Biology subjects

Knowles, T. P. J.

Publications and source records attributed to Knowles, T. P. J..

At least 19 recordsLinked to original sources

bioRxiv2026

Charge-driven remodelling of monomeric Tau determines its phase behaviour

Tau transitions from a functional microtubule-stabilising monomer into pathological aggregates in tauopathies. However, the molecular mechanism by which soluble Tau transitions into insoluble aggregates remains poorly understood. Here, we show that modulation of Tau internal charge-charge interactions by pH and ionic strength is sufficient to remodel its monomeric conformational ensemble and direct its subsequent self-assembly pathway. By subjecting the expanded random coil-like 2N4R Tau to prolonged incubation at low ionic strength and near its isoelectric point, we generated a long-lived compact molten globule-like monomer. Although both expanded and compacted conformations remain disordered, they differ markedly in their local solvent accessibility and dynamics. We show that monomer compaction is stabilised by weak interactions that remodel the solvent accessibility of the microtubule-binding repeat region and its flanking sequences. Consequently, these conformational changes alter Tau phase behaviour, inhibiting liquid-liquid phase separation and amyloid fibril formation. Our findings demonstrate that charge-driven remodelling of the Tau conformational ensemble determines its phase behaviour and provide a mechanistic insight into the molecular events underlying tauopathies.

biophysics↗

bioRxiv2026

Mechanistic Interpretability of Protein Language Models Reveals Encoded Structural and Functional Properties of Intrinsically Disordered Proteins

Protein language models (PLMs) such as ESM-2 encode protein sequences as embeddings for downstream tasks. PLMs are trained on a masked learning objective that leverages evolutionary constraints. While interpretability studies of ESM-2 have focused on folded proteins, their behavior on intrinsically disordered proteins (IDPs), which constitute a substantial fraction of the human proteome and are implicated in numerous diseases, remains understudied. Because IDPs experience different types of evolutionary constraints on their amino acid sequences, we hypothesized that PLMs would behave differently on disordered versus folded regions. Here we show that ESM-2 exhibits reduced attention on disordered regions, yet still encodes meaningful biological signals. The model assigns heightened attention to disease-relevant residues even at high levels of disorder. Moreover, we show that both the radius of gyration and individual dynamic contact maps, key characteristics of IDPs, can be obtained from the model logits and embeddings. These findings suggest PLMs capture valuable information relevant to IDP biology despite their bias toward structured residues.

bioinformatics↗

bioRxiv2026

Errors in peptide synthesis are a source of discrepancies in Aβ42 studies

Amyloid-{beta}42 (A{beta}42) aggregation is highly sensitive to experimental conditions, making reproducibility a persistent challenge in Alzheimers disease research. Among the many variables that influence aggregation, the impact of peptide production remains poorly understood. Direct comparison of recombinant and chemically synthesised A{beta}42 prepared under carefully controlled conditions reveals that, despite following similar aggregation mechanism and forming the same predominant fibril structures, synthetic A{beta}42 aggregates more slowly and exhibits reduced seeding efficiency. Consequently, synthetic A{beta}42 produces fewer oligomeric species and displays lower cellular toxicity. Mass spectrometric analyses identify low-abundance sequence imperfections introduced during peptide synthesis as the origin of these differences. By linking synthesis-derived imperfections to variations in A{beta}42 behaviour, this work reveals a previously underappreciated source of discrepancies in amyloid studies. In addition, we provide a framework for evaluating the impact of sequence impurities on biophysical studies that are sensitive to peptide composition.

biochemistry↗

bioRxiv2026

Potent substoichiometric inhibition of alpha-synuclein aggregation by de novo oligomer-binding proteins

The intrinsically disordered, non-amyloid-{beta} component domain of -synuclein (Syn) drives aggregation in Parkinson's disease but lacks a stable epitope for structure-based drug design. We used deep learning-based protein design to generate de novo binders capturing this region in a {beta}-strand conformation. Three designs bound Syn with nanomolar affinities, with solution NMR spectroscopy supporting the intended fold. All three suppressed fibril formation at substoichiometric ratios, and fitting of aggregation kinetics resolved the microscopic steps inhibited by each. Notably, one binder preferentially engaged oligomers and inhibited secondary nucleation, both closely linked to toxicity. In cells, all three suppressed seeded Syn assembly, with the oligomer binder being the most effective. Together, these findings establish a set of molecules that target distinct aggregation intermediates and mechanistically reshape Syn assembly.

biophysics↗

bioRxiv2026

Many-body Interaction Competition Drives Reentrant Phase Transitions

Reentrant phase transitions, in which multicomponent systems phase separate at intermediate concentrations but dissolve at experimentally accessible higher concentrations, are ubiquitous in mixtures such as biomolecular condensates. We show that introducing reversible dimerization into a multicomponent Flory-Huggins model and integrating out the dimer state generate an effective three-body repulsion that reshapes phase diagram geometry. This emergent higher-order interaction arises naturally from an interaction competition and mass-action equilibrium, providing a microscopic explanation to the previously phenomenological three-body interaction. We derive a closed-form phase boundary equation capturing phase separation and reentrant dissolution in this minimal model, and predict explicit interdependence between competition strength, emergent many-body interactions, and dissociation constants. We recover and extend the reentrant phase boundary scaling relations through interaction renormalization, with regime of validity. We apply our model to G3BP1-RNA-suramin and explain the underlying mechanisms from the physical parameters inferred from reentrant phase boundaries.

biophysics↗

bioRxiv2026

Nuclear Pct1 couples phosphatidylcholine synthesis with membrane biogenesis

Phosphatidylcholine (PC) is the major eukaryotic phospholipid and its synthesis must be homeostatically controlled to prevent excess membrane and organelle growth. Here we investigate how PC synthesis by the Kennedy pathway is coordinated with membrane biogenesis. In budding yeast, the rate-limiting enzyme Pct1 is nuclear and reversibly associates with the inner nuclear membrane (INM) in response to lipid packing defects caused by low PC. We show that the enzymes acting after Pct1 to generate PC remain at the endoplasmic reticulum (ER) during pathway activation. Relocating the final PC synthesis step to different endomembrane sites does not alter the kinetics of Pct1 release from the INM, indicating that newly made PC equilibrates with the INM rapidly. In contrast, elevated phosphatidic acid locks Pct1 at the INM, prevents pathway inactivation and drives nuclear/ER membrane proliferation. These results support a model in which nuclear Pct1 senses lipid imbalance while ER-localized enzymes supply PC; disrupting this homeostasis leads to uncontrolled membrane biogenesis.

cell biology↗

bioRxiv2026

Lipoengineering of Biomolecular Condensates Controls Material Properties and Multiphase Hierarchy to Guide Organoid Morphogenesis

Cells use post-translational modifications (PTMs) to reconfigure biomolecular condensates across length scales, space, and time.1,2 While charged PTMs are well-known electrostatic switches,3,4 how ubiquitous neutral PTMs shape condensate plasticity and hierarchy remains unclear. Here, we establish a set of design principles for using site-specific lipidation, a class of neutral hydrophobic PTMs, to rationally control properties and interactions of engineered biomolecular condensates. Through systematic analysis of over 80 lipidated synthetic intrinsically disordered proteins (IDPs), we uncovered two distinct axes of control. First, the interplay between the lipid and the local three-residue sequence of its attachment site acts as a programmable switch for cohesion--the homotypic interactions that define the material state of the condensed phase-- directing assemblies toward dynamic liquids, arrested gels, or ordered fibrillar solids. Second, the lipid, together with the global properties of the IDP scaffold, tunes adhesion--the heterotypic interactions that govern condensate miscibility and hierarchical organization. We harnessed these principles to rationally engineer complex, multi-phase architectures and create hybrid hydrogels with programmed microstructure and material properties that guide the morphogenesis of functional intestinal organoids. These findings establish a new framework for lipoengineering advanced biomaterials and provide a blueprint for dissecting structure-property relationships across diverse classes of PTMs.

bioengineering↗

bioRxiv2026

Reversible peptide self-assembly enables sustained drug delivery with tuneable pharmacokinetics

Therapeutic peptides combine high target specificity with potent biological activity.1 However, treatment success is often limited by rapid clearance and the need for frequent injections.2, 3 This challenge is particularly acute for therapeutic peptides used in obesity, where clinical benefit must be balanced against dose-dependent adverse effects. In nature, these constraints are overcome by storing hormones as reversible fibrils,4 but pharmacokinetic control is essential for widespread adoption of bio-inspired self-assembled depots for therapeutic peptides. Here, we show that tuneable pharmacokinetics can be achieved and modelled by mapping the fundamental chemical parameters of reversibly self-assembly in vitro. We demonstrate this approach for the amylin analogue pramlintide. Amylin analogues are under development for the next generation of diabetes and obesity treatments, with improved mechanism of action e.g. preserving lean body mass.5-8 Pramlintide is an approved drug with a well-established safety profile, however, it has a comparable half-life to native amylin.8-12 In a pilot study, we achieve in vitro-in vivo correlation, increasing the half-life of pramlintide 20-82-fold in rats, while controlling burst release. These findings demonstrate that the optimisation of pharmacokinetics can be decoupled from peptide engineering, establishing a generalisable framework for generating long-acting peptide formulations by emulating native storage mechanisms.

biophysics↗

bioRxiv2025

Neurodegeneration emerges at a cellular tipping point between protein accumulation and removal.

Protein aggregates are a pathological hallmark across neurodegenerative diseases. Yet, the disconnect between molecular-level aggregation and the emergence of disease severely limits mechanistic understanding of neurodegeneration. Here, we bridge this disconnect by showing that a cellular tipping point emerges as a universal feature across diseases from the competition between aggregate accumulation and removal. We map the resulting cellular phase transition with our high-throughput live-cell assay, measuring the tipping point that separates healthy cells from those with large aggregate loads. Using super-resolution imaging of brain tissue from Alzheimers and Parkinsons disease, we quantify how the balance of accumulation and removal is shifted in disease. We validate our framework by predicting how designed aggregation inhibitors shift the tipping point to restore cellular homeostasis. Our results provide a mechanistic framework connecting molecular-level aggregation to disease, paving the way for a quantitative, unified understanding of neurodegeneration and enabling predictions of therapeutic efficacy.

neuroscience↗

bioRxiv2025

Decoupling liquid-liquid phase separation and opalescence from stress-induced aggregation in therapeutic mAb formulations

Liquid-liquid phase separation (LLPS) and high opalescence are two self-association phenomena commonly encountered in monoclonal antibody (mAb) formulations. Because of their impact on colloidal stability, they are commonly avoided, due to a suspected link with aggregation and reduced product shelf-life. However, the molecular underpinnings and interrelation between these phenomena remain unclear, complicating predictions of their occurrence. By combining light and X-ray scattering techniques with microscopy and advanced microfluidic setups, we here report the delicate phase behavior of a model mAb, named mAb1. This is characterized by rapid clustering and LLPS in a narrow NaCl range, above which it transitions into an opalescent state devoid of micron-sized assemblies, yet retaining a similar interaction fingerprint. Using Monte Carlo simulations, we report that the macroscopic solution state of mAb1 is controlled by a positive patch, whose degree of charge screening determines whether LLPS or opalescence will take place. Specifically, neutralization of this patch via counterion interactions diminishes intermolecular repulsion and favors the concerted action of weaker dipole-dipole/hydrophobic interactions, amounting to the creation of a new solution phase, via LLPS. Further NaCl addition distributes ions more uniformly across the surface, attenuating these attractive interactions, leading to the dismantling of droplets while preserving solution opalescence. Finally, we show that LLPS and opalescence are decoupled from stirring-induced aggregation, challenging an unequivocal relationship between these phenomena. Significance StatementTailoring formulations to maximize the stability of therapeutic antibodies is crucial for their development. This is complicated by their tendency for self-association at high concentrations, where increased opalescence and phase separation, that are thought to precede irreversible aggregation, are routinely observed. Here, we studied the molecular underpinnings of mAb opalescence versus liquid-liquid phase separation. We report the mechanisms determining the two phenomena and provide a foundation for their prediction, which may guide the rational development of mAb formulations. We further show that LLPS and opalescence can be decoupled from stress-induced aggregation. We hypothesize that excluding mAbs from the bulk solvent via LLPS may even be harnessed to enhance drug product stability.

biophysics↗

bioRxiv2025

Using a stable protein scaffold to display peptides that bind to alpha-synuclein fibrils

Amyloid fibrils are ordered aggregates that are a pathological hallmark of many neurodegenerative disorders including Alzheimers Disease and Parkinsons Disease. The process of amyloid formation involves a complex cascade by which soluble monomeric protein converts to insoluble, ordered aggregates (amyloid fibrils). Although inhibiting the aggregation pathway is a key target for therapeutic development, the heterogeneous collection of aggregation-prone species formed in this process, including oligomers, protofibrils and fibrils, represent other targets for modifying disease pathology. Developing molecules that can bind to amyloid fibrils and potentially disrupt the harmful interactions between the fibrils and the cellular components would be advantageous. Designing peptide modulators for -synuclein aggregation is of great interest, however effective inhibitory peptides are often hydrophobic and hence difficult to handle; therefore, developing strategies to display these peptides in a soluble scaffold would be very beneficial. Here we demonstrate that the ultra-stable consensus-designed tetratricopeptide repeat (CTPR) protein scaffold can be grafted with "KLVFF" derived peptides previously identified to inhibit protein aggregation and interact with amyloid fibrils, to produce proteins that bind along the surface of -synuclein fibrils with micromolar affinity. Given the ability to insert hydrophobic peptides to produce soluble, CTPR-based binders, this method may prove beneficial in screening for peptide modulators of protein aggregation. Short statementConsensus-designed tetratricopeptide repeat (CTPR) proteins can be endowed with additional functionality including specific client recruitment. Here we created stable, soluble CTPR-based binders that recognise -synuclein fibrils with micromolar affinity. The CTPR scaffold provides a facile way to test potential fibril-binding or aggregation-modulating peptides and to probe their mechanisms of action.

biochemistry↗

bioRxiv2024

Global kinetic model of lipid-induced alpha-synuclein aggregation and its inhibition by small molecules

The aggregation of -synuclein into amyloid fibrils is a hallmark of Parkinsons disease. This process has been shown to directly involve interactions between proteins and lipid surfaces when the latter are present. Despite this importance, the molecular mechanisms of lipid-induced amyloid aggregation have remained largely elusive. Here, we present a global kinetic model to describe lipid-induced amyloid aggregation of -synuclein. Using this framework we find that -synuclein fibrils form via a two-step primary nucleation mechanism and that lipid molecules are directly involved in both the nucleation and fibril elongation steps, giving rise to lipid-protein coaggregates. To illustrate the applicability of this kinetic approach to drug discovery, we identify the mechanism of action of squalamine, a known inhibitor of -synuclein aggregation, finding that this small molecule reduces the rate of lipid-dependent primary nucleation. Our work will likely guide the rational design of -synuclein aggregation inhibitors. Significance StatementAmyloid aggregation is a hallmark of a diverse range of diseases including Parkinsons Disease, where the protein -synuclein is a major con-stituent of proteinaceous deposits found in patients. It is well established that interactions between -synuclein and lipids modulate aggregation. However, the molecular mechanisms driving this lipid-induced aggregation have remained largely elusive, which has frustrated so far the discovery of drugs that prevent lipid-induced aggregation. In this work, we present the first global kinetic model describing lipid-induced aggregation and by integrating this theoretical framework with in vitro experimental data of lipid-induced -synuclein aggregation, we reveal the role of lipid membranes in the aggregation process and uncover the mechanism by which small molecule inhibitors interfere with this process.

biophysics↗

bioRxiv2024

Biomolecular condensates sustain pH gradients at equilibrium driven by charge neutralisation

Electrochemical gradients are essential to the functioning of cells and form across membranes using active transporters. Here, we show in contrast that condensed biomolecular systems sustain significant pH gradients without any external energy input. By studying individual condensates on the micron scale using a microdroplet platform, we reveal dense phase pH shifts towards conditions of minimal electrostatic repulsion. We demonstrate that by doing so protein condensates can drive substantial alkaline and acidic gradients which are compositionally tuneable and can extend to complex architectures sustaining multiple unique pH conditions simultaneously. Through in silico characterisation of human proteomic condensate networks, we further highlight potential wide ranging electrochemical properties emerging from condensation in nature, while correlating intracellular condensate pH gradients with complex biomolecular composition. Together, the emergent nature of condensation shapes distinct pH microenvironments, thereby creating a unique regulatory mechanism to modulate biochemical activity in living systems.

biophysics↗

bioRxiv2024

Tandem-repeat proteins introduce tuneable properties to engineered biomolecular condensates

The cells ability to rapidly partition biomolecules into biomolecular condensates is linked to a diverse range of cellular functions. Understanding how the structural attributes of biomolecular condensates are linked with their biological roles can be facilitated by the development synthetic condensate systems that can be manipulated in a controllable and predictable way. Here, we design and characterise a tuneable synthetic biomolecular condensate platform fusing modular consensus-designed tetratricopeptide repeat (CTPR) proteins to intrinsically-disordered domains. Trends between the CTPR structural attributes and condensate propensity were recapitulated across different experimental conditions and by in silico modelling, demonstrating that the CTPR domain can systematically affect the condensates in a predictable manner. Moreover, we show that incorporating short binding motifs into the CTPR domain results in specific target-protein recruitment into the condensates. Our model system can be rationally designed in a versatile manner to both tune condensate propensity and endow the condensates with new functions.

biophysics↗

bioRxiv2024

Temperature-induced changes in protein interactions control RNA recruitment to G3BP1 condensates

Biomolecular condensates have emerged as prominent regulators of dynamic subcellular organisation and essential biological processes. Temperature, in particular, exerts a significant influence on the formation and behaviour of biomolecular condensation. For example, during cellular heat stress, stress granules (SGs) are formed from RNA-binding proteins (RBPs) and RNA, forming liquid condensates to protect the RNA from damage. However, the molecular mechanisms leading to changes in protein phase behaviour are not well understood. To answer how temperature modulates protein interactions and phase behaviour, we developed a high-throughput microfluidic platform, capable of mapping the phase space and quantifying protein interactions in a temperature-dependent manner. Specifically, our approach measures high-resolution protein phase diagrams as a function of temperature, while accurately quantifying changes in the binodal, condensate stoichiometry and free energy contribution of a solute, hence, providing information about the underlying mechanistic driving forces. We employ this approach to investigate the effect of temperature changes on the phase separation of the stress granule scaffold protein Ras GTPase-activating protein-binding protein 1 (G3BP1) with PolyA-RNA. Surprisingly, we find that the G3BP1/RNA phase boundary remains unaffected by the increasing temperature but the underlying stoichiometry and energetics shift, which can only be revealed with high-resolution phase diagrams. This indicates that temperature-induced dissolution is counteracted by entropic processes driving phase separation. With increasing temperature, the G3BP1 content in condensates decreases alongside with a reduction of the free energy of protein interactions, while the RNA content increases driven by entropically favoured hydrophobic interactions. In the context of cellular heat SG formation, these findings could indicate that during heat shock, elevated temperatures directly induce RNA recruitment to stress granules as a cytoprotective mechanism by finetuning the strength of protein and RNA interactions.

biophysics↗

bioRxiv2023

Nanoscale profiling of evolving intermolecular interactions in ageing FUS condensates

In addition to the native state, proteins can form liquid-like condensates, viscoelastic condensates, such as gels, as well as solid-like condensates, such as amyloid fibrils, crystals and amorphous materials. The material properties of these condensates play important roles in their cellular functions, with aberrant liquid-to-solid phase transitions having been implicated in neurodegenerative diseases. However, the molecular changes and resultant material properties across the whole phase space of condensates are complex and yet to be fully understood. The extreme sensitivity to their environment, which enables their biological function, is also what makes protein condensates particularly challenging experimental targets. Here, we provide a characterisation of the ageing behaviour of the full-length fused in sarcoma (FUS) protein. We achieve this goal by using a microfluidic sample deposition technology to enable the application of surface-based techniques to the study of biological condensates. We first demonstrate that we maintain relevant structural features of condensates in physiologically-relevant conditions on surfaces. Then, using a combination of atomic force microscopy and vibrational spectroscopy, we characterise the spatio-temporal changes in the structure and mechanical properties of the condensates to reveal local phase transitions in individual condensates. We observe that initially dynamic, fluid-like condensates undergo a global increase in elastic response conferred by an increase in the density of cation-{pi} intermolecular interactions. Solid-like structures form first at condensate-solvent interfaces, before heterogeneously propagating throughout the aged fluid core. These solid structures are composed of heterogenous, non-amyloid {beta}-sheets, which are stabilised by hydrogen-bonding interactions not observed in the fluid state. Overall, this study identifies the molecular conformations associated with different physical states of FUS condensates, establishing a technology platform to understand the role of phase behaviour in condensate function and dysfunction.

biophysics↗

bioRxiv2023

Microfluidic antibody profiling after repeated SARS-CoV-2 vaccination links antibody affinity and concentration to impaired immunity and variant escape in patients on anti-CD-20 therapy

BackgroundPatients with autoimmune/inflammatory conditions on anti-CD20 therapies, such as Rituximab, have suboptimal humoral responses to vaccination and are vulnerable to poorer clinical outcomes following SARS-CoV-2 infection. We aimed to examine how the fundamental parameters of antibody responses, namely affinity and concentration, shape the quality of humoral immunity after vaccination in these patients. MethodsWe performed in depth antibody characterisation in sera collected four to six weeks after each of three vaccine doses to wild-type (WT) SARS-CoV-2 in Rituximab-treated primary vasculitis patients (n=14) using Luminex and pseudovirus neutralisation assays, whereas a novel microfluidic-based immunoassay was used to quantify polyclonal antibody affinity and concentration against both WT and Omicron (B.1.1.529) variants. Comparative antibody profiling was performed at equivalent time points in healthy individuals after three antigenic exposures to WT SARS-CoV-2 (one infection and two vaccinations; n=15) and in convalescent patients after WT SARS-CoV-2 infection (n=30). ResultsRituximab-treated patients had lower antibody levels and neutralisation titres against both WT and Omicron SARS-CoV-2 variants compared to healthy individuals. Neutralisation capacity was weaker against Omicron versus WT both in Rituximab-treated patients and in healthy individuals. In the Rituximab cohort, this was driven by lower antibody affinity against Omicron versus WT (median [range] KD: 21.6 [9.7-38.8] nM vs 4.6 [2.3-44.8] nM, p=0.0004). By contrast, healthy individuals with hybrid immunity produced a broader antibody response, a subset of which recognised Omicron with higher affinity than antibodies in Rituximab-treated patients (median [range] KD: 1.05 [0.45-1.84] nM vs 20.25 [13.2-38.8] nM, p=0.0002), underpinning the stronger serum neutralisation capacity against Omicron in the former group. Rituximab-treated patients had similar anti-WT antibody levels and neutralisation titres to unvaccinated convalescent individuals, despite two more exposures to SARS-CoV-2 antigen. Temporal profiling of the antibody response showed evidence of affinity maturation in healthy convalescent patients after a single SARS-CoV-2 infection which was not observed in Rituximab-treated patients, despite repeated vaccination. DiscussionOur results enrich previous observations of impaired humoral immune responses to SARS-CoV-2 in Rituximab-treated patients and highlight the significance of quantitative assessment of serum antibody affinity and concentration in monitoring anti-viral immunity, viral escape, and the evolution of the humoral response.

immunology↗

bioRxiv2023

Thermodynamic profiles for co-translational trigger factor function

Molecular chaperones are central to the maintenance of proteostasis in living cells. A key member of this protein family is trigger factor (TF), which acts throughout the protein lifecycle and has a ubiquitous role as the first chaperone encountered by proteins during synthesis. However, our understanding of how TF achieves favourable interactions with such a diverse substrate base remains limited. Here, we use microfluidics to reveal the thermodynamic determinants of this process. We find that TF binding to empty 70S ribosomes is enthalpydriven, with micromolar affinity, while nanomolar affinity is achieved through a favourable entropic contribution for both intrinsically disordered and folding competent nascent chains. These findings suggest a general mechanism for co-translational TF function, which relies on occupation of the exposed TF substrate-binding groove, rather than specific complementarity between chaperone and RNC. These insights add to our wider understanding of how proteins can achieve broad substrate specificity.

biophysics↗