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Updated: Aug 3, 2025
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Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
Published on: November 10, 2023
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MACdb: A Curated Knowledgebase for Metabolic Associations across Human Cancers
Yanling Sun1,2, Xinchang Zheng1,2, Guoliang Wang1,2,3
1National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.
Molecular Cancer Research : MCR
|April 7, 2023
Summary
MACdb is a new knowledgebase linking metabolites and cancers, curated from publications. It aids researchers in identifying crucial metabolic markers for cancer diagnosis and treatment.
Area of Science:
- Biochemistry
- Oncology
- Bioinformatics
Background:
- Metabolomics is vital in cancer research for diagnosis and treatment.
- Metabolites play a crucial role in cancer progression and can serve as biomarkers.
Purpose of the Study:
- To develop MACdb, a manually curated knowledgebase of cancer-metabolite associations.
- To provide a comprehensive resource for exploring and analyzing these associations.
Main Methods:
- Manual curation of 1,127 studies from 462 publications.
- Integration of 40,710 cancer-metabolite associations across 17 cancer types.
- Development of knowledge graph, NameToCid, and Enrichment tools.
Main Results:
- MACdb contains 40,710 curated cancer-metabolite associations.
- The knowledgebase covers 267 traits from 17 high-incidence/mortality cancer categories.
- Includes tools for exploring multi-dimensional associations and enriching data.
Conclusions:
- MACdb offers a practical resource for evaluating cancer-metabolite associations.
- It has significant potential to help identify predictive metabolic markers in cancer research.
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