Genes regulated by caloric restriction have unique roles within transcriptional networks

William R Swindell1

  • 1Department of Pathology, University of Michigan, Ann Arbor, MI 48109-2200, USA. wswindel@umich.edu

Insights

Caloric restriction (CR) influences gene networks, with downregulated genes being highly connected and upregulated genes weakly connected. These patterns suggest an evolutionary basis for CR

Area of Science:

  • Genomics
  • Systems Biology
  • Aging Research

Background:

  • Caloric restriction (CR) is a well-studied intervention for delaying age-related diseases and extending lifespan.
  • Gene expression studies have identified CR-responsive genes across multiple tissues in mice.
  • Previous understanding of CR-regulated genes has been limited to lists, lacking network context.

Purpose of the Study:

  • To investigate the co-expression and network properties of genes regulated by caloric restriction.
  • To identify regulatory factors and gene groups associated with the mammalian CR response.
  • To explore the systems-level impact of CR on transcriptional networks.

Main Methods:

  • Analysis of co-expression and network properties using over 600 Affymetrix microarray datasets.
  • Identification of gene groups and regulatory factors involved in the CR response.
  • Comparison of network properties between mammalian and invertebrate CR-regulated genes.

Main Results:

  • CR-regulated genes exhibit distinct network properties: downregulated genes are highly connected in dense regions, while upregulated genes are weakly connected in sparse regions.
  • Identification of co-expressed gene modules and regulatory factors associated with the CR response.
  • Conservation of some network properties in invertebrate models, suggesting evolutionary underpinnings.

Conclusions:

  • Caloric restriction significantly impacts gene expression networks, with specific topological differences between up- and downregulated genes.
  • The observed network patterns suggest a conserved, evolutionarily ancient mechanism underlying CR's effects on transcription.
  • This study provides a systems-level understanding of CR's influence on cellular transcription and biological networks.

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