About Metabolomics

  • What is Metabolomics?

    Metabolomics is the scientific study of chemical processes involving metabolites.

    Specifically, metabolomics is the "systematic study of the unique chemical fingerprints that specific cellular processes leave behind", the study of their small-molecule metabolite profiles.

    The metabolome represents the collection of all metabolites in a biological cell, tissue, organ or organism, which are the end products of cellular processes.

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  • Explore Data & Tools

    Metabolomics is a tool for either discovering cellular responses to external stimuli such as toxicant administration or cataloging metabolic pathways in health and disease.

    In addition to examining endogenous molecular changes in response to stimuli, metabolomics can equally be applied to the examination of xenobiotic metabolites, the footprints of cellular metabolism that are left on xenobiotic molecules.

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  • Metabolomics Processes

    Address fundamentally essential aspects of any metabolomic study based on liquid chromatography coupled with mass spectrometry.

  • Metabolomics Research

    Help define key metabolic changes in the liver metabolome to aid research into a variety of diseases including hepatic steatosis, inflammation, and drug toxicity.

  • Metabolomics Standards & Protocols

    Optimize and standardize the most essential steps when conducting a metabolomic study.

About This Site

The Metabolomics Explorer was created to provide easy access to Metabolomics data.

The data, housed by the DataCommons@PSU, is searchable and downloadable via the DataCommons interface.

The datacommons@psu was developed to provide a resource for data sharing, discovery, and archiving for the Penn State research and teaching community. Access to information is vital to the research, teaching, and outreach conducted at Penn State. The datacommons@psu serves as a data discovery tool, a data archive for research data created by PSU for projects funded by agencies.

Current Research

Metabolomics, or the study of chemical fingerprints that biological processes leave behind, is a rapidly advancing discipline that has great promise to improve our understanding of these pathological conditions. However, there remain significant gaps in our understanding of how extraction methodologies and separation approaches influence the data used in downstream chemometric analyses.