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StomachDB: An Integrated Multi-Omics Database for Gastric Diseases.

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StomachDB is a new multi-omics database for gastric diseases, integrating diverse data types to advance understanding of molecular progression and identify therapeutic targets for conditions like gastric cancer.

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Area of Science:

  • Gastroenterology and Molecular Biology
  • Bioinformatics and Computational Biology

Background:

  • Gastric diseases pose a significant global health burden.
  • Understanding molecular progression in precancerous lesions is crucial for improved diagnosis and treatment.
  • Existing research often limited by single-omics approaches.

Purpose of the Study:

  • To introduce StomachDB, the first comprehensive multi-omics database for gastric diseases.
  • To provide an integrated platform for exploring complex molecular mechanisms.
  • To facilitate the discovery of diagnostic markers and therapeutic targets.

Main Methods:

  • Integrated 6 types of biological data: genomics, transcriptomics (including single-cell and spatial), proteomics, metabolomics, and therapeutic information.
  • Compiled data for 44 gastric-related pathologies in humans and mice.
  • Developed a user-friendly analytics platform for data querying, visualization, and download.

Main Results:

  • StomachDB contains ~2.5 million curated profiles and 268,394 disease-gene associations.
  • The database enables investigation of gene significance (e.g., CDH1) across omics levels.
  • Identified potential therapeutic targets through cataloging drug, herbal medicine, and probiotic interactions.

Conclusions:

  • StomachDB offers a powerful, open-access resource for studying gastric disease molecular mechanisms.
  • The integrative multi-omics approach overcomes limitations of single-omics analyses.
  • Facilitates systematic exploration of biological interactions and regulatory pathways for enhanced gastric disease research.