OrganoidDB: a comprehensive organoid database for the multi-perspective exploration of bulk and single-cell transcriptomic profiles of organoids

类有机物 生物 转录组 诱导多能干细胞 计算生物学 电池类型 胚胎干细胞 细胞生物学 细胞 基因 遗传学 基因表达
作者
Qinfeng Ma,Haodong Tao,Qiang Li,Zhaoyu Zhai,Xuelu Zhang,Zhewei Lin,Ni Kuang,Jianbo Pan
出处
期刊:Nucleic Acids Research [Oxford University Press]
卷期号:51 (D1): D1086-D1093 被引量:3
标识
DOI:10.1093/nar/gkac942
摘要

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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