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Chew, P. Y.

Publications and source records attributed to Chew, P. Y..

3 recordsLinked to original sources

Aromatic and arginine content drives multiphasic condensation of protein-RNA mixtures

Multiphasic architectures are found ubiquitously in biomolecular condensates and are thought to have important implications for the organisation of multiple chemical reactions within the same compartment. Many of these multiphasic condensates contain RNA in addition to proteins. Here, we investigate the importance of different interactions in multiphasic condensates comprising two different proteins and RNA using computer simulations with a residue-resolution coarse-grained model of proteins and RNA. We find that in multilayered condensates containing RNA in both phases, protein-RNA interactions dominate, with aromatic residues and arginine forming the key stabilising interactions. The total aromatic and arginine content of the two proteins must be appreciably different for distinct phases to form, and we show that this difference increases as the system is driven towards greater multiphasicity. Using the trends observed in the different interaction energies of this system, we demonstrate that we can also construct multilayered condensates with RNA preferentially concentrated in one phase. The rules identified can thus enable the design of synthetic multiphasic condensates to facilitate further study of their organisation and function.

biophysics↗

Principles of assembly and regulation of condensates of Polycomb repressive complex 1 through phase separation

PRC1 (Polycomb repressive complex 1) plays a significant role in cellular differentiation and development by repressing lineage-inappropriate genes. PRC1 proteins phase separate to form Polycomb condensates (bodies) that are multi-component hubs for silencing Polycomb target genes; however, the molecular principles that underpin the condensate assembly and biophysical properties remain unknown. Here, by using biochemical reconstitution, cellular imaging, and multiscale molecular simulations, we show that PRC1 condensates are assembled via a scaffold-client liquid-liquid phase separation (LLPS) model by which Chromobox 2 (CBX2) is the scaffold and other subunits of the CBX2-PRC1 complex act as clients. The clients induce a reentrant phase transition of CBX2 condensates in a concentration-dependent manner. The composition of the multi-component, heterotypic LLPS systems directs the assembly and biophysical properties of CBX2-PRC1 condensates and selectively promotes the formation of CBX4-PRC1 condensates, but specifically dissolves condensates of CBX6-, CBX7-, and CBX8-PRC1. Additionally, the composition of CBX2-PRC1 condensates controls the enrichment of CBX4-, CBX7-, and CBX8-PRC1 into condensates but the exclusion of CBX6-PRC1 from condensates. Our results show the composition- and stoichiometry-dependent scaffold-client assembly of multi-component PRC1 condensates and supply a conceptual framework underlying the molecular basis and dynamics of Polycomb condensate assembly.

biochemistry↗

Designing multiphase biomolecular condensates by coevolution of protein mixtures

Control of biomolecular condensates may hold considerable therapeutic potential. Intracellular condensates are highly multi-component systems in which complex phase behaviour can ensue, including the formation of architectures comprising multiple immiscible condensed phases. Conceivable avenues for manipulating condensates to bypass pathologies thus extend beyond merely controlling their stability and material properties, and relying solely on physical intuition to manipulate them is difficult because of the complexity of their composition. We address this challenge by developing an efficient computational approach to design pairs of protein sequences that result in well-separated multilayered condensates. Our method couples a genetic algorithm to a residue-resolution coarse-grained protein model. We demonstrate that we can design protein partners to form multiphase condensates containing naturally occurring proteins, such as the low-complexity domain of hnRNPA1 and its mutants, and show how homo- and heterotypic interactions must differ between proteins to result in multiphasicity.

biophysics↗