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Predictions and experimental tests of a new biophysical model of the mammalian respiratory oscillator

Previously our computational modeling studies (Phillips et al., 2019) proposed that neuronal persistent sodium current (INaP) and calcium-activated non-selective cation current (ICAN) are key biophysical factors that, respectively, generate inspiratory rhythm and burst pattern in the mammalian preBotzinger complex (preBotC) respiratory oscillator. Here, we experimentally tested and confirmed three predictions of the model from new simulations concerning the roles of INaP and ICAN: (1) INaP and ICAN blockade have opposite effects on the relationship between network excitability and preBotC rhythmic activity; (2) INaP is essential for preBotC rhythmogenesis; (3) ICAN is essential for generating the amplitude of rhythmic output but not rhythm generation. These predictions were confirmed via optogenetic manipulations of preBotC network excitability during graded INaP or ICAN blockade by pharmacological manipulations in neonatal mouse slices in vitro. Our results support and advance the hypothesis that INaP and ICAN mechanistically underlie rhythm and inspiratory burst pattern generation, respectively, in the isolated preBotC.

neuroscience↗

Successive bleaching events (2019-2020) in Northeast Peninsular Malaysia revealed selective thermal acclimatization and susceptibility of hard corals at biophysical reef scale

Due to current greenhouse gas emissions, Malaysian coral reefs are predicted to experience severe annual coral bleaching events by 2043, threatening the survival of coral reefs within this century. However, there is no field data on how Malaysian coral reefs respond to successive events of coral bleaching. Despite the notion that many scleractinian taxa exhibit increased thermal tolerance over the last decade, it remains unresolved whether these changes are a result of weeding out thermally susceptible species and actually ameliorate accelerating warming rates and increasing frequencies of heat disturbances. Moreover, complex interaction of environmental and biological factors that underlie differences in the bleaching response necessitate conducting studies at the within-reef scale (i.e., leeward shallow, windward shallow). Here, we studied two successive thermal stress events starting during the 2019 El Nino Southern Oscillation (ENSO), and determined bleaching trajectories of 29 hard coral taxa across fine spatio-temporal gradients in Northeast Peninsular Malaysia. Analysis of climate trajectories affirms accelerating warming rates (0.17{degrees}C per decade) and higher return-frequency of heat disturbance. Despite high annual maximum temperatures above the putative bleaching threshold (31.07{degrees}C and 31.74{degrees}C, respectively), accumulated thermal stress was low during both bleaching episodes (Degree Heating Weeks of 1.05{degrees}C-weeks and 0.18{degrees}C-weeks, respectively), suggesting widespread thermal sensitivity of hard coral taxa (55.21% and 26.63% bleaching incidence in 2019 and 2020, respectively). However, significant discrepancies between satellite and in-situ temperature data were found (0.63{degrees}C; SD{+/-}0.26). Bleaching severity was highly taxon-specific, varied across and within reef scales due to wind exposure and depth (e.g., less bleaching at shallow windward sites), and partially contrasted historical bleaching observations (e.g., Acropora and Montipora were less susceptible, Cyphastrea, Echinopora, Goniastrea, Heliopora and Porites were highly susceptible). While bleaching severity was higher in 2019, Galaxea and Leptastrea were bleaching more in 2020 despite lower heat stress, suggesting negative legacy effects of the 2019 bleaching event on these taxa. In conclusion, hard corals were subjected to more frequent heat stress during the last decade and remain highly vulnerable to marine heatwaves across all biophysical reef scales. Annual coral bleaching impacted all hard coral taxa and reduced thermal tolerance in at least two taxa.

ecology↗

Biophysical Characterisation of Human LincRNA-p21 Sense and Antisense Alu Inverted Repeats

Human Long Intergenic Noncoding RNA-p21 (LincRNA-p21) is a regulatory noncoding RNA that plays an important role in promoting apoptosis. LincRNA-p21 is also critical in down-regulating many p53 target genes through its interaction with a p53 repressive complex. The interaction between LincRNA-p21 and the repressive complex is likely dependent on the RNA tertiary structure. Previous studies have determined the two-dimensional secondary structures of the sense and antisense human LincRNA-p21 AluSx1 IRs using SHAPE. However, there were no insights into its three-dimensional structure. Therefore, we in vitro transcribed the sense and antisense regions of LincRNA-p21 AluSx1 Inverted Repeats (IRs) and performed analytical ultracentrifugation, size exclusion chromatography, light scattering, and small angle X-ray scattering (SAXS) studies. Based on these studies, we determined low-resolution, three-dimensional structures of sense and antisense LincRNA-p21. By adapting previously known two-dimensional information, we calculated their sense and antisense high-resolution models and determined that they agree with the low-resolution structures determined using SAXS. Thus, our integrated approach provides insights into the structure of LincRNA-p21 Alu IRs. Our study also offers a viable pipeline for combining the secondary structure information with biophysical and computational studies to obtain high-resolution atomistic models for long noncoding RNAs.

biochemistry↗

Structural and biophysical characterization of HNF-1A as a tool to study MODY3 diabetes variants

Hepatocyte nuclear factor 1A (HNF-1A) is a transcription factor expressed in several embryonic and adult tissues, modulating expression of numerous target genes. Pathogenic variants in the HNF1A gene cause maturity-onset diabetes of the young 3 (MODY3 or HNF1A MODY), characterized by dominant inheritance, age of onset before 25-35 years of age, and pancreatic {beta}-cell dysfunction. A precise diagnosis alters management as insulin can be exchanged with sulfonylurea tablets and genetic counselling differs from polygenic forms of diabetes. More knowledge on mechanisms of HNF-1A function and the level of pathogenicity of the numerous HNF1A variants identified by exome sequencing is required for precise diagnostics. Here, we have structurally and biophysically characterized an HNF-1A protein containing both the DNA binding domain and the dimerization domain. We also present a novel approach to characterize HNF-1A variants. The folding and DNA binding capacity of two established MODY3 HNF-1A variant proteins (P112L, R263C) and one variant of unknown significance (N266S) were determined. All three variants showed reduced functionality compared to the wild-type protein. While the R263C and N266S variants displayed reduced binding to an HNF-1A target promoter, the P112L variant was unstable in vitro and in cells. Our results support and mechanistically explain disease causality for all investigated variants and allow for the dissection of structurally unstable and DNA binding defective variants. This points towards structural and biochemical investigation of HNF-1A being a valuable aid in reliable variant classification needed for precision diagnostics and management.

biochemistry↗

Optimal control methods for nonlinear parameter estimation in biophysical neuron models

Functional forms of biophysically-realistic neuron models are constrained by neurobiological and anatomical considerations, such as cell morphologies and the presence of known ion channels. Despite these constraints, neurons models still contain unknown static parameters which must be inferred from experiment. This inference task is most readily cast into the framework of state-space models, which systematically takes into account partial observability and measurement noise. Inferring only dynamical state variables such as membrane voltages is a well-studied problem, and has been approached with a wide range of techniques beginning with the well-known Kalman filter. Inferring both states and fixed parameters, on the other hand, is less straightforward. Here, we develop a method for joint parameter and state inference that combines traditional state space modeling with chaotic synchronization and optimal control. Our methods are tailored particularly to situations with considerable measurement noise, sparse observability, very nonlinear or chaotic dynamics, and highly uninformed priors. We illustrate our approach both in a canonical chaotic model and in a phenomenological neuron model, showing that many unknown parameters can be uncovered reliably and accurately from short and noisy observed time traces. Our method holds promise for estimation in larger-scale systems, given ongoing improvements in calcium reporters and genetically-encoded voltage indicators.

neuroscience↗

Large-scale biophysically detailed model of somatosensory thalamocortical circuits in NetPyNE

The primary somatosensory cortex (S1) of mammals is critically important in the perception of touch and related sensorimotor behaviors. In 2015, the Blue Brain Project developed a groundbreaking rat S1 microcircuit simulation with over 31,000 neurons with 207 morpho-electrical neuron types, and 37 million synapses, incorporating anatomical and physiological information from a wide range of experimental studies. We have implemented this highly-detailed and complex S1 model in NetPyNE, using the data available in the Neocortical Microcircuit Collaboration Portal. NetPyNE provides a Python high-level interface to NEURON and allows defining complicated multiscale models using an intuitive declarative standardized language. It also facilitates running parallel simulations, automates the optimization and exploration of parameters using supercomputers, and provides a wide range of built-in analysis functions. This will make the S1 model more accessible and simpler to scale, modify and extend in order to explore research questions or interconnect to other existing models. Despite some implementation differences, the NetPyNE model preserved the original cell morphologies, electrophysiological responses and spatial distribution for all 207 cell types; and the connectivity properties of all 1941 pathways, including synaptic dynamics and short-term plasticity (STP). The NetPyNE S1 simulations produced reasonable physiological firing rates and activity patterns across all populations. The network generated a 1 Hz oscillation comparable to the original model in vitro-like state. By then reducing the extracellular calcium concentration, the model reproduced the original S1 in vivo-like states with asynchronous activity. These results validate the original study using a new modeling tool. Simulated local field potentials (LFPs) exhibited realistic oscillatory patterns and features, including distance- and frequency-dependent attenuation. The model was extended by adding thalamic circuits, including 6 distinct thalamic populations with intrathalamic, thalamocortical and corticothalamic connectivity derived from experimental data. The thalamic model reproduced single known cell and circuit-level dynamics, including burst and tonic firing modes and oscillatory patterns, providing a more realistic input to cortex and enabling study of thalamocortical interactions. Overall, our work provides a widely accessible, data-driven and biophysically-detailed model of the somatosensory thalamocortical circuits that can be employed as a community tool for researchers to study neural dynamics, function and disease.

neuroscience↗

Dominance vs. epistasis: the biophysical origins and plasticity of genetic interactions within and between alleles

A central challenge in genetics, evolutionary biology and biotechnology is to understand and predict how mutations combine to alter phenotypes, including molecular activities, fitness and disease. In diploid organisms, two mutations in the same gene can either combine on the same chromosome or on different chromosomes, with interactions between the mutations quantified as epistasis and dominance, respectively. However, a direct comparison of the extent, sign and stability of interactions within and between alleles is lacking. Here we show that, even in the simplest biophysical systems, interactions between mutations are frequent, context-dependent and different when variants are combined within and between alleles. Whereas protein folding alone generates epistasis, the addition of a single molecular interaction is sufficient to cause dominance. Epistasis and dominance interactions change quantitatively, qualitatively and differently as a system becomes more complicated or the conditions change. Altering the concentration of a ligand can, for example, switch an allele from dominant to recessive. Our results show that epistasis and dominance should be widely expected in even the simplest biological systems but also reinforce the view that they are plastic system properties and so a formidable challenge to predict. Accurate prediction of epistasis and dominance will require either detailed mechanistic understanding and experimental parameterization or brute-force measurement and learning.

genetics↗

Structural and biophysical properties of FopA, a major outer membrane protein of Francisella tularensis

Francisella tularensis is an extremely infectious pathogen and a category A bioterrorism agent. It causes the highly contagious zoonosis, Tularemia. Currently, FDA approved vaccines against tularemia are unavailable. F. tularensis outer membrane protein A (FopA) is a well-studied virulence determinant and protective antigen against tularemia. It is a major outer membrane protein (Omp) of F. tularensis. However, FopA-based therapeutic intervention is hindered due to lack of complete structural information for membrane localized mature FopA. In our study, we established recombinant expression, monodisperse purification, crystallization and X-ray diffraction ([~]6.5 [A]) of membrane localized mature FopA. Further, we performed bioinformatics and biophysical experiments to unveil its structural organization in the outer membrane. FopA consists of 393 amino acids and has less than 40% sequence identity to known bacterial Omps. Using comprehensive sequence alignments and structure predictions together with existing partial structural information, we propose a two-domain organization for FopA. Circular dichroism spectroscopy and heat modifiability assay confirmed FopA has a {beta}-barrel domain consistent with alphafold2s prediction of an eight stranded {beta}-barrel at the N-terminus. Small angle X-ray scattering (SAXS) and native-polyacrylamide gel electrophoresis revealed FopA purified in detergent micelles is predominantly dimeric. Molecular density derived from SAXS at 31 [A] shows putative dimeric N-terminal {beta}-barrels surrounded by detergent corona and connected to C-terminal domains via flexible linker. Disorder analysis predicts N- and C-terminal domains are interspersed by a long intrinsically disordered region and alphafold2 predicts this region to be largely unstructured. Taken together, we propose a dimeric, two-domain organization of FopA in the outer membrane: the N-terminal {beta}-barrel is membrane embedded, provides dimerization interface and tethers to membrane extrinsic C-terminal domain via long flexible linker. Structure determination of membrane localized mature FopA is essential to understand its role in pathogenesis and develop anti-tularemia therapeutics. Our results pave the way towards it.

biochemistry↗

Huddling nest use are the optimal strategies for heat conservation in a social marsupial: lessons from biophysical models.

Endothermy, understood as the maintenance of continuous and high body temperatures (TB) due to the combination of metabolic heat production and an insulative cover, is severely challenged in small endotherms of cold environments. As a response, social clustering, and nest use (collectively, "communal nesting") are common strategies for heat conservation in small mammals and birds. To quantify the actual amount of energy that is saved by communal nesting, we studied the social marsupial Dromiciops gliroides (monito del monte), a relict marsupial species from the cold forests of southern South America. It is hypothesized that sociability in this marsupial was driven by the cold, for which we calculated the energetic benefits that communal nesting confers. Using biophysical models and experimental coolings, we simulated heat exchanges experienced by grouped or solitary individuals, and also individuals within nests, collected from the field. Assuming a model of passive cooling, we calculated the net energy cost of euthermic maintenance (Ecost: the total energy needed to maintain euthermia). We adjusted 50 cooling curves, to exponential decay models, and found in all cases that the strategy minimizing heat loss is to be clustered within a nest, for which the Ecost was the minimum. This was significantly lower than the clustered condition, outside the nest, a reduction that represents almost half of energy consumption per day in a resting, thermoneutral condition for this marsupial. Overall, our results suggest that the strategy that significantly maximized heat conservation, compared with alternative strategies, was communal nesting. These findings support the idea that, in this social mammal, sociality is driven by bioenergetic benefits.

physiology↗

Systematic analysis of the molecular and biophysical properties of key DNA damage response factors

Repair of DNA double strand breaks (DSBs) is integral to preserving genomic integrity. Therefore, defining the mechanisms underlying DSB repair will enhance our understanding of how defects in these pathways contribute to human disease and could lead to the discovery of new approaches for therapeutic intervention. Here, we established a panel of HaloTagged DNA damage response factors in U2OS cells which enables concentration-dependent protein labeling. Genomic insertion of the HaloTag at the endogenous loci of the repair factors preserves expression levels and proteins retain proper subcellular localization, foci-forming ability, and functionally support DSB repair. We systematically analyzed total cellular protein abundance, measured recruitment kinetics to DSBs, and defined the diffusion dynamics and chromatin binding by live-cell single-molecule imaging. Our work demonstrates that the Shieldin complex, a critical factor in end joining, does not exist in a preassembled state and Shieldin components are recruited to DSBs with different kinetics. Additionally, live-cell single-molecule imaging revealed the constitutive interaction between MDC1 and chromatin mediated by the PST repeat domain of MDC1. Altogether, our studies demonstrate the utility of single-molecule imaging to provide mechanistic insights into DNA repair, which will serve as a powerful resource for characterizing the biophysical properties of DNA repair factors in living cells.

cell biology↗

The effects of background noise on a biophysical model of olfactory bulb mitral cells

The spiking activity of mitral cells (MC) in the olfactory bulb is a key attribute in olfactory sensory information processing to downstream cortical areas. A more detailed understanding of the modulation of MC spike statistics could shed light on mechanistic studies of olfactory bulb circuits, and olfactory coding. We study the spike response of a recently developed single-compartment biophysical MC model containing 7 known ionic currents and calcium dynamics subject to constant current input with background white noise. We observe rich spiking dynamics even with constant current input, including multimodal peaks in the interspike interval distribution (ISI). Although weak to moderate background noise for a fixed current input does not change the firing rate much, the spike dynamics can change dramatically, exhibiting non-monotonic spike variability not commonly observed in standard neuron models. We explain these dynamics with a phenomenological model of the ISI probability density function. Our study clarifies some of the complexities of MC spiking dynamics.

neuroscience↗

NRN-EZ: an application to streamline biophysical modeling of synaptic integration using NEURON

One of the fundamental goals in neuroscience is to determine how the brain processes information and ultimately controls the execution of complex behaviors. Over the past four decades, there has been a steady growth in our knowledge of the morphological and functional diversity of neurons, the building blocks of the brain. These cells clearly differ not only for their anatomy and ion channel distribution, but also for the type, strength, location and temporal pattern of activity of the many synaptic inputs they receive. Compartmental modeling programs like NEURON have become widely used in the neuroscience community to address a broad range of research questions, including how neurons integrate synaptic inputs and propagate information through complex neural networks. One of the main strengths of NEURON is its ability to incorporate user-defined information about the realistic morphology and biophysical properties of different cell types. Although the graphical user interface of the program can be used to run initial exploratory simulations, introducing a stochastic representation of synaptic weights, locations and activation times typically requires users to develop their own codes, a task that can be overwhelming for some beginner users. Here we describe NRN-EZ, an interactive application that allows users to specify complex patterns of synaptic input activity that can be integrated as part of NEURON simulations. Through its graphical user interface, NRN-EZ leverages the learning curve to run computational models in NEURON, for users that do not necessarily have a computer science background.

neuroscience↗

Biophysical ordering transitions underlie genome 3D re-organization during cricket spermiogenesis.

Spermiogenesis is a radical process of differentiation whereby sperm cells acquire a compact and specialized morphology to cope with the constraints of sexual reproduction while preserving their main cargo, an intact copy of the paternal genome. In animals, this often involves the replacement of most histones by sperm-specific nuclear basic proteins (SNBPs). Yet, how the SNBP-structured genome achieves compaction and accommodates shaping remain largely unknown. Here, we exploited confocal, electron and super-resolution microscopy observations, coupled with polymer modeling simulations to identify the higher-order architecture of sperm chromatin in the needle-shaped nucleus of the emerging model cricket Gryllus bimaculatus. Accompanying spermatid differentiation and shaping, the SNBP-based genome was strikingly reorganized as ~25nm-thick fibers orderly coiled along the elongated nucleus axis. This chromatin spool was further found to achieve large-scale helical twisting in the final stages of spermiogenesis, favoring its ultracompaction. Through a combination of microscopy observations and polymer simulations, we revealed that these dramatic transitions may be recapitulated by a surprisingly simple biophysical principle based on a nucleated rigidification of chromatin linked to the histone-to-SNBP transition within a confined nuclear space. Our work highlights a unique, liquid crystal-like mode of higher-order genome organization in ultracompact cricket sperm completely distinct from nucleosomal chromatin, and establishes a multidisciplinary methodological framework to explore the diversity of non-canonical modes of DNA organization. SIGNIFICANCE STATEMENTAnimal sperm cells are highly compact and atypically shaped compared to other cell types. How DNA is packaged and organized in the 3D space of sperm cell nuclei to cope with these constraints is poorly understood. In this work, we identified an original and elegant solution to this problem in crickets, whereby DNA fibers orderly spool and twist to fit into ultracompact, needle-shaped sperm cells. To understand this reorganization, we modeled DNA fibers in the nucleus as polymers and found that a relatively simple mechanism through which fibers become more rigid bit by bit can largely recapitulate our observations. Our multidisciplinary work highlights a simple solution to compact DNA to extreme levels in specialized nuclei.

cell biology↗

Biophysical Characterization of an Essential Mammalian Protein; Transcription Termination Factor I (TTF1)

Mammalian Transcription Terminator Factor 1 (TTF1) is an essential protein which plays diverse cellular physiological functions like transcription regulation (both initiation and termination), replication fork blockage, chromatin remodelling, DNA damage repair etc. Hence, understanding the structure and mechanism conferred by its variable confirmations becomes significantly important. But so far, almost nothing is known about the structure of either the full-length protein or any of its domain in isolation. Moving towards achieving the above goals, our lab has codon optimised, expressed and purified N-terminal 190 amino acid deleted TTF1 ({Delta}N190TTF1) protein, since full length protein even after multiple trials could not be purified in soluble form. In this article, we have characterized this essential protein by studying its homogeneity, molecular size and secondary structure using tools like dynamic light scattering (DLS), circular dichroism (CD) spectroscopy, Raman spectroscopy and atomic force microscopy (AFM). By CD and DLS we have shown that the purified protein is homogenous and soluble. CD spectroscopy also revealed that {Delta}N190TTF1 is a helical protein which was further confirmed by analysis of Raman spectra and Amide I region deconvolution studies. AFM imaging data discovered the size of single protein molecule to be 94 nm which is in agreement with the size determined by the DLS study as well. Our structural and biophysical characterization of this essential protein will open avenues towards solving the structure to atomic resolution and also will encourage the research to investigate the mechanism behind its diverse functions attributed to its various domains.

biochemistry↗

Ants dynamically adjust liquid foraging strategies in response to biophysical constraints

Ant foragers need to provide food to the rest of the colony, which often requires transport over long distances. Foraging for liquid is especially challenging because it is difficult to transport and share. Many social insects store liquid food inside the crop to transport it to the nest, and then regurgitate this fluid to distribute it to nestmates through a behaviour called trophallaxis. Some ants instead transport fluids with a riskier behaviour called pseudotrophallaxis - holding a drop of liquid between the mandibles through surface tension. Ants can then share this droplet with nestmates without ingestion or regurgitation. Here, we hypothesised that ants optimise their liquid-collection approach depending on viscosity. Working with a ponerine ant that uses both trophallaxis and pseudotrophallaxis, we investigated why each liquid-collection behaviour might be favoured under different conditions by measuring biophysical properties, collection time, and reaction to food quality for typical and viscosity-altered sucrose solutions. We found that ants can collect more liquid food per unit time by mandibular grabbing than by drinking. At high viscosities, which in nature correspond to high sugar concentrations, ants switched their liquid collection method to mandibular grabbing in response to viscosity, and not to sweetness. Our results demonstrate that ants change their transport and sharing methods according to viscosity - a proxy for sugar concentration in nature - increasing the mass of sugar returned to the nest per trip.

animal behavior and cognition↗

A biophysical model of viral escape from polyclonal antibodies

A challenge in studying viral immune escape is determining how mutations combine to escape polyclonal antibodies, which can potentially target multiple distinct viral epitopes. Here we introduce a biophysical model of this process that partitions the total polyclonal antibody activity by epitope, and then quantifies how each viral mutation affects the antibody activity against each epitope. We develop software that can use deep mutational scanning data to infer these properties for polyclonal antibody mixtures. We validate this software using a computationally simulated deep mutational scanning experiment, and demonstrate that it enables the prediction of escape by arbitrary combinations of mutations. The software described in this paper is available at https://jbloomlab.github.io/polyclonal.

evolutionary biology↗

The soluble N-termini of mechanosensitive ion channels MSL8, MSL9, and MSL10 are environmentally sensitive intrinsically disordered regions with distinct biophysical characteristics

Intrinsically disordered protein regions (IDRs) are highly dynamic sequences that rapidly sample a collection of conformations. In the past several decades, IDRs have emerged as a core component of many proteomes, comprising [~]30% of all eukaryotic protein sequences. IDRs are ubiquitous throughout different biological pathways, with a notable enrichment in responses to environmental stimuli such as abiotic stress. However, the diversity of IDR-based systems that biology has evolved to respond to different stimuli is expansive, warranting the exploration of IDRs present in unique molecular contexts. Here, we identify and characterize intrinsic disorder in the soluble, cytoplasmic N-terminal domains of three members of the MscS-Like (MSL) family of mechanosensitive ion channels, MSL8, MSL9 and MSL10. In plants, MSL channels are proposed to mediate the reactions to cell swelling, pathogenic invasion, and touch. A series of bioinformatic tools unanimously predicted that the cytosolic N-termini of MSLs are intrinsically disordered. We confirmed this prediction for the N-terminus of MSL10 (MSL10N) via circular dichroism spectroscopy. MSL10N adopted a predominately helical structure when exposed to the helix-inducing compound trifluoroethanol (TFE) and underwent structural changes and alterations to homotypic interaction favorability in the presence of molecular crowding agents. Lastly, in vitro imaging of condensates indicated that MSL8N, MSL9N and MSL10N have sharply differing propensities for condensate formation both inherently and in response to salt, temperature, and molecular crowding. Altogether, these data establish the N-termini of MSL channels as intrinsically disordered regions with distinct biophysical properties and the potential to respond disparately to changes in their physiochemical environment.

biochemistry↗

Molecular determinants of fibrillation in a viral amyloidogenic domain from combined biochemical and biophysical studies

The Nipah and Hendra viruses (NiV and HeV) are biosafety level 4 human pathogens classified within the Henipavirus genus of the Paramyxoviridae family. In both NiV and HeV, the gene encoding the Phosphoprotein (P protein), an essential polymerase cofactor, also encodes the V and W proteins. These three proteins, which share an intrinsically disordered N-terminal domain (NTD) and have unique C-terminal domains (CTD), are all known to counteract the host innate immune response, with V and W acting by either counteracting or inhibiting Interferon (IFN) signaling. Recently, using a combination of biophysical and structural approaches, the ability of a short region within the shared NTD (PNT3 region) to form amyloid-like structures was reported. Here, we evaluated the relevance of each of three contiguous tyrosine residues located in a previously identified amyloidogenic motif (EYYY) within HeV PNT3 to the fibrillation process. Our results indicate that removal of a single tyrosine in this motif significantly decreases the ability to form fibrils independently of position, mainly affecting the elongation phase. In addition, we show that the C-terminal half of PNT3 has an inhibitory effect on fibril formation that may act as a molecular shield and could thus be a key domain in the regulation of PNT3 fibrillation. Finally, the kinetics of fibril formation for the two PNT3 variants with highest and lowest fibrillation propensity were studied by Taylor Dispersion Analysis (TDA). The results herein presented shed light onto the molecular mechanisms involved in fibril formation. In addition, the PNT3 variants we generated represent valuable tools to further explore the functional impact of V/W fibrillation in transfected and infected cells.

biochemistry↗