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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Autores principales: Mayar Allam, Thomas Hu, Shuangyi Cai, Krishnan Laxminarayanan, Robert B. Hughley, Ahmet F. Coskun
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/58ad3fe1ce344e29a65c37672e679c0a
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spelling oai:doaj.org-article:58ad3fe1ce344e29a65c37672e679c0a2021-12-02T14:47:37ZSpatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease10.1038/s42003-021-02166-22399-3642https://doaj.org/article/58ad3fe1ce344e29a65c37672e679c0a2021-05-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02166-2https://doaj.org/toc/2399-3642Allam, 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.Mayar AllamThomas HuShuangyi CaiKrishnan LaxminarayananRobert B. HughleyAhmet F. CoskunNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-16 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
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
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.
format article
author Mayar Allam
Thomas Hu
Shuangyi Cai
Krishnan Laxminarayanan
Robert B. Hughley
Ahmet F. Coskun
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 Portfolio
publishDate 2021
url https://doaj.org/article/58ad3fe1ce344e29a65c37672e679c0a
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AT krishnanlaxminarayanan spatiallyvisualizedsinglecellpathologyofhighlymultiplexedproteinprofilesinhealthanddisease
AT robertbhughley spatiallyvisualizedsinglecellpathologyofhighlymultiplexedproteinprofilesinhealthanddisease
AT ahmetfcoskun spatiallyvisualizedsinglecellpathologyofhighlymultiplexedproteinprofilesinhealthanddisease
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