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MACC: a visual interactive knowledgebase of metabolite-associated cell communications.

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We developed the first human metabolite-associated cell communications (MACC) knowledgebase. It details 4206 interactions, 244 metabolites, and links to biological functions and diseases, aiding research.

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Area of Science:

  • Cellular biology
  • Metabolomics
  • Systems biology

Background:

  • Metabolite-associated cell communications are crucial for human biological functions.
  • Existing research lacks a centralized database for these interactions.

Purpose of the Study:

  • To create the first comprehensive knowledgebase (MACC) for human metabolite-associated cell communications.
  • To curate and integrate data from experimental literature.

Main Methods:

  • Developed the MACC knowledgebase by curating experimental literature.
  • Included 4206 metabolite-associated cell communication pairs, 244 metabolites, 226 cell subtypes, and 296 disease states.
  • Integrated data on 4508 metabolite-related enzymes/transporters, 542 pathways, and single-cell expression profiles.

Main Results:

  • The MACC database contains 4206 curated metabolite-associated cell communication pairs.
  • It encompasses 244 human endogenous metabolites, 226 cell subtypes, and 296 disease states.
  • Features include an interactive network visualization tool and cross-links to major biological databases.

Conclusions:

  • MACC provides a valuable resource for understanding cell-cell communication via metabolites.
  • It offers new perspectives complementary to ligand-receptor interactions.
  • The knowledgebase facilitates research into metabolite roles in health and disease.