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Updated: Jul 11, 2025

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

Zhicheng Xu1, Weiwen Wang1, Tao Yang1

  • 1China National GeneBank, BGI Research, Shenzhen 518120, China.

Nucleic Acids Research
|November 12, 2023
PubMed
Summary
This summary is machine-generated.

The Spatial TranscriptOmics DataBase (STOmicsDB) offers a centralized resource for spatial transcriptomics data. This comprehensive database facilitates data sharing, visualization, and analysis across multiple species, advancing biological insights.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Cell Biology

Background:

  • Spatial transcriptomics enables single-cell gene expression analysis with spatial context.
  • A unified platform is needed to manage and access diverse spatial transcriptomics datasets.

Purpose of the Study:

  • To introduce the Spatial TranscriptOmics DataBase (STOmicsDB) as a comprehensive resource for spatial transcriptomics data.
  • To facilitate data sharing, visualization, and analysis for researchers in the field.

Main Methods:

  • Integrated 218 manually curated spatial transcriptomics datasets across 17 species.
  • Annotated cell types, spatial regions, and genes; performed cell-cell interaction analysis.
  • Developed data archiving standards and a system for enhanced data reusability.

Main Results:

  • STOmicsDB provides a user-friendly interface for visualizing millions of cells.
  • The database supports customized sub-databases for specific research needs.
  • Facilitated data archiving, sharing, visualization, and analysis of spatial transcriptomics data.

Conclusions:

  • STOmicsDB serves as a valuable, accessible hub for spatial transcriptomics research.
  • The database promotes data interoperability and advances biological discoveries.
  • Enables efficient exploration and analysis of complex spatial gene expression patterns.