Physical theory of biological noise buffering by multicomponent phase separation

Maintaining homeostasis is a fundamental characteristic of living systems. In cells, this is contributed to by the assembly of biochemically distinct organelles, many of which are not membrane bound but form by the physical process of liquid-liquid phase separation (LLPS). By analogy with LLPS in binary solutions, cellular LLPS was hypothesized to contribute to homeostasis by facilitating concentration buffering, which renders the local protein concentration within the organelle robust to global variations in the average cellular concentration (e.g., due to expression noise). Interestingly, concentration buffering was experimentally measured in vivo in a simple organelle with a single solute, while it was observed not to be obeyed in one with several solutes. Here, we formulate theoretically and solve analytically a physical model of LLPS in a ternary solution of two solutes (phi and psi) that interact both homotypically (phi-phi attractions) and heterotypically (phi-psi attractions). Our physical theory predicts how the coexisting concentrations in LLPS are related to expression noise and thus, generalizes the concept of concentration buffering to multicomponent systems. This allows us to reconcile the seemingly contradictory experimental observations. Furthermore, we predict that incremental changes of the homotypic and heterotypic interactions among the molecules that undergo LLPS, such as those that are caused by mutations in the genes encoding the proteins, may increase the efficiency of concentration buffering of a given system. Thus, we hypothesize that evolution may optimize concentration buffering as an efficient mechanism to maintain LLPS homeostasis and suggest experimental approaches to test this in different systems.

Automated summary

Homeostasis is a fundamental characteristic of living systems, which is maintained by biochemically distinct organelles and liquid-liquid phase separation (LLPS) in cells. The coexisting concentrations in LLPS are related to expression noise, and changes in molecular interactions can increase the efficiency of concentration buffering in a given system, suggesting an evolutionary optimization of concentration buffering for maintaining LLPS homeostasis.