STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization

Zhicheng Xu(China National GeneBank), Weiwen Wang(China National GeneBank), Tao Yang(China National GeneBank), Ling Li(China National GeneBank), Xizheng Ma(China National GeneBank), Jing Chen(China National GeneBank), Jieyu Wang(China National GeneBank), Yan Huang(BGI Group (China)), Joshua Gould(Broad Institute), Huifang Lü(BGI Group (China)), Wensi Du(China National GeneBank), Sunil Kumar Sahu(BGI Group (China)), Fan Yang(China National GeneBank), Zhiyong Li(BGI Research), Qingjiang Hu(China National GeneBank), Cong Hua(BGI Research), Shoujie Hu(China National GeneBank), Yiqun Liu(China National GeneBank), Jia Cai(BGI Research), Lijin You(China National GeneBank), Yong Zhang(BGI Group (China)), Yuxiang Li(BGI Group (China)), Wenjun Zeng(China National GeneBank), Ao Chen(BGI Group (China)), Bo Wang(China National GeneBank), Longqi Liu(BGI Group (China)), Fengzhen Chen(BGI Group (China)), Kailong Ma(China National GeneBank), Xun Xu(BGI Group (China)), Xiaofeng Wei(BGI Group (China))
Nucleic Acids Research
November 11, 2023
Cited by 145Open Access
Full Text

Abstract

Recent technological developments in spatial transcriptomics allow researchers to measure gene expression of cells and their spatial locations at the single-cell level, generating detailed biological insight into biological processes. A comprehensive database could facilitate the sharing of spatial transcriptomic data and streamline the data acquisition process for researchers. Here, we present the Spatial TranscriptOmics DataBase (STOmicsDB), a database that serves as a one-stop hub for spatial transcriptomics. STOmicsDB integrates 218 manually curated datasets representing 17 species. We annotated cell types, identified spatial regions and genes, and performed cell-cell interaction analysis for these datasets. STOmicsDB features a user-friendly interface for the rapid visualization of millions of cells. To further facilitate the reusability and interoperability of spatial transcriptomic data, we developed standards for spatial transcriptomic data archiving and constructed a spatial transcriptomic data archiving system. Additionally, we offer a distinctive capability of customizing dedicated sub-databases in STOmicsDB for researchers, assisting them in visualizing their spatial transcriptomic analyses. We believe that STOmicsDB could contribute to research insights in the spatial transcriptomics field, including data archiving, sharing, visualization and analysis. STOmicsDB is freely accessible at https://db.cngb.org/stomics/.


Related Papers

No related papers found

Powered by citation graph analysis