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The aging transcriptome: read between the lines.

Anabel Perez-Gomez1, Joel N Buxbaum2, Michael Petrascheck1

  • 1Department of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA; Department of Neuroscience, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA.

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Analyzing gene expression in aging reveals insights into biological function changes. New methods are needed to distinguish adaptive changes from age-related regulatory decline in transcriptomes.

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Area of Science:

  • Genomics
  • Aging Research
  • Transcriptomics

Background:

  • Gene expression technologies enable transcriptome analysis to study aging.
  • Transcriptome analysis has mapped gene expression changes in aging across tissues and brain regions.
  • Recent studies indicate a decline in transcriptional regulation with age.

Purpose of the Study:

  • To address the challenge of analyzing age-associated transcriptomes.
  • To develop methods for distinguishing adaptive regulatory changes from age-related deterioration.
  • To unlock a deeper understanding of poorly understood aspects of aging transcriptomes.

Main Methods:

  • Analysis of gene expression trajectories in aging organisms.
  • Comparative analysis of transcriptomes across different tissues and brain regions.
  • Development of novel analytical strategies to disentangle regulated and non-regulated gene expression changes.

Main Results:

  • Gene expression trajectories provide insights into age-related functional changes.
  • Transcriptional regulation appears to deteriorate with age.
  • Current analytical strategies are insufficient for differentiating adaptive versus deterioration-driven expression changes.

Conclusions:

  • Aging involves complex changes in gene expression, including the deterioration of transcriptional regulation.
  • New analytical approaches are crucial for accurately interpreting age-associated transcriptomic data.
  • Distinguishing adaptive regulatory shifts from age-related decline is key to advancing aging research.