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Generation of Dispersed Presomitic Mesoderm Cell Cultures for Imaging of the Zebrafish Segmentation Clock in Single Cells
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Gene expression oscillations in C. elegans underlie a new developmental clock.

Charisios Tsiairis1, Helge Großhans2

  • 1Friedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland.

Current Topics in Developmental Biology
|May 16, 2021
PubMed
Summary
This summary is machine-generated.

A developmental clock in C. elegans larvae drives widespread gene expression oscillations, with timing linked to temperature and larval stage. This impacts gene expression profiling experiments.

Keywords:
C. elegansCuticleDevelopmental checkpointGene expression profilingLethargusMoltOscillatorSegmentationTranscription

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Area of Science:

  • Developmental Biology
  • Molecular Biology
  • Genomics

Background:

  • Thousands of genes (>20% of transcriptome) show oscillatory expression during C. elegans larval development.
  • Gene expression peaks once per larval stage, with period and stage duration varying with temperature.

Purpose of the Study:

  • Review the biology, architecture, and mechanisms of the C. elegans developmental clock.
  • Compare this oscillator to others and discuss study methodologies.
  • Highlight implications for gene expression profiling in C. elegans larvae.

Main Methods:

  • Literature review of existing studies on C. elegans gene expression and developmental timing.
  • Comparative analysis of known biological oscillators.
  • Discussion of experimental tools and approaches for studying gene expression dynamics.

Main Results:

  • Evidence supports a gene expression oscillator functioning as a developmental clock in C. elegans.
  • Oscillation period and larval stage duration are temperature-dependent.
  • Dynamic gene expression changes have significant implications for experimental design.

Conclusions:

  • The C. elegans developmental clock is a key regulator of larval gene expression.
  • Understanding this clock is crucial for accurate interpretation of gene expression data.
  • Future studies should consider the impact of these oscillations on experimental controls.