Sloppiness and Action Constraint in Cell State Transitions: Are Single Cells Sloppy?
Yuxuan Wang, Junda Ying, He Xiao, M W HuangiD, Lei ZhangiD, Weikang WangiD
Abstract
Single-cell dynamics during cell state transitions (CST) are highly constrained, enabling precise control. However, there are challenges in achieving a system-level understanding or extracting general principles for CST dynamics due to the complexity of gene-gene interactions. Here, we introduce a new perspective to deal with these challenges using Fisher information. We found that, during CST, single cells exhibit pronounced sloppiness: cell states are sensitive only to a few "stiff" parameters while remaining robust to changes in numerous "sloppy" parameters. Critical transitions coincided with changes in stiff parameters. Moreover, stiff parameters typically exhibited minimal fluctuations and low velocities, whereas sloppy parameters allowed greater flexibility. Together, these findings can be summarized by stating that transition paths approximately adhere to a principle of least action. By characterizing the low dimensionality and constraints of CST through sloppiness and action, our work thus introduces a new conceptual and computational framework for analyzing single-cell dynamics. TeaserExcept when transitions occur, single-cell dynamics exhibit sloppiness, adhering approximately to a least action principle.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Research Focus
- 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
- Molecular noise modulates transitions in the cell-fate differentiation landscape
Yujing Liu, Adriana Zanca, … Lucy Ham·npj Systems Biology and ApplicationsPeer-reviewed·Jun 21, 2026
- A fluctuation-based approach to infer kinetics and topology of cell-state switching
Michael Saint-Antoine, Ramon Grima, Abhyudai Singh·bioRxiv·Mar 30, 2022
- Dissecting Transition Cells from Single-Cell Transcriptome Data through Multiscale Stochastic Dynamics
Peijie Zhou, Shuxiong Wang, … Qing Hua Nie·Nature CommunicationsPeer-reviewed·Sep 23, 2021
- Dissecting reversible and irreversible single cell state transitions from gene regulatory networks
Daniel A Ramirez, Mingyang Lu·Molecular Systems BiologyPeer-reviewed·Feb 9, 2026
- A Unified Dynamical-Systems and Control-Theoretic Model for Single-Cell Fate Dynamics
David M Redd, Samuel G Green, Tommy W. Terooatea·bioRxiv·Mar 18, 2026
- Characterizing the temporal dynamics of gene expression in single cells with sci-fate
Junyue Cao, Wei You Zhou, … Jay Shendure·Nature BiotechnologyPeer-reviewed·Apr 13, 2020