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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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. |
format | Online Article Text |
id | pubmed-10320082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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