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Related Experiment Video

Updated: Jul 18, 2026

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
10:36

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer

Published on: March 17, 2016

Integrating metabolomics and transcriptomics for probing SE anticancer mechanisms.

Teresa W-M Fan1, Richard M Higashi, Andrew N Lane

  • 1James Graham Brown Cancer Center, University of Louisville, Louisville, Kentucky 40202, USA. teresa.fan@louisville.edu

Drug Metabolism Reviews
|December 6, 2006
PubMed
Summary

This study explored how selenium compounds affect human lung cancer cells by analyzing gene expression and metabolism. Researchers discovered new insights into cancer

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Cancer Research

Background:

  • Transcriptomics, proteomics, and metabolomics are key for understanding biological systems.
  • Integrating these 'omics' approaches provides a comprehensive view of cellular processes.
  • Investigating anticancer mechanisms requires understanding cellular metabolism and gene expression.

Purpose of the Study:

  • To investigate the anticancer mechanisms of different selenium forms in human lung cancer cells.
  • To link metabolic changes induced by selenium to gene expression alterations.
  • To reveal insights into the regulatory networks underlying cancer cell metabolism and gene expression.

Main Methods:

  • Utilized Nuclear Magnetic Resonance (NMR) and mass spectrometry (MS) for metabolomic analysis.

Related Experiment Videos

Last Updated: Jul 18, 2026

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
10:36

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer

Published on: March 17, 2016

  • Employed 2-D NMR and tandem-MS to map metabolic perturbations using 13C labeling.
  • Integrated metabolomic data with transcriptomic analysis to interpret cellular responses.

    • Main Results:

    • Identified metabolic dysfunctions in human lung cancer cells treated with selenite and selenomethionine.
    • Mapped specific metabolite changes induced by different selenium forms.
    • Linked observed metabolic alterations to specific changes in gene expression networks.

    Conclusions:

    • Connecting metabolic dysfunctions with altered gene expression provides novel insights into cancer regulatory networks.
    • This integrated 'omics' approach facilitates the assembly of gene expression events into functional pathways.
    • The study identified potential protein targets for further proteomic investigation in cancer research.