Adaptation by stochastic tuning of gene expression in mammalian cells
Abstract
Cells often face environmental challenges for which they lack pre-programmed regulatory responses. We have previously shown that yeast cells can, nevertheless, adapt to such unfamiliar conditions by a phenomenon we have termed stochastic tuning. In this process, cells use gene expression noise to randomly change the expression of individual genes and actively reinforce those changes that improve the overall health of the cell. Here, we provide experimental evidence for stochastic tuning in human cells adapting to the lethal chemotherapeutic agent methotrexate. As in yeast, the tuning process is not driven by mutations and is reversible upon removal of methotrexate challenge. We show that stochastic tuning is a conserved eukaryotic mechanism of cellular adaptation, and potentially a key factor in the phenomenon of cancer cell plasticity underlying chemotherapy resistance.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 3
- Organism
- Approach
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
- Stochastic competitive release and adaptive chemotherapy
J. Park, P. K. Newton·bioRxiv·Jun 17, 2022
- Drug-induced adaptation along a resistance continuum in cancer cells
G. S. Franca, M. Baron, … I. Yanai·bioRxiv·Jun 21, 2022
- Trans-acting mutations reveal non-nuclear modulators of both intrinsic and extrinsic gene expression noise in a eukaryote.
Nena Martin, Julie Kleine-Schultjann, … Fabien Duveau·bioRxiv·Nov 22, 2025
- Cellular Adaptation Through Fitness-Directed Transcriptional Tuning
Peter L. Freddolino, Jamie Yang, Saeed Tavazoie·bioRxiv·May 14, 2017
- Mapping the dynamics of epigenetic adaptation during heterochromatin misregulation
Ajay Larkin, Colin Kunze, … Kaushik Ragunathan·bioRxiv·Jul 10, 2023
- Evolutionary implications of phenotype switching for growth and survival of tumors in stochastic environments.
S. G. Babajanyan, Yuri I. Wolf, … Erez Persi·bioRxiv·Aug 22, 2026