Cargando…
OrganoidDB: a comprehensive organoid database for the multi-perspective exploration of bulk and single-cell transcriptomic profiles of organoids
Organoids, three-dimensional in vitro tissue cultures derived from pluripotent (embryonic or induced) or adult stem cells, are promising models for the study of human processes and structures, disease onset and preclinical drug development. An increasing amount of omics data has been generated for o...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825539/ https://www.ncbi.nlm.nih.gov/pubmed/36271792 http://dx.doi.org/10.1093/nar/gkac942 |
_version_ | 1784866654464770048 |
---|---|
author | Ma, Qinfeng Tao, Haodong Li, Qiang Zhai, Zhaoyu Zhang, Xuelu Lin, Zhewei Kuang, Ni Pan, Jianbo |
author_facet | Ma, Qinfeng Tao, Haodong Li, Qiang Zhai, Zhaoyu Zhang, Xuelu Lin, Zhewei Kuang, Ni Pan, Jianbo |
author_sort | Ma, Qinfeng |
collection | PubMed |
description | Organoids, three-dimensional in vitro tissue cultures derived from pluripotent (embryonic or induced) or adult stem cells, are promising models for the study of human processes and structures, disease onset and preclinical drug development. An increasing amount of omics data has been generated for organoid studies. Here, we introduce OrganoidDB (http://www.inbirg.com/organoid_db/), a comprehensive resource for the multi-perspective exploration of the transcriptomes of organoids. The current release of OrganoidDB includes curated bulk and single-cell transcriptome profiles of 16 218 organoid samples from both human and mouse. Other types of samples, such as primary tissue and cell line samples, are also integrated to enable comparisons with organoids. OrganoidDB enables queries of gene expression under different modes, e.g. across different organoid types, between different organoids from different sources or protocols, between organoids and other sample types, across different development stages, and via correlation analysis. Datasets and organoid samples can also be browsed for detailed information, including organoid information, differentially expressed genes, enriched pathways and single-cell clustering. OrganoidDB will facilitate a better understanding of organoids and help improve organoid culture protocols to yield organoids that are highly similar to living organs in terms of composition, architecture and function. |
format | Online Article Text |
id | pubmed-9825539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98255392023-01-10 OrganoidDB: a comprehensive organoid database for the multi-perspective exploration of bulk and single-cell transcriptomic profiles of organoids Ma, Qinfeng Tao, Haodong Li, Qiang Zhai, Zhaoyu Zhang, Xuelu Lin, Zhewei Kuang, Ni Pan, Jianbo Nucleic Acids Res Database Issue Organoids, three-dimensional in vitro tissue cultures derived from pluripotent (embryonic or induced) or adult stem cells, are promising models for the study of human processes and structures, disease onset and preclinical drug development. An increasing amount of omics data has been generated for organoid studies. Here, we introduce OrganoidDB (http://www.inbirg.com/organoid_db/), a comprehensive resource for the multi-perspective exploration of the transcriptomes of organoids. The current release of OrganoidDB includes curated bulk and single-cell transcriptome profiles of 16 218 organoid samples from both human and mouse. Other types of samples, such as primary tissue and cell line samples, are also integrated to enable comparisons with organoids. OrganoidDB enables queries of gene expression under different modes, e.g. across different organoid types, between different organoids from different sources or protocols, between organoids and other sample types, across different development stages, and via correlation analysis. Datasets and organoid samples can also be browsed for detailed information, including organoid information, differentially expressed genes, enriched pathways and single-cell clustering. OrganoidDB will facilitate a better understanding of organoids and help improve organoid culture protocols to yield organoids that are highly similar to living organs in terms of composition, architecture and function. Oxford University Press 2022-10-22 /pmc/articles/PMC9825539/ /pubmed/36271792 http://dx.doi.org/10.1093/nar/gkac942 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 Ma, Qinfeng Tao, Haodong Li, Qiang Zhai, Zhaoyu Zhang, Xuelu Lin, Zhewei Kuang, Ni Pan, Jianbo OrganoidDB: a comprehensive organoid database for the multi-perspective exploration of bulk and single-cell transcriptomic profiles of organoids |
title | OrganoidDB: a comprehensive organoid database for the multi-perspective exploration of bulk and single-cell transcriptomic profiles of organoids |
title_full | OrganoidDB: a comprehensive organoid database for the multi-perspective exploration of bulk and single-cell transcriptomic profiles of organoids |
title_fullStr | OrganoidDB: a comprehensive organoid database for the multi-perspective exploration of bulk and single-cell transcriptomic profiles of organoids |
title_full_unstemmed | OrganoidDB: a comprehensive organoid database for the multi-perspective exploration of bulk and single-cell transcriptomic profiles of organoids |
title_short | OrganoidDB: a comprehensive organoid database for the multi-perspective exploration of bulk and single-cell transcriptomic profiles of organoids |
title_sort | organoiddb: a comprehensive organoid database for the multi-perspective exploration of bulk and single-cell transcriptomic profiles of organoids |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825539/ https://www.ncbi.nlm.nih.gov/pubmed/36271792 http://dx.doi.org/10.1093/nar/gkac942 |
work_keys_str_mv | AT maqinfeng organoiddbacomprehensiveorganoiddatabaseforthemultiperspectiveexplorationofbulkandsinglecelltranscriptomicprofilesoforganoids AT taohaodong organoiddbacomprehensiveorganoiddatabaseforthemultiperspectiveexplorationofbulkandsinglecelltranscriptomicprofilesoforganoids AT liqiang organoiddbacomprehensiveorganoiddatabaseforthemultiperspectiveexplorationofbulkandsinglecelltranscriptomicprofilesoforganoids AT zhaizhaoyu organoiddbacomprehensiveorganoiddatabaseforthemultiperspectiveexplorationofbulkandsinglecelltranscriptomicprofilesoforganoids AT zhangxuelu organoiddbacomprehensiveorganoiddatabaseforthemultiperspectiveexplorationofbulkandsinglecelltranscriptomicprofilesoforganoids AT linzhewei organoiddbacomprehensiveorganoiddatabaseforthemultiperspectiveexplorationofbulkandsinglecelltranscriptomicprofilesoforganoids AT kuangni organoiddbacomprehensiveorganoiddatabaseforthemultiperspectiveexplorationofbulkandsinglecelltranscriptomicprofilesoforganoids AT panjianbo organoiddbacomprehensiveorganoiddatabaseforthemultiperspectiveexplorationofbulkandsinglecelltranscriptomicprofilesoforganoids |