Phase transition of a disordered nuage protein generates environmentally responsive membraneless organelles

Factories without walls: The molecular architecture and functions of non-membrane organelles in small RNA-guided genome protection

Non-membrane organelles, Yb body and nuage, play an essential role in piRNA-guided genome defense in Drosophila gonad by mediating piRNA biogenesis and transposon silencing. Yb body, found in somatic follicle cells, is responsible for primary piRNA processing, while nuage, located in germline cells, facilitates the ping-pong cycle to amplify the piRNAs corresponding to both sense and antisense strands of the expressed transposons. These organelles are assembled by liquid-liquid phase separation (LLPS) and protein-protein interactions, integrating RNA helicases (Vasa, Armitage), Tudor domain-containing proteins (Krimper, Tejas, Qin/Kumo), and proteins containing both domains (Yb, SoYb, Spn-E). Within these condensates, we summarize the protein-protein interactions experimentally validated and predicted by AlphaFold3, providing new structural insights into the non-membrane organelle assembly. This review highlights how the dynamic organization of Yb body and nuage enables efficient RNA processing, ensuring transposon suppression and genome stability.

Mysteries of adenovirus packaging

It is conventionally held that most DNA viruses package their genomes by one of two fundamental mechanisms: described by the sequential or concurrent models of assembly and packaging. Sequential packaging involves the translocation of a viral genome into a pre-formed capsid, often referred to as the pro-capsid. In contrast, concurrent packaging does not require the assembly of a pro-capsid. Instead, the genome is condensed, and the capsid shell is formed around the genome. The accumulation of empty particles in adenovirus infected cells has led to the assumption that adenovirus packaging may be best described by the sequential model. However, existing models fail to adequately explain all experimental observations, leaving many mysteries of adenovirus genome packaging unresolved. In this review, we describe key findings in adenovirus assembly and packaging, and we discuss them in the context of the competing models of sequential versus concurrent packaging. We discuss recent findings that have redefined our understanding of adenovirus packaging, including the role of viral biomolecular condensates and visualization of viral assembly and packaging in situ. These advances have renewed interest in the concurrent model of packaging. We anticipate that lessons learned from adenovirus packaging will be highly valuable for the advancement of viral vectors and gene-delivery technologies. In reviewing this topic, we hope to stimulate discussion and facilitate future investigation that will ultimately resolve gaps in knowledge and expand our understanding of DNA virus genome packaging.

LLPS REDIFINE allows the biophysical characterization of multicomponent condensates without tags or labels

Liquid-liquid phase separation (LLPS) phenomenon plays a vital role in multiple cell biology processes, providing a mechanism to concentrate biomolecules and promote cellular reactions locally. Despite its significance in biology, there is a lack of conventional techniques suitable for studying biphasic samples in their biologically relevant form. Here, we present a label-free and non-invasive approach to characterize biomolecular condensates termed LLPS REstricted DIFusion of INvisible speciEs (REDIFINE). Relying on diffusion NMR measurements, REDIFINE exploits the exchange dynamics between molecules in the condensed and dispersed phases to determine not only diffusion constants and the fractions in both phases but also the average radius of the condensed droplets and the exchange rate between the phases. Observing proteins, RNAs, water, as well as small molecules, and even assessing the concentrations of biomolecules in both phases, REDIFINE analysis allows a rapid biophysical characterization of multicomponent condensates which is important to understand their functional roles. In comparing multiple systems, REDIFINE reveals that folded RNA-binding proteins form smaller and more dynamic droplets compared to the disordered ones.

Active phase separation: new phenomenology from non-equilibrium physics

In active systems, whose constituents have non-equilibrium dynamics at local level, fluid-fluid phase separation is widely observed. Examples include the formation of membraneless organelles within cells; the clustering of self-propelled colloidal particles in the absence of attractive forces, and some types of ecological segregation. A schematic understanding of such active phase separation was initially borrowed from what is known for the equilibrium case, in which detailed balance holds at microscopic level. However it has recently become clear that in active systems the absence of detailed balance, although it leave phase separation qualitatively unchanged in some regimes (for example domain growth driven by interfacial tension via Ostwald ripening), can in other regimes radically alter its phenomenology at mechanistic level. For example, microphase separation can be caused by reverse Ostwald ripening, a process that is hard to imagine from an equilibrium perspective. This and other new phenomena arise because, instead of having a single, positive interfacial tension like their equilibrium counterparts, the fluid-fluid interfaces created by active phase separation can have several distinct interfacial tensions governing different properties, some of which can be negative. These phenomena can be broadly understood by studying continuum field theories for a single conserved scalar order parameter (the fluid density), supplemented with a velocity field in cases where momentum conservation is also present. More complex regimes arise in systems described by multiple scalar order parameters (especially with nonreciprocal interactions between these); or when an order parameter undergoes both conserved and non-conserved dynamics (such that the combination breaks detailed balance); or in systems that support orientational long-range order in one or more of the coexisting phases. In this Review, we survey recent progress in understanding the specific role of activity in phase separation, drawing attention to many open questions. We focus primarily on continuum theories, especially those with a single scalar order parameter, reviewing both analytical and numerical work. We compare their predictions with particle-based models, which have mostly been studied numerically although a few have been explicitly coarse-grained to continuum level. We also compare, where possible, with experimental results. In the latter case, qualitative comparisons are broadly encouraging whereas quantitative ones are hindered by the dynamical complexity of most experimental systems relative that of simplified (particle-level or continuum) models of active matter.

Molecular mechanisms and consequences of TDP-43 phosphorylation in neurodegeneration

Increased phosphorylation of TDP-43 is a pathological hallmark of several neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). However, the regulation and roles of TDP-43 phosphorylation remain incompletely understood. A variety of techniques have been utilized to understand TDP-43 phosphorylation, including kinase/phosphatase manipulation, phosphomimic variants, and genetic, physical, or chemical inducement in a variety of cell cultures and animal models, and via analyses of post-mortem human tissues. These studies have produced conflicting results: suggesting incongruously that TDP-43 phosphorylation may either drive disease progression or serve a neuroprotective role. In this review, we explore the roles of regulators of TDP-43 phosphorylation including the putative TDP-43 kinases c-Abl, CDC7, CK1, CK2, IKKβ, p38α/MAPK14, MEK1, TTBK1, and TTBK2, and TDP-43 phosphatases PP1, PP2A, and PP2B, in disease. Building on recent studies, we also examine the consequences of TDP-43 phosphorylation on TDP-43 pathology, especially related to TDP-43 mislocalisation, liquid-liquid phase separation, aggregation, and neurotoxicity. By comparing conflicting findings from various techniques and models, this review highlights both the discrepancies and unresolved aspects in the understanding of TDP-43 phosphorylation. We propose that the role of TDP-43 phosphorylation is site and context dependent, and includes regulation of liquid-liquid phase separation, subcellular mislocalisation, and degradation. We further suggest that greater consideration of the normal functions of the regulators of TDP-43 phosphorylation that may be perturbed in disease is warranted. This synthesis aims to build towards a comprehensive understanding of the complex role of TDP-43 phosphorylation in the pathogenesis of neurodegeneration.

Current perspectives in drug targeting intrinsically disordered proteins and biomolecular condensates

Intrinsically disordered proteins (IDPs) and biomolecular condensates are critical for cellular processes and physiological functions. Abnormal biomolecular condensates can cause diseases such as cancer and neurodegenerative disorders. IDPs, including intrinsically disordered regions (IDRs), were previously considered undruggable due to their lack of stable binding pockets. However, recent evidence indicates that targeting them can influence cellular processes. This review explores current strategies to target IDPs and biomolecular condensates, potential improvements, and the challenges and opportunities in this evolving field.

Rethinking transcription factor dynamics and transcription regulation in eukaryotes

Transcription factors (TFs) control gene expression by binding to specific DNA motifs in cis-regulatory elements. Cooperativity has been thought to ensure TF binding specificity. Recent research suggests that, at least in yeast, the role of cooperativity has probably been overemphasized. Consequently, synergy - the collective recruitment of the transcriptional machinery by TFs bound at multiple DNA sites - emerges as a more significant mechanism for achieving the specificity of the transcriptional response. Furthermore, I argue that the concentration of TFs within phase-separated nuclear condensates and their covalent modifications play an underappreciated but crucial role in sharpening transcriptional responses through complementary mechanisms. A model integrating cooperativity, synergy, post-translational modifications, and phase separation provides a comprehensive framework to explain dynamic, context-specific transcriptional responses in eukaryotes.

PSTP: accurate residue-level phase separation prediction using protein conformational and language model embeddings

Phase separation (PS) is essential in cellular processes and disease mechanisms, highlighting the need for predictive algorithms to analyze uncharacterized sequences and accelerate experimental validation. Current high-accuracy methods often rely on extensive annotations or handcrafted features, limiting their generalizability to sequences lacking such annotations and making it difficult to identify key protein regions involved in PS. We introduce Phase Separation's Transfer-learning Prediction (PSTP), which combines conformational embeddings with large language model embeddings, enabling state-of-the-art PS predictions from protein sequences alone. PSTP performs well across various prediction scenarios and shows potential for predicting novel-designed artificial proteins. Additionally, PSTP provides residue-level predictions that are highly correlated with experimentally validated PS regions. By analyzing 160 000+ variants, PSTP characterizes the strong link between the incidence of pathogenic variants and residue-level PS propensities in unconserved intrinsically disordered regions, offering insights into underexplored mutation effects. PSTP's sliding-window optimization reduces its memory usage to a few hundred megabytes, facilitating rapid execution on typical CPUs and GPUs. Offered via both a web server and an installable Python package, PSTP provides a versatile tool for decoding protein PS behavior and supporting disease-focused research.

DEAD/DEAH-box RNA helicases shape the risk of neurodevelopmental disorders

The DEAD/DEAH-box family of RNA helicases (RHs) is among the most abundant and conserved in eukaryotes. These proteins catalyze the remodeling of RNAs to regulate their splicing, stability, localization, and translation. Rare genetic variants in DEAD/DEAH-box proteins have recently emerged as being associated with neurodevelopmental disorders (NDDs). Analyses in cellular and animal models have uncovered fundamental roles for these proteins during brain development. We discuss the genetic and functional evidence that implicates DEAD/DEAH-box proteins in brain development and NDDs, with a focus on how structural insights from paralogous genes can be leveraged to advance our understanding of the pathogenic mechanisms at play.

Aging-dependent evolving electrochemical potentials of biomolecular condensates regulate their physicochemical activities

A passive consequence of macromolecular condensation is the establishment of an ion concentration gradient between the dilute and dense phases, which in turn governs distinct electrochemical properties of condensates. However, the mechanisms that regulate the electrochemical equilibrium of condensates and their impacts on emergent physicochemical functions remain unknown. Here we demonstrate that the electrochemical environments and the physical and chemical activities of biomolecular condensates, dependent on the electrochemical potential of condensates, are regulated by aging-associated intermolecular interactions and interfacial effects. Our findings reveal that enhanced dense-phase interactions during condensate maturation continuously modulate the ion distribution between the two phases. Moreover, modulating the interfacial regions of condensates can affect the apparent pH within the condensates. To directly probe the interphase and interfacial electric potentials of condensates, we have designed and implemented electrochemical potentiometry and second harmonic generation-based approaches. Our results suggest that the non-equilibrium nature of biomolecular condensates might play a crucial role in modulating the electrochemical activities of living systems.

Toward Design Principles for Biomolecular Condensates for Metabolic Pathways

Biology uses membrane-less organelles or biomolecular condensates as dynamic reaction compartments that can form or dissolve to regulate biochemical pathways. This has led to a flurry of research aiming to design new synthetic organelles that function as reaction crucibles for enzymes and biomolecular cascades in biotechnology. The mechanisms by which a condensate can enhance multistep biochemical processes including mass action, tuning the chemical environment, scaffolding and metabolic channelling is reviewed. These mechanisms are not inherently beneficial for the rate of enzymatic processes but can also inhibit a reaction. Similarly, some aspects of condensates are likely intrinsically inhibitory including retardation of diffusion, where the net effect of a condensate will be a trade-off between inhibitory and stimulatory effects. It is discussed which generalizable conclusions can be drawn so far and how close it is to design principles for condensates for enzyme cascades in microbial cell factories including which reactions are likely to be enhanced by condensates and which type of condensate will be suited for which reaction.

Phosphorylation-dependent charge blocks regulate the relaxation of nuclear speckle networks

Nuclear speckles (NSs) are viscoelastic network fluids formed via phase separation coupled to percolation (PSCP). Intermolecular crosslinks of SRRM2 lead to the emergence of system-spanning networks, although the physicochemical grammar governing SRRM2 PSCP remains poorly decoded. Here, we demonstrate that SRRM2 is extensively phosphorylated within the intrinsically disordered region (IDR), creating alternating charge blocks. We show that this specific charge pattern does not markedly alter the condensation threshold of SRRM2 in cells. Instead, SRRM2 charge blocks intensify intra-network molecular interactions to modulate the material properties of mesoscopic SRRM2 condensates. We further identify casein kinase 2 (CK2) as the upstream enzyme to catalyze SRRM2 phosphorylation. Phosphorylation of SRRM2 IDR by CK2 facilitates NS relaxation, which is associated with enhanced efficiency of mRNA splicing to safeguard genome stability during DNA damage. Our findings reveal important regulatory mechanisms of charge blocks in modulating the material properties and functions of biomolecular condensates in human cells.

Combinatorial tagging generates a multi-purpose knock-in mouse model revealing phase separation-dependent germ granules in RNA homeostasis and germline development

A large resource of epitope-tagged and Cre/CreERT2-expressing mouse models are available for studying germ granules and germline development. Germ granules are proteinaceous, membraneless organelles (MLO) involved in germ cell differentiation and maturation; however, their protein and RNA transcript constituents, as well as their functional mechanisms remain incompletely understood. Herein, we generated a versatile germline mouse model through combinatorially tagging DDX4 to enable simultaneous expression of three cistronic coding products (C-terminally tagged DDX4 - DDX45HA, EGFP, and CreERT2) under the control of the endogenous Ddx4 promoter. By leveraging the high-affinity HA tag, we optimized an efficient workflow to purify germ granules (Chromatoid body, CB) from spermatids, and characterized their protein and RNA transcript composition. Moreover, we explored and ascertained that DDX4-mediated, phase-separation dependent CB integrity is functionally important for recruiting distinctive long RNA transcripts and for the biogenesis of pachytene- and TE-derived piRNAs. Together, our study generated a versatile germline mouse model with a multiplicity of applications for germline study, and provided mechanistic insights into germline development as dictated by germ granules.

A hollow TFG condensate spatially compartmentalizes the early secretory pathway

In the early secretory pathway, endoplasmic reticulum (ER) and Golgi membranes form a nearly spherical interface. In this ribosome-excluding zone, bidirectional transport of cargo coincides with a spatial segregation of anterograde and retrograde carriers by an unknown mechanism. We show that at physiological conditions, the Trk-fused gene (TFG) self-organizes to form a hollow, anisotropic condensate that matches the dimensions of the ER-Golgi interface and is dynamically regulated across the cell cycle. Regularly spaced hydrophobic residues in TFG control the condensation mechanism and result in a porous condensate surface. We find that TFG condensates act as a molecular sieve capable of allowing access of anterograde coats (COPII) to the condensate interior while restricting retrograde coats (COPI). We propose that a hollow TFG condensate structures the ER-Golgi interface to create a diffusion-limited space for anterograde transport. We further propose that TFG condensates optimize membrane flux by insulating secretory carriers in their lumen from retrograde carriers outside TFG cages.

Design and Characterization of DNA-Driven Condensates: Regulating Topology, Mechanical Properties, and Immunorecognition

Cells maintain spatiotemporal control over biochemical processes through the formation and dissolution of biomolecular condensates, dynamic membraneless organelles formed via liquid-liquid phase separation. Composed primarily of proteins and nucleic acids, these condensates regulate key cellular functions, and their properties are influenced by the concentration and type of molecules involved. The structural versatility challenges the de novo design and assembly of condensates with predefined properties. Through feedback between computational and experimental approaches, we introduce a modular system for assembling condensates using nucleic acid nanotechnology. By utilizing programmable oligonucleotides and orthogonal synthesis methods, we control the structural parameters, responsive behavior, and immunorecognition of the products. Dissipative particle dynamics simulations predict some conditions to produce larger, well-defined condensates with compact, globular cores, while others result in smaller, more diffuse analogs. Fluorescence microscopy confirms these findings and microrheology demonstrates the viscoelastic adaptability of tested condensates. Nucleases trigger disruption of structures, and ethidium bromide intercalation protects condensates from digestion. Immunostimulatory assays suggest condensate-specific activation of the IRF pathway via cGAS-STING signaling. This study provides a framework for developing biomolecular condensates with customizable properties and immunorecognition for various biological applications.

Synapsin Condensation is Governed by Sequence-Encoded Molecular Grammars

Multiple biomolecular condensates coexist at the pre- and post- synapse to enable vesicle dynamics and controlled neurotransmitter release in the brain. In pre-synapses, intrinsically disordered regions (IDRs) of synaptic proteins are drivers of condensation that enable clustering of synaptic vesicles (SVs). Using computational analysis, we show that the IDRs of SV proteins feature evolutionarily conserved non-random compositional biases and sequence patterns. Synapsin-1 is essential for condensation of SVs, and its C-terminal IDR has been shown to be a key driver of condensation. Focusing on this IDR, we dissected the contributions of two conserved features namely the segregation of polar and proline residues along the linear sequence, and the compositional preference for arginine over lysine. Scrambling the blocks of polar and proline residues weakens the driving forces for forming micron-scale condensates. However, the extent of clustering in subsaturated solutions remains equivalent to that of the wild-type synapsin-1. In contrast, substituting arginine with lysine significantly weakens both the driving forces for condensation and the extent of clustering in subsaturated solutions. Co-expression of the scrambled variant of synapsin-1 with synaptophysin results in a gain-of-function phenotype in cells, whereas arginine to lysine substitutions eliminate condensation in cells. We report an emergent consequence of synapsin-1 condensation, which is the generation of interphase pH gradients that is realized via differential partitioning of protons between coexisting phases. This pH gradient is likely to be directly relevant for vesicular ATPase functions and the loading of neurotransmitters. Our studies highlight how conserved IDR grammars serve as drivers of synapsin-1 condensation.

Backbone-mediated weakening of pairwise interactions enables percolation in peptide-based mimics of protein condensates

Biomolecular condensates formed by intrinsically disordered proteins (IDPs) are semidilute solutions. These can be approximated as solutions of blob-sized segments, which are peptide-sized motifs. We leveraged the blob picture and molecular dynamics simulations to quantify differences between inter-residue interactions in model compound and peptide-based mimics of dense versus dilute phases. The all-atom molecular dynamics simulations use a polarizable forcefield. In model compound solutions, the interactions between aromatic residues are stronger than interactions between cationic and aromatic residues. This holds in dilute and dense phases. Cooperativity within dense phases enhances pairwise interactions leading to finite-sized nanoscale clusters. The results for peptide-based condensates paint a different picture. Backbone amides add valence to the associating molecules. While this enhances pairwise inter-residue interactions in dilute phases, it weakens pair interactions in dense phases, doing so in a concentration-dependent manner. Weakening of pair interactions enables fluidization characterized by short-range order and long-range disorder. The higher valence afforded by the peptide backbone generates system-spanning networks. As a result, dense phases of peptides are best described as percolated network fluids. Overall, our results show how peptide backbones enhance pairwise interactions in dilute phases while weakening these interactions to enable percolation within dense phases.

Induction and Manipulation of Biomolecular Condensates Through Spatially Heterogeneous Solution Conditions

The study of biomolecular condensates (BMCs) is of great current interest because of the proposed roles of these types of assemblies in biological function and disease. In living cells, BMCs form in a highly heterogeneous environment and are influenced by concentration gradients of various relevant species. Furthermore, the biological functionality of the BMCs requires precise spatial control of their formation in some cases. In recent years, a number of in vitro experimental approaches have emerged that allow the generation, study, and manipulation of BMCs through the creation of well-defined spatially heterogeneous solution conditions relevant for BMC formation. In this concept article, it is presented in what way such methods can contribute to improved understanding and control of BMCs.

Unraveling biomolecular and community grammars of RNA granules via machine learning

Membraneless RNA granules are essential for posttranscriptional gene regulation, influencing cellular functions and contributing to neurodegenerative diseases. However, a comprehensive understanding of their compositions and organization has been challenging due to their complex nature. In this study, we develop robust machine learning models to reliably identify RNA granule proteomes within the human proteome, capturing central RNA granule characteristics despite the heterogeneity across diverse in vitro conditions. Furthermore, we uncover protein-protein interaction (PPI) community grammars within the RNA granule proteome, highlighting PPIs as key stabilizers of RNA granule structure and function. Dense PPI clusters serve as stable "cores," forming key functional subunits across heterogeneous RNA granules. We introduce a state-of-the-art framework for understanding RNA granule biology and underscore the critical role of PPIs in maintaining RNA granule integrity.

Signal-induced NLRP3 phase separation initiates inflammasome activation

NLRP3 inflammasome is activated by diverse stimuli including infections, intracellular and environmental irritants. How NLRP3 senses these unrelated stimuli and what activates NLRP3 remain unknown. Here we report that signal-dependent NLRP3 phase separation initiated its activation, in which the palmitoyltransferase ZDHHC7-mediated tonic NLRP3 palmitoylation and an IDR region in the FISNA domain of NLRP3 play important roles. Moreover, three conserved hydrophobic residues in the IDR critically mediate multivalent weak interactions. NLRP3-activating stimuli including K+ efflux and NLRP3-interacting molecules imiquimod, palmitate, and cardiolipin all cause NLRP3 conformational change and induce its phase separation and activation in cells and/or in vitro. Surprisingly, amphiphilic molecules like di-alcohols used to inhibit biomolecular phase separation and chemotherapeutic drugs doxorubicin and paclitaxel activate NLRP3 independently of ZDHHC7 by directly inducing NLRP3 phase separation. Mechanistically, amphiphilic molecules decrease the solubility of both palmitoylated and non-palmitoylated NLRP3 to directly induce its phase separation and activation while NLRP3 palmitoylation reduces its solubility to some extent without activation. Therefore, ZDHHC7-mediated NLRP3 palmitoylation in resting cells licenses its activation by lowering the threshold for NLRP3 phase separation in response to any of the diverse stimuli whereas NLRP3 solubility-reducing molecules like di-alcohols and chemotherapeutic drugs activate NLRP3 directly. The signal-induced NLRP3 phase separation likely provides the simplest and most direct mechanistic basis for NLRP3 activation.

Corelet™ platform: Precision high throughput screening for targeted drug discovery of biomolecular condensates

Biomolecular condensates (BMCs) are crucial for cellular organization and function, and their dysregulation is linked to neurological, oncologic and inflammatory diseases. This highlights the need for advanced investigative tools leading to targeted BMC therapeutics. To address this need, Nereid Therapeutics uses Corelet™ technology and an automated high-throughput screening (HTS) platform to precisely quantify phase separation events and identify BMC modulators for previously undruggable targets. Hundreds of thousands of small molecules have been screened utilizing Corelet technology, yielding small molecule BMC-modulating compounds which serve as the basis for the development of targeted therapies for diseases with high unmet need.

Prediction of phase-separation propensities of disordered proteins from sequence

Phase separation is one possible mechanism governing the selective cellular enrichment of biomolecular constituents for processes such as transcriptional activation, mRNA regulation, and immune signaling. Phase separation is mediated by multivalent interactions of macromolecules including intrinsically disordered proteins and regions (IDRs). Despite considerable advances in experiments, theory, and simulations, the prediction of the thermodynamics of IDR phase behavior remains challenging. We combined coarse-grained molecular dynamics simulations and active learning to develop a fast and accurate machine learning model to predict the free energy and saturation concentration for phase separation directly from sequence. We validate the model using computational and previously measured experimental data, as well as new experimental data for six proteins. We apply our model to all 27,663 IDRs of chain length up to 800 residues in the human proteome and find that 1,420 of these (5%) are predicted to undergo homotypic phase separation with transfer free energies < -2 kBT. We use our model to understand the relationship between single-chain compaction and phase separation and find that changes from charge- to hydrophobicity-mediated interactions can break the symmetry between intra- and intermolecular interactions. We also provide proof of principle for how the model can be used in force field refinement. Our work refines and quantifies the established rules governing the connection between sequence features and phase-separation propensities, and our prediction models will be useful for interpreting and designing cellular experiments on the role of phase separation, and for the design of IDRs with specific phase-separation propensities.

Uncovering the mechanism for polar sequestration of the major bacterial sugar regulator by high-throughput screens and 3D interaction modeling

The poles of rod-shaped bacteria emerge as regulatory hubs. We have shown that enzyme I (EI), the major bacterial sugar metabolism regulator, is sequestered when not needed in TmaR phase-separated condensates in Escherichia coli cell poles. Here, we combined genetic and automated microscopy screens to identify residues in EI and TmaR that are important for their interaction and colocalization. Mutating these residues affects EI-TmaR interaction in bacteria and impairs co-phase separation in yeast. The results were used to generate an EI-TmaR interaction model, which agrees with coevolution data and is supported by conservation of the interacting residues and EI-TmaR colocalization in other species. Mutating residues predicted to interact electrostatically further supports our model. The model explains how TmaR controls EI activity and its interaction with the phosphoprotein HPr and, hence, sugar uptake. Our study highlights the importance of sugar metabolism spatial regulation during evolution and presents a way to unravel protein-protein interactions.

Intrinsic hydrophobicity of IDP-based biomolecular condensates drives their partial drying on membrane surfaces

The localization of biomolecular condensates to intracellular membrane surfaces has emerged as an important feature of sub-cellular organization. In this work, we study the wetting behavior of biomolecular condensates on various substrates. We use confocal microscopy to measure the contact angles of model condensates formed by intrinsically disordered protein Ddx4N. We show the importance of taking optical aberrations into account, as these impact apparent contact angle measurements. Ddx4N condensates are seen to partially dry (contact angles above 90°) a model membrane, with little dependence on the magnitude of charge on, or tyrosine content of, Ddx4N. Further contact angle measurements on surfaces of varying hydrophilicity reveal a preference of Ddx4N condensates for hydrophobic surfaces, suggesting an intrinsic repulsion between protein condensates and hydrophilic membrane surfaces. This observation is in line with previous studies relating protein adsorption to surface hydrophilicity. Our work advances the understanding of the molecular details governing the localization of biomolecular condensates.

Cooperation of a polymerizing SAM domain and an intrinsically disordered region enables full SAMD1 function on chromatin

Transcription factors orchestrate gene expression through a myriad of complex mechanisms, encompassing collaborations with other transcription factors and the formation of multimeric complexes. The chromatin-binding protein SAMD1 [sterile alpha motif (SAM) domain-containing protein 1] binds to unmethylated CpG-rich DNA utilizing its N-terminal winged-helix (WH) domain. Additionally, its C-terminal SAM domain, which mediates interactions with itself and with L3MBTL3, is crucial for chromatin binding. The precise role of the SAM domain in this process remains unclear. Using structural analyses, we elucidated the distinct homopolymerization modes within the SAM domains of L3MBTL3 and SAMD1, alongside their heterodimerization architecture. Interestingly, SAMD1 necessitates not only the WH and SAM domain but also a proline/alanine-rich intrinsically disordered region (IDR) for efficient chromatin binding. The IDR is essential for the ability of SAMD1 to form large polymers, with its functionality determined by integrity rather than the specific sequence. Mutagenesis studies underscore the critical role of arginines within the IDR for polymerization, chromatin binding, and the biological function of SAMD1. These findings propose a model in which structured and unstructured regions of SAMD1 cooperate in a coordinated fashion to facilitate chromatin binding. This work provides new insights into the diverse mechanisms transcription factors employ to interact with chromatin and regulate gene expression.

RNA guanine content and G-quadruplex structure tune the phase behavior and material properties of biomolecular condensates

RNA binding proteins (RBPs) are enriched in phase separated biomolecular assemblies across cell types. These RBPs often harbor arginine-glycine rich RGG motifs, which can drive phase separation, and can preferentially interact with RNA G-quadruplex (G4) structures, particularly in the neuron. Increasing evidence underscores the important role that RNA sequence and structure play in contributing to the form and function of protein condensates, however, less is known about the role of G4 RNAs and their interaction with RGG domains specifically. In this study we focused on the model protein, Fragile X mental retardation protein (FMRP), to investigate how G4-containing RNA sequences impact the phase behavior and material properties of condensates. FMRP is implicated in the development of Fragile X Syndrome, and is enriched in neuronal granules where it is thought to aid in mRNA trafficking and translational control. Here, we examined RNA sequences with increasing G content and G4 propensity in complex with the RGG-containing low complexity region (LCR) of FMRP. We found, that while increasing G content triggers aggregation of poly-arginine, all RNA sequences supported phase separation into liquid droplets with FMRP-LCR. Combining microrheology, and fluorescence recovery after photobleaching, we measured a moderate increase in viscosity and decrease in dynamics for increasing G-content, and detected no measurable increase in elasticity as a function of G4 structure. Additionally, we found that while methylation of FMRP decreased RNA binding affinity, this modification did not impact condensate material properties suggesting that RNA sequence/structure can play a greater role than binding affinity in determining the emergent properties of condensates. Together, this work lends much needed insight into the ways in which G-rich RNA sequences tune the assembly, dynamics and material properties of protein/RNA condensates and/or granules.

Single-fluorogen imaging reveals distinct environmental and structural features of biomolecular condensates

Biomolecular condensates are viscoelastic materials. Simulations predict that condensates formed by intrinsically disordered proteins are network fluids defined by spatially inhomogeneous organization of the underlying molecules. Here, we test these predictions and find that molecules within condensates are organized into slow-moving nanoscale clusters and fast-moving dispersed molecules. These results, obtained using single-fluorogen tracking and super-resolution imaging of different disordered protein-based condensates, affirm the predicted spatially inhomogeneous organization of molecules within condensates. We map the internal environments and interfaces of condensates using fluorogens that localize differently to the interiors versus interface between dilute phase and condensate. We show that nanoscale clusters within condensates are more hydrophobic than regions outside the clusters, and regions within condensates that lie outside clusters are more hydrophobic than coexisting dilute phases. Our findings provide a structural and dynamical basis for the viscoelasticity of condensates.

The Cation-π Interaction in Chemistry and Biology

The cation-π interaction is an important noncovalent binding force that impacts all areas of chemistry and biology. Extensive computational and gas phase experimental studies have established the potential strength and the essential nature of the interaction. Previous reviews have emphasized studies of model systems and a variety of biological examples. This work includes discussion of those areas but emphasizes other areas that are perhaps less well appreciated. These include the novel cation-π binding ability of alkali metals in water; the application of the cation-π interaction to organic synthesis and chemical biology; cooperative behaviors of multiple cation-π interactions, including adhesive proteins from mussels and similar organisms and the formation and modulation of biomolecular condensates (phase separation); and cation-π interactions involved in recognizing DNA/RNA.

Predicting Heteropolymer Phase Separation Using Two-Chain Contact Maps

Phase separation in polymer solutions often correlates with single-chain and two-chain properties, such as the single-chain radius of gyration,R g , and the pairwise second virial coefficient,B 22 . However, recent studies have shown that these metrics can fail to distinguish phase-separating from non-phase-separating heteropolymers, including intrinsically disordered proteins (IDPs). Here we introduce an approach to predict heteropolymer phase separation from two-chain simulations by analyzing contact maps, which capture how often specific monomers from the two chains are in physical proximity. WhereasB 22 summarizes the overall attraction between two chains, contact maps preserve spatial information about their interactions. To compare these metrics, we train phase-separation classifiers for both a minimal heteropolymer model and a chemically specific, residue-level IDP model. Remarkably, simple statistical properties of two-chain contact maps predict phase separation with high accuracy, vastly outperforming classifiers based onR g andB 22 alone. Our results thus establish a transferable and computationally efficient method to uncover key driving forces of IDP phase behavior based on their physical interactions in dilute solution.

Peptide-mediated liquid-liquid phase separation and biomolecular condensates

Liquid-liquid phase separation (LLPS) is a cornerstone of cellular organization, driving the formation of biomolecular condensates that regulate diverse biological processes and inspire innovative applications. This review explores the molecular mechanisms underlying peptide-mediated LLPS, emphasizing the roles of intermolecular interactions such as hydrophobic effects, electrostatic interactions, and π-π stacking in phase separation. The influence of environmental factors, such as pH, temperature, ionic strength, and molecular crowding on the stability and dynamics of peptide coacervates is examined, highlighting their tunable properties. Additionally, the unique physicochemical properties of peptide coacervates, including their viscoelastic behavior, interfacial dynamics, and stimuli-responsiveness, are discussed in the context of their biological relevance and engineering potential. Peptide coacervates are emerging as versatile platforms in biotechnology and medicine, particularly in drug delivery, tissue engineering, and synthetic biology. By integrating fundamental insights with practical applications, this review underscores the potential of peptide-mediated LLPS as a transformative tool for advancing science and healthcare.

Liquid-liquid phase separation drives immune signaling transduction in cancer: a bibliometric and visualized study from 1992 to 2024

Background

Liquid-liquid phase separation (LLPS) is a novel concept that could explain how living cells precisely modulate internal spatial and temporal functions. However, a comprehensive bibliometric analysis on LLPS and immune signaling processes in cancer is still scarce. This study aims to perform a bibliometric assessment of research to explore the landscape of LLPS research in immune signaling pathways for cancer.

Methods

Utilizing the Web of Science Core Collection database and multiple analysis software, we performed quantitative and qualitative analyses of the study situation between LLPS and immune signaling in cancer from 1992 to 2024.

Results

The corresponding authors were primarily from China and the USA. The most relevant references were the "International Journal of Molecular Sciences", "Proteomics". The annual number of publications exhibited a fast upward tendency from 2020 to 2024. The most frequent key terms included expression, separation, activation, immunotherapy, and mechanisms. Qualitative evaluation emphasized the TCR, BCR, cGAS-STING, RIG-1, NF-κB signaling pathways associated with LLPS processes.

Conclusion

This research is the first to integratively map out the knowledge structure and forward direction in the area of immune transduction linked with LLPS over the past 30 years. In summary, although this research area is still in its infancy, illustrating the coordinated structures and communications between cancer and immune signaling with LLPS within a spatial framework will offer deeper insights into the molecular mechanisms of cancer development and further enhance the effectiveness of existing immunotherapies.

Electrostatics of salt-dependent reentrant phase behaviors highlights diverse roles of ATP in biomolecular condensates

Liquid-liquid phase separation (LLPS) involving intrinsically disordered protein regions (IDRs) is a major physical mechanism for biological membraneless compartmentalization. The multifaceted electrostatic effects in these biomolecular condensates are exemplified here by experimental and theoretical investigations of the different salt- and ATP-dependent LLPSs of an IDR of messenger RNA-regulating protein Caprin1 and its phosphorylated variant pY-Caprin1, exhibiting, for example, reentrant behaviors in some instances but not others. Experimental data are rationalized by physical modeling using analytical theory, molecular dynamics, and polymer field-theoretic simulations, indicating that interchain ion bridges enhance LLPS of polyelectrolytes such as Caprin1 and the high valency of ATP-magnesium is a significant factor for its colocalization with the condensed phases, as similar trends are observed for other IDRs. The electrostatic nature of these features complements ATP's involvement in π-related interactions and as an amphiphilic hydrotrope, underscoring a general role of biomolecular condensates in modulating ion concentrations and its functional ramifications.

Using ALS to understand profilin 1's diverse roles in cellular physiology

Profilin is an actin monomer-binding protein whose role in actin polymerization has been studied for nearly 50 years. While its principal biochemical features are now well understood, many questions remain about how profilin controls diverse processes within the cell. Dysregulation of profilin has been implicated in a broad range of human diseases, including neurodegeneration, inflammatory disorders, cardiac disease, and cancer. For example, mutations in the profilin 1 gene (PFN1) can cause amyotrophic lateral sclerosis (ALS), although the precise mechanisms that drive neurodegeneration remain unclear. While initial work suggested proteostasis and actin cytoskeleton defects as the main pathological pathways, multiple novel functions for PFN1 have since been discovered that may also contribute to ALS, including the regulation of nucleocytoplasmic transport, stress granules, mitochondria, and microtubules. Here, we will review these newly discovered roles for PFN1, speculate on their contribution to ALS, and discuss how defects in actin can contribute to these processes. By understanding profilin 1's involvement in ALS pathogenesis, we hope to gain insight into this functionally complex protein with significant influence over cellular physiology.

Unraveling the molecular grammar and the structural transitions underlying the fibrillation of a viral fibrillogenic domain

Hendra virus (HeV) is a biosafety level 4 human pathogen belonging to the Henipavirus genus within the Paramyxoviridae family. In HeV, the phosphoprotein-encoding gene also drives the synthesis of the V and W proteins that are two major players in the host innate immune response evasion. These three proteins share a common intrinsically disordered N-terminal domain (NTD) and have distinct C-terminal domains. We recently reported the ability of a short region (i.e., PNT3), located within the shared NTD, to form fibrils. We subsequently identified a PNT3 motif (EYYY) critically involved in fibrillation and deciphered the contribution of each tyrosine to the process. Herein, we combined mutational studies with various biochemical and biophysical approaches to further investigate the molecular mechanisms underlying PNT3 fibrillation. The results show that (i) lysine residues play a critical role in driving fibrillation, (ii) hydrophobic residues affect the nucleation step, and (iii) charge distribution strongly affects the fibrillation propensities. Vibrational Raman spectroscopy data further validated the role of lysine residues in promoting fibrillation and enabled documenting the formation of cross-β amyloid structures. Altogether, these results illuminate the molecular mechanisms involved in fibril formation and pave the way towards the rational design of inhibitors.

Balancing RNA processing and innate immune response: Possible roles for SMN condensates in snRNP biogenesis

Biomolecular condensates like U-bodies are specialized cellular structures formed through multivalent interactions among intrinsically disordered regions. U-bodies sequester small nuclear ribonucleoprotein complexes (snRNPs) in the cytoplasm, and their formation in mammalian cells depends on stress conditions. Because of their location adjacent to P-bodies, U-bodies have been considered potential sites for snRNP storage or turnover. SMN, a chaperone for snRNP biogenesis, forms condensates through its Tudor domain. In fly models, defects in SMN trigger innate immune responses similar to those observed with excess cytoplasmic snRNA during viral infection in mammalian cells. Additionally, spinal muscular atrophy (SMA), caused by SMN deficiency, is associated with inflammation. Therefore, SMN may help prevent innate immune aberrant activation due to defective snRNP biogenesis by forming U-bodies to sequester these molecules. Further studies on U-body functions may provide therapeutic insights for diseases related to RNA metabolism.

Transcription regulation by biomolecular condensates

Biomolecular condensates regulate transcription by dynamically compartmentalizing the transcription machinery. Classic models of transcription regulation focus on the recruitment and regulation of RNA polymerase II by the formation of complexes at the 1-10 nm length scale, which are driven by structured and stoichiometric interactions. These complexes are further organized into condensates at the 100-1,000 nm length scale, which are driven by dynamic multivalent interactions often involving domain-ligand pairs or intrinsically disordered regions. Regulation through condensate-mediated organization does not supersede the processes occurring at the 1-10 nm scale, but it provides regulatory mechanisms for promoting or preventing these processes in the crowded nuclear environment. Regulation of transcription by transcriptional condensates is involved in cell state transitions during animal and plant development, cell signalling and cellular responses to the environment. These condensate-mediated processes are dysregulated in developmental disorders, cancer and neurodegeneration. In this Review, we discuss the principles underlying the regulation of transcriptional condensates, their roles in physiology and their dysregulation in human diseases.

Multi-omics analysis identifies a liquid-liquid phase separation-related subtypes in head and neck squamous cell carcinoma

Background

Growing evidence indicates that abnormal liquid-liquid phase separation (LLPS) can disrupt biomolecular condensates, contributing to cancer development and progression. However, the influence of LLPS on the prognosis of head and neck squamous cell carcinoma (HNSCC) patients and its effects on the tumor immune microenvironment (TIME) are not yet fully understood. Therefore, we aimed to categorize patients with HNSCC based on LLPS-related genes and explored their multidimensional heterogeneity.

Methods

We integrated the transcriptomic data of 3,541 LLPS-related genes to assess the LLPS patterns in 501 patients with HNSCC within The Cancer Genome Atlas cohort. Subsequently, we explored the differences among the three LLPS subtypes using multi-omics analysis. We also developed an LLPS-related prognostic risk signature (LPRS) to facilitate personalized and integrative assessments and then screened and validated potential therapeutic small molecule compounds targeting HNSCC via experimental analyses.

Result

By analyzing the expression profiles of 85 scaffolds, 355 regulators, and 3,101 clients of LLPS in HNSCC, we identified three distinct LLPS subtypes: LS1, LS2, and LS3. We confirmed notable differences among these subtypes in terms of prognosis, functional enrichment, genomic alterations, TIME patterns, and responses to immunotherapy. Additionally, we developed the LPRS, a prognostic signature for personalized integrative assessments, which demonstrated strong predictive capability for HNSCC prognosis across multiple cohorts. The LPRS also showed significant correlations with the clinicopathological features and TIME patterns in HNSCC patients. Furthermore, the LPRS effectively predicted responses to immune checkpoint inhibitor therapy and facilitated the screening of potential small-molecule compounds for treating HNSCC patients.

Conclusion

This study presents a new classification system for HNSCC patients grounded in LLPS. The LPRS developed in this research offers improved personalized prognosis and could optimize immunotherapy strategies for HNSCC.

Chemically Informed Coarse-Graining of Electrostatic Forces in Charge-Rich Biomolecular Condensates

Biomolecular condensates composed of highly charged biomolecules, such as DNA, RNA, chromatin, and nucleic-acid binding proteins, are ubiquitous in the cell nucleus. The biophysical properties of these charge-rich condensates are largely regulated by electrostatic interactions. Residue-resolution coarse-grained models that describe solvent and ions implicitly are widely used to gain mechanistic insights into the biophysical properties of condensates, offering transferability, computational efficiency, and accurate predictions for multiple systems. However, their predictive accuracy diminishes for charge-rich condensates due to the implicit treatment of solvent and ions. Here, we present Mpipi-Recharged, a residue-resolution coarse-grained model that improves the description of charge effects in biomolecular condensates containing disordered proteins, multidomain proteins, and/or disordered single-stranded RNAs. Mpipi-Recharged introduces a pair-specific asymmetric Yukawa electrostatic potential, informed by atomistic simulations. We show that this asymmetric coarse-graining of electrostatic forces captures intricate effects, such as charge blockiness, stoichiometry variations in complex coacervates, and modulation of salt concentration, without requiring explicit solvation. Mpipi-Recharged provides excellent agreement with experiments in predicting the phase behavior of highly charged condensates. Overall, Mpipi-Recharged improves the computational tools available to investigate the physicochemical mechanisms regulating biomolecular condensates, enhancing the scope of computer simulations in this field.

Organelle-like structural evolution of coacervate droplets induced by photopolymerization

The dynamic study of coacervates in vitro contributes our understanding of phase separation mechanisms in cells due to complex intracellular physiology. However, current researches mainly involve the use of exogenous auxiliary agents to form multi-compartmental coacervates with short-term stability. Herein, we report the endogenous self-organizing of multi-component coacervates (HA/PDDA/BSA/DMAEMA) induced by a dynamic stimulation process of protein-mediated photopolymerization. As polymerization proceeds, the cycled structural evolution and maturation from coacervate droplets into multi-compartmental coacervates, coacervate vesicles and coacervate droplets are revealed, which are driven by electrostatic interaction and osmotic pressure difference supported by dynamic and thermodynamic control. Specially, by regulating the light stimulation time, a type of multi-compartmental coacervates can be widely obtained with high structural stability over 300 days. Being a promising artificial cell model, it shows the special characteristic of compartmentalized encapsulation of substrates, efficiently improving enzymatic interfacial catalytic efficiency of organelle-like communication. Our study holds great potential for advancing the understanding of the structural evolution mechanism of membraneless organelles and provides an instructive technique for constructing multi-compartmental coacervates with long-term stability.

Centrosome-assisted assembly of the Balbiani body

The Balbiani body (Bb), which was discovered about 170 years ago, is a membraneless organelle in the oocyte in most species. In organisms like Xenopus and Zebrafish, Bb accumulates mitochondria, endoplasmic reticulum (ER), and germline determinants and regulates the proper localization of germline determinants. The Bb forms around the centrosome in the oocyte during early oogenesis. The mechanism behind its assembly has gained attention only very recently. Here, we report that overexpression of the germ plasm matrix protein Xvelo leads to the formation of a 'Bb-like' structure in somatic cells. The 'Bb-like' structure assembles around the centrosome and selectively recruits mitochondria, ER, and germline determinants. Taking advantage of this system, we investigated the roles of centrosome components on the assembly of Xvelo. Our results reveal that multiple components of the centrosome, including Sas6, Cenexin, and DZIP1, interact with Xvelo and promote its assembly, with Sas6 exhibiting the most prominent activity. Importantly, knocking down Sas6, Cenexin, and DZIP1 individually or in combination resulted in reduced Xvelo aggregates. Taken together, our work suggests that the centrosome may function as a nucleation center to promote the initiation of Xvelo assembly, resulting in the formation of the Bb around the centrosome.

Decoding phase separation of prion-like domains through data-driven scaling laws

Proteins containing prion-like low complexity domains (PLDs) are common drivers of the formation of biomolecular condensates and are prone to misregulation due to amino acid mutations. Here, we exploit the accuracy of our residue-resolution coarse-grained model, Mpipi, to quantify the impact of amino acid mutations on the stability of 140 PLD mutants from six proteins (hnRNPA1, TDP43, FUS, EWSR1, RBM14, and TIA1). Our simulations reveal the existence of scaling laws that quantify the range of change in the critical solution temperature of PLDs as a function of the number and type of amino acid sequence mutations. These rules are consistent with the physicochemical properties of the mutations and extend across the entire family tested, suggesting that scaling laws can be used as tools to predict changes in the stability of PLD condensates. Our work offers a quantitative lens into how the emergent behavior of PLD solutions vary in response to physicochemical changes of single PLD molecules.

A model that integrates the different piRNA biogenesis pathways based on studies in silkworm BmN4 cells

PIWI-interacting (pi) RNAs play an essential role in protecting the genomic integrity of germ cells from the disruptive transpositions of selfish genetic elements. One of the most important model systems for studying piRNA biogenesis is the ovary derived BmN4 cell line of the silkworm Bombyx mori. In recent years, many steps and components of the pathways involved in this process have been unraveled. However, a holistic description of piRNA biogenesis in BmN4 cells is still unavailable. In this paper, we review the state of the art and propose a novel model for piRNA biogenesis in BmN4 cells. This model was built considering the latest published data and will empower researchers to plan future experiments and interpret experimental results.

Crossovers are regulated by a conserved and disordered synaptonemal complex domain

During meiosis, the number and distribution of crossovers (COs) must be precisely regulated through CO assurance and interference to prevent chromosome missegregation and genomic instability in the progeny. Here we show that this regulation of COs depends on a disordered and conserved domain within the synaptonemal complex (SC). This domain is located at the C-terminus of the central element protein SYP-4 in Caenorhabditis elegans. While not necessary for synapsis, the C-terminus of SYP-4 is crucial for both CO assurance and interference. Although the SYP-4 C-terminus contains many potential phosphorylation sites, we found that phosphorylation is not the primary regulator of CO events. Instead, we discovered that nine conserved phenylalanines are required to recruit a pro-CO factor predicted to be an E3 ligase and regulate the physical properties of the SC. We propose that this conserved and disordered domain plays a crucial role in maintaining the SC in a state that allows transmitting signals to regulate CO formation. While the underlying mechanisms remain to be fully understood, our findings align with existing models suggesting that the SC plays a critical role in determining the number and distribution of COs along chromosomes, thereby safeguarding the genome for future generations.

Protein Condensates Unfold G-Quadruplex Resembling a Helicase Activity

Membrane-less organelles, formed by liquid-liquid phase separation, participate in many vital cellular processes and have received extensive attention recently. A notable form of noncanonical nucleic acid secondary structure, G-quadruplex (G4), interacts with the scaffolding proteins in these membrane-less organelles and becomes an integral part of this condensed phase. However, the structure and stability features of the integrated G4 remain poorly characterized. Herein, we employed NMR along with other biophysical methods to investigate the conformation of a G4 within condensates formed by a disordered protein known as DDX4N1. We discovered that the human telomeric sequence MHT24, which forms a G4 structure in a non-condensed phase solution of protein DDX4N1, unfolds when it is within DDX4N1 condensates due to phase separation. Our findings provide an instance of a protein acquiring new functionality through phase separation process, which deepen our understanding of how protein condensates regulate G4 structure and their functions.

Phase separation and ageing of glycine-rich protein from tick adhesive

Hard ticks feed on their host for multiple days. To ensure firm attachment, they secrete a protein-rich saliva that eventually forms a solid cement cone. The underlying mechanism of this liquid-to-solid transition is currently not understood. This study focuses on the phase transitions of a disordered glycine-rich protein (GRP) found in tick saliva. We show that GRP undergoes liquid-liquid phase separation via simple coacervation to form biomolecular condensates in salty environments. Cation-π and π-π interactions mediated by periodically placed arginine and aromatic amino-acid residues are the primary driving forces that promote phase separation. Interestingly, GRP condensates exhibit ageing by undergoing liquid-to-gel transition over time and exhibit adhesive properties, similar to the naturally occurring cement cone. Finally, we provide evidence for protein-rich condensates in natural tick saliva. Our findings provide a starting point to gain further insights into the bioadhesion of ticks, to develop novel tick control strategies, and towards achieving biomedical applications such as tissue sealants.

Recent advances in the synthesis and application of biomolecular condensates

Biomolecular condensates (BMCs) represent a group of organized and programmed systems that participate in gene transcription, chromosome organization, cell division, tumorigenesis, and aging. However, the understanding of BMCs in terms of internal organizations and external regulations remains at an early stage. Recently, novel approaches such as synthetic biology have been used for de novo synthesis of BMCs. These synthesized BMCs (SBMCs) driven by phase separation adeptly resemble the self-assembly and dynamics of natural BMCs, offering vast potentials in basic and applied research. This review introduces recent progresses in phase separation-induced SBMCs, attempting to elaborate on the intrinsic principles and regulatory methodologies used to construct SBMCs. Furthermore, the scientific applications of SBMCs are illustrated, as indicated by the studies of chromosome structure, pathogenesis, biomanufacturing, artificial cell design, and drug delivery. The controllable SBMCs offer a powerful tool for understanding metabolic regulations, cellular organizations, and disease-associated protein aggregations, raising both opportunities and challenges in the future of biomaterial, biotechnology, and biomedicine.

PRMT1-methylated MSX1 phase separates to control palate development

Little is known about the regulation and function of phase separation in craniofacial developmental disorders. MSX1 mutations are associated with human cleft palate, the most common craniofacial birth defect. Here, we show that MSX1 phase separation is a vertebrate-conserved mechanism underlying embryonic palatal fusion. Notably, MSX1 phase separation is triggered by its intrinsically disordered protein region (IDR) and regulated by PRMT1-catalyzed methylation, specifically asymmetric dimethylation of arginine in the MSX1 IDR including R150 and R157. Hypomethylated MSX1 due to methylation site mutations and PRMT1 deficiency consistently leads to abnormal MSX1 phase separation to form less dynamic gel-like condensates, resulting in proliferation defects of embryonic palatal mesenchymal cells and cleft palate. Besides, high frequency mutations in the MSX1 IDR, especially R157S, have been identified in humans with cleft palate. Overall, we reveal the function and regulatory pathway of MSX1 phase separation as a conserved mechanism underlying cleft palate, providing a proof-of-concept example of a phenotype-associated phase separation mechanism associated with craniofacial developmental disorders.

Liquid-liquid phase separation of intrinsically disordered proteins: Effect of osmolytes and crowders

The formation of membraneless organelles is vital for the intracellular organization of macromolecules and in regulating many cellular processes. The membraneless organelles are formed by liquid-liquid phase separation (LLPS) mainly constituted of proteins and polynucleotides. The primary factor driving the liquid demixing into two phases is the multivalency of the proteins involved, a general characteristic of intrinsically disordered proteins (IDPs) or proteins with intrinsically disordered regions (IDRs). This chapter discusses the role of IDP/IDRs in biomolecular condensate formation and the physical characteristics of these states. Further, the LLPS formation of individual proteins induced by molecular crowding and its relevance to physiological conditions are presented. The studies on the effects of small molecular osmolytes and a hydrotrope, ATP on the phase separation temperature, protein concentration, and reentrant behavior are discussed. The advancements and limitations of the computational methods to predict the phase separation behavior of IDPs, and to analyze the interactions and dynamics of the proteins in condensates are presented. The roles of phase separation in cancer, neurological disorders, and cardiovascular diseases are highlighted.

Molecular determinants of condensate composition

Cells use membraneless compartments to organize their interiors, and recent research has begun to uncover the molecular principles underlying their assembly. Here, we explore how site-specific and chemically specific interactions shape the properties and functions of condensates. Site-specific recruitment involves precise interactions at specific sites driven by partially or fully structured interfaces. In contrast, chemically specific recruitment is driven by complementary chemical interactions without the requirement for a persistent bound-state structure. We propose that site-specific and chemically specific interactions work together to determine the composition of condensates, facilitate biochemical reactions, and regulate enzymatic activities linked to metabolism, signaling, and gene expression. Characterizing the composition of condensates requires novel experimental and computational tools to identify and manipulate the molecular determinants guiding condensate recruitment. Advancing this research will deepen our understanding of how condensates regulate cellular functions, providing valuable insights into cellular physiology and organization.

Cooperative condensation of RNA-DIRECTED DNA METHYLATION 16 splicing isoforms enhances heat tolerance in Arabidopsis

Dissecting the mechanisms underlying heat tolerance is important for understanding how plants acclimate to heat stress. Here, we identify a heat-responsive gene in Arabidopsis thaliana, RNA-DIRECTED DNA METHYLATION 16 (RDM16), which encodes a pre-mRNA splicing factor. Knockout mutants of RDM16 are hypersensitive to heat stress, which is associated with impaired splicing of the mRNAs of 18 out of 20 HEAT SHOCK TRANSCRIPTION FACTOR (HSF) genes. RDM16 forms condensates upon exposure to heat. The arginine residues in intrinsically disordered region 1 (IDR1) of RDM16 are responsible for RDM16 condensation and its function in heat stress tolerance. Notably, RDM16 produces two alternatively spliced transcripts designated RDM16-LONG (RDL) and RDM16-SHORT (RDS). RDS also forms condensates and can promote RDL condensation to improve heat tolerance. Our findings provide insight into the cooperative condensation of the two RDM16 isoforms encoded by RDM16 splice variants in enhancing heat tolerance in Arabidopsis.