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bioRxiv2020

Structure and immune recognition of the porcine epidemic diarrhea virus spike protein

Porcine epidemic diarrhea virus is an alphacoronavirus responsible for significant morbidity and mortality in pigs. A key determinant of viral tropism and entry, the PEDV spike protein is a key target for the host antibody response and a good candidate for a protein-based vaccine immunogen. We used electron microscopy to evaluate the PEDV spike structure, as well as pig polyclonal antibody responses to viral infection. The structure of the PEDV spike reveals a configuration similar to that of HuCoV-NL63. Several PEDV protein-protein interfaces are mediated by non-protein components including a glycan at Asn264 and two bound palmitoleic acid molecules. The polyclonal antibody response to PEDV infection shows a dominance of epitopes in the S1 region. This structural and immune characterization provides new insights into coronavirus spike stability determinants and explores the immune landscape of viral spike proteins.

biophysics↗

bioRxiv2020

Bent DNA bows as amplifiers and biosensors for detecting DNA-interacting salts and molecules

Due to the central role of DNA, its interactions with inorganic salts and small organic molecules are important for understanding various fundamental cellular processes in living systems, deciphering the mechanism of many diseases related to DNA damages, and discovering or designing inhibitors and drugs targeting DNA. However, there is still a need for improved sensitivity to detect these interactions, especially in situations where expensive sophisticated equipment is not available. Here we report our development and demonstration of bent DNA bows for amplifying, sensing, and detecting the interactions of 14 inorganic salts and small organic molecules with DNA. With the bent DNA bows, these interactions were easily visualized and quantified in gel electrophoresis, which were difficult to measure without bending. In addition, the strength of the interactions of DNA with the various salts/molecules were quantified using the modified Hill equation. This work highlights the amplification effects of the bending elastic energy stored in the DNA bows and the potential use of the DNA bows for quantitatively measuring DNA interactions with small molecules as simple economic methods; it may also pave the way for exploiting the bent DNA bows for other applications such as monitoring water quality and screening DNA-targeting molecules and drugs.

biophysics↗

bioRxiv2020

Antimicrobial silver inhibits bacterial movement and stalls flagellar motor

Silver (Ag) has been gaining broad attention due to their antimicrobial activities and the increasing resistance of bacteria to commonly prescribed antibiotics. However, various aspects of the antimicrobial mechanism of Ag have not been understood, including how silver affects the motility of bacteria, a factor that is intimately related to bacterial virulence. Here we report our study on the antibiotic effects of Ag+ ions on the motility of E. coli bacteria using swimming and tethering assays. We observed that the bacteria slowed down dramatically when subjected to Ag+ ions, providing direct evidence showing that Ag inhibits the motility of bacteria. In addition, through tethering assays, we monitored the rotation of flagellar motors and observed that the tumbling frequency of bacteria increased significantly in the presence of Ag+ ions. Furthermore, the rotation of bacteria in the tethering assays were analyzed using hidden Markov model (HMM); and we found that Ag+-treatment led to a significant decrease in the tumbling-to-running transition rate of the bacteria, suggesting that the rotation of bacterial flagellar motors was stalled by Ag+ ions. This work provided a new quantitative understanding on the mechanism of Ag-based antimicrobial agents in bacterial motility.

biophysics↗

bioRxiv2020

Crystal structure of the 2019-nCoV spike receptor-binding domain bound with the ACE2 receptor

A novel and highly pathogenic coronavirus (2019-nCoV) has caused an outbreak in Wuhan city, Hubei province of China since December 2019, and soon spread nationwide and spilled over to other countries around the world. To better understand the initial step of infection at atomic-level, we determined the crystal structure of the 2019-nCoV spike receptor-binding domain (RBD) bound with the cell receptor ACE2 at 2.45 [A] resolution. The overall ACE2-binding mode of the 2019-nCoV RBD is nearly identical to that of the SARS-CoV RBD, which also utilizes ACE2 as the cell receptor. Structural analysis identified residues in 2019-nCoV RBD critical for ACE2 binding, and majority of which are either highly conserved or shared similar side chain properties with those in the SARS-CoV RBD. Such similarity in structure and sequence strongly argue for a convergent evolution between 2019-nCoV and SARS-CoV RBD for improved binding to ACE2 despite of being segregated in different genetic lineages in the betacoronavirus genus. The epitopes of two SARS-CoV antibodies targeting the RBD are also analyzed with the 2019-nCoV RBD, providing insights into future identification of cross-reactive antibodies.

biophysics↗

bioRxiv2020

Independent and sensitive gait parameters for objective evaluation in knee and hip osteoarthritis using wearable sensors

ObjectiveTo identify non-redundant gait parameters sensitive to end-stage knee and hip osteoarthritis (OA), with a specific focus on turning, dual task performance, and upper body motion in addition to straight-ahead gait. DesignGait was compared between individuals with unilateral, end-stage knee (n=25) or hip OA (n=26) scheduled for joint replacement, and healthy controls (n=27). For 2 minutes, subjects walked back-and-forth along a 6 meter trajectory making 180{degrees} turns, with and without a secondary cognitive task. Gait parameters were collected using 4 inertial measurement units on the feet and trunk. The dataset was reduced using factor analysis. One gait parameter from each factor was selected based on factor loading and effect size of the comparison between OA groups and healthy controls. ResultsFour independent domains of gait were obtained: speed-spatial, speed-temporal, dual task cost, and upper body motion. Turning parameters did not constitute a separate domain. From these domains, stride length (speed-spatial) and cadence (speed-temporal) had the strongest factor loadings and effect sizes for both knee and hip OA, and lumbar sagittal range of motion (upper body motion) for hip OA only. ConclusionsStride length, cadence, and lumbar sagittal range of motion were non-redundant and sensitive parameters, representing gait adaptations in individuals with knee or hip OA. Turning or dual task parameters had no additional value for evaluating gait in knee and hip OA. These findings hold promise for the objective evaluation of gait in the clinic. Future steps should include testing of responsiveness to interventions aiming to improve mobility.

biophysics↗

bioRxiv2020

Phe-Gly Motifs Drive Fibrillization of TDP-43's Prion-Like Domain Droplets

TDP-43 assembles various aggregate forms, including biomolecular condensates or functional and pathological amyloids, with roles in disparate scenarios (e.g. muscle regeneration versus neurodegeneration). The link between condensates and fibrils remains unclear, just as the factors controlling conformational transitions within these aggregate species: salt- or RNA-induced droplets may evolve into fibrils or remain in the droplet form, suggesting distinct endpoint species of different aggregation pathways. Using microscopy and NMR methods, we unexpectedly observed in vitro droplet formation in the absence of salts or RNAs, and provided visual evidence for fibrillization at the droplet surface/solvent interface but not the droplet interior. Our NMR analyses unambiguously uncovered a distinct amyloid conformation in which Phe-Gly motifs are key elements of the reconstituted fibril form, suggesting a pivotal role for these residues in creating the fibril core. This contrasts the minor participation of Phe-Gly motifs in initiation of the droplet form. Our results point to an intrinsic (i.e., non-induced) aggregation pathway that may exist over a broad range of conditions, and illustrate structural features that distinguishes between aggregate forms.

biophysics↗

bioRxiv2020

A Multiscale and Comparative Model for Receptor Binding of 2019 Novel Coronavirus and the Implication of its Life Cycle in Host Cells

The respiratory syndrome caused by a new type of coronavirus has been emerging from China and caused more than one million death globally since December 2019. This new virus, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) uses the same receptor called Angiotensin-converting enzyme 2 (ACE2) to attack humans as the coronavirus that caused the severe acute respiratory syndrome (SARS) seventeen years ago. Both viruses recognize ACE2 through the spike proteins (S-protein) on their surfaces. It was found that the S-protein from the SARS coronavirus (SARS-CoV) bind stronger to ACE2 than SARS-CoV-2. However, function of a bio-system is often under kinetic, rather than thermodynamic, control. To address this issue, we constructed a structural model for complex formed between ACE2 and the S-protein from SARS-CoV-2, so that the rate of their association can be estimated and compared with the binding of S-protein from SARS-CoV by a multiscale simulation method. Our simulation results suggest that the association of new virus to the receptor is slower than SARS, which is consistent with the experimental data obtained very recently. We further integrated this difference of association rate between virus and receptor into a mathematical model which describes the life cycle of virus in host cells and its interplay with the innate immune system. Interestingly, we found that the slower association between virus and receptor can result in longer incubation period, while still maintaining a relatively higher level of viral concentration in human body. Our computational study therefore provides, from the molecular level, one possible explanation that this new pandemic by far spread much faster than SARS.

biophysics↗

bioRxiv2020

Bound2Learn: A Machine Learning Approach for Classification of DNA-Bound Proteins from Single-Molecule Tracking Experiments

DNA-bound proteins are essential elements for the maintenance, regulation, and use of the genome. The time they spend bound to DNA provides useful information on their stability within protein complexes and insight into the understanding of biological processes. Single-particle tracking allows for direct visualization of protein-DNA kinetics, however, identifying whether a molecule is bound to DNA can be non-trivial. Further complications arise when tracking molecules for extended durations in processes with slow kinetics. We developed a machine learning approach, termed Bound2Learn, using output from a widely used tracking software, to robustly classify tracks in order to accurately estimate residence times. We validated our approach in silico, and in live-cell data from Escherichia coli and Saccharomyces cerevisiae. Our method has the potential for broad utility and is applicable to other organisms.

biophysics↗

bioRxiv2020

Thermodynamic and kinetic design principles for protein aggregation inhibitors

Understanding the mechanism of action of compounds capable of inhibiting protein aggregation is critical to the development of potential ther-apeutics against protein misfolding diseases. A fundamental challenge for progress is the range of possible target species and the disparate timescales involved, since the aggregating proteins are simultaneously the reactants, products, intermediates and catalysts of the reaction. It is a complex problem, therefore, to choose the states of the aggregating proteins that should be bound by the compounds to achieve the most potent inhibition. We present here a comprehensive kinetic theory of protein aggregation inhibition which reveals the fundamental thermodynamic and kinetic signatures characterising effective inhibitors by identifying quantitative relationships between the aggregation and binding rate constants. These results provide general physical laws to guide the design and optimisation of protein aggregation inhibitors.

biophysics↗

bioRxiv2020

Unifying the Ambivalent Mechanisms of Protein-Stabilising Osmolytes

The mechanism of protein stabilization by zwiterionic osmolytes has remained a long-standing puzzle. While the prevalent mechanistic hypothesis suggests an osmo-phobic model in which osmolytes are assumed to stabilize proteins by preferentially excluding themselves from the protein surface, emerging evidences of preferential binding of popular osmolyte trimethyl amine N-oxide (TMAO) with hydrophobic macromolecules contradict this view. Here we address these contrasting perspectives by investigating the folding mechanism of a set of mini proteins in aqueous solutions of two different osmolytes glycine and TMAO, via free energy simulations. Our results demonstrate that, while both osmolytes are found to stabilize the folded conformation of the mini proteins, their mechanism of actions are mutually diverse: Specifically, glycine always depletes from the surface of all mini proteins, thereby conforming to the osmophobic model; but TMAO is found to display ambivalent signatures of protein-specific preferential binding and exclusion to/from the protein surface. At molecular level, the presence of an extended hydrophobic patch in protein topology is found to be recurrent motif in proteins leading to favorable binding with TMAO. Finally, an analysis based upon the preferential interaction theory and folding free energetics reveals that irrespective of preferential binding vs exclusion of osmolytes, it is the relative preferential depletion of osmolytes on transition from folded to unfolded conformation of proteins, which drives the overall conformational equilibrium towards the folded state in presence of osmolytes. Taken together, moving beyond the model system and hypothesis, this work brings out ambivalent mechanism of osmolytes on proteins and provides an unifying justification.

biophysics↗

bioRxiv2020

Decellularized Plant-Based Scaffolds for Guided Alignment of Myoblast Cells

Alignment and orientation of cells in vivo plays a crucial role in the functionality of tissue. A challenged faced by traditional cell culture approaches is that the majority of two-dimensional substrates fail to induce a controlled alignment of cells in vitro. To address this challenge, approaches utilizing mechanical stresses, exposure to electrical fields, structurally aligned biomaterials and/or textured microfabricated substrates, have been developed to control the organization of cells through microenvironmental stimuli. In the field of muscle tissue engineering it is often desirable to control the alignment and fusion of muscle precursor cells as it more closely resembles in vivo conditions. In this study, we utilize plant-derived cellulose biomaterials to control the in vitro alignment of C2C12 murine myoblasts. We hereby report that cells display a clear sensitivity to the highly aligned vascular bundle architectures found in decellularized celery (Apium graveolens). Conveniently, the xylem and phloem channels lie within the 10-100m diameter, which has been shown to be optimal diameter for myoblast alignment through contact guidance. Following 10 days in proliferation media, F-actin filaments were observed to be aligned parallel to the longitudinal axis of the vascular bundle. Subsequently, following 5 days in differentiation media, myoblast maintained an aligned morphology, which led to the formation of aligned myotubes. We therefore conclude that the microtopography of the vascular bundle guides muscle cell alignment. The results presented here highlight the potential of this plant-derived scaffold for in vitro studies of muscle myogenesis, where structural anisotropy is required to more closely resemble in vivo conditions.

biophysics↗

bioRxiv2020

Improved Parameterization of Protein-DNA Interactions for Molecular Dynamics Simulations of PCNA Diffusion on DNA

Here, we quantitatively evaluate the accuracy of the protein-DNA interactions in AMBER and CHARMM force fields by comparing experimental and simulated diffusion coefficients of proliferating cell nuclear antigen (PCNA). We find that both force fields underestimate diffusion coefficients by at least an order of magnitude because the interactions between basic amino acids and DNA phosphate groups are too attractive. Then, we propose Lennard-Jones parameters optimized using the experimental osmotic pressure data of model chemicals, by using which one can reproduce the experimental diffusion coefficients. Newly optimized parameters will have a broad impact on general protein-DNA interactions.

biophysics↗

bioRxiv2020

Prebiotically-relevant low polyion multivalency can improve functionality of membraneless compartments

Multivalent polyions can undergo complex coacervation, producing membraneless compartments that accumulate ribozymes and enhance catalysis, and offering a mechanism for functional prebiotic compartmentalization in the origins of life. Here, we evaluated the impact of low, prebiotically-relevant polyion multivalency in coacervate performance as functional compartments. As model polyions, we used positively and negatively charged homopeptides with one to 100 residues, and adenosine mono-, di-, and triphosphate nucleotides. Polycation/polyanion pairs were tested for coacervation, and resulting membraneless compartments were analyzed for salt resistance, ability to provide a distinct internal microenvironment (apparent local pH, RNA partitioning), and effect on RNA structure formation. We find that coacervates formed by phase separation of the relatively shorter polyions more effectively generated distinct pH microenvironments, accumulated RNA, and preserved duplexes. Hence, reduced multivalency polyions are not only viable as functional compartments for prebiotic chemistries, but they can offer advantages over higher molecular weight analogues.

biophysics↗

bioRxiv2020

Dynamics as a cause for the nanoscale organization of the genome

Chromatin blobs were recently identified by live super-resolution imaging as pervasive, but transient and dynamic structural entities consisting of a few associating nucleosomes. The origin and functional implications of these blobs are, however, unknown. Following these findings, we explore whether causal relationships exist between parameters characterizing the chromatin blob dynamics and structure, by adapting a framework for spatio-temporal Granger-causality inference. Our analysis reveals that chromatin dynamics is a key determinant of both blob area and local density. However, such causality can only be demonstrated in small areas (10 - 20%) of the nucleus, highlighting that chromatin dynamics and structure at the nanoscale is dominated by stochasticity. Pixels for which the inter-blob distance can be effectively demonstrated to depend on chromatin dynamics appears as clump in the nucleus, and display both a higher blob density and higher local dynamics as compared with the rest of the nucleus. Furthermore, we show that the theory of active semiflexible polymers can be invoked to provide potential mechanisms leading to the organization of chromatin into blobs. Based on active motion-inducing effectors, this framework qualitatively recapitulates experimental observations and predicts that chromatin blobs might be formed stochastically by a collapse of local polymer segments consisting of a few nucleosomes. Our results represent a first step towards elucidating the mechanisms that govern the dynamic and stochastic organization of chromatin in a cell nucleus.

biophysics↗

bioRxiv2020

Coupling of conformational switches in calcium sensor unraveled with local Markov models and transfer entropy

Proteins often have multiple switching domains that are coupled to each other and to binding of ligands in order to realize signaling functions. Here we investigate the C2A domain of Synaptotagmin-1 (Syt-1), a calcium sensor in the neurotransmitter release machinery and a model system for the large family of C2 membrane binding domains. We combine extensive molecular dynamics (MD) simulations and Markov modeling in order to model conformational switching domains, their states and their dependence on bound calcium ions. Using transfer entropy, we characterize how the switching domains are coupled via directed or allosteric mechanisms and give rise to the calcium sensing function of the protein. Our switching mechanism contributes to the understanding of the neurotransmitter release machinery and the proposed methodological approach serves as a template to analyze conformational switching domains and study their coupling in macromolecular machines in general.

biophysics↗

bioRxiv2020

Identification of novel RNA Polymerase II CTD interaction sites on the mRNA Capping Enzyme

1Recruitment of the mRNA Capping Enzyme (CE/RNGTT) to the site of transcription is essential for the formation of the 5 mRNA cap, which in turn ensures efficient transcription, splicing, polyadenylation, nuclear export and translation of mRNA in eukaryotic cells. The CE is recruited and activated by the Serine-5 phosphorylated carboxyl-terminal domain (CTD) of RNA polymerase II. Through the use of molecular dynamics simulations and enhanced sampling techniques, we provide a systematic and detailed characterisation of the human CE-CTD interface, describing the effect of the CTD phosphorylation state, length and orientation on this interaction. Our computational analyses identify novel CTD interaction sites on the human CE surface and quantify their relative contributions to CTD binding. We also identify differences in the CTD binding conformation when phosphorylated at either the Serine-2 or Serine-5 positions, thus providing insights into how the CE reads the CTD code. The computational findings are then validated by binding and activity assays. These novel CTD interaction sites are compared with cocrystal structures of the CE-CTD complex in different eukaryotic taxa, leading to the conclusion that this interface is considerably more conserved than previous structures have indicated.

biophysics↗

bioRxiv2020

Quantifying Epigenetic Stability with Minimum Action Paths

Chromatin can adopt multiple stable, heritable states with distinct histone modifications and varying levels of gene expression. Insight on the stability and maintenance of such epigenetic states can be gained by mathematical modeling of stochastic reaction networks for histone modifications. Analytical results for the kinetic networks are particularly valuable. Compared to computationally demanding numerical simulations, they often are more convenient at evaluating the robustness of conclusions with respect to model parameters. In this communication, we developed a second-quantization based approach that can be used to analyze discrete stochastic models with a fixed, finite number of particles using a representation of the SU (2) algebra. We applied the approach to a kinetic model of chromatin states that captures the feedback between nucleosomes and the enzymes conferring histone modifications. Using a path integral expression for the transition probability, we computed the epigenetic landscape that helps to identify the emergence of bistability and the most probable path connecting the two steady states. We anticipate the generalizability of the approach will make it useful for studying more complicated models that couple epigenetic modifications with transcription factors and chromatin structure.

biophysics↗

bioRxiv2020

Mechanical Heterogeneity in the Bone Microenvironment as Characterised by Atomic Force Microscopy

Bones are structurally heterogeneous organs with diverse functions that undergo mechanical stimuli across multiple length scales. Mechanical characterisation of the bone microenvironment is important for understanding how bones function in health and disease. Here we describe the mechanical architecture of cortical bone, the growth plate, metaphysis and marrow in fresh murine bones, probed using atomic force microscopy in physiological buffer. Both elastic and viscoelastic properties are found to be highly heterogeneous with moduli ranging over 3 to 5 orders of magnitude, both within and across regions. All regions include extremely soft areas, with moduli of a few Pascal and viscosities as low as tens Pa*s. Aging impacts the viscoelasticity of the bone marrow strongly but has limited effect on the other regions studied. Our approach provides the opportunity to explore the mechanical properties of complex tissues at the length scale relevant to cellular processes and how these impact on aging and disease. SIGNIFICANCEThe mechanical properties of biological materials at cellular scale are involved in guiding cell fate. However, there is a critical gap in our knowledge of such properties in complex tissues. The physiochemical environment surrounding the cells in in-vitro studies differs significantly from that found in vivo. Existing mechanical characterisation of real tissues are largely limited to properties at larger scales, structurally simple (e.g. epithelial monolayers) or non-intact (e.g. through fixation) tissues. In this paper, we address this critical gap and present the micro-mechanical properties of the relatively intact bone microenvironment. The measured Youngs moduli and viscosity provide a sound guidance in bioengineering designs. The striking heterogeneity at supracellular scale reveals the potential contribution of the mechanical properties in guiding cell behaviour.

biophysics↗