Biology subjects

Bauermann, J.

Publications and source records attributed to Bauermann, J..

4 recordsLinked to original sources

bioRxiv2026

Metabolites Shift Equilibria of Biomolecular Condensates

Biomolecular condensates compartmentalize biochemistry in living cells. While in vitro models of condensates involve only a few components, the cytoplasm is a complex mixture with thousands of components, including many small molecules. While many macromolecular drivers of phase separation have been revealed, the contributions from small molecules have received little attention. To quantify the impact of solutes on biomolecular condensates, we introduce susceptibility, a dimensionless descriptor of condensate response to solute perturbations. We measured how three model condensates, assembled by distinct cohesive mechanisms, respond to diverse solutes including amino acids and nucleotides. Generically, solutes shift condensate phase equilibria, with susceptibilities spanning over four orders of magnitude. These values reflect underlying molecular interactions, consistent with theoretical descriptions including Flory-Huggins and polyphasic linkages. As one example of the predictive power of susceptibility, we exploit enzymatic activity to induce condensation and modulate material properties. Our work establishes susceptibility as an indicator of the sensitivity of biomolecular condensates to solutes, with implications for cell physiology and therapeutic design. SIGNIFICANCE STATEMENTCells compartmentalize biochemistry using biomolecular condensates formed through phase separation. Although cells contain thousands of small molecules, little is known about their influence on condensation. In such complex mixtures, mapping full phase diagrams is infeasible. Alternatively, we introduce susceptibility to characterize system response around a working composition. Using three distinct model condensates and over a dozen solutes, we observe susceptibilities varying over four orders of magnitude. We provide a general thermodynamic framework that clarifies the driving forces behind these responses, rationalizing their magnitude and their dependence on location in the phase diagram. Our work provides a framework for understanding and harnessing solutes to regulate biomolecular condensation, with implications for cell physiology and therapeutic design.

biophysics↗

bioRxiv2023

Liquid spherical shells are a non-equilibrium steady state

Liquid-liquid phase separation is the process in which two immiscible liquids demix. This spontaneous phenomenon yields spherical droplets that eventually coarsen to one large, stable droplet governed by the principle of minimal free energy. In chemically fueled phase separation, the formation of phase-separating molecules is coupled to a fuel-driven, nonequilibrium reaction cycle. Chemically fueled phase separation yields dissipative structures sustained by a continuous fuel conversion. Such dissipative structures are ubiquitous in biology but poorly understood as they are governed by non-equilibrium thermodynamics. Here, we bridge the gap between passive, close-to-equilibrium, and active, dissipative structures with chemically fueled phase separation. We observe that spherical, active droplets can transition into a new morphology--a liquid, spherical shell of droplet material. A spherical shell would be highly unstable at equilibrium. Only by continuously converting chemical energy, this dissipative structure can be sustained. We demonstrate the transition mechanism, which is related to the activation of a product outside of the droplet, and the deactivation within the droplets leading to gradients of droplet material. We characterize how far out of equilibrium the spherical shell state is and the chemical power necessary to sustain it. Our work suggests new avenues for assembling complex stable morphologies, which might already be exploited to form membraneless organelles by cells.

biophysics↗

bioRxiv2021

Stochastic dynamics of single molecules across phase boundaries

We discuss the stochastic trajectories of single molecules in a phase-separated liquid, when a dense and a dilute phase coexist. Starting from a continuum theory of macroscopic phase separation we derive a stochastic Langevin equation for molecular trajectories that takes into account thermal fluctuations. We find that molecular trajectories can be described as diffusion with drift in an effective potential, which has a steep gradient at phase boundaries. We discuss how the physics of phase coexistence affects the statistics of molecular trajectories and in particular the statistics of displacements of molecules crossing a phase boundary. At thermodynamic equilibrium detailed balance imposes that the distributions of displacements crossing the phase boundary from the dense or from the dilute phase are the same. Our theory can be used to infer key phase separation parameters from the statistics of single-molecule trajectories. For simple Brownian motion, there is no drift in the presence of a concentration gradient. We show that interactions in the fluid give rise to an average drift velocity in concentration gradients. Interestingly, under non-equilibrium conditions, single molecules tend to drift uphill the concentration gradient. Thus, our work bridges between single-molecule dynamics and collective dynamics at macroscopic scales and provides a framework to study single-molecule dynamics in phase-separating systems.

biophysics↗

bioRxiv2021

Quantitative Theory for the Diffusive Dynamics of Liquid Condensates

To unravel the biological functions of membraneless liquid condensates it is crucial to develop a quantitative understanding of the physics underlying their dynamics. Key processes within such condensates are diffusion and material exchange with their environment. Experimentally, diffusive dynamics are typically probed via fluorescent labels. However, to date we lack a physics-based quantitative framework for the dynamics of labeled condensate components. Here, we derive the corresponding theory, building on the physics of phase separation, and quantitatively validate this framework via experiments. We show that using our theory we can precisely determine diffusion coefficients inside liquid condensates via a spatio-temporal analysis of fluorescence recovery after photobleaching (FRAP) experiments. We showcase the accuracy and precision of our approach by considering space- and time-resolved data of protein condensates and two different polyelectrolyte-coacervate systems. Strikingly, our theory can also be used to determine the diffusion coefficient in the dilute phase and the partition coefficient, without relying on fluorescence measurements in the dilute phase. This bypasses recently described quenching artefacts in the dense phase, which can underestimate partition coefficients by orders of magnitude. Our experimentally verified theory opens new avenues for theoretically describing molecule dynamics in condensates, measuring concentrations based on the dynamics of fluorescence intensities and quantifying rates of biochemical reactions in liquid condensates.

biophysics↗