
Ma, Yuanyuan
Wei, Zhenyu
Jiang, Lu
Wang, Liping
Song, Yaying
Wang, Yongting
Zhang, Zhijun
Jin, Kunlin
Wang, Qian
Yang, Guo-Yuan
author_facet Zhang, Lin-Yuan
Lin, Pan
Pan, Jiaji
Ma, Yuanyuan
Wei, Zhenyu
Jiang, Lu
Wang, Liping
Song, Yaying
Wang, Yongting
Zhang, Zhijun
Jin, Kunlin
Wang, Qian
Yang, Guo-Yuan
author_sort Zhang, Lin-Yuan
collection PubMed
description Elucidating the normal structure and distribution of cerebral vascular system is fundamental for understanding its function. However, studies on visualization and whole-brain quantification of vasculature with cellular resolution are limited. Here, we explored the structure of vasculature at the whole-brain level using the newly developed CLARITY technique. Adult male C57BL/6J mice undergoing transient middle cerebral artery occlusion and Tie2-RFP transgenic mice were used. Whole mouse brains were extracted for CLARITY processing. Immunostaining was performed to label vessels. Customized MATLAB code was used for image processing and quantification. Three-dimensional images were visualized using the Vaa3D software. Our results showed that whole mouse brain became transparent using the CLARITY method. Three-dimensional imaging and visualization of vasculature were achieved at the whole-brain level with a 1-μm voxel resolution. The quantitative results showed that the fractional vascular volume was 0.018 ± 0.004 mm(3) per mm(3), the normalized vascular length was 0.44 ± 0.04 m per mm(3), and the mean diameter of the microvessels was 4.25 ± 0.08 μm. Furthermore, a decrease in the fractional vascular volume and a decrease in the normalized vascular length were found in the penumbra of ischemic mice compared to controls (p < 0.05). In conclusion, CLARITY provides a novel approach for mapping vasculature in the whole mouse brain at cellular resolution. CLARITY-optimized algorithms facilitate the assessment of structural change in vasculature after brain injury.
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spelling pubmed-59633472018-06-12 CLARITY for High-resolution Imaging and Quantification of Vasculature in the Whole Mouse Brain Zhang, Lin-Yuan Lin, Pan Pan, Jiaji Ma, Yuanyuan Wei, Zhenyu Jiang, Lu Wang, Liping Song, Yaying Wang, Yongting Zhang, Zhijun Jin, Kunlin Wang, Qian Yang, Guo-Yuan Aging Dis Orginal Article Elucidating the normal structure and distribution of cerebral vascular system is fundamental for understanding its function. However, studies on visualization and whole-brain quantification of vasculature with cellular resolution are limited. Here, we explored the structure of vasculature at the whole-brain level using the newly developed CLARITY technique. Adult male C57BL/6J mice undergoing transient middle cerebral artery occlusion and Tie2-RFP transgenic mice were used. Whole mouse brains were extracted for CLARITY processing. Immunostaining was performed to label vessels. Customized MATLAB code was used for image processing and quantification. Three-dimensional images were visualized using the Vaa3D software. Our results showed that whole mouse brain became transparent using the CLARITY method. Three-dimensional imaging and visualization of vasculature were achieved at the whole-brain level with a 1-μm voxel resolution. The quantitative results showed that the fractional vascular volume was 0.018 ± 0.004 mm(3) per mm(3), the normalized vascular length was 0.44 ± 0.04 m per mm(3), and the mean diameter of the microvessels was 4.25 ± 0.08 μm. Furthermore, a decrease in the fractional vascular volume and a decrease in the normalized vascular length were found in the penumbra of ischemic mice compared to controls (p < 0.05). In conclusion, CLARITY provides a novel approach for mapping vasculature in the whole mouse brain at cellular resolution. CLARITY-optimized algorithms facilitate the assessment of structural change in vasculature after brain injury. JKL International LLC 2018-04-01 /pmc/articles/PMC5963347/ /pubmed/29896415 http://dx.doi.org/10.14336/AD.2017.0613 Text en Copyright: © 2018 Zhang et al. http://creativecommons.org/licenses/by/2.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Orginal Article
Zhang, Lin-Yuan
Lin, Pan
Pan, Jiaji
Ma, Yuanyuan
Wei, Zhenyu
Jiang, Lu
Wang, Liping
Song, Yaying
Wang, Yongting
Zhang, Zhijun
Jin, Kunlin
Wang, Qian
Yang, Guo-Yuan
CLARITY for High-resolution Imaging and Quantification of Vasculature in the Whole Mouse Brain
title CLARITY for High-resolution Imaging and Quantification of Vasculature in the Whole Mouse Brain
title_full CLARITY for High-resolution Imaging and Quantification of Vasculature in the Whole Mouse Brain
title_fullStr CLARITY for High-resolution Imaging and Quantification of Vasculature in the Whole Mouse Brain
title_full_unstemmed CLARITY for High-resolution Imaging and Quantification of Vasculature in the Whole Mouse Brain
title_short CLARITY for High-resolution Imaging and Quantification of Vasculature in the Whole Mouse Brain
title_sort clarity for high-resolution imaging and quantification of vasculature in the whole mouse brain
topic Orginal Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963347/
https://www.ncbi.nlm.nih.gov/pubmed/29896415
http://dx.doi.org/10.14336/AD.2017.0613
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