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Updated: Jun 26, 2026

Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts
09:01

Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts

Published on: September 21, 2014

Data-driven optimization of metabolomics methods using rat liver samples.

Gauri S Parab1, Raghuraj Rao, Samavedham Lakshminarayanan

  • 1Department of Biological Sciences, National University of Singapore, 117543 Singapore.

Analytical Chemistry
|January 15, 2009
PubMed
Summary
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This study optimized a mass spectrometry workflow for metabolite analysis in rat liver tissue. This robust metabolomics platform aids in discovering early biomarkers for heat stress tolerance and adaptation.

Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Biomarker Discovery

Background:

  • Metabolomics aims to comprehensively analyze metabolites in biological systems.
  • Developing early biomarkers for heat stress tolerance is crucial for mammalian health.
  • Mammalian cell biochemical phenotypes require detailed investigation.

Purpose of the Study:

  • To establish an optimized mass spectrometry (MS) workflow for metabolite profiling in rat tissues.
  • To develop a metabolomics approach for identifying early biomarkers of heat stress tolerance.
  • To investigate the biochemical phenotype of mammalian cells related to stress adaptation.

Main Methods:

  • Optimized sample preparation involving homogenization, acidification, and solid-phase extraction (SPE).

More Related Videos

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Related Experiment Videos

Last Updated: Jun 26, 2026

Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts
09:01

Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts

Published on: September 21, 2014

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

  • Tested 18 combinations of buffers, acids, and SPE cartridges for metabolite extraction.
  • Utilized mass spectrometry for metabolite profiling and analyzed data using MATLAB algorithms.

    • Main Results:

    • Developed a robust and sensitive mass spectrometry workflow for rat tissue metabolomics.
    • Established a reproducible platform for metabolite analysis, assessing linearity and repeatability.
    • Demonstrated the utility of the platform for future biomarker discovery.

    Conclusions:

    • The optimized metabolomics platform provides a foundation for identifying metabolite markers.
    • This research supports the early diagnosis of heat stress and associated tissue damage.
    • The developed workflow is essential for advancing heat stress tolerance research in mammals.