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Aquila: a spatial omics database and analysis platform
Spatial omics is a rapidly evolving approach for exploring tissue microenvironment and cellular networks by integrating spatial knowledge with transcript or protein expression information. However, there is a lack of databases for users to access and analyze spatial omics data. To address this limit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825501/ https://www.ncbi.nlm.nih.gov/pubmed/36243967 http://dx.doi.org/10.1093/nar/gkac874 |
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author | Zheng, Yimin Chen, Yitian Ding, Xianting Wong, Koon Ho Cheung, Edwin |
author_facet | Zheng, Yimin Chen, Yitian Ding, Xianting Wong, Koon Ho Cheung, Edwin |
author_sort | Zheng, Yimin |
collection | PubMed |
description | Spatial omics is a rapidly evolving approach for exploring tissue microenvironment and cellular networks by integrating spatial knowledge with transcript or protein expression information. However, there is a lack of databases for users to access and analyze spatial omics data. To address this limitation, we developed Aquila, a comprehensive platform for managing and analyzing spatial omics data. Aquila contains 107 datasets from 30 diseases, including 6500+ regions of interest, and 15.7 million cells. The database covers studies from spatial transcriptome and proteome analyses, 2D and 3D experiments, and different technologies. Aquila provides visualization of spatial omics data in multiple formats such as spatial cell distribution, spatial expression and co-localization of markers. Aquila also lets users perform many basic and advanced spatial analyses on any dataset. In addition, users can submit their own spatial omics data for visualization and analysis in a safe and secure environment. Finally, Aquila can be installed as an individual app on a desktop and offers the RESTful API service for power users to access the database. Overall, Aquila provides a detailed insight into transcript and protein expression in tissues from a spatial perspective. Aquila is available at https://aquila.cheunglab.org. |
format | Online Article Text |
id | pubmed-9825501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98255012023-01-10 Aquila: a spatial omics database and analysis platform Zheng, Yimin Chen, Yitian Ding, Xianting Wong, Koon Ho Cheung, Edwin Nucleic Acids Res Database Issue Spatial omics is a rapidly evolving approach for exploring tissue microenvironment and cellular networks by integrating spatial knowledge with transcript or protein expression information. However, there is a lack of databases for users to access and analyze spatial omics data. To address this limitation, we developed Aquila, a comprehensive platform for managing and analyzing spatial omics data. Aquila contains 107 datasets from 30 diseases, including 6500+ regions of interest, and 15.7 million cells. The database covers studies from spatial transcriptome and proteome analyses, 2D and 3D experiments, and different technologies. Aquila provides visualization of spatial omics data in multiple formats such as spatial cell distribution, spatial expression and co-localization of markers. Aquila also lets users perform many basic and advanced spatial analyses on any dataset. In addition, users can submit their own spatial omics data for visualization and analysis in a safe and secure environment. Finally, Aquila can be installed as an individual app on a desktop and offers the RESTful API service for power users to access the database. Overall, Aquila provides a detailed insight into transcript and protein expression in tissues from a spatial perspective. Aquila is available at https://aquila.cheunglab.org. Oxford University Press 2022-10-16 /pmc/articles/PMC9825501/ /pubmed/36243967 http://dx.doi.org/10.1093/nar/gkac874 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Zheng, Yimin Chen, Yitian Ding, Xianting Wong, Koon Ho Cheung, Edwin Aquila: a spatial omics database and analysis platform |
title | Aquila: a spatial omics database and analysis platform |
title_full | Aquila: a spatial omics database and analysis platform |
title_fullStr | Aquila: a spatial omics database and analysis platform |
title_full_unstemmed | Aquila: a spatial omics database and analysis platform |
title_short | Aquila: a spatial omics database and analysis platform |
title_sort | aquila: a spatial omics database and analysis platform |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825501/ https://www.ncbi.nlm.nih.gov/pubmed/36243967 http://dx.doi.org/10.1093/nar/gkac874 |
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