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Results for “Biophysics”

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bioRxiv2017

Kinetic Machine Learning Unravels Ligand-Directed Conformational Change of μ Opioid Receptor

The Opioid Receptor (OR) is a G-Protein Coupled Receptor (GPCR) that mediates pain and is a key target for clinically administered analgesics. The current generation of prescribed opiates - drugs that bind to OR - engender dangerous side effects such as respiratory depression and addiction in part by stabilizing off-target conformations of the receptor. To determine both the key conformations of OR to atomic resolution as well as the transitions between them, long timescale molecular dynamics (MD) simulations were conducted and analyzed. These simulations predict new and potentially druggable metastable states that have not been observed by crystallography. We applied cutting edge algorithms (e.g., tICA and Transfer Entropy) to guide our analysis and distill the key events and conformations from simulation, presenting a transferrable and systematic analysis scheme. Our approach provides a complete, predictive model of the dynamics, structure of states, and structure-ligand relationships of OR with broad applicability to GPCR biophysics and medicinal chemistry.

biophysics↗

bioRxiv2017

A structural and kinetic link between membrane association and amyloid fibril formation of α-Synuclein

The protein -Synuclein (S) is linked to Parkinsons disease through its abnormal aggregation, which is thought to involve an interplay between cytosolic and membrane-bound forms of S. Therefore, better insights into the molecular determinants of membrane association and their implications for protein aggregation may help deciphering the pathogenesis of Parkinsons disease. Following previous studies using micelles and vesicles, we present a comprehensive study of S interaction with phospholipid bilayer nanodiscs. Using a combination of NMR - spectroscopic and complementary biophysical as well as computational methods we structurally and kinetically characterize S interaction with defined stable planar membranes in a quantitative and site-resolved way. We probe the role of S acetylation as well as membrane charge, plasticity and available surface area in modulating S membrane binding modes and directly link these findings to their consequences for S amyloid fibril formation.

biophysics↗

bioRxiv2017

The lamellipodium is a myosin independent mechanosensor

The ability of adherent cells to sense changes in the mechanical properties of their extracellular environments is critical to numerous aspects of their physiology. It has been well documented that cell attachment and spreading are sensitive to substrate stiffness. Here we demonstrate that this behavior is actually biphasic, with a transition that occurs around a Youngs modulus of [~]7 kPa. Furthermore, we demonstrate that, contrary to established assumptions, this property is independent of myosin II activity. Rather, we find that cell spreading on soft substrates is inhibited due to reduced nascent adhesion formation within the lamellipodium. Cells on soft substrates display normal leading edge protrusion activity, but these protrusions are not stabilized due to impaired adhesion assembly. Enhancing integrin-ECM affinity through addition of Mn2+ recovers nascent adhesion assembly and cell spreading on soft substrates. Using a computational model to simulate nascent adhesion assembly, we find that biophysical properties of the integrin-ECM bond are optimized to stabilize interactions above a threshold matrix stiffness that is consistent with the experimentally observations. Together these results suggest that myosin II-independent forces in the lamellipodium are responsible for mechanosensation by regulating new adhesion assembly, which in turn, directly controls cell spreading. This myosin II-independent mechanism of substrate stiffness sensing could potentially regulate a number of other stiffness sensitive processes.\n\nSignificance StatementCell physiology can be regulated by the mechanics of the extracellular environment. Here, we demonstrate that cell spreading is a mechanosensitive process regulated by weak forces generated at the cell periphery and independent of motor activity. We show that stiffness sensing depends on the kinetics of the initial adhesion bonds that are subjected to forces driven by protein polymerization. This work demonstrates how the binding kinetics of adhesion molecules are sensitively tuned to a range of forces that enable mechanosensation.

biophysics↗

bioRxiv2017

In silico mechanobiochemical modeling of morphogenesis in cell monolayers

Cell morphogenesis is a fundamental process involved in tissue formation. One of the challenges in the fabrication of living tissues in vitro is to recapitulate the complex morphologies of individual cells. Despite tremendous progress in understanding biophysical principles underlying tissue/organ morphogenesis at the organ level, little work has been done to understand morphogenesis at the cellular and microtissue level. In this work, we developed a 2D computational model for studying cell morphogenesis in monolayer tissues. The model is mainly composed of four modules: mechanics of cytoskeleton, cell motility, cell-substrate interaction, and cell-cell interaction. The model integrates the biochemical and mechanical activities within individual cells spatiotemporally. Finite element method (FEM) is used to model the irregular shapes of cells and to solve the resulting system of reaction-diffusion-stress equations. Automated mesh generation is used to handle the element distortion in FEM due to the large shape changes of the cells. The computer program can simulate tens to hundreds of cells interacting with each other and with the elastic substrate on desktop workstations efficiently. The simulations demonstrated that our computational model can be used to study cell polarization, single cell migration, durotaxis, and morphogenesis in cell monolayers.

biophysics↗

bioRxiv2017

Comprehensive, high-resolution binding energy landscapes reveal context dependencies of transcription factor binding

Transcription factors (TFs) are primary regulators of gene expression in cells, where they bind specific genomic target sites to control transcription. Quantitative measurements of TF-DNA binding energies can improve the accuracy of predictions of TF occupancy and downstream gene expression in vivo and further shed light on how transcriptional networks are rewired throughout evolution. Here, we present a novel sequencing-based TF binding assay and analysis pipeline capable of providing quantitative estimates of binding energies for more than one million DNA sequences in parallel at high energetic resolution. Using this platform, we measured the binding energies associated with all possible combinations of 10 nucleotides flanking the known consensus DNA target for two model yeast TFs, Pho4 and Cbf1. A large fraction of these flanking mutations change overall binding energies by an amount equal to or greater than consensus site mutations, suggesting that current definitions of TF binding sites may be too restrictive. By systematically comparing estimates of binding energies output by deep neural networks (NN) and biophysical models trained on these data, we establish that dinucleotide specificities are sufficient to explain essentially all variance in observed binding behavior, with Cbf1 binding exhibiting significantly more epistasis than Pho4. NN-derived binding energies agree with orthogonal biochemical measurements and reveal that dynamically occupied sites in vivo are both energetically and mutationally distant from the highest-affinity sites.

biophysics↗

bioRxiv2017

Coarse-grained simulations of actomyosin rings point to a nodeless model involving both unipolar and bipolar myosins

Cytokinesis in most eukaryotic cells is orchestrated by a contractile actomyosin ring. While many of the proteins involved are known, the mechanism of constriction remains unclear. Informed by existing literature and new 3D molecular details from electron cryotomography, here we develop 3D coarse-grained models of actin filaments, unipolar and bipolar myosins, actin crosslinkers, and membranes and simulate their nteractions. Exploring a matrix of possible actomyosin configurations suggested that node-based architectures ike those presently described for ring assembly result in membrane puckers not seen in EM images of real cells. Instead, the model that best matches data from fluorescence microscopy, electron cryotomography, and biochemical experiments is one in which actin filaments transmit force to the membrane through evenly-distributed, membrane-attached, unipolar myosins, with bipolar myosins in the ring driving contraction. While at this point this model is only favored (not proven), the work highlights the power of coarse-grained biophysical simulations to compare complex mechanistic hypotheses.\n\nSignificance StatementIn most eukaryotes, a ring of actin and myosin drives cell division, but how the elements of the ring are arranged and constrict remain unclear. Here we use 3D coarse-grained simulations to explore various possibilities. Our simulations suggest that if actomyosin is arranged in nodes (as suggested by a popular model of ring assembly), the membrane distorts in ways not seen experimentally. Instead, actin and myosin are more ikely uniformly distributed around the ring. In the model that best fits experimental data, ring tension is generated by interactions between bipolar myosins and actin, and transmitted to the membrane via unipolar myosins. Technologically the study highlights how coarse-grained simulations can test specific mechanistic hypotheses by comparing their predicted outcomes to experimental results.

biophysics↗

bioRxiv2019

An allosteric switch regulates Mycobacterium tuberculosis ClpP1P2 protease function as established by cryo-EM and methyl-TROSY NMR

The 300-kDa ClpP1P2 protease from Mycobacterium tuberculosis collaborates with the AAA+ (ATPases associated with a variety of cellular activities) unfoldases, ClpC1 and ClpX, to degrade substrate proteins. Unlike in other bacteria, all the components of the Clp system are essential for growth and virulence of mycobacteria, and their inhibitors show promise as novel antibiotics. MtClpP1P2 is unique in that it contains a pair of distinct ClpP1 and ClpP2 rings and also requires the presence of activator peptides, such as benzoyl-leucyl-leucine (Bz-LL), for function. Understanding the structural basis for this requirement has been elusive but is critical for the rational design and improvement of anti-TB therapeutics that target the Clp system. Here we present a combined biophysical and biochemical study to explore the structure-dynamics-function relationship in MtClpP1P2. Cryo-EM structures of apo and acyldepsipeptide-bound MtClpP1P2 explain their lack of activity by showing loss of a key {beta}-sheet in a sequence known as the handle region that is critical for the proper formation of the catalytic triad. Methyl transverse relaxation-optimized spectroscopy (TROSY)-based NMR, cryo-EM, and biochemical assays show that upon binding Bz-LL or covalent inhibitors, MtClpP1P2 undergoes a conformational change from an inactive compact state to an active extended structure that can be explained by a modified Monod-Wyman-Changeux model. Our study establishes a critical role for the handle region as an on/off switch for function, and shows extensive allosteric interactions involving both intra- and inter-ring communication that regulate MtClpP1P2 activity and that can potentially be exploited by small molecules to target M. tuberculosis. Significance StatementThe MtClpP1P2 protease is part of the essential protein degradation machinery that helps maintain protein homeostasis in Mycobacterium tuberculosis, the causative agent of TB. Antibiotics that selectively kill both dormant and growing drug-resistant populations of M. tuberculosis by disrupting MtClpP1P2 function have attracted recent attention. Here we characterize a switch that can control MtClpP1P2 activity through binding of small peptides, leading to a concerted conformational change that potentially can be exploited by drug molecules to interfere with MtClpP1P2 function. Overall, this work highlights the power of a combined NMR and cryo-EM approach to provide detailed insights into the structure-dynamics-function relationship of molecular machines critical to human health.

biophysics↗

bioRxiv2019

Polar pattern formation induced by contact following locomotion in a multicellular system

Biophysical mechanisms underlying collective cell migration of eukaryotic cells have been studied extensively in recent years. One paradigm that induces cells to correlate their motions is contact inhibition of locomotion, by which cells migrating away from the contact site. Here, we report that tail-following behavior at the contact site, termed contact following locomotion (CFL), can induce a non-trivial collective behavior in migrating cells. We show the emergence of a traveling band showing polar order in a mutant Dictyostelium cell that lacks chemotactic activity. The traveling band is dynamic in the sense that it continuously assembled at the front of the band and disassembled at the back. A mutant cell lacking cell adhesion molecule TgrB1 did not show both the traveling band formation and CFL. We thus conclude that CFL is the cell-cell interaction underlying the traveling band formation. We then develop an agent-based simulation with CFL, which shows the role of CFL in the formation of traveling band. We further show that the polar order phase consists of subpopulations that exhibit characteristic transversal motions with respect to the direction of band propagation. These findings describe a novel mechanism of collective cell migration involving cell-cell interactions capable of inducing traveling band with polar order.

biophysics↗

bioRxiv2019

Microgravity modulates effects of chemotherapeutic drugs on cancer cell migration

Microgravity or the condition of apparent weightlessness causes bone, muscular and immune system dysfunctions in astronauts following spaceflights. These organ and system-level dysfunctions correlate with changes induced at the single cell level both by simulated microgravity on earth as well as microgravity conditions in outer space (as in the international space station). Reported changes in single bone cells, muscle cells and white blood cells include structural/morphological abnormalities, changes in gene expression, protein expression, metabolic pathways and signaling pathways, suggesting that cells mount some response or adjustment to microgravity. However, the implications of such adjustments on many cellular functions and responses are not clear largely because the primary mechanism of gravity sensing in animal cells is unknown. Here we used a rotary cell culture system developed by NASA, to subject leukemic and erythroleukemic cancer cells to microgravity for 48 hours and then quantified their innate immune-response to common anti-cancer drugs using biophysical parameters and our recently developed quantum-dots-based fluorescence spectroscopy. We found that leukemic cancer cells treated with daunorubicin show increased chemotactic migration (p < 0.01) following simulated microgravity (g) compared to normal gravity on earth (1g). However, cells treated with doxorubicin showed enhanced migration both in 1g and following g. Our results show that microgravity modulates cancer cell response to chemotherapy in a drug-dependent manner. These results suggest using simulated microgravity as an immunomodulatory tool for the development of new immunotherapies for both space and terrestrial medicine.

biophysics↗

bioRxiv2020

Adhesion force spectroscopy with nanostructured colloidal probes reveals nanotopography-dependent early mechanotransductive interactions at the cell membrane level

Mechanosensing, the ability of cells to perceive and interpret the microenvironmental biophysical cues (such as the nanotopography), impacts strongly on cellular behaviour through mechanotransductive processes and signalling. These events are predominantly mediated by integrins, the principal cellular adhesion receptors located at the cell/extracellular matrix (ECM) interface. Because of the typical piconewton force range and nanometre length scale of mechanotransductive interactions, achieving a detailed understanding of the spatiotemporal dynamics occurring at the cell/microenvironment interface is challenging; sophisticated interdisciplinary methodologies are required. Moreover, an accurate control over the nanotopographical features of the microenvironment is essential, in order to systematically investigate and precisely assess the influence of the different nanotopographical motifs on the mechanotransductive process. In this framework, we were able to study and quantify the impact of microenvironmental nanotopography on early cellular adhesion events by means of adhesion force spectroscopy based on innovative colloidal probes mimicking the nanotopography of natural ECMs. These probes provided the opportunity to detect nanotopography-specific modulations of the molecular force loading dynamics and integrin clustering at the level of single binding events, in the critical time window of nascent adhesion formation. Following this approach, we found that the nanotopographical features are responsible for an excessive force loading in single adhesion sites after 20 - 60 s of interaction, causing a drop in the number of adhesion sites. However, by manganese treatment we demonstrated that the availability of activated integrins is a critical regulatory factor for these nanotopography-dependent dynamics.

biophysics↗

bioRxiv2020

Development of a soft cell confiner to decipher the impact of mechanical stimuli on cells

Emerging evidence suggests the importance of mechanical stimuli in normal and pathological situations for the control of many critical cellular functions. While the effect of matrix stiffness has been and is still extensively studied, few studies have focused on the role of mechanical stresses. The main limitation of such analyses is the lack of standard in vitro assays enabling extended mechanical stimulation compatible with dynamic biological and biophysical cell characterization. We have developed an agarose-based microsystem, the soft cell confiner, which enables the precise control of confinement for single or mixed cell populations. The rigidity of the confiner matches physiological conditions and enables passive medium renewal. It is compatible with time-lapse microscopy, in situ immunostaining, and standard molecular analyses, and can be used with both adherent and non-adherent cell lines. Cell proliferation of various cell lines (hematopoietic cells, MCF10A epithelial breast cells and HS27A stromal cells) was followed for several days up to confluence using video-microscopy and further documented by Western blot and immunostaining. Interestingly, even though the nuclear projected area was much larger upon confinement, with many highly deformed nuclei (non-circular shape), cell viability, assessed by live and dead cell staining, was unaffected for up to 8 days in the confiner. However, there was a decrease in cell proliferation upon confinement for all tested cell lines. The soft cell confiner is thus a valuable tool to decipher the effect of long-term confinement and deformation on the biology of cell populations. This tool will be instrumental in deciphering the impact of nuclear and cytoskeletal mechanosensitivity in normal and pathological conditions involving highly confined situations, such as those reported upon aging with fibrosis or during cancer. Graphical abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY A unique tool to analyze the role of long-term effect of mechanical confinement in normal and pathological conditions

biophysics↗

bioRxiv2020

Identifying Sequence Perturbations to an Intrinsically Disordered Protein that Determine Its Phase Separation Behavior

Phase separation of intrinsically disordered proteins (IDPs) commonly underlies the formation of membraneless organelles, which compartmentalize molecules intracellularly in the absence of a lipid membrane. Identifying the protein sequence features responsible for IDP phase separation is critical for understanding physiological roles and pathological consequences of biomolecular condensation, as well as for harnessing phase separation for applications in bio-inspired materials design. To expand our knowledge of sequence determinants of IDP phase separation, we characterized variants of the intrinsically disordered RGG domain from LAF-1, a model protein involved in phase separation and a key component of P granules. Based on a predictive coarse-grained IDP model, we identified a region of the RGG domain that has high contact probability and is highly conserved between species; deletion of this region significantly disrupts phase separation in vitro and in vivo. We determined the effects of charge patterning on phase behavior through sequence shuffling. By altering the wild-type sequence, which contains well-mixed charged residues, to increase charge segregation, we designed sequences with significantly increased phase separation propensity. This result indicates the natural sequence is under negative selection to moderate this mode of interaction. We measured the contributions of tyrosine and arginine residues to phase separation experimentally through mutagenesis studies and computationally through direct interrogation of different modes of interaction using all-atom simulations. Finally, we show that in spite of these sequence perturbations, the RGG-derived condensates remain liquid-like. Together, these studies advance a predictive framework and identify key biophysical principles of sequence features important to phase separation. Significance StatementMembraneless organelles are assemblies of highly concentrated biomolecules that form through a liquid-liquid phase separation process. These assemblies are often enriched in intrinsically disordered proteins, which play an important role in driving phase separation. Understanding the sequence-to-phase behavior relationship of these disordered proteins is important for understanding the biochemistry of membraneless organelles, as well as for designing synthetic organelles and biomaterials. In this work, we explore a model protein, the disordered N-terminal domain of LAF-1, and highlight how three key features of the sequence control the proteins propensity to phase separate. Combining predictive simulations with experiments, we find that phase behavior of this model IDP is dictated by the presence of a short conserved domain, charge patterning, and arginine-tyrosine interactions.

biophysics↗

bioRxiv2020

An Active Chemo-mechanical Model to Predict Adhesion and Microenvironmental Regulation of 3D Cell Shapes

Cell shapes are known to regulate cytoskeletal organization, stiffness and the ability of cells to migrate and proliferate. Yet a quantitative understanding of the fundamental biochemical and biophysical mechanisms that determine the cell shapes is currently not available. In this study, we developed a chemo-mechanical feedback model to predict how adhesions and the properties of the 3D microenvironment regulate cell shapes. We find that the cells in 3D collagen matrices remain round or adopt an elongated shape depending on the density of active integrins, the level of contractility regulated by mechanosensitive signaling pathways and the density and mechanics of the matrix. While the formation of actin fibers that run along the cell body mediated by integrins and matrix stiffness drive elongation of cells, the cortical and membrane tension resist elongation. Based on the competition between these mechanisms, we derive phase diagrams for cell shape in the space spanned by the density of active adhesions and the level of biochemical signaling that controls contractility. Our predictions are validated by studying the shapes of HT1080 cells cultured in collagen gels of varying densities and using pharmacological treatments to regulate adhesions and contractility. The predictions of the model are found to be in excellent agreement with our experiments and data reported on a number of cell types in the literature.

biophysics↗

bioRxiv2020

Free Energy Landscape and Conformational Kinetics of Hoogsteen Base-Pairing in DNA vs RNA

Genetic information is encoded in the DNA double helix which, in its physiological milieu, is characterized by the iconical Watson-Crick nucleobase pairing. Recent NMR relaxation experiments revealed the transient presence of an alternative, Hoogsteen base pairing pattern in naked DNA duplexes and estimated its relative stability and lifetime. In contrast, HG transitions in RNA were not observed. Understanding Hoogsteen (HG) base pairing is important because the underlying "breathing" can modulate significantly DNA/RNA recognition by proteins. However, a detailed mechanistic insight into the transition pathways and kinetics is still missing. We performed enhanced sampling simulation (with combined metadynamics and adaptive force bias method) and Markov State modeling to obtain accurate free energy, kinetics and the intermediates in the transition pathway between WC and HG base pair for both naked B-DNA and A-RNA duplexes. The Markov state model constructed from our unbiased MD simulation data revealed previously unknown complex extra-helical intermediates in this seemingly simple process of base pair conformation switching in B-DNA. Extending our calculation to A-RNA, for which HG base pair is not observed experimentally, resulted in relatively unstable single hydrogen bonded distorted Hoogsteen like base pair. Unlike B-DNA the transition pathway primarily involved base paired and intra-helical intermediates with transition timescales much higher than that of B-DNA. The seemingly obvious flip-over reaction coordinate, i.e., the glycosidic torsion angle is unable to resolve the intermediates; so a multidimensional picture, involving backbone dihedral angles and distance between atoms participating in hydrogen bonds, is required to gain insight into the molecular mechanism. SIGNIFICANCEFormation of unconventional Hoogsteen (HG) base pairing is an important problem in DNA biophysics owing to its key role in facilitating the binding of DNA repairing enzymes, proteins and drugs to damaged DNA. X-ray crystallography and NMR relaxation experiments revealed the presence of HG base pair in naked DNA duplex and protein-DNA complex but no HG base pair was observed in RNA. Molecular dynamics simulations could reproduce the experimental free energy cost of HG base pairing in DNA although a detailed mechanistic insight is still missing. We performed enhanced sampling simulation and Markov state modeling to obtain accurate free energy, kinetics and the intermediates in the transition pathway between WC and HG base pair for both B-DNA and A-RNA.

biophysics↗

bioRxiv2020

Design, optimization, and analysis of large DNA and RNA nanostructures through interactive visualization, editing, and molecular simulation

This work seeks to remedy two deficiencies in the current nucleic acid nanotechnology software environment: the lack of both a fast and user-friendly visualization tool and a standard for common structural analyses of simulated systems. We introduce here oxView, a web browser-based visualizer that can load structures with over 1 million nucleotides, create videos from simulation trajectories, and allow users to perform basic edits to DNA and RNA designs. We additionally introduce open-source software tools for extracting common structural parameters to characterize large DNA/RNA nanostructures simulated using the coarse-grained modeling tool, oxDNA, which has grown in popularity in recent years and is frequently used to prototype new nucleic acid nanostructural designs, model biophysics of DNA/RNA processes, and rationalize experimental results. The newly introduced software tools facilitate the computational characterization of DNA/RNA designs by providing multiple analysis scripts, including mean structures and structure flexibility characterization, hydrogen bond fraying, and interduplex angles. The output of these tools can be loaded into oxView, allowing users to interact with the simulated structure in a 3D graphical environment and modify the structures to achieve the required properties. We demonstrate these newly developed tools by applying them to in silico design, optimization and analysis of a range of DNA and RNA nanostructures.

biophysics↗

bioRxiv2020

Drag-induced directionality switching of kinesin-5 Cin8 revealed by cluster-motility analysis

Directed active motion of motor proteins is a vital process in virtually all eukaryotic cells. Nearly a decade ago, the discovery of directionality switching of mitotic kinesin-5 motors challenged the long-standing paradigm that individual kinesin motors are characterized by an intrinsic directionality. While several kinesin motors have now been shown to exhibit context-dependent directionality that can be altered under diverse experimental conditions, the underlying mechanism remains unknown. Here, we studied clustering-induced directionality switching of the mitotic kinesin-5 Cin8, using a fluorescence-based single-molecule motility assay combined with biophysical theory. Based on the detailed characterization of the motility of single motors and clusters of Cin8, we developed a predictive molecular model, that quantitatively agrees with experimental data. This combined approach allowed us to quantify the response of Cin8 motors to external forces as well as the interactions between Cin8 motors, and thereby develop a detailed understanding of the molecular mechanism underlying directionality switching. The main insight is that directionality switching is caused by a single feature of Cin8: an asymmetric response of active motion to forces that oppose motion, here referred to as drag. This general mechanism explains why bidirectional motor proteins are capable of reversing direction in response to seemingly unrelated experimental factors including clustering, changes in the ionic strength of the buffer, increased motor density and molecular crowding, and in motility assays. Significance StatementKinesin-5 motor proteins perform essential functions in chromosome segregation during mitotic cell division. Surprisingly, several kinesin-5 motors have the ability to reverse directionality under different experimental conditions, which contradicts the long-standing paradigm that individual kinesin motors are characterized by an intrinsic directionality. The mechanism underlying this ability to switch directionality has remained elusive. Here, we combine fluorescence-based motility assays and theoretical modeling to analyze cluster-size-dependent motility of the bidirectional kinesin-5 Cin8. Our results show that bidirectional motors can switch directionality because they exhibit an asymmetric response of active motion to drag. This mechanism explains multiple seemingly unrelated experimental factors that have been shown to cause directionality switching of kinesin motors.

biophysics↗

bioRxiv2020

Influenza hemagglutinin drives viral entry via two sequential intramembrane mechanisms

Enveloped viruses enter cells via a process of membrane fusion between the viral envelope and a cellular membrane. For influenza virus, mutational data have shown that the membrane-inserted portions of the hemagglutinin protein play a critical role in achieving fusion. In contrast to the relatively well-understood ectodomain, a predictive mechanistic understanding of the intramembrane mechanisms by which influenza hemagglutinin drives fusion has been elusive. We have used molecular dynamics simulations of fusion between a full-length hemagglutinin proteoliposome and a lipid bilayer to analyze these mechanisms. In our simulations, hemagglutinin first acts within the membrane to increase lipid tail protrusion and promote stalk formation and then acts to engage the distal leaflets of each membrane and promote stalk widening, curvature, and eventual fusion. These two sequential mechanisms, one occurring prior to stalk formation and one after, are consistent with experimental measurements we report of single-virus fusion kinetics to liposomes of different sizes. The resulting model also helps explain and integrate prior mutational and biophysical data, particularly the mutational sensitivity of the fusion peptide N-terminus and the length sensitivity of the transmembrane domain. We hypothesize that entry by other enveloped viruses may also utilize sequential processes of acyl tail exposure followed by membrane curvature and distal leaflet engagement.

biophysics↗

bioRxiv2020

The cation diffusion facilitator protein MamM's cytoplasmic domain exhibits metal-type dependent binding modes and discriminates against Mn2+

Cation diffusion facilitator (CDF) proteins are a conserved family of divalent transition metal cation transporters. CDF proteins are usually composed of two domains: the transmembrane domain (TMD), in which the metal cations are transported through, and a regulatory cytoplasmic C-terminal domain (CTD). Each CDF protein transports either one specific metal, or multiple metals, from the cytoplasm. Here, the model CDF protein MamM, from magnetotactic bacteria, was used to probe the role of the CTD in metal selectivity. Using a combination of biophysical and structural approaches, the binding of different metals to MamM CTD was characterized. Results reveal that different metals bind distinctively to MamM CTD in terms of; their binding sites, thermodynamics and binding-dependent conformation, both in crystal form and in solution. Furthermore, the results indicate that the CTD discriminates against Mn2+ and provides the first direct evidence that CDF CTDs play a role in metal selectivity.

biophysics↗