Search bioRxiv⌕ Search

Biology subjects

Barai, M.

Publications and source records attributed to Barai, M..

5 recordsLinked to original sources

Condensate Material Properties Influence Cargo Selection for Neuronal Extrusion via Large Extracellular Exopher Vesicles

Neurons can maintain proteostasis by extruding protein aggregates and damaged organelles via large extracellular vesicles called exophers. However, the biophysical rules governing exopher cargo selection remain poorly understood. Here, we discovered that biomolecular condensates can localize to exophers and investigated whether condensate material properties-ranging from liquids to dynamically arrested gels-determine their recruitment to exophers. By reprogramming interactions in a multidomain protein, we tuned condensate properties and linked them to neuronal exopher recruitment using a multidisciplinary approach combining in vivo dynamics, in vitro material properties, and molecular dynamics simulations. Our findings reveal that gel-like condensates with slower dynamics and higher viscoelasticity localize to exophers more avidly than dynamic liquid-like condensates, demonstrating a strong correlation between condensate dynamics and exopher recruitment. This work lays the framework for investigating the biophysical determinants of exopher cargo selection, providing critical insights into the influence of proteome material state on neuronal protein quality control.

biophysics↗

Breaking β-sheets in FUS prion-like domain preserves phase separation and function but prevents aggregation and toxicity

The RNA-binding protein Fused in Sarcoma (FUS) undergoes phase separation associated with RNA processing. However, the prion-like low complexity (LC) domain of FUS forms solid-like aggregates in neurodegenerative diseases. Whether the formation of {beta}-sheet structure associated with pathology is also physiologically/functionally relevant is debated. Similarly, if mislocalization alone or concomitant aggregation is responsible for FUS gain-of-function toxicity remains to be probed. Here, we introduce {beta}-sheet breaking proline residues into FUS LC with the goal of preventing cross-{beta}-driven aggregation without disrupting essential functions and phase separation. {beta}-sheet-deficient FUS variants maintain native-like global motions, disorder, and phase separation, but no longer show a liquid-to-solid transition (LST). Biochemical partitioning, cellular localization, and auto- and cross-regulatory functions of FUS all remain essentially unchanged. Conversely, FUS-induced neurodegeneration in several Drosophila models is drastically reduced. These findings suggest a strategy for mitigating disease-related toxicity through backbone structure modulation to prevent prion-like domain protein aggregation. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=198 SRC="FIGDIR/small/706410v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@d15f63org.highwire.dtl.DTLVardef@1cd6221org.highwire.dtl.DTLVardef@e58126org.highwire.dtl.DTLVardef@181ec67_HPS_FORMAT_FIGEXP M_FIG C_FIG SUMMARYThe RNA-binding protein Fused in Sarcoma (FUS) undergoes phase separation as part of its physiological function but can aberrantly aggregate into solid-like assemblies in amyotrophic lateral sclerosis and frontotemporal dementia. To dissect the role of {beta}-sheets in both function and pathological transition, we engineered {beta}-sheet-preventing FUS variants via targeted proline residue insertions in the prion-like disordered region. These variants retained native structure, motions, and phase behavior yet showed dramatically reduced aggregation, both as an isolated prion-like domain and in full-length FUS. Crucially, these variants maintained a panel of FUS cellular functions that depend on FUS condensation but prevented FUS toxicity in fly models of neurodegeneration. Our findings implicate {beta}-sheets as key drivers of FUS condensate maturation and neuronal toxicity, highlighting {beta}-sheet modulation as a therapeutic strategy against FUS-related neurodegeneration. HIGHLIGHTSO_LITargeted proline additions disrupt {beta}-sheet formation in FUS without altering native conformations, dynamics, or phase separation behavior C_LIO_LI{beta}-sheet-deficient FUS variants prevent aggregation and liquid-to-solid transitions while retaining key biological functions C_LIO_LIIn vivo models reveal attenuated toxicity of {beta}-sheet-deficient FUS in Drosophila C_LIO_LI{beta}-sheets are identified as central drivers of condensate maturation and neuronal death, offering a therapeutic entry point for modulating prion-like domain pathology C_LI

biochemistry↗

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↗

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↗

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↗