Search bioRxivSearch

SEARCH · Search bioRxiv

Results for “Biophysics”

Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,747 records · Page 97Linked to original sources

In vivo x-ray diffraction and simultaneous EMG reveal the time course of myofilament lattice dilation and filament stretch

Muscles function within an organism depends on the feedback between molecular to meter-scale processes. While the motions of muscles contractile machinery are well described in isolated preparations, only a handful of experiments have documented the kinematics of the lattice occurring when multi-scale interactions are fully intact. We used time-resolved x-ray diffraction to record the kinematics of the myofilament lattice within a normal operating context: the tethered flight of Manduca sexta. Since the primary flight muscles of Manduca sexta are synchronous, we used these results to reveal the timing of in vivo cross-bridge recruitment, which occurred 24 (s.d. 26) ms following activation. In addition, the thick filaments stretched an average of 0.75 (s.d. 0.32)% and thin filaments stretched 1.11 (s.d. 0.65)%. In contrast to other in vivo preparations, lattice spacing changed an average of 2.72 (s.d. 1.47)%. Lattice dilation of this magnitude significantly impacts shortening velocity and force generation, and filament stretching tunes force generation. While kinematics were consistent within individual trials, there was extensive variation between trials. Using a mechanism-free machine learning model we searched for patterns within and across trials. While lattice kinematics were predictable within trials, the model could not create predictions across trials. This indicates that the variability we see across trials may be explained by latent variables occurring in this naturally functioning system. The diverse kinematic combinations we documented mirror muscles adaptability and may facilitate its robust function in unpredictable conditions.

biophysics

Development of nascent focal adhesions in spreading cells

Cell spreading provides one of the simplest configurations in which eukaryotic cells develop angular symmetry-breaking assemblies of mechanosensing and mechanotransducive organelles in preparation for cell differentiation and movement. By identifying the edge of the cell-ECM adhesion area as having an important role in mechanosensor complex aggregation, we consider the spatial patterns arising on this edge, within a 1D lattice model of the nearest-neighbour interaction between individual integrin-mediated mechanosensors. We obtain the Ginzburg-Landau free energy for this model and analyse the spectrum of spatial modes as the cell spreads and increases the contact area. We test the plausibility of our model by comparing its predictions for the azimuthal angular frequency of aggregation of mechanosensors into nascent focal adhesions (FAs) to observations of the paxillin distribution in spreading fibroblasts. STATEMENT OF SIGNIFICANCEThe topic of cell adhesion on substrates is very active, with numerous theoretical, experimental and computer simulation studies probing the mechanisms and signalling pathways of cell response to interacting with substrate. Integrin-based adhesion complexes are known to be the individual units of this process, and their dense aggregation into focal adhesions leads to cells developing asymmetry, polarity, and eventually - locomotion. Here we develop a theoretical model that suggests that physical interactions between individual adhesion complexes is the factor that defines the initial breaking of symmetry of the cell spreading on substrate, and predicts the characteristic wavelength of modulation above the critical size of adhesion area.

biophysics

Force-Field Benchmarking by Alternatives: A Systematic Study of Ten Small α- and β-Proteins

Predicting protein structure from sequence is a central challenge of biochemistry, yet different force fields feature distinct structural biases that are hard to quantify, preventing clear assessment of results. Since structural transitions occur on milliseconds to seconds, sampling is out of reach in almost all routine studies, we inherently rely on local sampled structures, and benchmarks have emphasized the ability to reproduce these local structures. Here we approach the force field bias problem in a different way, via alternatives, by revisiting the old question: How unique is the sequence-structure relationship when studied computationally? To circumvent the sampling problem, the system-bias (specific structure choices affect apparent force field structural preference) and the complexity of tertiary structure, we studied ten small - and {beta}-proteins (20-35 amino acids) with one helix or sheet. For each of the ten sequences, we then designed alternative {beta}- or -structures and subjected all 20 proteins to molecular dynamics simulations. We apply this "alternative structure" benchmark to five of the best modern force fields: Amber ff99SB-ILDN, Amber ff99SB*-ILDN, CHARMM22*, CHARMM36, and GROMOS54A8. Surprisingly, we find that all sequences with reported {beta}-structures also feature stable native-like -structures with all five force fields. In contrast, only the alternative {beta}-1T5Q and to some extent {beta}-1CQ0 and {beta}-1V1D resembled native {beta}-proteins. With full phase space sampling being impossible in almost all cases, our benchmark by alternatives, which samples another local part of phase space in direct comparison, is a useful complement to millisecond benchmarks when these become more common.

biophysics

The relation between intrinsic protein conformational changes and ligand binding

1Structural changes in proteins allow them to exist in several conformations. Non-covalent interactions with ligands drive the structural changes, thereby allowing the protein to perform its biological function. Recent findings suggest that many proteins are always in an equilibrium of different conformations and that each of these conformations can be formed by both the ligand-free and ligand-bound protein. By using classical statistical mechanics, we derived the equilibrium probabilities of forming a conformation with and without ligand. We found, under certain conditions, that increasing the probability of forming a conformation by the ligand-free protein also increases the probability of forming the same conformation when the protein has a ligand bound. Further, we found that changes in the conformational equilibrium of the ligand-free protein can increase or decrease the affinity for the ligand.

biophysics

Light-driven formation of high-valent manganese oxide by photosystem II supports evolutionary role in early bioenergetics

Water oxidation and concomitant O2-formation by the Mn4Ca cluster of oxygenic photosynthesis has shaped the biosphere, atmosphere, and geosphere. It has been hypothesized that at an early stage of evolution, before photosynthetic water oxidation became prominent, photosynthetic formation of Mn oxides from dissolved Mn(2+) ions may have played a key role in bioenergetics and possibly facilitated early geological manganese deposits. The biochemical evidence for the ability of photosystems to form extended Mn oxide particles, lacking until now, is provided herein. We tracked the light-driven redox processes in spinach photosystem II (PSII) particles devoid of the Mn4Ca clusters by UV-vis and X-ray spectroscopy. We find that oxidation of aqueous Mn(2+) ions results in PSII-bound Mn(III,IV)-oxide nanoparticles of the birnessite type comprising 50-100 Mn ions per PSII. Having shown that even todays photosystem-II can form birnessite-type oxide particles efficiently, we propose an evolutionary scenario, which involves Mn-oxide production by ancestral photosystems, later followed by down-sizing of protein-bound Mn-oxide nanoparticles to finally yield todays Mn4CaO5 cluster of photosynthetic water oxidation.

biophysics

CryoEM structure of the Vibrio cholerae Type IV competence pilus secretin PilQ

Natural transformation is the process by which bacteria take up genetic material from their environment and integrate it into their genome by homologous recombination. It represents one mode of horizontal gene transfer and contributes to the spread of traits like antibiotic resistance. In Vibrio cholerae, the Type IV competence pilus is thought to facilitate natural transformation by extending from the cell surface, binding to exogenous DNA, and retracting to thread this DNA through the outer membrane secretin, PilQ. A lack of structural information has hindered our understanding of this process, however. Here, we solved the first ever high-resolution structure of a Type IV competence pilus secretin. A functional tagged allele of VcPilQ purified from native V. cholerae cells was used to determine the cryoEM structure of the PilQ secretin in amphipol to [~]2.7 [A]. This structure highlights for the first time key differences in the architecture of the Type IV competence pilus secretin from the Type II and Type III Secretin System secretins. Based on our cryoEM structure, we designed a series of mutants to interrogate the mechanism of PilQ. These experiments provide insight into the channel that DNA likely traverses to promote the spread of antibiotic resistance via horizontal gene transfer by natural transformation. We prove that it is possible to reduce pilus biogenesis and natural transformation by sealing the gate, suggesting VcPilQ as a new drug target.

biophysics

Theoretical analysis of neural crest cell migration

The neural crest cells are embryonic stem cells that migrate throughout embryos and, at different target locations, give rise to the formation of a variety of tissues and organs. The directional migration of the neural crest cells is experimentally described using a process referred to as contact inhibition of locomotion (CIL), by which cells redirect their movement upon the cell-cell contacts. However, it is unclear how the migration alignment is affected by the motility properties of the cells. Here, we computationally model the migration alignment and the average time to reach a target location as functions of the motility dynamics and interaction of the cells in an open domain with a channel geometry. The results indicate that by varying the properties of the CIL interaction a transition takes place from random movement of the cells to an organized collective migration, where the migration alignment is maximised and the migration time is minimised. This phase transition is accelerated and strengthened with the influx rate of the cells into the domain through increasing the density of the migrating cells. The model further suggests that the migration is more coordinated when the cells with a large CIL radius move fast in a narrow domain.

biophysics

Queuing models of gene expression: Analytical distributions and beyond

Activation of a gene is a multistep biochemical process, involving recruitments of transcription factors and histone kinases as well as modification of histones. Many of these intermediate reaction steps would have been unspecified by experiments. Therefore, classical two-state models of gene expression established based on the memoryless (or Markovian) assumption would not well describe the reality in gene expression. In fact, recent experimental data have indicated that the inactive phases of gene promoters are differently distributed, showing strong memory. Here, we use a non-exponential waiting-time distribution to model the complex activation process of a gene, and analyze a queuing model of stochastic transcription. We successfully derive the analytical expression for the mRNA distribution, which provides insight into the effect of molecular memory created by complex activating events on the mRNA expression. We find that the reduction in the waiting-time noise may result in the increase in the mRNA noise, contrary to the previous conclusion. Based on the derived distribution, we also develop a method to infer the waiting-time distribution from a known mRNA distribution. Data analysis on a realistic example verifies the validity of this method. SIGNIFICANCEActivation of a gene is a complex biochemical process and involve several intermediate reaction steps, many of which have been unspecified by experiments. Stochastic models of gene expression that were previously established based on the constant reaction rates would not well reflect the reality in gene expression. To this end, we study a queuing model of stochastic transcription which assume that the reaction waiting time follows a general distribution and derive the analytical expression for mRNA distribution. Our results provide insight into the role of molecular memory in fine-tuning the gene expression noise, and can be used to infer the underlying molecular mechanism.

biophysics

Rapid formation of peptide/lipid co-aggregates by the amyloidogenic seminal peptide PAP248-286

Protein/lipid co-assembly is an understudied phenomenon that is important to the function of antimicrobial peptides as well as the pathological effects of amyloid. Here we study the co-assembly process of PAP248-286, a seminal peptide that displays both amyloid-forming and antimicrobial activity. PAP248-286 is a fragment of prostatic acid phosphatase and has been reported to form amyloid fibrils, known as semen-derived enhancer of viral infection (SEVI), that enhance the viral infectivity of HIV. We find that in addition to forming amyloid, PAP248-286 much more readily assembles with lipid vesicles into peptide/lipid co-aggregates that resemble amyloid fibrils in some important ways but are a distinct species. The formation of these co-aggregates, which we term "messicles", is controlled by the peptide:lipid (P:L) ratio and by the lipid composition. The optimal P:L ratio is around 1:10 and at least 70% anionic lipid is required for co-aggregate formation. Once formed, messicles are not disrupted by subsequent changes in P:L ratio. We propose that messicles form through a polyvalent assembly mechanism, where a critical surface density of PAP248-286 on liposomes enables peptide-mediated particle bridging into larger species. Even at ~100-fold lower PAP248-286 concentrations, messicles form at least 10-fold faster than amyloid fibrils. It is therefore possible that, some or all of the biological activities assigned to SEVI, the amyloid form of PAP248-286, could instead be attributed to a PAP248-286/lipid co-aggregate. More broadly speaking, this work provides a potential framework for the discovery and characterization of peptide/lipid co-aggregates by other amyloid-forming proteins and antimicrobial peptides. Statement of SignificancePAP248-286, a fragment of prostatic acid phosphatase, forms amyloid thought to enhances the infectivity of many viruses, including HIV. This amyloid, termed semen-derived enhancer of viral infection (SEVI), has been assigned responsibility for all of PAP248-286s biological activities, while the monomer is thought to be inactive. However, SEVI formation is quite slow and requires very high concentrations of PAP248-286. Here, we show that PAP248-286 can instead assemble much more rapidly with lipid membranes to form another species, mechanistically and morphologically distinct from both monomer and SEVI amyloid. We have characterized this new species, which could play a role in the biological activities currently ascribed to SEVI. Additionally, our proposed mechanism for peptide/lipid co-assembly could apply to other biologically important systems.

biophysics

Lipid membrane templated misfolding and self-assembly of intrinsically disordered tau protein

The aggregation of the intrinsically disordered tau protein into highly ordered {beta}-sheet fibrils is implicated in many neurodegenerative disorders. Fibrillation mechanism remains unresolved, particularly early events that trigger tau misfolding and assembly. We investigated the role membrane plays in modulating aggregation of three tau variants, the largest isoform hTau40, the truncated construct K18, and a hyperphosphorylation mutant hTau40/3Epi. Despite being charged and soluble, tau proteins were also highly surface active and favorably interacted with anionic, but not zwitterionic, lipid monolayer at the air/water interface. Membrane binding induced macroscopic tau phase separation and {beta}-sheet-rich tau oligomer formation. Concomitantly, membrane morphology and lipid packing became disrupted. Our findings support a general tau aggregation mechanism wherein taus inherent surface activity and favorable electrostatic interactions drive tau-membrane association, inducing tau phase separation that is accompanied by misfolding and self-assembly of disordered tau into {beta}-sheet-rich oligomers, which subsequently seed fibrillation and deposition into diseased tissues.

biophysics

Virtual-SMLM, a virtual environment for real-time interactive SMLM acquisition

Although single molecule localisation microscopy enables for the visualisation of cells nanoscale organisation, its dissemination remains limited mainly due to the complexity of the associated imaging acquisition, impacting on outputs reliability and reproducibility. We propose here the first all-in-one fully virtual environment for SMLM acquisition: Virtual-SMLM, including on-the-fly interactivity and real time display. It relies on a novel realistic approach to simulate fluorophores photo-physics based on independent pseudo-continuous emission traces. It also facilitates for user-specific experimental and optical environment design. As such, it constitutes a unique tool for the training of both users and machine learning approaches to automated SMLM, as well as for experimental validation, whilst providing realistic data sets for the development of image reconstruction algorithms and data analysis software.

biophysics

Potassium Glutamate and Glycine Betaine Induce Self-Assembly of Sliding Clamps into Higher Order Oligomers

Sliding clamps are oligomeric ring-shaped proteins that increase the efficiency of DNA replication. The stability of the Escherichia coli {beta}-clamp, a homodimer, is particularly remarkable. The dissociation equilibrium constant of {beta} is of the order of 10 pM in buffers of moderate ionic strength. Coulombic electrostatic interactions have been shown to contribute to this remarkable stability. Increasing NaCl concentration in the assay buffer results in decreased dimer stability and faster subunit dissociation kinetics in a way consistent with simple charge-screening models. Here, we examine non-Coulombic ionic effects on the oligomerization properties of sliding clamps. Replacing NaCl by KGlu, the primary cytoplasmic salt in E. coli, results in the formation of assemblies that involve two or more rings stacked face-to-face. Results can be quantitatively explained on the basis of unfavorable interactions between KGlu and the functional groups on the protein surface, which drive biomolecular processes that bury exposed surface. Similar results were obtained with the S. cerevisiae PCNA sliding clamp, suggesting that KGlu effects are not specific to {beta}. Clamp association is also promoted by glycine betaine, a zwitterionic compound that accumulates intracellularly when E. coli is exposed to high concentrations of extracellular solute. Possible biological implications are discussed.

biophysics

AI boosted molecular MRI for apoptosis detection in oncolytic virotherapy

Oncolytic virotherapy is a promising treatment for high mortality cancers1. Non-invasive imaging of the underlying molecular processes is an essential tool for therapy optimization and assessment of viral spread, innate immunity, and therapeutic response2, 3. However, previous methods for imaging oncolytic viruses did not correlate with late viral activity4 or had poor sensitivity and specificity5. Similarly, methods developed to image treatment response, such as apoptosis, proved to be slow, nonspecific, or require the use of radioactive or metal-based contrast agents6-8. To date, no method has been widely adopted for clinical use. We describe here a new method for fast magnetic resonance molecular imaging with quantitative proton chemical-exchange specificity to monitor oncolytic virotherapy treatment response. A deep neural network enabled the computation of quantitative biomarker maps of protein and lipid/macromolecule concentrations as well as intracellular pH in a glioblastoma multiforme mouse brain tumor model. Early detection of apoptotic response to oncolytic virotherapy, characterized by decreased cytosolic pH and protein synthesis, was observed in agreement with histology. Clinical translation was demonstrated in a normal human subject, yielding molecular parameters in good agreement with literature values9. The developed method is directly applicable to a wide range of pathologies, including stroke10, cancer11-13, and neurological disorders14, 15.

biophysics

Human DND1-RRM2 forms a non-canonical domain-swapped dimer

Human DND1 (Dead end protein homolog1) is an RNA binding protein. DND1 plays pivotal role in animal development and has been implicated in cancer. DND1 consists of two RNA recognition motifs (RRMs) in tandem and a double stranded RNA binding domain at the C terminal separated by 40 residues flexible linker. The conserved RNP site in the RRM1 domain helps in specific RNA recognition while the RNP sites in RRM2 are not well conserved. DND1 has been reported to be involved in inhibition of microRNA access to target mRNA and it also associate with CCR4-NOT complex that targets mRNA. In order to understand this intriguing contrasting molecular function, we have determined the 2.3 [A] resolution crystal structure of the human DND1 RRM2 domain. The structure revealed an interesting non-canonical RRM fold that is maintained by the formation of a domain swapped dimer between {beta}1 and {beta}4 strands across two chains. The domain swapping is attributed by a hinge loop between 2 and {beta}4 that helps in mediating a domain swap forming anti-parallel {beta} sheets. We have delineated the structural basis of stable dimer formation using the residue level dynamics of protein explored by NMR spectroscopy and MD simulations. Our structural and dynamics studies demonstrate the molecular basis for the dimerization of the RRM2 domain and shed light on the possibility for this motif for interaction with other proteins which helps in transcription regulation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/978023v1_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@4975d2org.highwire.dtl.DTLVardef@d65418org.highwire.dtl.DTLVardef@12b0272org.highwire.dtl.DTLVardef@ada8b7_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIFirst report of a domain swapped dimer formation by an RRM identified through crystal structure determination of the human DND1 RRM2 domain. C_LIO_LIRRM2 exhibit domain swapped dimerization attributed by hinge loop and disulfide bond formation. C_LIO_LIDimer formation is under redox regulation. C_LIO_LIMajor determinants of swapping were identified. C_LIO_LIDND1 RRM2 is not involved in RNA recognition. C_LI

biophysics

FliI6-FliJ molecular motor assists with unfolding in the type III secretion export apparatus

The role of rotational molecular motors of the ATP synthase class is integral to the metabolism of cells. Yet the function of FliI6-FliJ complex - a homolog of the F1 ATPase motor - within the flagellar export apparatus remains unclear. We use a simple two-state model adapted from studies of linear molecular motors to identify key features of this motor. The two states are the locked ground state where the FliJ coiled coil filament experiences fluctuations in an asymmetric torsional potential, and a free excited state in which FliJ undergoes rotational diffusion. Michaelis-Menten kinetics was used to treat transitions between these two states, and obtain the average angular velocity of the FliJ filament within the FliI6 stator:{omega} max {approx} 9.0 rps. The motor was then studied under external counter torque conditions in order to ascertain its maximal power output: Pmax {approx} 42 kBT/s, and the stall torque: Gstall {approx} 3 kBT/rad. Two modes of action within the flagellar export apparatus are proposed, in which the motor performs useful work either by continuously grinding through the resistive environment, or by exerting equal and opposite stall force on it. In both cases, the resistance is provided by flagellin subunits entering the flagellar export channel prior to their unfolding. We therefore propose that the function of the FliI6-FliJ complex is to lower the energy barrier and therefore assist in unfolding of the flagellar proteins before feeding them into the transport channel.

biophysics

Mesophilic enzyme function at high temperature: moleculardynamics of hyperthermophilic and mesophilicpyrophosphatases

The mesophilic inorganic pyrophosphatase from Escherichia coli (EcPPase) retains function at 353 K, the physiological temperature of hyperthermophilic Thermoccoccus thioreducens, whereas, the homolog protein from the hyperthermophilic organism (TtPPase) cannot function at room temperature. To explain this asymmetric behavior, we examined structural and dynamical properties of the two proteins using molecular dynamics simulations. The global flexibility of TtPPase is significantly higher than its mesophilic homolog at all tested temperature/pressure conditions. However, at 353 K, EcPPase reduces its solvent-exposed surface area and increases subunit compaction while maintaining flexibility in its catalytic pocket. In contrast, TtPPase lacks this adaptability and has increased rigidity and reduced protein:water interactions in its catalytic pocket at room temperature, providing a plausible explanation for its inactivity near room temperature.

biophysics

GTP-dependent formation of straight oligomers leads to nucleation of microtubules

Microtubule (MT) nucleation is essential for cellular activities, but its mechanism is not known because of the difficulty involved in capturing rare stochastic events in the early stage of polymerization. In cells, MTs are nucleated at tubulin concentrations significantly lower than those required for spontaneous nucleation in vitro. The high efficiency of nucleation is due to the synergistic effects of various cellular factors, but the underlying mechanism has not been clarified yet. Here, combining negative stain electron microscopy and kinetic analysis, we demonstrate that the formation of single-stranded straight oligomers with critical size is essential for nucleation in vitro. While the single-stranded oligomers of GTP-tubulin that form prior to MT nucleation show variable curvatures including a few straight oligomers, only curved oligomers are observed among the GDP-bound counterparts. The Y222F mutation in {beta}-tubulin increases the proportion of straight oligomers and drastically accelerates MT nucleation. Our results support a model in which GTP binding causes a small shift in the distribution of oligomer curvature, generating a minor population of straight oligomers compatible with lateral association and further growth to MTs. Our study suggests that cellular factors involved in nucleation promote it via stabilization of straight oligomers.

biophysics

Mechanosensing through direct binding of tensed F-actin by LIM domains

Mechanical signals transmitted through the cytoplasmic actin cytoskeleton must be relayed to the nucleus to control gene expression. LIM domains are protein-protein interaction modules found in cytoskeletal proteins and transcriptional regulators; however, it is unclear if there is a direct link between these two functions. Here we identify three LIM protein families (zyxin, paxillin, and FHL) whose members preferentially localize to the actin cytoskeleton in mechanically-stimulated cells through their tandem LIM domains. A minimal actin-myosin reconstitution system reveals that representatives of all three families directly bind F-actin only in the presence of mechanical force. Point mutations at a site conserved in each LIM domain of these proteins selectively disrupt tensed F-actin binding in vitro and cytoskeletal localization in cells, demonstrating a common, avidity-based mechanism. Finally, we find that binding to tensed F-actin in the cytoplasm excludes the cancer-associated transcriptional co-activator FHL2 from the nucleus in stiff microenvironments. This establishes direct force-activated F-actin binding by FHL2 as a mechanosensing mechanism. Our studies suggest that force-dependent sequestration of LIM proteins on the actin cytoskeleton could be a general mechanism for controlling nuclear localization to effect mechanical signaling.

biophysics