Stochasticity in mammalian cell growth rates drives cell-to-cell variability independently of cell size and divisions

E Ethan Levien (Department of Mathematics) J Joon Ho Kang K Kuheli Biswas (Department of Physics of Complex Systems) S Scott R. Manalis (Koch Institute for Integrative Cancer Research) A Ariel Amir (Department of Physics of Complex Systems) T Teemu P. Miettinen (Koch Institute for Integrative Cancer Research)

Abstract

Cell growth rates exhibit cell-intrinsic cell-to-cell variability, which influences cell fitness and size homeostasis from bacteria to cancer. It remains unclear whether this variability arises from stochasticity in cell growth or division processes, or from cell-size-dependent growth regulation. To separate these potential sources of growth variability, single-cell growth rates need to be examined across different timescales. Here, we study cell size and growth regulation by tracking lymphocytic leukemia cell mass accumulation with high precision and minute-scale temporal resolution along long ancestral lineages. We first show that correlations between growth rates and cell-size nor asymmetric divisions explain cell-to-cell growth variability. We then isolate growth fluctuations by smoothing and detrending the growth rate dynamics using a Gaussian process regression. We find that these growth fluctuations drive cell-to-cell growth variability within ancestral lineages despite being independent of cell divisions, cell cycle, and cell size. Overall, our results provide a quantitative framework for understanding single-cell growth rates, and indicate that cell-intrinsic long-term patterns in growth are a byproduct of short-term growth fluctuations.

Article Details

Volume / Issue Vol. 123, Issue 10
Published March 10, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (6)

E

Ethan Levien

Department of Mathematics

J

Joon Ho Kang

K

Kuheli Biswas

Department of Physics of Complex Systems

S

Scott R. Manalis

Koch Institute for Integrative Cancer Research

A

Ariel Amir

Department of Physics of Complex Systems

T

Teemu P. Miettinen

Koch Institute for Integrative Cancer Research