StomachDB: An Integrated Multi-Omics Database for Gastric Diseases

Gastric diseases represent a significant challenge to global health. A comprehensive understanding of their complex molecular mechanisms, particularly the pathways of molecular progression in precancerous lesions, is essential for enhancing diagnosis and treatment. StomachDB, the first comprehensive multi-omics database dedicated to gastric diseases, has been developed to address these research needs. This database integrates 6 types of biological data: genomics, transcriptomics, emerging single-cell and spatial transcriptomics, proteomics, metabolomics, and therapeutic-related information. It encompasses 44 gastric-related pathologies, including various forms of gastric cancer, gastric ulcers, and gastritis, primarily involving humans and mice as model organisms. The database compiles approximately 2.5 million curated and standardized profiles, along with 268,394 disease-gene associations. The user-friendly analytics platform provides tools for browsing, querying, visualizing, and downloading data, facilitating systematic exploration of multi-omics features. This integrative approach addresses the limitations of single-omics analyses, such as data heterogeneity and insufficient analytical dimensions. Researchers can investigate the clinical significance of target genes (e.g., <i>CDH1</i>) across different omics levels and explore potential regulatory mechanisms. Furthermore, StomachDB emphasizes the discovery of therapeutic targets by cataloging interactions among chemical drugs, traditional herbal medicines, and probiotics. As an open-access resource, it serves as a powerful tool for studying complex biological interactions and regulatory mechanisms.

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Publication Details

Journal
Biology
Published
2025-10-24
DOI
https://doi.org/10.3390/biology14111484
Citations
2
Primary Topic
Diet and metabolism studies
Type
article
Field-Weighted Citation Impact
2.33

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article

StomachDB: An Integrated Multi-Omics Database for Gastric Diseases

Gang Wang, Mingyu Lai, Sanqi An, Shiou Yih Lee et al.
2 citations
Biology
Diet and metabolism studies
2.33
article

StomachDB: An Integrated Multi-Omics Database for Gastric Diseases

Gang Wang, Mingyu Lai, Sanqi An, Shiou Yih Lee, Xiaojuan Wang, Zhe Sun
article en
2 citations

Abstract

Gastric diseases represent a significant challenge to global health. A comprehensive understanding of their complex molecular mechanisms, particularly the pathways of molecular progression in precancerous lesions, is essential for enhancing diagnosis and treatment. StomachDB, the first comprehensive multi-omics database dedicated to gastric diseases, has been developed to address these research needs. This database integrates 6 types of biological data: genomics, transcriptomics, emerging single-cell and spatial transcriptomics, proteomics, metabolomics, and therapeutic-related information. It encompasses 44 gastric-related pathologies, including various forms of gastric cancer, gastric ulcers, and gastritis, primarily involving humans and mice as model organisms. The database compiles approximately 2.5 million curated and standardized profiles, along with 268,394 disease-gene associations. The user-friendly analytics platform provides tools for browsing, querying, visualizing, and downloading data, facilitating systematic exploration of multi-omics features. This integrative approach addresses the limitations of single-omics analyses, such as data heterogeneity and insufficient analytical dimensions. Researchers can investigate the clinical significance of target genes (e.g., <i>CDH1</i>) across different omics levels and explore potential regulatory mechanisms. Furthermore, StomachDB emphasizes the discovery of therapeutic targets by cataloging interactions among chemical drugs, traditional herbal medicines, and probiotics. As an open-access resource, it serves as a powerful tool for studying complex biological interactions and regulatory mechanisms.

BiologyVol. 14(11)
INTI International University (MY), Guangxi Medical University (CN), Northwest University (CN), First Affiliated Hospital of GuangXi Medical University (CN), Guangxi Academy of Sciences (CN)
Natural Science Foundation of Guangxi Province
Openalex Percentile: Top 10%
Diet and metabolism studies
2.33
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