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SMDB: a Spatial Multimodal Data Browser

Understanding the relationship between fine-scale spatial organization and biological function necessitates a tool that effectively combines spatial positions, morphological information, and spatial transcriptomics (ST) data. We introduce the Spatial Multimodal Data Browser (SMDB, https://www.biosin...

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Detalles Bibliográficos
Autores principales: Cao, Ruifang, Ling, Yunchao, Meng, Jiayue, Jiang, Ao, Luo, Ruijin, He, Qinwen, Li, Anan, Chen, Yujie, Zhang, Zoutao, Liu, Feng, Li, Yixue, Zhang, Guoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320082/
https://www.ncbi.nlm.nih.gov/pubmed/37216588
http://dx.doi.org/10.1093/nar/gkad413
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author Cao, Ruifang
Ling, Yunchao
Meng, Jiayue
Jiang, Ao
Luo, Ruijin
He, Qinwen
Li, Anan
Chen, Yujie
Zhang, Zoutao
Liu, Feng
Li, Yixue
Zhang, Guoqing
author_facet Cao, Ruifang
Ling, Yunchao
Meng, Jiayue
Jiang, Ao
Luo, Ruijin
He, Qinwen
Li, Anan
Chen, Yujie
Zhang, Zoutao
Liu, Feng
Li, Yixue
Zhang, Guoqing
author_sort Cao, Ruifang
collection PubMed
description Understanding the relationship between fine-scale spatial organization and biological function necessitates a tool that effectively combines spatial positions, morphological information, and spatial transcriptomics (ST) data. We introduce the Spatial Multimodal Data Browser (SMDB, https://www.biosino.org/smdb), a robust visualization web service for interactively exploring ST data. By integrating multimodal data, such as hematoxylin and eosin (H&E) images, gene expression-based molecular clusters, and more, SMDB facilitates the analysis of tissue composition through the dissociation of two-dimensional (2D) sections and the identification of gene expression-profiled boundaries. In a digital three-dimensional (3D) space, SMDB allows researchers to reconstruct morphology visualizations based on manually filtered spots or expand anatomical structures using high-resolution molecular subtypes. To enhance user experience, it offers customizable workspaces for interactive exploration of ST spots in tissues, providing features like smooth zooming, panning, 360-degree rotation in 3D and adjustable spot scaling. SMDB is particularly valuable in neuroscience and spatial histology studies, as it incorporates Allen's mouse brain anatomy atlas for reference in morphological research. This powerful tool provides a comprehensive and efficient solution for examining the intricate relationships between spatial morphology, and biological function in various tissues.
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spelling pubmed-103200822023-07-06 SMDB: a Spatial Multimodal Data Browser Cao, Ruifang Ling, Yunchao Meng, Jiayue Jiang, Ao Luo, Ruijin He, Qinwen Li, Anan Chen, Yujie Zhang, Zoutao Liu, Feng Li, Yixue Zhang, Guoqing Nucleic Acids Res Web Server Issue Understanding the relationship between fine-scale spatial organization and biological function necessitates a tool that effectively combines spatial positions, morphological information, and spatial transcriptomics (ST) data. We introduce the Spatial Multimodal Data Browser (SMDB, https://www.biosino.org/smdb), a robust visualization web service for interactively exploring ST data. By integrating multimodal data, such as hematoxylin and eosin (H&E) images, gene expression-based molecular clusters, and more, SMDB facilitates the analysis of tissue composition through the dissociation of two-dimensional (2D) sections and the identification of gene expression-profiled boundaries. In a digital three-dimensional (3D) space, SMDB allows researchers to reconstruct morphology visualizations based on manually filtered spots or expand anatomical structures using high-resolution molecular subtypes. To enhance user experience, it offers customizable workspaces for interactive exploration of ST spots in tissues, providing features like smooth zooming, panning, 360-degree rotation in 3D and adjustable spot scaling. SMDB is particularly valuable in neuroscience and spatial histology studies, as it incorporates Allen's mouse brain anatomy atlas for reference in morphological research. This powerful tool provides a comprehensive and efficient solution for examining the intricate relationships between spatial morphology, and biological function in various tissues. Oxford University Press 2023-05-22 /pmc/articles/PMC10320082/ /pubmed/37216588 http://dx.doi.org/10.1093/nar/gkad413 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Cao, Ruifang
Ling, Yunchao
Meng, Jiayue
Jiang, Ao
Luo, Ruijin
He, Qinwen
Li, Anan
Chen, Yujie
Zhang, Zoutao
Liu, Feng
Li, Yixue
Zhang, Guoqing
SMDB: a Spatial Multimodal Data Browser
title SMDB: a Spatial Multimodal Data Browser
title_full SMDB: a Spatial Multimodal Data Browser
title_fullStr SMDB: a Spatial Multimodal Data Browser
title_full_unstemmed SMDB: a Spatial Multimodal Data Browser
title_short SMDB: a Spatial Multimodal Data Browser
title_sort smdb: a spatial multimodal data browser
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320082/
https://www.ncbi.nlm.nih.gov/pubmed/37216588
http://dx.doi.org/10.1093/nar/gkad413
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