For life to thrive, its fundamental units, i.e., the cells, need to reliably and robustly fulfill their function. However, cellular operability is challenged by the appearance of biological noise in the concentration of proteins and other cell components. This noise arises due to spontaneous fluctuations that are inherent to all chemical reactions. For small (mesoscopic) systems, like cells, these fluctuations can be significant and disturb cellular functions.
Cells evolved mechanisms to control and reduce their internal noise. One way to reduce noise in eukaryotic cells is to exploit their internal structure and restrict noise to a particular organelle, thus reducing the noise in the rest of the cell. In recent years it was shown that many cell organelles could be formed by phase separation without the need for a membrane. Thus, it was suggested that phase separation could reduce concentration noise in cells. However, until now, any systematic investigation linking essential aspects of phase separation and concentration noise in cells has been lacking. This motivates the study of fluctuations in mesoscopic phase-separating systems.
This thesis develops a generic theoretical model based on a thermodynamic description of phase separation. We consider a binary mixture that can phase separate into two phases - a liquid droplet surrounded by a phase, which we refer to as continuous phase. We merge this description with methods of stochastic chemical reactions in order to account for the active turnover of phase-separating material and, thus, for the non-equilibrium nature of living cells. The resulting framework allows us to study fluctuations due to chemical turnover and phase separation in and out of equilibrium of phase separation. We use this framework to investigate how a phase-separating system can reduce concentration noise for different reaction networks.
We find that phase separation can reduce concentration noise in active mesoscopic systems like cells in both phases. When turnover dynamics are slow, concentration noise in the dilute phase can be lowered to the level of Poissonian fluctuations. For the dense phase, we find that noise can fall below the Poissonian threshold. When turnover rates become faster such that the system deviates from the equilibrium configuration, the noise reduction by phase separation becomes less efficient. We test our model on experimental data of an engineered protein expressed in living cells. We find a good agreement between the data and theory and demonstrate that phase separation is a viable mechanism for noise reduction in living cells. Thus, phase separation might play an essential part in ensuring the reliable control of cellular functions.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:79461 |
| Date | 14 June 2022 |
| Creators | Oltsch, Florian |
| Contributors | Jülicher, Frank, ten Wolde, Pieter Rein, Friedrich, Benjamin, Technische Universität Dresden, Max-Planck Insitut for molecular Cell Biology and Genetics |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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