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Updated: Jun 5, 2026

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
Published on: March 7, 2018
Connecting variability in global transcription rate to mitochondrial variability
Ricardo Pires das Neves1, Nick S Jones, Lorena Andreu
1Medical Research Council Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Oxford, United Kingdom.
Cellular energy metabolism, specifically mitochondrial mass and ATP levels, significantly influences gene transcription rates in eukaryotic cells. This variability impacts cell cycle duration, revealing a link between energy and gene expression.
Area of Science:
- Molecular Biology
- Cell Biology
- Biochemistry
Background:
- Genetically identical eukaryotic cells exhibit significant cell-to-cell variability in gene expression.
- The origins of this transcriptional variation remain incompletely understood.
- Variability in cellular mitochondrial mass and transcription rates are observed.
Purpose of the Study:
- To investigate the origins of cell-to-cell variability in gene expression.
- To determine the relationship between energy metabolism and transcription rate.
- To identify factors influencing transcription rate variability.
Main Methods:
- Cell fusion experiments to assess diffusible factors.
- In vitro studies on transcription rate dependence on nucleotide triphosphates (NTPs), particularly ATP.
- In vivo perturbation of nutrient and ATP levels.
- Analysis of mitochondrial mass, membrane potential, and antioxidant effects.
- Stochastic segregation analysis of mitochondria in daughter cells.
Main Results:
- Transcription rate variability is linked to cellular mitochondrial mass and membrane potential.
- Transcription rate is sensitive to intracellular ATP concentration but not other NTPs.
- Antioxidants modulate transcription rate variability.
- Stochastic segregation of mitochondria at cell division causes variability in mitochondrial content.
- Daughters with lower mitochondrial mass exhibit longer cell cycles.
Conclusions:
- Cellular energy metabolism, particularly ATP levels and mitochondrial content, is a key determinant of transcription rate variability.
- Variability in mitochondrial mass, arising from stochastic segregation, influences cell cycle progression.
- A direct link exists between energy metabolism fluctuations and gene transcription rates in eukaryotic cells.
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