Properties Of Condensate Research Articles

Chromatin compaction during confined cell migration induces and reshapes nuclear condensates

Cell migration through small constrictions during cancer metastasis requires significant deformation of the nucleus, with associated mechanical stress on the nuclear lamina and chromatin. However, how mechanical deformation impacts various subnuclear structures, including protein and nucleic acid-rich biomolecular condensates, is largely unknown. Here, we find that cell migration through confined spaces gives rise to mechanical deformations of the chromatin network, which cause embedded nuclear condensates, including nucleoli and nuclear speckles, to deform and coalesce. Chromatin deformations exhibit differential behavior in the advancing vs. trailing region of the nucleus, with the trailing half being more permissive for de novo condensate formation. We show that this results from increased chromatin heterogeneity, which gives rise to a shift in the binodal phase boundary. Taken together, our findings show how chromatin deformation impacts condensate assembly and properties, which can potentially contribute to cellular mechanosensing.

Combined use of petroleum inclusion analysis, PVT simulation, and basin modeling for reconstruction of deep fluid phase evolution in condensate gas reservoirs

The reconstruction of the fluid phase evolution in deep condensate gas reservoirs can reveal the mechanism of condensate gas formation, facilitating the early formulation of drilling strategies. However, the complexity of petroleum fluid phase evolution during hydrocarbon generation, migration, and accumulation poses numerous challenges for the reconstruction process. Therefore, petroleum fluid inclusion analysis, PVT phase simulation, and basin modeling were used to achieve the reconstruction of phase states during key geological periods, elucidating the phase evolution of the deep condensate reservoirs in the Dongying Depression during the whole process. The modeled results show that the mature source rocks contributed to the charging and accumulation of liquid oils (38–14 Ma). Next, a low oil cracking conversion rate limited the increase of gaseous hydrocarbon fraction, so the accumulated hydrocarbons remained in a liquid phase (14–0 Ma). The late external gas inputs significantly increased the gas-oil ratio in the reservoirs, leading to the transition from the liquid oil phase to the condensate phase (5–0 Ma). The fluid compositions obtained from hydrocarbon inclusions and the physical properties of present-day condensates can effectively constrain basin modeling, leading to reliable simulation results. This work revealed that the hydrocarbon generation controls the initial hydrocarbon components in the traps for the phase evolution. Furthermore, the secondary alterations including oil cracking and gas inputs influence the proportion of methane of petroleum in the deep reservoirs, which dominates the phase evolution. Deep petroleum fluid phase changes mainly require the molar ratio of the input gas more than 50%. A model was proposed to explain the formation of deep condensate reservoirs. A series of gas inputs and escape in the successive lithological traps controls an orderly phase change of deep petroleum, and the amount of deeper gas determines the range of the existence of condensate gas reservoirs. This study not only guides the exploration of deep condensate in the Dongying Depression but also offers a workflow for the research on the formation and evolution of condensate reservoirs in other global regions.

Optical characterization of molecular interaction strength in protein condensates.

Biomolecular condensates have been identified as a ubiquitous means of intracellular organization, exhibiting very diverse material properties. However, techniques to characterize these material properties and their underlying molecular interactions are scarce. Here, we introduce two optical techniques - Brillouin microscopy and quantitative phase imaging (QPI) - to address this scarcity. We establish Brillouin shift and linewidth as measures for average molecular interaction and dissipation strength, respectively, and we used QPI to obtain the protein concentration within the condensates. We monitored the response of condensates formed by FUS and by the low-complexity domain of hnRNPA1 (A1-LCD) to altering temperature and ion concentration. Conditions favoring phase separation increased Brillouin shift, linewidth, and protein concentration. In comparison to solidification by chemical crosslinking, the ion-dependent aging of FUS condensates had a small effect on the molecular interaction strength inside. Finally, we investigated how sequence variations of A1-LCD, that change the driving force for phase separation, alter the physical properties of the respective condensates. Our results provide a new experimental perspective on the material properties of protein condensates. Robust and quantitative experimental approaches such as the presented ones will be crucial for understanding how the physical properties of biological condensates determine their function and dysfunction.

Bayesian optimization for state engineering of quantum gases

Abstract State engineering of quantum objects is a central requirement for precision sensing and quantum computing implementations. When the quantum dynamics can be described by analytical solutions or simple approximation models, optimal state preparation protocols have been theoretically proposed and experimentally realized. For more complex systems such as interacting quantum gases, simplifying assumptions do not apply anymore and the optimization techniques become computationally impractical. Here, we propose Bayesian optimization based on multi-output Gaussian processes to learn the physical properties of a Bose-Einstein condensate within few simulations only. We evaluate its performance on an optimization study case of diabatically transporting the quantum gas while keeping it in its ground state. Within a few hundred executions, we reach a competitive performance to other protocols. While restricting this benchmark to the well known Thomas-Fermi approximation for straightforward comparisons, we expect a similar performance when employing more complex theoretical models, which would be computationally more challenging, rendering standard optimal control theory protocols impractical. This paves the way for efficient state engineering of complex quantum systems including mixtures of interacting gases or cold molecules.

Condensate remodeling reorganizes innate SS18 in synovial sarcomagenesis

SS18-SSX onco-fusion protein formed through aberrant chromosomal translocation t (X, 18; p11, q11), is the hallmark and plays a critical role in synovial sarcomagenesis. The recent works indicated that both the pathological SS18-SSX tumorigenic fusion and the corresponding intrinsic physiological SS18 protein can form condensates but appear to have disparate properties. The underlying regulatory mechanism and the consequent biological significance remain largely unknown. We show that the physical properties of oncogenic fusion protein SS18-SSX condensates within cells undergo alterations compared to the proto-oncogene protein SS18. By small-molecule screening and mutant assay, we identified the recognition of H2AK119ub histone modification could account for the distinctive properties of SS18-SSX1 condensates. Notably, we show that SS18-SSX1 condensates have impact on SS18 condensates and hijack that in a phase separation manner, resulting in the relocation of protein SS18 to the H2AK119ub modification targeted by SS18-SSX1. Consequently, this leads to the downregulation of tumor suppressor genes occupied by SS18 physiologically, like CAV1 and DAB2. These results reveal the underlying mechanism of genomic disorder and tumorigenesis caused by the remodeling of oncoprotein SS18-SSX1 condensates at the macroscopic level.

Synthesis, Design, and Examination of the Cytotoxic Effects and Nuclear Condensation Properties of Novel Angrographolide-Vanillin-1,2,3-Triazoles

Synthesis, Design, and Examination of the Cytotoxic Effects and Nuclear Condensation Properties of Novel Angrographolide-Vanillin-1,2,3-Triazoles

Basic design of artificial membrane-less organelles using condensation-prone proteins in plant cells

Membrane-less organelles, formed by the condensation of biomolecules, play a pivotal role in eukaryotes. Artificial membrane-less organelles and condensates are effective tools for the creation of new cellular functions. However, it is poorly understood how to control the properties that affect condensate function, particularly in plants. Here, we report the construction of model artificial condensates using the condensation-prone proteins OsJAZ2 and AtFCA in a transient assay using rice (Oryza sativa) cells, and how condensate properties, such as subcellular localization, protein mobility, and size can be altered. We showed that proteins of interest can be recruited to condensates using nanobodies or chemically induced dimerization. Furthermore, by combining two types of condensation-prone proteins, we demonstrated that artificial hybrid condensates with heterogeneous material properties could be constructed. Finally, we showed that modified artificial condensates can be constructed in transgenic Arabidopsis thaliana plants. These results provide a framework for the basic design of synthetic membrane-less organelles in plants.

Intermolecular energy migration via homoFRET captures the modulation in the material property of phase-separated biomolecular condensates

Physical properties of biomolecular condensates formed via phase separation of proteins and nucleic acids are associated with cell physiology and disease. Condensate properties can be regulated by several cellular factors including post-translational modifications. Here, we introduce an application of intermolecular energy migration via homo-FRET (Förster resonance energy transfer), a nanometric proximity ruler, to study the modulation in short- and long-range protein-protein interactions leading to the changes in the physical properties of condensates of fluorescently-tagged FUS (Fused in Sarcoma) that is associated with the formation of cytoplasmic and nuclear membraneless organelles. We show that homoFRET captures modulations in condensate properties of FUS by RNA, ATP, and post-translational arginine methylation. We also extend the homoFRET methodology to study the in-situ formation of cytoplasmic stress granules in mammalian cells. Our studies highlight the broad applicability of homoFRET as a potent generic tool for studying intracellular phase transitions involved in function and disease.

Optical characterization of molecular interaction strength in protein condensates.

Biomolecular condensates have been identified as a ubiquitous means of intracellular organization, exhibiting very diverse material properties. However, techniques to characterize these material properties and their underlying molecular interactions are scarce. Here, we introduce two optical techniques - Brillouin microscopy and quantitative phase imaging (QPI) - to address this scarcity. We establish Brillouin shift and linewidth as measures for average molecular interaction and dissipation strength, respectively, and we used QPI to obtain the protein concentration within the condensates. We monitored the response of condensates formed by FUS and by the low-complexity domain of hnRNPA1 (A1-LCD) to altering temperature and ion concentration. Conditions favoring phase separation increased Brillouin shift, linewidth, and protein concentration. In comparison to solidification by chemical crosslinking, the ion-dependent aging of FUS condensates had a small effect on the molecular interaction strength inside. Finally, we investigated how sequence variations of A1-LCD, that change the driving force for phase separation, alter the physical properties of the respective condensates. Our results provide a new experimental perspective on the material properties of protein condensates. Robust and quantitative experimental approaches such as the presented ones will be crucial for understanding how the physical properties of biological condensates determine their function and dysfunction.

Sequence Length Controls Coil-to-Globule Transition in Elastin-like Polypeptides.

It appeared certain that elastin condensates retain liquid-like properties. However, a recent experimental study demonstrated that their aggregate states might depend on the length of hydrophobic domains. To gain microscopic insight into this behavior, we employ atomistic modeling to assess the conformational properties of hydrophobic elastin-like polypeptides (ELPs). We find that short ELPs always remain in coil-like conformations, while the longer ones prefer globule states. While the former engages in intrapeptide hydrogen bonds temporarily, retaining their liquid-like properties, the latter forms hundreds of nanosecond-long intrapeptide hydrogen bonds attributed to ordered secondary structure motifs. Our work demonstrates that the sequence length modulates the material properties of elastin condensates.

Biomolecular Condensates Based on Amino Acid for Enhancing Oral Bioavailability and Therapeutic Efficacy of Hydrophobic Drugs.

The oral administration of chemo- or immunotherapeutic drugs presents a compelling alternative for patients with malignant colorectal cancer, offering a convenient and patient-compliant "hospital-free" strategy. Unfortunately, the hydrophobic nature of many drug candidates, alongside the harsh conditions of the gastrointestinal tract, frequently results in suboptimal bioavailability and heightened systemic toxicity. To address these challenges, we harnessed the unique properties of biomolecular condensates, which form through a liquid-liquid phase separation mechanism, to develop a versatile platform for drug encapsulation and delivery. In this study, we introduce a reliable and effective amorphous oral drug delivery system based on biomolecular condensates derived from the amino acid derivative N-(benzyloxycarbonyl)-l-proline (ZP). These ZP condensates exhibit dynamic intermolecular interactions and possess unique physicochemical attributes such as fluidity and viscoelasticity. They significantly improve the solubility of hydrophobic drugs, ensuring enhanced stability and optimized pharmacokinetics under physiological and gastrointestinal conditions. By maintaining drugs in an amorphous state, we substantially increased drug bioavailability and markedly improved pharmacokinetics. Furthermore, the ZP condensates demonstrate potential as an integrated therapeutic platform capable of potentiating the synergies between chemotherapy and immunotherapy while concurrently reducing systemic toxicity. This has resulted in a significant enhancement of chemo-immunotherapy efficacy in the treatment of colorectal cancer, representing a notable advancement in drug delivery and oncology.

Structure and mechanical properties of thick molybdenum condensates and dispersion-strengthened alloys of Mo–ZrO<sub>2</sub> system

Structure and mechanical properties of thick molybdenum condensates and dispersion-strengthened alloys of Mo–ZrO<sub>2</sub> system

Microscopic Origins of Flow Activation Energy in Biomolecular Condensates.

Material properties of biomolecular condensates dictate their form and function, influencing the diffusion of regulatory molecules and the dynamics of biochemical reactions. The increasing quality and quantity of microrheology experiments on biomolecular condensates necessitate a deeper understanding of the molecular grammar that encodes their material properties. Recent reports have identified a characteristic timescale related to network relaxation dynamics in condensates, which governs their temperature-dependent viscoelastic properties. This timescale is intimately connected to an activated process involving the dissociation of sticker regions, with the energetic barrier referred to as flow activation energy. The microscopic origin of activation energy is a complex function of sequence patterns, component stoichiometry, and external conditions. This study elucidates the microscopic origins of flow activation energy in single and multicomponent condensates composed of model peptide sequences with varying sticker and spacer motifs, with RNA as a secondary component. We dissected the effects of condensate density, RNA stoichiometry, and peptide sequence patterning using extensive sequence-resolved coarse-grained simulations. We found that flow activation energy is closely linked to the lifetime of sticker-sticker pairs under certain conditions, though the presence of multiple competing stickers further complicates this relationship. The insights gained in this study should help establish predictive multiscale models for the material properties and serve as a valuable guide for the programmable design of condensates.

Decoding Biomolecular Condensate Dynamics: An Energy Landscape Approach.

AbstractA significant fraction of eukaryotic proteins contain low-complexity sequence elements with unknown functions. Many of these sequences are prone to form biomolecular condensates with unique material and dynamic properties. Mutations in low-complexity regions often result in abnormal phase transitions into pathological solid-like states. Therefore, understanding how the low-complexity sequence patterns encode the material properties of condensates is crucial for uncovering the cellular functions and evolutionary forces behind the emergence of low-complexity regions in proteins. In this work, we employ an alphabet-free energy landscape framework of the stickers and spacers to dissect how the low complexity patterns of proteins encode the material properties of condensates. We find a broad phase diagram of material properties determined by distinct energy landscape features, showing that periodic repeat motifs promote elastic-dominated while random sequences are viscous-dominated properties. We find that a certain degree of sticker periodicity is necessary to maintain the fluidity of condensates, preventing them from forming glassy or solid-like states. Finally, we show that the energy landscape framework captures viscoelastic trends seen in the recent experiments on prion domains and makes predictions for systematic variation of protein condensate viscoelasticity via altering the periodicity and strength of sticker motifs.TOC Graphic

Mechanical Profiling of Biopolymer Condensates through Acoustic Trapping.

Characterizing the mechanical properties of single colloids is a central problem in soft matter physics. It also plays a key role in cell biology through biopolymer condensates, which function as membraneless compartments. Such systems can also malfunction, leading to the onset of a number of diseases, including many neurodegenerative diseases; the functional and pathological condensates are commonly differentiated by their mechanical signature. Probing the mechanical properties of biopolymer condensates at the single particle level has, however, remained challenging. In this study, we demonstrate that acoustic trapping can be used to profile the mechanical properties of single condensates in a contactless manner. We find that acoustic fields exert the acoustic radiation force on condensates, leading to their migration to a trapping point where acoustic potential energy is minimized. Furthermore, our results show that the Brownian motion fluctuation of condensates in an acoustic potential well is an accurate probe for their bulk modulus. We demonstrate that this framework can detect the change in the bulk modulus of polyadenylic acid condensates in response to changes in environmental conditions. Our results show that acoustic trapping opens up a novel path to profile the mechanical properties of soft colloids at the single particle level in a non-invasive manner with applications in biology, materials science, and beyond.

Variation of C-terminal domain governs RNA polymerase II genomic locations and alternative splicing in eukaryotic transcription

The C-terminal domain of RPB1 (CTD) orchestrates transcription by recruiting regulators to RNA Pol II upon phosphorylation. With CTD driving condensate formation on gene loci, the molecular mechanism behind how CTD-mediated recruitment of transcriptional regulators influences condensates formation remains unclear. Our study unveils that phosphorylation reversibly dissolves phase separation induced by the unphosphorylated CTD. Phosphorylated CTD, upon specific association with transcription regulators, forms distinct condensates from unphosphorylated CTD. Functional studies demonstrate CTD variants with diverse condensation properties exhibit differences in promoter binding and mRNA co-processing in cells. Notably, varying CTD lengths influence the assembly of RNA processing machinery and alternative splicing outcomes, which in turn affects cellular growth, linking the evolution of CTD variation/length with the complexity of splicing from yeast to human. These findings provide compelling evidence for a model wherein post-translational modification enables the transition of functionally specialized condensates, highlighting a co-evolution link between CTD condensation and splicing.

VUS next in rare diseases? Deciphering genetic determinants of biomolecular condensation

The diagnostic odysseys for rare disease patients are getting shorter as next-generation sequencing becomes more widespread. However, the complex genetic diversity and factors influencing expressivity continue to challenge accurate diagnosis, leaving more than 50% of genetic variants categorized as variants of uncertain significance.Genomic expression intricately hinges on localized interactions among its products. Conventional variant prioritization, biased towards known disease genes and the structure-function paradigm, overlooks the potential impact of variants shaping the composition, location, size, and properties of biomolecular condensates, genuine membraneless organelles swiftly sensing and responding to environmental changes, and modulating expressivity.To address this complexity, we propose to focus on the nexus of genetic variants within biomolecular condensates determinants. Scrutinizing variant effects in these membraneless organelles could refine prioritization, enhance diagnostics, and unveil the molecular underpinnings of rare diseases. Integrating comprehensive genome sequencing, transcriptomics, and computational models can unravel variant pathogenicity and disease mechanisms, enabling precision medicine. This paper presents the rationale driving our proposal and describes a protocol to implement this approach. By fusing state-of-the-art knowledge and methodologies into the clinical practice, we aim to redefine rare diseases diagnosis, leveraging the power of scientific advancement for more informed medical decisions.

Atomic resolution map of the solvent interactions driving SOD1 unfolding in CAPRIN1 condensates

Biomolecules can be sequestered into membrane-less compartments, referred to as biomolecular condensates. Experimental and computational methods have helped define the physical-chemical properties of condensates. Less is known about how the high macromolecule concentrations in condensed phases contribute "solvent" interactions that can remodel the free-energy landscape of other condensate-resident proteins, altering thermally accessible conformations and, in turn, modulating function. Here, we use solution NMR spectroscopy to obtain atomic resolution insights into the interactions between the immature form of superoxide dismutase 1 (SOD1), which can mislocalize and aggregate in stress granules, and the RNA-binding protein CAPRIN1, a component of stress granules. NMR studies of CAPRIN1:SOD1 interactions, focused on both unfolded and folded SOD1 states in mixed phase and demixed CAPRIN1-based condensates, establish that CAPRIN1 shifts the SOD1 folding equilibrium toward the unfolded state through preferential interactions with the unfolded ensemble, with little change to the structure of the folded conformation. Key contacts between CAPRIN1 and the H80-H120 region of unfolded SOD1 are identified, as well as SOD1 interaction sites near both the arginine-rich and aromatic-rich regions of CAPRIN1. Unfolding of immature SOD1 in the CAPRIN1 condensed phase is shown to be coupled to aggregation, while a more stable zinc-bound, dimeric form of SOD1 is less susceptible to unfolding when solvated by CAPRIN1. Our work underscores the impact of the condensate solvent environment on the conformational states of resident proteins and supports the hypothesis that ALS mutations that decrease metal binding or dimerization function as drivers of aggregation in condensates.

Interplay of condensate material properties and chromatin heterogeneity governs nuclear condensate ripening.

Nuclear condensates play many important roles in chromatin functions, but how cells regulate their nucleation and growth within the complex nuclear environment is not well understood. Here, we report how condensate properties and chromatin mechanics dictate condensate growth dynamics in the nucleus. We induced condensates with distinct properties using different proteins in human cell nuclei and monitored their growth. We revealed two key physical mechanisms that underlie droplet growth: diffusion-driven or ripening-dominated growth. To explain the experimental observations, we developed a quantitative theory that uncovers the mechanical role of chromatin and condensate material properties in regulating condensate growth in a heterogeneous environment. By fitting our theory to experimental data, we find that condensate surface tension is critical in determining whether condensates undergo elastic or Ostwald ripening. Our model also predicts that chromatin heterogeneity can influence condensate nucleation and growth, which we validated by experimentally perturbing the chromatin organization and controlling condensate nucleation. By combining quantitative experimentation with theoretical modeling, our work elucidates how condensate surface tension and chromatin heterogeneity govern nuclear condensate ripening, implying that cells can control both condensate properties and the chromatin organization to regulate condensate growth in the nucleus.

Viscosity Regulation of Chemically Simple Condensates.

This study investigates the viscosity and liquid-solid transition behavior of biomolecular condensates formed by polyarginine chains (Rx) of varying lengths and citric acid (CA) derivatives. By condensing Rx chains of various lengths with CA derivatives, we showed that the shorter Rx chains attenuate the high aggregation tendency of the longer chains when condensed with CA. A mixture of different Rx lengths exhibited uniform intracondensate distribution, while its mobility largely depended on the ratio of the longer Rx chain. Our findings demonstrate a simple method to modulate condensate properties by adjusting the composition of scaffold molecules, shedding light on the role of molecular composition in controlling condensate viscosity and transition dynamics. This research contributes to a deeper understanding of biomolecular condensation processes and offers insights into potential strategies for manipulating condensate properties for various applications, including in the fields of synthetic biology and disease therapeutics in the future.