Biology subjects

Sanchez-Burgos, I.

Publications and source records attributed to Sanchez-Burgos, I..

15 recordsLinked to original sources

bioRxiv2026

RNA synthesis and degradation regulate biomolecular condensates through non-equilibrium feedback

Transcriptional condensates operate far from equilibrium, where continuous RNA synthesis and degradation dynamically reshape condensate composition. To investigate how RNA synthesis regulates condensate properties at sub-molecular resolution, we introduce REACT-RNA, a chemically specific coarse-grained molecular dynamics framework that explicitly couples RNA polymerisation, degradation, and nucleotide fluxes to sequence-dependent protein-RNA phase behaviour. Using FUS and MED1 as model systems, we show that RNA growth remodels condensate phase behaviour by altering RNA length distributions and intermolecular connectivity. Sustained RNA polymerisation drives re-entrant condensate dissolution, even of aged gel-like condensates, whereas RNA degradation stabilises long-lived non-equilibrium condensates containing excess RNA and negative charge beyond that tolerated at equilibrium. Our results suggest that RNA synthesis, degradation, and nucleotide fluxes drive transcriptional condensates out of thermodynamic equilibrium while condensates in turn promote reactive molecular configurations that favour RNA production, enabling transient accumulation of excess RNA and negative charge beyond equilibrium electroneutrality constraints during bursts of transcription.

biophysics↗

bioRxiv2026

Interplay between Local Diffusion, Concentration, and Inter-Protein Alignment Promotes Cross-β-Sheet Transitions at Condensate Interfaces

The interface separating a biomolecular condensate from its surroundings is increasingly recognised as a unique physical and chemical environment that actively regulates condensate behaviour. It controls surface tension, molecular organisation and chemical reactivity, and is also where pathological ageing often begins, with several proteins nucleating cross-{beta}-sheet fibrils preferentially at condensate surfaces. But does ageing emerge there because of protein-specific chemistry, or a more general physical mechanism? Using coarse-grained molecular dynamics simulations, we show that cross-{beta}-sheet nucleation generically occurs preferentially at condensate interfaces across systems of increasing chemical complexity, from simple homopolymers to patterned amphiphilic sequences. In all systems studied, interface-driven ageing has a common physical origin and can be further modulated, but not driven, by protein sequence. Specifically, terminal domains at the condensate interface gain mobility while remaining densely packed and mutually aligned, creating favourable conditions for {beta}-sheet nucleation. Ageing is amplified in amphiphilic sequences, where hydrophilic regions act as surfactants facing the dilute phase, while aggregation-prone hydrophobic domains cluster just beneath the surface, concentrating the nucleation there. This surfactant-like organisation lowers the interfacial free energy, which falls systematically as sequence asymmetry grows. By linking molecular interactions to mesoscale behaviour, these results cast the interface as a central regulator of ageing and reveal a sequence-independent physical mechanism for the liquid-to-solid transition underlying pathological aggregation in biomolecular condensates.

biophysics↗

bioRxiv2025

Determination of nucleotide-nucleotide and nucleotide-amino acid binding interactions from all-atom potential-of-mean-force calculations

Biomolecular condensates emerge from multivalent interactions between proteins and nucleic acids and are frequently modeled using coarse-grained molecular dynamics simulations. The parametrization of these models critically depends on atomistic data describing the underlying molecular interactions. In this work, we employ all-atom molecular dynamics simulations and potential-of-mean-force (PMF) calculations to investigate the interaction landscape between RNA nucleotides and protein amino acids. We begin by characterizing nucleotide-nucleotide binding modes through canonical base-pairing analysis, observing notable agreement in the predictions from both AMBER03ws and CHARMM36 force fields. Further rationalization of different nucleotide-nucleotide interaction modes involves the calculation of PMFs for ribose-ribose, phosphate-phosphate, and RNA tertiary interactions such as G-quadruplex formation. We also examine the effect of salt concentration on these interactions, finding a reduction on electrostatic self-repulsion for phosphate-phosphate binding upon increasing the ionic strength. Extending our analysis to amino acids, we first benchmark the performance of both AMBER03ws and a99SB-disp force fields for describing pairwise amino acid interactions, and then we evaluate different nucleotide-amino acid binding profiles. Our findings reveal a subset of amino acids--Lys and Arg (positively charged), Asp and Glu (negatively charged), and Gln, Ser, and Asn (polar residues)--that consistently engage with the nitrogenous bases of different nucleotides. Such binding is primarily mediated by hydrogen bonding and, in some cases, cation-{pi} interactions. Furthermore, we identify strong{pi} -{pi} stacking interactions with aromatic residues and phosphate-Arg contacts as key contributors to condensate cohesion in RNA-protein condensates. Our comprehensive analysis provides a detailed library of nucleotide-amino acid interactions, offering quantitative insights to inform coarse-grained model parametrization and deepening our understanding of condensate self-assembly, nucleic acid recognition, and phase-separation regulation at submolecular scale.

biophysics↗

bioRxiv2025

Charged mutations in the FUS low-complexity domain modulate condensate ageing kinetics

The assembly of biomolecular condensates is tightly regulated by the intracellular environment. Disruptions in the balance between condensate formation and dissolution--such as irreversible aggregation of low-complexity aromatic-rich kinked segments (LARKS)--have been implicated in multiple neuropathologies. Here, we employ non-equilibrium, residue-resolution coarse-grained simulations to investigate how specific mutations in FUS, an RNA-binding protein associated with amyotrophic lateral sclerosis and frontotemporal dementia, modulate its phase separation propensity and transition into insoluble aggregates. Our simulations reveal that mutations increasing the content of negatively charged amino acids in the low-complexity domain slow down inter-protein {beta}-sheet accumulation, while preserving the phase diagram and viscoelastic properties of the wild-type sequence. Conversely, mutations increasing the arginine content accelerate disorder-to-order LARKS transitions, driving rapid formation of amorphous kinetically trapped aggregates. Our computational approach thus provides molecular-level insights into how specific amino acid mutations and associated intermolecular interactions control the ageing kinetics of protein condensates, promoting aberrant solid-like phases.

biophysics↗

bioRxiv2025

Molecular insights on the mechanism of α1-antitrypsin condensate formation and maturation

The deficiency of 1-antitrypsin protein is a genetic disorder characterized by the accumulation of misfolded protein aggregates within hepatocytes, leading to liver dysfunction. In the lung, it is found in macrophages, bronchial and epithelial alveolar cells type 2, leading to pulmonary emphysema. Despite extensive research, the precise mechanism underlying the formation of 1-antitrypsin inclusion bodies remain elusive. In this study, we combine equilibrium and non-equilibrium molecular dynamics simulations to elucidate the intricate process of 1-antitrypsin condensate formation and maturation. Our mechanistic model explains cluster accumulation--specifically the onset of this pathogenesis--through the emergence of phase-separated liquid-like protein droplets, which subsequently undergo inter-protein {beta}-sheet transitions between misfolded variants, resulting in solid-like clusters. We find that this mechanism only applies to the misfolded variant, Z-1-antitrypsin, which phase-separates driven by its disordered C-terminus. In contrast, the native protein, M-1-antitrypsin, shows much lower propensity to phase-separate and later form kinetically trapped aggregates. Furthermore, we explore how Z-1-antitrypsin exhibits an increased capacity to form condensates near external walls with different types of interactions. Such conditions can be similar to those found within the endoplasmic reticulum membrane, where phase separation and hardening take place. Overall, our results shed light on the molecular basis of 1-antitrypsin-related disorders and provide valuable microscopic insights for the development of therapeutic strategies targeting protein misfolding and aggregation-related disorders. Author summaryAlpha-1 antitrypsin deficiency is a genetic disorder that can cause liver and lung disease. It occurs when the protein 1-antitrypsin folds incorrectly and accumulates in harmful clumps inside cells. Exactly how these clumps form has been unclear. In this study, we used computer simulations to reveal the steps behind this process. We found that the faulty version of the protein first collects into liquid-like droplets that later harden into solid clusters. This behavior is driven by a flexible tail region of the misfolded protein. In contrast, the normal version is far less likely to clump. Our findings provide new insight into disease onset and may guide the development of therapies.

biophysics↗

bioRxiv2025

Compositional control of ageing kineticsin TDP-43 condensates

Biomolecular compartments orchestrate the spatiotemporal organisation of cells. The spontaneous assembly of proteins and nucleic acids through liquid-liquid phase separation into biomolecular condensates has been shown to ubiquitously contribute to the functional compartmentalisation of the cytoplasm and nucleoplasm. However, some condensates can undergo an additional phase transition from functional liquid states to pathological solid-like assemblies (i.e., ageing). This liquid-to-solid transition, driven by the accumulation of protein cross-{beta}-sheet structures, represents a hallmark of multiple neurodegenerative disorders. In this study, we employ Molecular Dynamics simulations to explore the role of various biomolecules in regulating the ageing kinetics of condensates scaffolded by TDP-43, a key RNA-binding protein linked to amyotrophic lateral sclerosis and frontotemporal dementia. We find that the recruitment of arginine-rich peptides, such as those produced by the C9orf72 gene, accelerates the nucleation of cross-{beta}-sheet structures. In contrast, the inclusion of poly-Uridine RNA and the HSP70 chaperone significantly slows the emergence of these structures. Remarkably, we observe a correlation between the compactness of the low-complexity domain of TDP-43-- which drives the transition to cross-{beta}-sheet structures--and the condensate ageing kinetics as we vary the composition of the condensates. Moreover, we find that near-interfacial regions of TDP-43 condensates exhibit faster {beta}-sheet transitions than the bulk core of the condensate. Together, our findings underscore the critical role of client biomolecules in modulating protein conformational ensembles and intermolecular interactions, thereby controlling the propensity of condensates to transition into harmful solid-like states.

biophysics↗

bioRxiv2024

Charged peptides enriched in aromatic residues decelerate condensate ageing driven by cross-beta-sheet formation

Biomolecular condensates, formed through liquid-liquid phase separation, play wide-ranging roles in cellular compartmentalization and biological processes. However, their transition from a functional liquid-like phase into a solid-like state--usually termed as condensate ageing--represents a hallmark associated with the onset of multiple neurodegenerative diseases. In this study, we design a computational pipeline to explore potential candidates, in the form of small peptides, to regulate ageing kinetics in biomolecular condensates. By combining equilibrium and non-equilibrium simulations of a sequence-dependent residue-resolution force field, we investigate the impact of peptide insertion--with different composition, patterning, and net charge--in the condensate phase diagram and ageing kinetics of archetypal proteins driving condensate ageing: TDP-43 and FUS. We reveal that small peptides composed of a specific balance of aromatic and charged residues can substantially decelerate ageing over an order of magnitude. The mechanism is controlled through condensate density reduction induced by peptide self-repulsive electrostatic interactions that specifically target protein regions prone to form cross-{beta}-sheet fibrils. Our work proposes an efficient computational framework to rapidly scan the impact of small molecule insertion in condensate ageing and develop novel pathways for controlling phase transitions relevant to disease prevention.

biophysics↗

bioRxiv2024

Capturing single-molecule properties does not ensure accurate prediction of biomolecular phase diagrams

Intracellular liquid-liquid phase separation of proteins and nucleic acids represents a fundamental mechanism by which cells organise their components into biomolecular condensates that perform multiple biological tasks. Computer simulations provide powerful tools to investigate biomolecular phase separation, offering microscopic insights into the physicochemical principles that regulate these systems. In this study, we investigate the phase behaviour of the low-complexity domain (LCD) of hnRNPA1 and several mutants via Molecular Dynamics simulations. We systematically compare the performance of five state-of-the-art residue-resolution coarse-grained protein models: HPS, HPS-cation-{pi}, CALVADOS2, Mpipi, and Mpipi-Recharged. Our evaluation focuses on how well these models reproduce experimental coexistence densities and single-protein radii of gyration for the LCD-hnRNPA1 set of mutants. While most models yield similar intramolecular contact maps and reasonable estimates of the single-protein radius of gyration compared to in vitro measurements, only Mpipi-Recharged, Mpipi, and CALVADOS2 accurately predict phase diagrams that align with experimental data. This suggests that force field parameterizations optimized solely to reproduce single-protein properties may not always capture the phase behaviour of protein solutions. Additionally, our findings reveal that some residue-resolution coarse-grained models can lead to significant discrepancies in predicting the roles of individual intermolecular interactions, even for relatively simple intrinsically disordered proteins like the low-complexity domain of hnRNPA1. Our work highlights the importance of balancing both single-molecule and collective properties of proteins to accurately predict condensate formation and material properties.

biophysics↗

bioRxiv2023

Mechano-dependent sorbitol accumulation supports biomolecular condensate

Biomolecular condensates regulate a wide range of cellular functions from signaling to RNA metabolism1, 2, yet, the physiologic conditions regulating their formation remain largely unexplored. Biomolecular condensate assembly is tightly regulated by the intracellular environment. Changes in the chemical or physical conditions inside cells can stimulate or inhibit condensate formation3-5. However, whether and how the external environment of cells can also regulate biomolecular condensation remain poorly understood. Increasing our understanding of these mechanisms is paramount as failure to control condensate formation and dynamics can lead to many diseases6, 7. Here, we provide evidence that matrix stiffening promotes biomolecular condensation in vivo. We demonstrate that the extracellular matrix links mechanical cues with the control of glucose metabolism to sorbitol. In turn, sorbitol acts as a natural crowding agent to promote biomolecular condensation. Using in silico simulations and in vitro assays, we establish that variations in the physiological range of sorbitol, but not glucose, concentrations, are sufficient to regulate biomolecular condensates. Accordingly, pharmacologic and genetic manipulation of intracellular sorbitol concentration modulates biomolecular condensates in breast cancer - a mechano-dependent disease. We propose that sorbitol is a mechanosensitive metabolite enabling protein condensation to control mechano-regulated cellular functions. Altogether, we uncover molecular driving forces underlying protein phase transition and provide critical insights to understand the biological function and dysfunction of protein phase separation.

cell biology↗

bioRxiv2022

Reordering of aromatic-rich segments in FUS inhibits ageing of FUS-RNA condensates

Maturation of functional liquid-like biomolecular condensates into solid-like aggregates has been linked to the onset of several neurodegenerative disorders. Low-complexity aromatic-rich kinked segments (LARKS) contained in numerous RNA-binding proteins can promote aggregation by forming inter-protein {beta}-sheet fibrils that accumulate over time and ultimately drive the liquid-to-solid transition of the condensates. Here, we combine atomistic molecular dynamics simulations with sequence-dependent coarse-grained models of various resolutions to investigate the role of LARKS abundance and position within the amino acid sequence in the maturation of condensates. Remarkably, proteins with tail-located LARKS display much higher viscosity over time than those in which the LARKS are placed towards the center. Yet, at very long timescales, proteins with a single LARKS--independently of its location--can still relax and behave as high viscous liquids. However, phase-separated condensates of proteins containing two or more LARKS become kinetically trapped due to the formation of percolated {beta}-sheet networks that display gel-like behaviour. Furthermore, as a work case example, we demonstrate how shifting the location of the LARKS-containing low-complexity domain of FUS protein towards its center effectively precludes the accumulation of {beta}-sheet fibrils in FUS-RNA condensates, maintaining functional liquid-like behaviour without ageing.

biophysics↗

bioRxiv2022

Surfactants or scaffolds? RNAs of different lengths exhibit heterogeneous distributions and play diverse roles in RNA-protein condensates

Biomolecular condensates, thought to form via liquid-liquid phase separation of intracellular mixtures, are multicomponent systems that can include diverse types of proteins and RNAs. RNA is a critical modulator of RNA-protein condensate stability, as it induces an RNA-concentration dependent reentrant phase transition--increasing stability at low RNA concentrations and decreasing it at high concentrations. Beyond concentration, RNAs inside condensates can be heterogeneous in length, sequence, and structure. Here, we use multiscale simulations to understanding how different RNA parameters interact with one another to modulate the properties of RNA-protein condensates. To do so, we perform residue/nucleotide-resolution coarse-grained Molecular Dynamics simulations of multicomponent RNA-protein condensates containing RNAs of different lengths and concentrations, and either FUS or PR25 proteins. Our simulations reveal that RNA length regulates the reentrant phase behaviour of RNA-protein condensates: increasing RNA length sensitively rises the maximum value that the critical temperature of the mixture reaches, and the maximum concentration of RNA that the condensate can incorporate before beginning to become unstable. Strikingly, RNA of different lengths are organised heterogeneously inside condensates, which allows them to enhance condensate stability via two distinct mechanisms: shorter RNA chains accumulate at the condensates surface acting as natural biomolecular surfactants, whilst longer RNA chains concentrate inside the core to saturate their bonds and enhance the density of molecular connections in the condensate. Using a patchy particle model, we demonstrate that the combined impact of RNA length and concentration on condensate properties is dictated by the valency, binding affinity, and polymer length of the various biomolecules involved. Our results postulate that diversity on RNA parameters within condensates allows RNAs to increase condensate stability by fulfilling two different criteria: maximizing enthalpic gain and minimizing interfacial free energy; hence, RNA diversity should be considered when assessing the impact of RNA on biomolecular condensates regulation.

biophysics↗

bioRxiv2022

Ageing critically transforms the network connectivity and viscoelasticity of RNA-binding protein condensates but RNA can prevent it

Biomolecular condensates, some of which are liquid-like during health, can age over time becoming gel-like pathological systems. One potential source of loss of liquid-like properties during ageing of RNA-binding protein condensates is the progressive formation of inter-protein {beta}-sheets. To bridge microscopic understanding between accumulation of inter-protein {beta}-sheets over time and the modulation of FUS and hnRNPA1 condensate viscoelasticity, we develop a multiscale simulation approach. Our method integrates atomistic simulations with sequence-dependent coarse-grained modelling of condensates that exhibit accumulation of inter-protein {beta}-sheets over time. We reveal that inter-protein {beta}-sheets notably increase condensate viscosity but does not transform the phase diagrams. Strikingly, the network of molecular connections within condensates is drastically altered, culminating in gelation when the network of strong {beta}-sheets fully percolates. However, high concentrations of RNA decelerate the emergence of inter-protein {beta}-sheets. Our study uncovers molecular and kinetic factors explaining how the accumulation of inter-protein {beta}-sheets can trigger liquid-to-solid transitions in condensates, and suggests a potential mechanism to slow such transitions down.

biophysics↗

bioRxiv2021

RNA length has a non-trivial effect in the stability of biomolecular condensates formed by RNA-binding proteins

Biomolecular condensates formed via liquid-liquid phase separation (LLPS) play a crucial role in the spatiotemporal organization of the cell material. Nucleic acids can act as critical modulators in the stability of these protein condensates. Here, we present a multiscale computational strategy, exploiting the advantages of both a sequence-dependent coarse-grained representation of proteins and a minimal coarse-grained model that represent proteins as patchy colloids, to unveil the role of RNA length in regulating the stability of RNA-binding protein (RBP) condensates. We find that for a constant RNA/protein ratio in which phase separation is enhanced, the protein fused in sarcoma (FUS), which can phase separate on its own--i.e., via homotypic interactions--only exhibits a mild dependency on the RNA strand length, whereas, the 25-repeat proline-arginine peptide (PR25), which does not undergo LLPS on its own at physiological conditions but instead exhibits complex coacervation with RNA--i.e., via heterotypic interactions--shows a strong dependence on the length of the added RNA chains. Our minimal patchy particle simulations, where we recapitulate the modulation of homotypic protein LLPS and complex coacervation by RNA length, suggest that the strikingly different effect of RNA length on homotypic LLPS versus complex coacervation is general. Phase separation is RNA-length dependent as long as the relative contribution of heterotypic interactions sustaining LLPS is comparable or higher than that committed by protein homotypic interactions. Taken together, our results contribute to illuminate the intricate physicochemical mechanisms that influence the stability of RBP condensates through RNA inclusion.

biophysics↗

bioRxiv2021

Size conservation emerges spontaneously in biomolecular condensates formed by scaffolds and surfactant clients

Biomolecular condensates are liquid-like membraneless compartments that contribute to the spatiotemporal organization of proteins, RNA, and other biomolecules inside cells. Some membraneless compartments, such as nucleoli, are dispersed as different condensates that do not grow beyond a certain size, or do not present coalescence over time. In this work, using a minimal protein model, we show that phase separation of binary mixtures of scaffolds and low-valency clients that can act as surfactants--i.e., that significantly reduce the droplet surface tension--can yield either a single drop or multiple droplets that conserve their sizes on long timescales (herein multidroplet size-conserved), depending on the scaffold to client ratio. Our simulations demonstrate that protein connectivity and condensate surface tension regulate the balance between these two scenarios. Multidroplet size-conserved behavior spontaneously arises at increasing surfactant-to-scaffold concentrations, when the interfacial penalty for creating small liquid droplets is sufficiently reduced by the surfactant proteins that are preferentially located at the interface. In contrast, low surfactant-to-scaffold concentrations enable continuous growth and fusion of droplets without restrictions. Overall, our work proposes one potential thermodynamic mechanism to help rationalize how size-conserved coexisting condensates can persist inside cells--shedding light on the roles of general biomolecular features such as protein connectivity, binding affinity, and droplet composition in this process.

biophysics↗

bioRxiv2020

Oligonucleotides can act as superscaffolds that enhance liquid-liquid phase separation of intracellular mixtures

Intracellular liquid-liquid phase separation (LLPS) enables the formation of biomolecular condensates, which play a crucial role in the spatiotemporal organisation of biomolecules (proteins, oligonucleotides). While LLPS of biopolymers has been demonstrated in both experiments and computer simulations, the physical determinants governing phase separation of protein-oligonucleotide systems are not fully understood. Here, we introduce a minimal coarse-grained model to investigate concentration-dependent features of protein-oligonucleotide mixtures. We demonstrate that adding oligonucleotides to biomolecular condensates composed of oligonucleotide-binding scaffold proteins enhances LLPS; since oligonucleotides act as ultra-high-valency molecules (termed superscaffolds) that increase the molecular connectivity among scaffold proteins. Importantly, we find that oligonucleotides promote protein LLPS via a seeding-type mechanism; recruiting numerous protein molecules and reducing the thermodynamic and kinetic barriers for nucleation and phase separation. By probing the conformational properties of oligonucleotides within droplets, we show that these biopolymers can undergo phase separation-driven compaction, which may be entropic in nature. Finally, we provide a quantitative comparison between mixture composition, protein valency, and protein-oligonucleotide interaction strengths. We find that superscaffolds preferentially recruit higher valency proteins to condensates, and that multiphase immiscibility within condensates can be achieved by modulating the relative protein-oligonucleotide binding strengths. These results shed light on the roles of oligonucleotides in ribonu-cleoprotein granule formation, heterochromatin compaction, and internal structuring of the nucleolus and stress granules.

biophysics↗