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A scheduler for rhythmic gene expression.

Dimos Gaidatzis1,2, Maike Graf-Landua1,3, Stephen P Methot1

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Summary
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Genetic oscillators precisely time gene expression. This study reveals how transcription factor binding schedules thousands of genes in C. elegans, providing a framework for developmental biology.

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Area of Science:

  • Developmental Biology
  • Genetics
  • Molecular Biology

Background:

  • Genetic oscillators are fundamental for precise gene expression timing during development and physiology.
  • The C. elegans molting clock serves as a model system to understand how oscillators orchestrate gene expression.
  • Understanding the regulatory mechanisms of timed gene expression is crucial for various biological processes.

Purpose of the Study:

  • To investigate how genetic oscillators schedule the expression of thousands of genes.
  • To identify key regulators and mechanisms controlling rhythmic gene expression.
  • To develop a predictive model for chromatin and gene expression dynamics.

Main Methods:

  • Single-cell RNA sequencing to analyze gene expression patterns.
  • Time-resolved ATAC-seq to map chromatin accessibility dynamics.
  • Development of a linear model integrating transcription factor binding data.
  • Perturbation experiments (GRH-1/Grainyhead) to validate model predictions.

Main Results:

  • Broad peak phase dispersion observed in individual tissues.
  • Rhythmic changes in chromatin accessibility at thousands of regulatory elements.
  • Identification of nine key transcription factors regulating peak phase and amplitude.
  • Demonstration that these factors can generate non-rhythmic activity via destructive interference.
  • Accurate prediction of gene expression and chromatin dynamics upon GRH-1 perturbation.

Conclusions:

  • Combinatorial, non-cooperative transcription factor binding provides a framework for scheduling complex gene expression patterns.
  • The identified regulatory principles are applicable to dynamic biological processes beyond development.
  • This study offers insights into the quantitative control of gene expression by transcription factors.