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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...

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Autores principales: Ma, Qinfeng, Tao, Haodong, Li, Qiang, Zhai, Zhaoyu, Zhang, Xuelu, Lin, Zhewei, Kuang, Ni, Pan, Jianbo
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
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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.
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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
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