Mean-Independent Noise Control of Cell Fates Via Intermediate States
Overview
Affiliations
Stochasticity affects accurate signal detection and robust generation of correct cell fates. Although many known regulatory mechanisms may reduce fluctuations in signals, most simultaneously influence their mean dynamics, leading to unfaithful cell fates. Through analysis and computation, we demonstrate that a reversible signaling mechanism acting through intermediate states can reduce noise while maintaining the mean. This mean-independent noise control (MINC) mechanism is investigated in the context of an intracellular binding protein that regulates retinoic acid (RA) signaling during zebrafish hindbrain development. By comparing our models with experimental data, we find that the MINC mechanism allows for sharp boundaries of gene expression without sacrificing boundary accuracy. In addition, this MINC mechanism can modulate noise to levels that we show are beneficial to spatial patterning through noise-induced cell fate switching. These results reveal a design principle that may be important for noise regulation in many systems that control cell fate determination.
Multiple morphogens and rapid elongation promote segmental patterning during development.
Qiu Y, Fung L, Schilling T, Nie Q PLoS Comput Biol. 2021; 17(6):e1009077.
PMID: 34161317 PMC: 8259987. DOI: 10.1371/journal.pcbi.1009077.
Sha Y, Wang S, Zhou P, Nie Q Nucleic Acids Res. 2020; 48(17):9505-9520.
PMID: 32870263 PMC: 7515733. DOI: 10.1093/nar/gkaa725.
STOCHASTIC DYNAMICS OF CELL LINEAGE IN TISSUE HOMEOSTASIS.
Qiu Y, Chen W, Nie Q Discrete Continuous Dyn Syst Ser B. 2020; 24(8):3971-3994.
PMID: 32269502 PMC: 7141575. DOI: 10.3934/dcdsb.2018339.
Recent insights on the role and regulation of retinoic acid signaling during epicardial development.
Wang S, Moise A Genesis. 2019; 57(7-8):e23303.
PMID: 31066193 PMC: 6682438. DOI: 10.1002/dvg.23303.
Mechanical Communication Acts as a Noise Filter.
Viner H, Nitsan I, Sapir L, Drori S, Tzlil S iScience. 2019; 14:58-68.
PMID: 30927696 PMC: 6441679. DOI: 10.1016/j.isci.2019.02.030.