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Related Experiment Video

Updated: Jun 21, 2026

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

Revealing system-level correlations between aging and calorie restriction using a mouse transcriptome.

Seong-Eui Hong1, Hyoung-Sam Heo, Dae Hyun Kim

  • 1Department of Life Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.

Age (Dordrecht, Netherlands)
|July 11, 2009
PubMed
Summary
This summary is machine-generated.

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This study reveals key biological systems impacted by aging and calorie restriction (CR). It highlights immune response, lipid metabolism, and cell adhesion as crucial areas for understanding aging and CR interventions.

Area of Science:

  • Systems biology
  • Genomics
  • Aging research

Background:

  • Aging involves complex system-level declines.
  • Limited comprehensive studies exist on aging systems biology.
  • Calorie restriction (CR) is known to slow aging, but its systemic mechanisms are not fully understood.

Purpose of the Study:

  • To identify sensitive biological systems affected by aging.
  • To elucidate the systemic crosstalk between aging and CR.
  • To propose a systems biology framework for aging research.

Main Methods:

  • Analysis of 478 aging-related and 586 CR-related mouse genes.
  • Gene Ontology (GO) analysis for functional characterization.
  • Transcriptional modularity analysis to identify gene modules and interactions.

Related Experiment Videos

Last Updated: Jun 21, 2026

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

  • Prediction of transcriptional regulatory systems.

    • Main Results:

    • Aging and CR transcriptomes are strongly linked to immune response, lipid metabolism, and cell adhesion.
    • Systemic interactions were revealed, including a negative relationship between lipid metabolism and immune response.
    • Key biological systems and regulatory networks involved in aging and CR were identified.

    Conclusions:

    • The study provides a systems biology perspective on aging.
    • Identified biological systems offer targets for understanding aging and CR.
    • A framework is proposed for further investigation into aging-related systemic changes.