Biology subjects

Barai, M.

Publications and source records attributed to Barai, M..

3 recordsLinked to original sources

bioRxiv2024

Phosphorylation Toggles the SARS-CoV-2 Nucleocapsid Protein Between Two Membrane-Associated Condensate States

The Nucleocapsid protein (N) of SARS-CoV-2 plays a critical role in the viral lifecycle by regulating RNA replication and packaging the viral genome. N and RNA phase separate to form condensates that may be important for these functions. Both functions occur at membrane surfaces, but how N toggles between these two membrane-associated functional states is unclear. Here, we reveal that phosphorylation switches how N condensates interact with membranes, partly by modulating condensate material properties. Phosphorylated N forms liquid condensates that wet membranes, reminiscent of Ns role in RNA replication. In contrast, unmodified N forms viscoelastic condensates that can be engulfed by membranes, evoking viral genome packaging. These results suggest that phosphorylation serves as a regulatory switch within the viral replication cycle by modulating Ns association with membranes. We gained mechanistic insight through structural analysis and molecular simulations, which suggest phosphorylation induces a conformational change that softens condensate material properties. Our studies also show that phosphorylation alters Ns interaction with viral membrane proteins. Together, our findings uncover a novel aspect of SARS-CoV-2 biology by identifying membrane association as a key feature of N condensates and providing mechanistic insights into the regulatory role of phosphorylation. Understanding this mechanism suggests potential therapeutic targets for COVID infection.

biophysics↗

bioRxiv2024

Controlled and orthogonal partitioning of large particles into biomolecular condensates

Biomolecular condensates arising from liquid-liquid phase separation contribute to diverse cellular processes, such as gene expression. Partitioning of client molecules into condensates is critical to regulating the composition and function of condensates. Previous studies suggest that client size limits partitioning, with dextrans >5 nm excluded from condensates. Here, we asked whether larger particles, such as macromolecular complexes, can partition into condensates based on particle-condensate interactions. We sought to discover the biophysical principles that govern particle inclusion in or exclusion from condensates using polymer nanoparticles with tailored surface chemistries as models of macromolecular complexes. Particles coated with polyethylene glycol (PEG) did not partition into condensates. We next leveraged the PEGylated particles as an inert platform to which we conjugated specific adhesive moieties. Particles functionalized with biotin partitioned into condensates containing streptavidin, driven by high-affinity biotin-streptavidin binding. Oligonucleotide-decorated particles exhibited varying degrees of partitioning into condensates, depending on condensate composition. Partitioning of oligonucleotide-coated particles was tuned by altering salt concentration, oligonucleotide length, and oligonucleotide surface density. Remarkably, beads with distinct surface chemistries partitioned orthogonally into immiscible condensates. Based on our experiments, we conclude that arbitrarily large particles can controllably partition into biomolecular condensates given sufficiently strong condensate-particle interactions, a conclusion also supported by our coarse-grained molecular dynamics simulations and theory. These findings may provide insights into how various cellular processes are achieved based on partitioning of large clients into biomolecular condensates, as well as offer design principles for the development of drug delivery systems that selectively target disease-related biomolecular condensates. Significance StatementBiomolecular condensates are subcellular compartments that selectively recruit or exclude client molecules, even though condensates lack an enclosing membrane. Many biochemical reconstitution experiments have investigated mechanisms by which membraneless organelles control partitioning, modeling how cells spatiotemporally recruit components into condensates to regulate cellular functions. One outstanding question is whether partitioning is strictly limited by client size. In this work, we engineered nanoparticles with various sizes and surface functionalities and measured how these variables determine partitioning. We observed controlled and orthogonal partitioning of large particles into several condensate types, driven by strong particle-condensate interactions. Molecular simulations recapitulated key results. Our work advances understanding of how condensate composition is regulated, and our nanoparticle toolbox may also inspire a platform for drug delivery.

biophysics↗

bioRxiv2023

Expanding the molecular language of protein liquid-liquid phase separation

Understanding the relationship between an amino acid sequence and its phase separation has important implications for analyzing cellular function, treating disease, and designing novel biomaterials. Several sequence features have been identified as drivers for protein liquid-liquid phase separation (LLPS), leading to the development of a "molecular grammar" for LLPS. In this work, we further probed how sequence modulates phase separation and the material properties of the resulting condensates. Specifically, we used a model intrinsically disordered polypeptide composed of an 8-residue repeat unit and performed systematic sequence manipulations targeting sequence features previously overlooked in the literature. We generated sequences with no charged residues, high net charge, no glycine residues, or devoid of aromatic or arginine residues. We report that all but one of the twelve variants we designed undergo LLPS, albeit to different extents, despite significant differences in composition. These results support the hypothesis that multiple interactions between diverse residue pairs work in tandem to drive phase separation. Molecular simulations paint a picture of underlying molecular details involving various atomic interactions mediated by not just a handful of residue types, but by most residues. We characterized the changes to inter-residue contacts in all the sequence variants, thereby developing a more complete understanding of the contributions of sequence features such as net charge, hydrophobicity, and aromaticity to phase separation. Further, we find that all condensates formed behave like viscous fluids, despite large differences in their viscosities. The results presented in this study significantly advance the current sequence-phase behavior and sequence-material properties relationships to help interpret, model, and design protein assembly.

biophysics↗