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Knowles, T.

Publications and source records attributed to Knowles, T..

At least 19 recordsLinked to original sources

Systematic identification of pH-sensing amyloid core motifs reveals a widespread mechanism for reversible protein assembly upon stress

Unlike irreversible pathological amyloids, reversible fibrils can be regulated via pH-sensing core motifs, characterized by amyloid properties unleashed upon stress-induced protonation of critical residues. Here, we combined bioinformatic predictions and an in vitro validation pipeline to search for pH-responsive, reversible amyloid core peptides in yeast and human proteomes. This approach uncovered biophysical properties distinguishing pH-sensing and constitutive amyloid cores and established reliable criteria to identify novel reversible assemblies based on sequence data. Selected full-length candidate proteins with evolutionarily conserved pH-sensing motifs were analyzed in Saccharomyces cerevisiae using fluorescence microscopy and SDS-resistance assays, revealing multiple proteins forming reversible assemblies in stationary phase. We found that protonation of a specific histidine in the amyloid core motif of the asparagine synthase Asn1 is necessary and sufficient for assembling catalytically inactive, reversible structures called cytoophidia. Interestingly, mutant cells that fail to assemble Asn1-cytoophidia show defects to recover from stationary phase, demonstrating functional relevance of pH-sensing amyloid core motifs in vivo. Taken together, we uncovered a widespread and conserved pH-sensing mechanism that regulates the reversible assembly and function of structurally diverse fibrils upon stress.

biochemistry↗

Complex coacervation reshapes the aggregation landscape of tau

Biomolecular condensates are increasingly implicated in protein aggregation, yet their contribution is often reduced to that of concentrating reactants. Whether the phase state of a protein itself changes how it aggregates remains unclear. Using complex coacervates of a tau repeat-domain construct (K12) with heparin, we show that phase separation does not simply accelerate tau aggregation but redirects it along a distinct kinetic regime. Amyloid nucleation and growth are largely associated with the condensed phase, where intact phase-separated mixtures nucleate with a markedly shortened lag phase, whereas the corresponding dilute phase contributes little to overall amyloid formation. Aggregation kinetics in this regime become largely decoupled from total protein concentration. Because phase equilibrium pins the composition of the dense phase, additional tau partitions largely into the coexisting dilute phase without substantially altering the reacting population. This weak concentration dependence provides a kinetic signature of compartmentalized aggregation, and it recurs across chemically distinct coacervates formed with heparin, RNA, and polyglutamate, pointing to a general feature of coacervate-mediated tau assembly rather than a heparin-specific effect. Aggregation within coacervates also yields fibrils with altered morphology and secondary structure, suggesting access to alternative regions of the assembly landscape, and shows reduced sensitivity to bulk pH perturbations. Together, these results show that condensation changes tau aggregation by defining the local reaction environment: phase equilibrium buffers the dense-phase composition, in turn altering aggregation kinetics and the properties of the amyloid formed.

biophysics↗

H3K27M-driven hypertranscription leads to a new targetable dependency in diffuse midline gliomas

Diffuse midline gliomas (DMGs) are driven by the H3K27M oncohistone--a challenging therapeutic target. However, conventional therapeutic modalities are never curative. Against this backdrop, we address an important unresolved question--are there H3K27M-induced oncogenic vulnerabilities that can be exploited for therapeutic benefit. We show that H3K27M induces hypertranscription, thus identifying hypertranscription as a new molecular feature of H3K27M-driven DMGs. We demonstrate this finding in genetic mouse models, human DMG cells, and primary tumor specimens. We further demonstrate that H3K27M-induced hypertranscription perturbs replication, heightens basal replication stress, and enhances sensitivity to ATR inhibition. In exploring therapeutic implications of these findings, we document brain penetrance, target engagement, and therapeutic efficacy of a clinical-stage ATR inhibitor (alnodesertib) in vitro and in intracranial DMG xenografts. We further demonstrate synergistic activity of alnodesertib with radiotherapy--the current standard of care for DMGs. These findings provide the mechanistic underpinning and preclinical rationale for including alnodesertib as monotherapy and in combination with radiation in clinical trials for children with H3K27M DMGs. The broad implications of our studies highlight ATR inhibition as a therapy for aggressive human cancers displaying hypertranscription.

cancer biology↗

Molecularly specific solubilization of therapeutic antibodies

Understanding the effects of formulation excipients on protein solubility is a key part of physical chemistry and pharmaceutical sciences. While excipients are routinely employed to reduce the self-association of biologic drugs, their mechanisms of action remain poorly understood and are often assumed to be broadly nonspecific. Using a high-throughput combinatorial droplet microfluidic platform, we systematically survey and quantify how common pharmaceutical excipients affect the solubility of a diverse panel of therapeutic monoclonal antibodies (mAbs). We show that, while excipients are generally solubilizing, their effects vary substantially across different mAbs, with excipient-specific solubilization scores spanning dynamic ranges of approximately 7-fold to >200-fold across the antibody panel. Histidine, arginine and sodium chloride, in particular, engage in interactions characterized by unique molecular specificity, whereas sucrose effects are largely governed by nonspecific, solvent-mediated interactions. Correlating excipient performance with dynamical mAb molecular features from solvated full-length homology models allows us to dissect and quantify the relative contributions of molecular features governing excipient-mediated solubilization. We envision this new physicochemical understanding lays the groundwork for rational excipient selection and bespoke formulation design, with direct implications for accelerating protein therapeutic development for preclinical scenarios.

biophysics↗

In vitro liquid-liquid phase separation induced by respiratory syncytial virus proteins and RNA

Respiratory syncytial virus (RSV) causes severe respiratory infections, with viral replication occurring in cytoplasmic membraneless viral factories formed by liquid-liquid phase separation (LLPS). The interactions between the RSV nucleoprotein N, phosphoprotein P, transcription factor M2-1, and RNA drive these condensates. Here we employed a microfluidic Phase Scan platform, together with biochemical and cellular assays to systematically characterise LLPS involving RSV proteins and RNA. We identified optimal stoichiometric ratios of N oligomers and P tetramers for condensate formation, demonstrated that monomeric N inhibits LLPS, and revealed that M2-1 enhances condensate formation by increasing multivalency. Notably, we discovered that M2-1 preferentially binds 5 capped RNA, distinguishing it from N, which binds uncapped RNA. These findings elucidate molecular determinants of RSV viral factory assembly and subcompartmentalisation, providing insights into viral replication mechanisms and informing potential antiviral strategies targeting LLPS processes.

microbiology↗

Tau catalyzes amyloid-β aggregation in a fold-dependent manner

Interactions between amyloidogenic proteins are emerging as critical drivers of neurodegenerative diseases, yet the molecular mechanisms remain poorly understood. In Alzheimers disease (AD) and chronic traumatic encephalopathy (CTE), co-deposition of tau and amyloid-{beta} (A{beta}) leads to accelerated disease progression. Here, we investigated the direct interaction between A{beta} and tau, combining in vitro reconstruction, computational modeling, and in vivo models. We show that tau aggregates with AD paired helical filament (PHF) and CTE folds catalyze the primary nucleation of A{beta}42 in a fold-specific manner, through an enzyme-like kinetic with recognition mechanisms. CTE fibrils exhibit the highest catalytic activity, also constraining A{beta}42 polymorphism. PHF and CTE tau fibrils increase A{beta}42 toxicity in SH-SY5Y neuroblastoma cells and transgenic Caenorhabditis elegans. Catalytic heterotypic interactions between amyloidogenic proteins offer new insights into the pathological mechanisms of multiple proteinopathies. The mechanisms described here may guide the structure-based design of new therapeutic agents targeting specific amyloidogenic interactions.

biochemistry↗

Secondary nucleation of α-Synuclein drives Mitochondria dysfunctions and Lewy body formation in Parkinson's Disease

The seeding of -Synuclein (Syn) is a key driver of Lewy pathology propagation in Parkinsons disease (PD) and forms the basis for recent diagnostic advances. However, it remains unclear how the structural and biochemical features of Syn seeds dictate their propagation efficiency, capacity to induce Lewy body formation, and resulting cellular toxicity. Using genetic and idiopathic PD cell models, we map the pathogenic cascade beginning with the seed-driven conversion of endogenous Syn, followed by impaired degradation, mitochondrial dysfunction, and ultimately Lewy body formation. By coupling kinetic modelling of aggregation with functional readouts, we identify secondary nucleation as the predominant mechanism generating toxic Syn aggregation intermediates, identifying the critical process that links seeding to pathology. Extending this framework to PD brain, we quantitatively correlate seeding capacity with the spatiotemporal spread and severity of Lewy pathology, revealing a mechanistic connection between Syn aggregation dynamics and disease progression at molecular, cellular, and anatomical levels. By unifying molecular mechanism with clinicopathological progression, our work identifies catalytic Syn fibrillar seeds as tractable targets for both disease-modifying therapy and biomarker development in PD. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=193 HEIGHT=200 SRC="FIGDIR/small/676873v1_ufig1.gif" ALT="Figure 1"> View larger version (79K): org.highwire.dtl.DTLVardef@1eca299org.highwire.dtl.DTLVardef@a714d4org.highwire.dtl.DTLVardef@1486db5org.highwire.dtl.DTLVardef@1aa895_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LISyn fibril-oligomer interplay drives mitochondrial abnormalities and Lewy pathology C_LIO_LIFibrillar Syn catalyse toxic aggregate formations via secondary nucleation C_LIO_LIPhosphorylated Syn evades lysosomal clearance and drives enhanced dysfunctions C_LIO_LISeeding capacity of Syn predicts Lewy pathology burden and disease progression C_LI

neuroscience↗

The role of N-terminal acetylation on biomolecular condensation

N-terminal acetylation (Nt-acetylation) is one of the most prevalent co-translational modifications in eukaryotes, affecting nearly 80% of the human proteome. Despite its ubiquity, the potential impact of this phenomenon on biomolecular condensation has been largely overlooked. Here, we uncover how this chemically subtle modification can exert broad and multifaceted control over phase behaviour, using Grh1, a Golgi-associated protein involved in stress-induced secretion in yeast, as a model system. We show that Nt-acetylation increases the saturation concentration for condensation, reduces droplet size and number, dampens pH sensitivity, weakens electrostatic contributions, and suppresses water dipolar relaxation within condensates, indicating reduced internal hydration and environmental responsiveness. These effects are accompanied by acetylation-dependent dimerisation and local structural changes, including a concentration-dependent gain in -helicity. Remarkably, co- condensation assays reveal that acetylated and non-acetylated forms of the same protein are only partially miscible, giving rise to core-shell architectures driven by differences in interfacial tension. Together, our findings highlight Nt-acetylation as a potent, generalizable regulator of condensate material properties, linking primary sequence chemistry to mesoscale organisation. Given its evolutionary conservation and prevalence across eukaryotic proteomes, Nt-acetylation may represent a widespread mechanism for modulating protein condensation in health and disease.

biophysics↗

Model Agnostic Conditioning of Boltzmann Generators for Peptide Cyclization

Macrocyclic peptides offer strong therapeutic potential due to their enhanced binding affinity and protease resistance, but their design remains a challenge due to limited structural data and tools that address only a narrow set of cyclization chemistries. Moreover, existing models are built to only consider ground state or mean conformations, rather than conformational ensembles that more accurately describes peptides. We introduce CO_SCPLOWYCC_SCPLOWLOPS (a Cyclic Loss for the Optimization of Peptide Structures), a model-agnostic framework that conditions Boltzmann generators to sample valid cyclic conformations--without retraining. To overcome the scarcity of cyclic peptide data, we reformulate the design problem in terms of conditional sampling over linear peptide structures via chemically informed loss functions. CO_SCPLOWYCC_SCPLOWLOPS encompasses 18 possible inter-amino acid crosslinks enabled by 6 diverse chemical reactions, and is readily extensible to many more. It leverages tetrahedral geometry constraints, using six interatomic distances to define a kernel density-estimated joint distribution from MD simulations. We demonstrate CO_SCPLOWYCC_SCPLOWLOPSs versatility via two distinct generative models: a modified Sequential Boltzmann Generator (SBG) (Tan et al., 2025) and the Equivariant Normalizing flow (ECNF) of Klein & Noe (2024). In both settings, CO_SCPLOWYCC_SCPLOWLOPS successfully biases the Boltzmann distribution toward chemically plausible macrocycles.

biophysics↗

Patch deconvolution for Fourier light-field microscopy

Imaging flow cytometry using Fourier light-field microscopy enables high-throughput three-dimensional cellular imaging, capable of capturing thousands of events per second. However, volumetric reconstruction speed remains orders of magnitude slower than the acquisition speed. The current state of art uses Richardson-Lucy algorithm, restricted to just 5-10 reconstructed per second with GPU acceleration. This limitation hinders real-time applications such as cell sorting and thus has bottlenecked the widespread adoption of 3D imaging flow cytometry. We introduce patch deconvolution, an optimisation compatible with the Richardson-Lucy framework that significantly accelerates convergence, achieving over 100-200 reconstructions per second on standard GPUs, a 20-40 fold improvement over Richardson-Lucy. Validated on both simulated and experimental datasets, patch deconvolution achieves reconstruction quality comparable to Richardson-Lucy in both static and flow data. This supports rapid cell sorting based on spatial features and enables advanced applications, such as detecting rare spatial events in large cell populations, which would otherwise be indistinguishable in traditional flow cytometry.

biophysics↗

DNA Partitioning Modulates Liquid-to-Solid Transitions and the Internal Microstructure of FUS Condensates

Protein liquid-liquid phase separation has recently been recognized as an essential process involved in cellular functions, including transcription, translation, and DNA damage repair. However, a further liquid-to-solid transition (LST) of condensates due to mutation or external stimuli can result in aggregation, sometimes pathological. The unique ability of protein condensates to concentrate and sequester biomolecules is at the heart of the regulatory mechanism, controlling the dynamics and function of the condensates. While the recruitment of essential biomolecules, such as RNA has been studied to have the impact to the condensate formation, how DNA partition can affect the phase behaviour and dynamics of protein condensates is not fully elucidated. In this study, we investigate both the short-term and long-term kinetics of double-stranded DNA partitioning into preformed fresh and aged FUS protein condensates. Confocal imaging shows that DNA partition follows the core-shell diffusion pattern within the condensates. LST slows down and reduces FUS condensates ability to recruit DNA but stabilizes the DNA-FUS condensate complex due to the heterogeneous solid network formation. Using the optical technique of Spatial Dynamic Mapping (SDM), we find that DNA partition promotes coalescence and alters the characteristics of the condensates. The partition made the condensates more dynamic in the short term (within minutes) but accelerated LST in long-term incubation (within hours), ultimately leading to an irreversible porous core-shell structure of FUS condensates. Our findings reveal the kinetics of DNA partition during aging and its impact on LST, underlining the modulation of condensate properties by molecule sequestration, shedding light on possible regulation of disease-related LST of biomolecular condensates.

biophysics↗

Scaling relations of multi-component phase coexistence boundaries

Multicomponent phase-separating molecular systems play a key role as membraneless organelles in living cells. Phase diagrams are indispensable for probing the concentration-dependent behaviour of these condensates, yet their interpretation has remained largely qualitative due to the challenges of modelling complex, multicomponent interactions. Here, we present a generic framework for quantitative analysis of phase diagrams. We derive an analytical expression for the phase boundary normal vector, which reveals two distinct scaling regimes: one for associative phase separation, characterised by a power-law scaling analogous to mass-action kinetics that allows for direct extraction of dense phase solute molar ratios, and another for condensate dissolution, where an exponential scaling quantifies three-body repulsion effects triggered by the addition of a new component. We demonstrate the practical utility of our framework by applying it to a range of experimentally measured phase diagrams, including those for proteins such as NSP5, NSP2, FUS, Whi3, G3BP1, and antimicrobial peptides. Collectively, our work not only provides a clear quantitative interpretation of phase diagrams but also opens new avenues for the rigorous characterisation of multicomponent phase-separating systems.

biophysics↗

Structural defects in amyloid-β fibrils drive secondary nucleation

The nucleation of amyloid fibrils from monomeric protein, catalyzed by the surface of existing fibrils, is an important driver of many disorders such as Alzheimers and Parkinsons diseases. The structural basis of this secondary nucleation process, however, is poorly understood. Here, we ask whether secondary nucleation sites are found predominantly at rare growth defects: defects in the fibril core structure generated during their original assembly. We first demonstrate using the specific inhibitor of secondary nucleation, Brichos, that secondary nucleation sites on Alzheimers disease-associated fibrils composed of A{beta}40 and A{beta}42 peptides are rare compared to the number of protein molecules they contain. We then grow A{beta}40 fibrils under conditions designed to eliminate most growth defects while leaving the regular fibril morphology unchanged, and confirm the latter using cryo-electron microscopy. We measure both the ability of these annealed fibrils to promote secondary nucleation and the stoichiometry of their secondary nucleation sites, finding that both are greatly reduced as predicted. Re-analysis of published data for other proteins suggests that fibril growth defects that expose monomer planes or other structural units may also drive secondary nucleation generally, across most or all amyloids. These findings could unlock structure-based drug design of therapeutics that aim to halt amyloid disorders by inhibiting secondary nucleation sites.

biophysics↗

Liquid-solid coexistence at single fibril resolution during tau condensate ageing

Aggregated fibrillar tangles of the microtubule-associated protein tau are a hallmark of Alzheimers disease. It is becoming increasingly clear that a key process that can trigger the formation of such tau tangles is the aberrant ageing of biomolecular condensates of tau formed via liquid-liquid phase separation. This ageing process affects the overall mechanical and structural properties of the condensates, but the molecular-level mechanisms by which aggregation takes place in the condensates have remained elusive. Here, by tracking individual tau molecules inside the condensates using single molecule microscopy, we show that the ageing process is characterized by the coexistence of a growing solid phase of tau within a dense liquid phase. The liquid phase is increasingly confined to the pores of the growing fibril gel network, but maintains its initial viscosity. These findings add a spatial dimension to the ageing of condensates and demonstrate that spatial heterogeneity is a key feature of the liquid-to-solid transition of tau.

biophysics↗

Dynamically arrested condensate fusion creates complex structures with varying material properties

The cell nucleus and cytosol contain numerous biomolecular condensates which dynamically reshape, fuse and split to accomplish precise compartmentalization of the cell material. While it has been observed that some condensates rapidly coalesce, some others only attach to each other, or do not establish persistent interactions over time. Here, we explain these observations through optical tweezers and Molecular Dynamics simulations focusing on two condensate-forming, RNA-binding proteins--FUS and G3BP1--strongly involved in RNA metabolism and stress responses. We find that the fusion of pure droplets formed by these proteins can give rise to multiphase single-component condensates exhibiting notably different densities, architectures, and material properties. Such behaviour is dictated by the relative timescales of condensate fusion and protein internal mixing. A critical parameter controlling this interplay is the extent of ageing that condensates display; e.g., their progressive hardening driven by the accumulation of inter-protein {beta}-sheet assemblies over time. Strikingly, different degrees of ageing in fusing droplets can lead single-component condensates to form diverse architectures including concentric drops or two-sided condensates. Overall, our results highlight a mechanism, based on the temporal coupling between ageing, fusion, and mixing rate, by which biomolecular condensates form multiphasic structures with markedly different material properties, and hence potentially distinct biological roles.

biophysics↗

Extracellular phase separation mediates storage and release of thyroglobulin in the thyroid follicular lumen

Thyroid hormones are produced by the thyroid gland and are essential for regulating metabolism, growth and development. Maintenance of circulating thyroid hormone levels within an appropriate range is thus a prerequisite for health. In vivo, this objective is, at least in part, facilitated through an extracellular storage depot of thyroglobulin, the glycoprotein precursor for thyroid hormones, in the thyroid follicular lumen. The molecular basis for how soluble thyroglobulin molecules form such dense depot assemblies remains elusive. Here, we describe in vitro biophysical analysis of thyroglobulin phase behaviour, suggesting that thyroglobulin is prone to undergoing ionic strength-dependent phase separation, leading to the formation of liquid-like condensates. Fluorescence photobleaching measurements further show that these condensates age as a function of time to form reversible gel-like high density storage depots of thyroglobulin. Immunofluorescence experiments on mouse and human thyroid follicles ex vivo reveal that spherical globules of Tg protein dense phase are present in the follicular lumen, consistent with the idea that Tg undergoes phase separation. These findings reveal a molecular mechanism for the last-come-first-served process of thyroglobulin storage and release, suggesting a role for extracellular phase separation in thyroid hormone homeostasis by providing organizational and architectural specificity without requiring membrane-mediated confinement.

biophysics↗

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.

biophysics↗

Differential interactions determine anisotropies at interfaces of RNA-based biomolecular condensates

Biomolecular condensates form via macromolecular phase separation, giving rise to coexisting phases delineated by interfaces. Here, we characterize the structures of interfaces formed by phase separation driven by heterotypic interactions in ternary mixtures of two types of RNA molecules and polyethylene glycol. We find that purine-rich RNAs are scaffolds that drive phase separation via strong heterotypic interactions. Conversely, pyrimidine-rich RNA molecules are defined by weaker heterotypic interactions. They function as adsorbents that accumulate at and wet the interfaces of coexisting phases formed by phase separation of scaffolds. Our computations predict that scaffolds and adsorbents have different non-random orientational preferences at interfaces. We tested these predictions using single-molecule super resolution imaging that tracks the motions of fluorogenic probes that are bound to RNA molecules. Motions parallel to the interface were found to be faster than motions perpendicular to the interface. These findings support previous predictions regarding anisotropies of motions at interfaces.

biophysics↗