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Cell length can reliably indicate cell size in cell cycle studies, as volume control follows an adder model. Measurement noise also significantly impacts observed radius variability in experimental data.

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Area of Science:

  • Cell biology
  • Microbiology
  • Quantitative biology

Background:

  • Cell length is commonly used as a proxy for cell size in cell cycle modeling.
  • Previous research questioned this assumption, highlighting discrepancies between length and volume correlations due to cell width variations.

Purpose of the Study:

  • To investigate the validity of using cell length as a proxy for cell size in cell cycle studies.
  • To determine the underlying cell volume control mechanism.
  • To assess the impact of measurement noise on experimental data.

Main Methods:

  • Utilized conditional correlation analysis, specifically conditioning length variables on radius variables.
  • Applied this method to mother machine datasets that recorded cell lengths (birth and division) and radii.
  • Analyzed correlations to infer cell volume control strategies.

Main Results:

  • The cell volume control strategy was found to be consistent with an adder model.
  • Conditional correlation analysis revealed that measurement noise contributes significantly to radius variability.
  • Despite potential width fluctuations, cell length and volume can often be used interchangeably.

Conclusions:

  • The adder model accurately describes the cell volume control mechanism.
  • Measurement noise is a substantial factor in experimental radius data.
  • Cell length remains a viable proxy for cell size in many cell cycle modeling contexts.