bioRxivCancer BiologyPreprint
An integrated model of population growth saturation and basal ROS levels predicts cellular ferroptosis sensitivity
Eric Seidel, Elif Yaren Itak, Fabienne Müller, Fatma Isil YapiciiD, Johannes BrägelmanniD, Johannes Berg, Silvia von KarstedtiD
Abstract
Ferroptosis is a form of regulated cell death characterized by iron-dependent lipid peroxidation and membrane rupture. While cellular populations reaching confluence are known to have limited sensitivity to ferroptosis, an understanding of the interplay between growth dynamics, ROS levels and ferroptosis is currently lacking. Here we use live-cell imaging coupled to ROS tracing to reveal a feedback loop between population growth and ferroptotic cell death. Starting out from the observation that the cellular proliferation rate declines with increased cellular density, we find that ROS levels also decline with increasing cellular density. Low ROS levels make cells insensitive to ferroptosis, which in turn enables population growth. This feedback produces two steady states: (i) a ferroptosis-insensitive state characterized by slow growth, low levels of ROS and low rates of cell death and (ii) a ferroptosis-sensitive state characterized by rapid growth, ROS accumulation, and high rates of ferroptosis. Interestingly, triggering effective ferroptosis by interfering with GPX4 activity is directly linked with this mechanism. On the other hand, keeping cell numbers and drug concentration/cell constant while restricting growth space led to reduced proliferation, reduced ROS and decreased ferroptotic cell death. Importantly, ferroptosis resistance at high cellular confluency could be broken by increasing cellular ROS and lipid ROS through a galactose-promoted OXPHOS switch. A mathematical model of the feedback mechanism predicts the long-term fate of populations as well as their ferroptosis sensitivity when external conditions impacting cell proliferation rates, ROS, or both are changed.
- assay: imaging
- research focus: cell signaling & trafficking
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Ferroptosis propagates to neighboring cells via cell-cell contacts
B. F. Roeck, M. R. H. Vorndran, A. J. Garcia-Saez·bioRxiv·Mar 24, 2023
- Cell size modulates ferroptosis susceptibility
Evgeny A. Zatulovskiy, Magdalena B. Murray, … Jan Marcel Skotheim·bioRxiv·Oct 25, 2025
- A Cell Cycle-Dependent Ferroptosis Sensitivity Switch Governed by EMP2
J. Rodencal, N. Kim, … S. J. Dixon·bioRxiv·Jul 19, 2023
- Cell density-dependent ferroptosis in breast cancer is induced by accumulation of polyunsaturated fatty acid-enriched triacylglycerides
E. Panzilius, F. Holstein, … C. H. Scheel·bioRxiv·Oct 1, 2019
- Lipid composition differentiates ferroptosis sensitivity between in vitro and in vivo systems
Vivian S. Park, Lauren E. Pope, … Relja Popovic·Cancer ResearchPeer-reviewed·Sep 5, 2025
- Mitochondrial ROS-induced metabolic alterations differentially regulate ferroptosis sensitivity
Somesh Banerjee, Matthew Ryan Smith, … Peijian He·bioRxiv·Dec 23, 2025