Are cell length and volume interchangeable in cell cycle analysis?

Cell length has been used as a proxy for cell size in cell cycle modeling studies. A previous study, however, brought into question the validity of this assumption, noting that correlations between cell lengths can be different from those involving cell volume if cell width fluctuations are taken into account. If cell volume is regulated, data analysis involving cell lengths will lead to an incorrect inference of the cell size control mechanism. We used conditional correlation of length variables conditioned upon radius variables to elucidate the underlying volume control mechanism. Using the conditional correlation on previous mother machine datasets measuring lengths at birth and division and the cell radius for multiple cells, we find that the cell volume control strategy is consistent with an adder model. Further, using the conditional correlation, we conclude that measurement noise constitutes a significant portion of the radius variability in the experimental datasets. To conclude, cell length and cell volume can often be used interchangeably owing to small cell width fluctuations.

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Publication Details

Journal
Biophysical Journal
Published
2025-03-27
DOI
https://doi.org/10.1016/j.bpj.2025.03.019
Citations
2
Primary Topic
Statistical Methods and Inference
Type
article
Field-Weighted Citation Impact
5.26

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article

Are cell length and volume interchangeable in cell cycle analysis?

Prathitha Kar, Ariel Amir
2 citations
Biophysical Journal
Statistical Methods and Inference
5.26
article

Are cell length and volume interchangeable in cell cycle analysis?

Prathitha Kar, Ariel Amir
article en
2 citations

Abstract

Cell length has been used as a proxy for cell size in cell cycle modeling studies. A previous study, however, brought into question the validity of this assumption, noting that correlations between cell lengths can be different from those involving cell volume if cell width fluctuations are taken into account. If cell volume is regulated, data analysis involving cell lengths will lead to an incorrect inference of the cell size control mechanism. We used conditional correlation of length variables conditioned upon radius variables to elucidate the underlying volume control mechanism. Using the conditional correlation on previous mother machine datasets measuring lengths at birth and division and the cell radius for multiple cells, we find that the cell volume control strategy is consistent with an adder model. Further, using the conditional correlation, we conclude that measurement noise constitutes a significant portion of the radius variability in the experimental datasets. To conclude, cell length and cell volume can often be used interchangeably owing to small cell width fluctuations.

Biophysical JournalVol. 124(9)
Harvard University Press (US), Weizmann Institute of Science (IL)
National Science Foundation
Zero hunger
Openalex Percentile: Top 6%
Statistical Methods and Inference
5.26
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Are cell length and volume interchangeable in cell cycle analysis? — Prathitha Kar, Ariel Amir · Biophysical Journal (2025) | TGRS Research Map | TGRS