Oscillatory expression of Hes1, p53, and NF-kappaB driven by transcriptional time delays

Nicholas A M Monk1

  • 1Centre for Bioinformatics and Computational Biology, University of Sheffield, Royal Hallamshire Hospital, Sheffield, S10 2JF, United Kingdom. n.monk@sheffield.ac.uk

Current Biology : CB
|August 23, 2003
PubMed

Insights

Transcriptional delays in eukaryotic feedback loops can drive oscillatory gene expression. This study provides evidence that these delays, not extra components, cause gene activity fluctuations.

Area of Science:

  • Molecular Biology
  • Systems Biology
  • Biophysics

Background:

  • Gene expression is often regulated by feedback inhibition, where a gene's product downregulates its own expression.
  • Eukaryotic gene regulation involves time delays (transcription, splicing, translation), which can theoretically cause expression oscillations.
  • Experimental evidence for delay-driven oscillations in gene expression has been scarce.

Purpose of the Study:

  • To investigate the role of time delays in driving oscillatory gene expression in eukaryotic cells.
  • To provide experimental evidence supporting the hypothesis that delays, not additional regulatory components, cause observed oscillations.
  • To analyze the impact of delays on the characteristics of gene expression oscillations.

Main Methods:

  • Utilized mathematical modeling informed by recent experimental data.
  • Focused on short feedback inhibition loops involving specific proteins (Hes1, p53, NF-kappaB).
  • Analyzed the relationship between delays, half-lives, and oscillation periods.

Main Results:

  • Mathematical modeling strongly suggests transcriptional delays are the primary drivers of observed oscillatory expression and activity for Hes1, p53, and NF-kappaB.
  • The oscillatory period is primarily determined by the delay and mRNA/protein half-lives.
  • Delayed models explain oscillations without needing extra feedback loop components, unlike non-delayed models.

Conclusions:

  • Provides direct evidence that transcriptional delays can drive oscillatory gene activity in eukaryotic cells.
  • Highlights the critical importance of incorporating time delays when analyzing genetic regulatory networks.
  • Suggests delays are key factors in processes like developmental pattern formation involving feedback inhibition.

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