Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease

Allam, Hu, et al. present SpatialViz, a suite of algorithms to explore spatial relationships in multiplexed tissue images by visualizing and quantifying single-cell granularity and anatomical complexity in diverse multiplexed tissue imaging data. The authors employ SpatialViz on 20-plex protein data...

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Main Authors:	Mayar Allam, Thomas Hu, Shuangyi Cai, Krishnan Laxminarayanan, Robert B. Hughley, Ahmet F. Coskun
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-05-01
Series:	Communications Biology
Online Access:	https://doi.org/10.1038/s42003-021-02166-2

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spelling	doaj-58ad3fe1ce344e29a65c37672e679c0a2021-05-30T11:30:49ZengNature Publishing GroupCommunications Biology2399-36422021-05-014111610.1038/s42003-021-02166-2Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and diseaseMayar Allam0Thomas Hu1Shuangyi Cai2Krishnan Laxminarayanan3Robert B. Hughley4Ahmet F. Coskun5Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityParker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of TechnologyParker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of TechnologyWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityAllam, Hu, et al. present SpatialViz, a suite of algorithms to explore spatial relationships in multiplexed tissue images by visualizing and quantifying single-cell granularity and anatomical complexity in diverse multiplexed tissue imaging data. The authors employ SpatialViz on 20-plex protein data in tissue sections from normal and chronic tonsillitis cases and observe GrB and CD86 coexpression and CD3 + CD4+ enrichment in diseased tonsils compared to healthy tonsils, and demonstrate the utility of SpatialViz as a wide-application spatial visualization method.https://doi.org/10.1038/s42003-021-02166-2
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Mayar Allam Thomas Hu Shuangyi Cai Krishnan Laxminarayanan Robert B. Hughley Ahmet F. Coskun
spellingShingle	Mayar Allam Thomas Hu Shuangyi Cai Krishnan Laxminarayanan Robert B. Hughley Ahmet F. Coskun Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease Communications Biology
author_facet	Mayar Allam Thomas Hu Shuangyi Cai Krishnan Laxminarayanan Robert B. Hughley Ahmet F. Coskun
author_sort	Mayar Allam
title	Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease
title_short	Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease
title_full	Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease
title_fullStr	Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease
title_full_unstemmed	Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease
title_sort	spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease
publisher	Nature Publishing Group
series	Communications Biology
issn	2399-3642
publishDate	2021-05-01
description	Allam, Hu, et al. present SpatialViz, a suite of algorithms to explore spatial relationships in multiplexed tissue images by visualizing and quantifying single-cell granularity and anatomical complexity in diverse multiplexed tissue imaging data. The authors employ SpatialViz on 20-plex protein data in tissue sections from normal and chronic tonsillitis cases and observe GrB and CD86 coexpression and CD3 + CD4+ enrichment in diseased tonsils compared to healthy tonsils, and demonstrate the utility of SpatialViz as a wide-application spatial visualization method.
url	https://doi.org/10.1038/s42003-021-02166-2
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Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease

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