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 Read source abstracts and check manuscript versions; preprints are not peer reviewed.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 1,657 records · Page 92Linked to original sources

bioRxiv2020

New functional identity of the essential inner membrane protein YejM: the cardiolipin translocator is also a metalloenzyme

Recent recurrent outbreaks of Gram-negative bacteria show the critical need to target essential bacterial mechanisms to fight the increase of antibiotic resistance. Pathogenic Gram-negative bacteria have developed several strategies to protect themselves against the host immune response and antibiotics. One strategy is to remodel the outer membrane where several genes are involved. yejM was discovered as an essential gene in E. coli and S. typhimurium that plays a critical role in their virulence by changing the outer membrane permeability by translocating and increasing the cardiolipin lipid concentration. How the inner membrane protein YejM with its periplasmic domain acts as a cardiolipin translocator remains unknown. Despite overwhelming structural similarity of the periplasmic domains of two YejM homologues with hydrolases like arylsulfatases, no enzymatic activity has been reported for YejM. Our studies reveal an intact active site with bound metal ions in the structure of YejM periplasmic domain. Furthermore, we show that YejM has a phosphatase activity that is dependent on the presence of magnesium ions and is linked to its cardiolipin translocation properties. Understanding the molecular mechanism by which YejM is involved in OM remodeling will help to identify a new drug target in the fight against the increased antibiotic resistance.

biophysics↗

bioRxiv2020

Refinement of protein structure via contact based potentials in replica exchange simulations

Proteins are complex biomolecules which perform critical tasks in living organisms. Knowledge of a proteins structure is essential for understanding its physiological function in detail. Despite the incredible progress in experimental techniques, protein structure determination is still expensive, time-consuming, and arduous. That is why computer simulations are often used to complement or interpret experimental data. Here, we explore how in silico protein structure determination based on replica exchange molecular dynamics can benefit from including contact information derived from theoretical and experimental sources, such as direct coupling analysis or NMR spectroscopy. To reflect the influence from erroneous and noisy data we probe how false-positive contacts influence the simulated ensemble. Specifically, we integrate varying numbers of randomly selected native and non-native contacts and explore how such a bias can guide simulations towards the native state. We investigate the number of contacts needed for a significant enrichment of native-like conformations and show the capabilities and limitations of this method. Adhering to a threshold of approximately 75% true-positive contacts within a simulation, we obtain an ensemble with native-like conformations of high quality. We find that contact-guided REX MD is capable of delivering physically reasonable models of a proteins structure. Author summaryProtein structure prediction, that is obtaining a protein structure starting from a sequence using any computational method, is a great challenge. Over the past years a broad variety of methods evolved, ranging from algorithms for "blind" or de novo predictions using Monte-Carlo or physics-based biomolecular simulation methods to algorithms transferring structure information obtained from known homologous proteins. Recently, purely data-driven approaches using neural networks have shown to be capable of predicting high-quality structures. However, some local structural motifs are only poorly resolved and need further refinement. Here, we explore to what extent contact information helps guiding replica exchange molecular dynamics towards the native fold. By adding a contact pair bias potential to the energy function, we effectively guide the search towards the target structure by narrowing the conformational space to be sampled. We find that such an energetic bias, even if containing false-positive contacts to a certain extent, greatly enhances the refinement process and improves the chance of finding the native state in a single run.

biophysics↗

bioRxiv2020

Buffering and total calcium levels determine the presence of oscillatory regimes in cardiac cells

Calcium oscillations and waves are often behind instances of extra depolarization in cardiac cells, eventually giving rise to life-threatening arrhythmias. In this work, we study the conditions for the appearance of calcium oscillations in both a detailed subcellular model of calcium dynamics and a minimal model that takes into account just the minimal ingredients of the calcium toolkit. To avoid the effects of homeostatic changes and the interaction with the action potential we consider the somewhat artificial condition of a cell without pacing and with no calcium exchange with the extracellular medium. This permits us to isolate the main reasons responsible for the oscillations by controlling externally the total calcium content of the cell. We find that as the calcium content is increased, the system transitions between two stationary states, corresponding to one with closed ryanodine receptors (RyR) and most calcium in the cell stored in the sarcoplasmic reticulum (SR), and another, with open RyRs and a depleted SR. In between these states, calcium oscillations may appear. This transition depends very sensitively in the amount of buffering in the cell. We find, for instance, that at high values of calsequestrin (CSQ) oscillations disappear, while they are present for a broad range of parameters at low values of CSQ. Using the minimal model, we can relate the stability of the oscillating state to the nullcline structure of the system, and find that its range of existence is bounded by a homoclinic and a Hopf bifurcation. Author summaryIn cardiac cells, calcium plays a very important role. An increase in calcium levels is the trigger used by the cell to initiate contraction. Besides, calcium modulates several transmembrane currents, affecting the cell transmembrane potential. Thus, dysregulations in calcium handling have been associated with the appearance of arrhythmias. Often, this dysregulation results in the appearance of periodic calcium waves or global oscillations, providing a pro-arrhythmic substrate. In this paper, we study the onset of calcium oscillations in cardiac cells using both a detailed subcellular model of calcium dynamics and a minimal model that takes into account just the minimal ingredients of the calcium toolkit. Both reproduce the main experimental results and link this behavior with the presence of different steady-state solutions and bifurcations that depend on the total amount of calcium in the cell and in the level of buffering present. We expect that this work will help to clarify the conditions under which calcium oscillations appear in cardiac myocytes and, therefore, will represent a step further in the understanding of the origin of cardiac arrhythmias.

biophysics↗

bioRxiv2020

Coordination between E. coli Cell Size and Cell Cycle Mediated by DnaA

Sixty years ago, bacterial cell size was found as an exponential function of growth rate. Fifty years ago, a more general relationship was proposed, in which the cell mass was equal to the initiation mass multiplied by the ratio of the total time of the C and D periods to the doubling time. This relationship has recently been experimentally confirmed by perturbing doubling time, C period, D period or the initiation mass. However, the underlying molecular mechanism remains unclear. Here, we developed a mechanistic and kinetic model to describe how the initiator protein DnaA mediates the initiation of DNA replication in E. coli. In the model, we introduced an initiation probability function involving competitive binding of DnaA-ATP (active) and DnaA-ADP (inactive) at replication origin to determine the initiation of replication. In addition, we considered RNAP availability, ppGpp inhibition, DnaA autorepression, DnaA titration by chromosomal sites, hydrolysis of DnaA-ATP along with DNA replication, reactivation of DnaA-ADP and established a kinetic description of these DnaA regulatory processes. We simulated DnaA kinetics and obtained a self-consistent cell size and a regular DnaA oscillation coordinated with the cell cycle at steady state. The relationship between the cell size obtained by the simulation and the growth rate, C period, D period or initiation mass reproduces the results of the experiment. This model also predicts how the number of DnaA and the initiation mass vary with the perturbation parameters (including those reflecting the mutation or interference of DnaA regulatory processes), which is comparable to experimental data. The results suggest that the regulatory mechanisms of DnaA level and activity are associated with the invariance of initiation mass and the cell size general relationship for matching frequencies of replication initiation and cell division. This study may provide clues for concerted control of cell size and cell cycle in synthetic biology.

biophysics↗

bioRxiv2020

Optimum Threshold Minimizes Noise in Timing of Intracellular Events

How the noisy expression of regulatory proteins affects timing of intracellular events is an intriguing fundamental problem that influences diverse cellular processes. Here we use the bacteriophage {lambda} to study event timing in individual cells where cell lysis is the result of expression and accumulation of a single protein (holin) in the Escherchia coli cell membrane up to a critical threshold level. Site-directed mutagenesis of the holin gene was used to generate phage variants that vary in their timing of lysis from 30 to 190 min. Observation of the lysis times of single cells reveals an intriguing finding - the noise in lysis timing first decreases with increasing lysis time to reach a minimum, and then sharply increases at longer longer lysis times. A mathematical model with stochastic expression of holin together with dilution from cell growth was sufficient to explain the non-monotonic noise profile, and identify holin accumulation thresholds that generate precision in lysis timing.

biophysics↗

bioRxiv2020

Viral channelrhodopsins: calcium-dependent Na+/K+ selective light-gated channels

Phytoplankton is the base of the marine food chain, oxygen, carbon cycle playing a global role in climate and ecology. Nucleocytoplasmic Large DNA Viruses regulating the dynamics of phytoplankton comprise genes of rhodopsins of two distinct families. We present a function-structure characterization of two homologous proteins representatives of family 1 of viral rhodopsins, OLPVR1 and VirChR1. VirChR1 is a highly selective, Ca2+-dependent, Na+/K+- conducting channel and, in contrast to known cation channelrhodopsins (ChRs), is impermeable to Ca2+ ions. In human neuroblastoma cells, upon illumination, VirChR1 depolarizes the cell membrane to a level sufficient to fire neurons. It suggests its unique optogenetic potential. 1.4 [A] resolution structure of OLPVR1 reveals their remarkable difference from the known channelrhodopsins and a unique ion-conducting pathway. The data suggest that viral channelrhodopsins mediate phototaxis of algae enhancing the host anabolic processes to support virus reproduction, and therefore, their key role in global phytoplankton dynamics.

biophysics↗

bioRxiv2020

Revealing Atomic-scale Molecular Diffusion of a Plant Transcription Factor WRKY domain protein along DNA

Transcription factor (TF) target search on genome is highly essential for gene expression and regulation. High-resolution determination of TF diffusion along DNA remains technically challenging. Here we constructed a TF model system of the plant WRKY domain protein in complex with DNA from crystallography and demonstrated microsecond diffusion dynamics of WRKY on the DNA employing all-atom molecular dynamics (MD) simulations. Notably, we found that WRKY preferentially binds to the Crick strand of DNA with significantly stronger energetic association than to the Watson strand. The preferential binding becomes highly prominent from non-specific to specific DNA binding, but less distinct from static binding to diffusive movements of WRKY on the DNA. Remarkably, without employing acceleration forces or bias, we captured a complete one-base pair (bp) stepping cycle of WRKY tracking along major groove of DNA with homogenous (AT)n sequence, as individual protein-DNA contacts break and reform at the binding interface. Continuous tracking of WRKY forward or backward, with occasional sliding as well as strand crossing to the minor groove of DNA, have also been captured in the simulation. The processive diffusion of WRKY had been confirmed by accompanied single-molecule fluorescence assays and coarse-grained (CG) structural simulations. The study thus provides unprecedented structural dynamics details on the TF diffusion, suggests how TF possibly approaches to gene target, and supports further high-precision experimental follow-up. The stochastic movements revealed in the TF diffusion also provide general clues on how other nucleic acid walkers step and slide along DNA. Significance StatementHow transcription factors search for target genes impact on how quickly and accurately the genes are transcribed and expressed. To locate target sufficiently fast, 1D diffusion of the protein along DNA appears essential. Experimentally, it remains challenging to determine diffusional steps of protein on DNA. Here, we report all-atom equilibrium simulations of a WRKY protein binding and diffusing on DNA, revealing structural dynamics details which have not been identified previously. We unprecedently demonstrate a complete stepping cycle of the protein for one base pair on DNA within microseconds, along with stochastic stepping or sliding, directional switching, and strand crossing. Additionally, we have found preferential DNA strand association of WRKY. These suggest how protein factors approach toward target DNA sequences.

biophysics↗

bioRxiv2020

Non-negative least squares computation for in vivo myelin mapping using simulated multi-echo spin-echo T2 decay data

Multi-compartment T2-mapping has gained particular relevance for the study of myelin water in brain. As a facilitator of rapid saltatory axonal signal transmission, myelin is a cornerstone indicator of white matter development and function. Regularized non-negative least squares fitting of multi-echo T2 data has been widely employed for the computation of the myelin water fraction (MWF) and the obtained MWF maps have been histopathologically validated. MWF measurements depend upon the quality of the data acquisition, B1+-homogeneity and a range of fitting parameters. In this special issue article, we discuss the relevance of these factors for the accurate computation of multi-compartment T2 and MWF maps. We generated multi-echo spin-echo T2 decay curves following the approach of CarrPurcell-Meiboom-Gill for various myelin concentrations and myelin T2 scenarios by simulating the evolution of the magnetization vector between echoes based on the Bloch equations. We demonstrated that noise and imperfect refocusing flip angles yield systematic underestimations in MWF and intra-/extracellular water geometric mean (gm) T2. MWF estimates were more stable than myelin water gmT2 time across different settings of the T2 analysis. We observed that the lower limit of the T2 distribution grid should be slightly shorter than TE1. Both TE1 and the acquisition echo spacing also have to be sufficiently short to capture the rapidly decaying myelin water T2 signal. Among all parameters of interest, the estimated MWF and intra-/extracellular water gmT2 differed by approximately 0.13-4 percentage points and 3-4 ms, respectively, from the true values, with larger deviations observed in the presence of greater B1+-inhomogeneities and at lower signal-to-noise ratio. Tailoring acquisition strategies may allow to better characterize the T2 distribution, including the myelin water, in vivo.

biophysics↗

bioRxiv2020

2MV/cm Pulsed Electric Fields Promote Transthyretin Amyloid Disintegration

Exposing transthyretin amyloid to 1000 sub-nanosecond 2 MV/cm pulsed electric fields (PEFs) promotes both amyloid disassembly and amyloid-derived transthyretin disintegration. The process produced no change in pH, and the resulting temperature increase was less than 1 {degrees}C. We conclude that PEFs physical effects facilitate amyloid disassembly, rather than thermal or chemical effects, and provoke amyloid-derived transthyretin disintegration, the latter of which is reported here for the first time.

biophysics↗

bioRxiv2020

Allosteric action of nucleotides on Hsp90 across several time- and length scales

I. ABSTRACTSeveral indicators for a signal propagation from a binding site to a distant functional site have been found in the Hsp90 dimer. Here we determined a time-resolved pathway from ATP hydrolysis to changes in a distant folding substrate binding site. This was possible by combining single-molecule fluorescence-based methods with extensive atomistic nonequilibrium molecular dynamics simulations. We find that hydrolysis of one ATP effects a structural asymmetry in the full Hsp90 dimer that leads to the collapse of a central folding substrate binding site. Arg380 is the major mediator in transferring structural information from the nucleotide to the substrate binding site. This allosteric process occurs via hierarchical dynamics that involve timescales from picoto milliseconds and length scales from Ångstroms to several nanometers. We presume that similar hierarchical mechanisms are fundamental for information transfer through many other proteins.Competing Interest StatementThe authors have declared no competing interest.View Full Text

biophysics↗

bioRxiv2020

A novel voltage clamp/dye uptake assay reveals saturable transport of molecules through CALHM1 and connexin channels.

Channels that are permeable to small molecules such as ATP, in addition to atomic ions, are emerging as important regulators in health and disease. Nonetheless, mechanisms of molecular permeation and selectivity of these channels remain mostly unexplored due to the lack of quantitative methodologies. To address this need, we developed a novel two-electrode voltage clamp (TEVC)/dye uptake assay to examine the kinetics of molecular permeation of channels formed by human connexins (hCx), and the calcium homeostasis modulator (hCALHM1). We expressed hCx26, hCx30, and hCALHM1 individually in Xenopus laevis oocytes. To quantify the uptake of small molecular dyes through these channels, we developed a protocol that renders oocytes translucent - thereby amenable to optical detection techniques - without affecting the functional properties of the expressed channels. To control membrane potential and to determine functional channel expression accurately, dye uptake was evaluated in conjunction with TEVC. Using this methodology, we found that: (1) CALHM1 and Cx30 hemichannels display saturable transport of molecules that could be described by Michaelis-Menten kinetics, with apparent KM and Vmax; (2) Kinetic parameters for molecular transport through CALHM1 are sensitive to voltage and extracellular calcium; (3) Significant transport of molecules occurs through CALHM1 when there are little or no ionic currents through the channels; (4) Cx mutations in the N-terminal region significantly affect kinetics of transport and permselectivity. Our results reveal that molecular flux through these channels has a rate-limiting step, that the kinetic parameters of molecular transport are sensitive to modulators of channel gating and that molecular transport and ionic currents can be differentially affected. Our methodology allows the analysis of how human mutations causing diseases affect kinetic properties and permselectivity of molecular signaling and enables the study of molecular mechanisms, including selectivity and saturability, associated with molecular transport in large-pore channels.

biophysics↗

bioRxiv2020

Accelerating Monte Carlo modeling of structured-light based diffuse optical imaging via "photon sharing"

The increasing use of spatially-modulated imaging and single-pixel detection techniques demands computationally efficient methods for light transport modeling. Herein, we report an easy-to-implement yet significantly more efficient Monte Carlo (MC) method for simultaneously simulating spatially modulated illumination and detection patterns accurately in 3-D complex domains. We have implemented this accelerated algorithm, named "photon sharing", in our open-source MC simulators, reporting 13.6x and 5.5x speedups in mesh- and voxel-based MC benchmarks, respectively. In addition, the proposed algorithm is readily used for accelerating the solving of inverse problems in spatially-modulated imaging systems by building Jaco-bians of all illumination-detection pattern pairs concurrently, resulting in a 12.4-fold speed improvement. https://doi.org/10.1101/2020.02.16.951590

biophysics↗

bioRxiv2020

Double-stranded RNA bending by AU-tract sequences

Sequence-dependent structural deformations of the DNA double helix (dsDNA) have been extensively studied, where adenine tracts (A-tracts) provide a striking example for global bending in the molecule. In contrast to dsDNA, much less is known about how the nucleotide sequence affects bending deformations of double-stranded RNA (dsRNA). Using all-atom microsecond long molecular dynamics simulations we found a sequence motif consisting of alternating adenines and uracils, or AU-tracts, that bend the dsRNA helix by locally compressing the major groove. We experimentally tested this prediction using atomic force microscopy (AFM) imaging of long dsRNA molecules containing phased AU-tracts. AFM images revealed a clear intrinsic bend in these AU-tracts molecules, as quantified by a significantly lower persistence length compared to dsRNA molecules of arbitrary sequence. The bent structure of AU-tracts here described might play a role in sequence-specific recognition of dsRNAs by dsRNA-interacting proteins or impact the folding of RNA into intricate tertiary and quaternary structures.

biophysics↗

bioRxiv2020

Cell substrate patterns driven by curvature-sensitive actin polymerization: waves and podosomes.

Cells adhered to an external solid substrate are observed to exhibit rich dynamics of actin structures on the basal membrane, which are distinct from those observed on the dorsal (free) membrane. Here we explore the dynamics of curved membrane proteins, or protein complexes, that recruit actin polymerization when the membrane is confined by the solid substrate. Such curved proteins can induce the spontaneous formation of membrane protrusions on the dorsal side of cells. However, on the basal side of the cells, such protrusions can only extend as far as the solid substrate and this constraint can convert such protrusions into propagating wave-like structures. We also demonstrate that adhesion molecules can stabilize localized protrusions, that resemble some features of podosomes. This coupling of curvature and actin forces may underlie the differences in the observed actin-membrane dynamics between the basal and dorsal sides of adhered cells.

biophysics↗

bioRxiv2020

Visualizing tumour self-homing with magnetic particle imaging

Due to their innate tumour homing capabilities, in recent years, CTCs have been engineered to express therapeutic genes for targeted treatment of primary and metastatic lesions. Additionally, previous studies have incorporated optical or PET imaging reporter genes to enable noninvasive monitoring of therapeutic CTCs in preclinical tumour models. Here, we demonstrate for the first time, the ability of magnetic particle imaging (MPI) to sensitively detect systemically administered iron-labeled CTCs and to visualize tumour self-homing in a murine model of human breast cancer.

biophysics↗

bioRxiv2020

The intriguing dynamics of chromatin folding and assembly

We investigate the dynamics of chromatin folding based on the "strings and binders" (SBS) model with molecular dynamics simulation. SBS model is a coarse-grained model considering a self-avoiding chain interacting with diffusive binders. By introducing transition among different categories of beads with specific transition cycles and transition probabilities, our model is capable of introducing different dynamics quantitatively during the folding process, thus capturing variety of phenomena related to chromatin dynamics. Firstly, roles of dynamics in the process of chromatin folding were examined. We discovered that there is a minimum gyration of chromatin under varying characteristic times of transition which indicates neither dramatically dynamic nor static folding process is optimal for chromatin to reach stable states with relatively low free energy. Secondly, it is noticeable that when beads transit from or into others in distinct dynamics, the equilibrium concentrations are distinct as well. As a consequence, the distribution of chromatin loop length is relevant to the dynamics of binders which can be modified by complex such as Wings apart-like protein homolog (Wapl) and SCC2/SCC4 cohesin loader complex (SCC2/SCC4). Finally, our model is able to reproduce contact matrices of both wild type HAP1 cell and {Delta}WAPL HAP1 cell obtained from Hi-C technology with a relatively high accuracy. Our model recapitulate the accumulating contacts at the corners of TADs and vanishing short-range contacts along the diagonal, manifesting the difference of chromatin structures before and after eliminating WAPL. STATEMENT OF SIGNIFICANCEOur model includes reciprocal transition among beads in SBS model to introduce different dynamics in chromatin folding process. Our model is able to examine the roles of dynamics in chromatin folding, reveal the loop length variation due to the concentration imbalance caused by distinct dynamics and reproduce contact matrices of both wild type and WAPL-deficient cells. Our research work provides a model to investigate the dynamics of chromatin folding quantitatively and displays its significance of revealing multiple experimental results using computational tools.

biophysics↗

bioRxiv2020

Plasmon-Coupled Photocapacitor Neuromodulators

Efficient transduction of optical energy to bioelectrical stimuli is an important goal for effective communication with biological systems. For that plasmonics has significant potential via boosting the light-matter interactions. However, plasmonics has been primarily used for heat-induced cell stimulation due to membrane capacitance change (i.e., optocapacitance). Instead, here we demonstrate that plasmonic coupling to photocapacitor biointerfaces improves safe and efficacious neuromodulating displacement charges for an average of 185% in the entire visible spectrum while maintaining the Faradaic currents below 1%. Hot-electron injection dominantly leads the enhancement of displacement current at blue spectral window, and nanoantenna effect is mainly responsible for the improvement at red-spectral region. The plasmonic photocapacitor facilitates wireless modulation of single cells at 3-orders of magnitude below the maximum retinal intensity levels corresponding to one of the most sensitive optoelectronic neural interfaces. This study introduces a new way of using plasmonics for safe and effective photostimulation of neurons and paves the way toward ultra-sensitive plasmon-assisted neurostimulation devices.

biophysics↗

bioRxiv2020

Comparing the fate of brain metastatic breast cancer cells in different immune compromised mice with cellular magnetic resonance imaging

Metastasis is the leading cause of mortality in breast cancer patients, with brain metastases becoming increasingly prevalent. Studying this disease is challenging due to the limited experimental models and methods available. Here, we used iron-based cellular MRI to track the fate of a mammary carcinoma cell line (MDA-MB-231-BR) in vivo to characterize the growth of brain metastases in the nude and severely immune-compromised NOD/SCID/ILIIrg-/- (NSG) mouse. Nude and NSG mice received injections of iron-labeled MDA-MB-231-BR cells. Images were acquired with a 3T MR system and assessed for signal voids and metastases. The percentage of signal voids and the number and volume of metastases were quantified. Ex vivo imaging of the liver, histology, and immunofluorescence labeling was performed. On day 0, iron-labeled cells were visualized as signal voids throughout the brain. The percentage of voids decreased significantly between day 0 and endpoint. At endpoint, there was no difference in the number of brain metastases or tumour burden in NSG mice compared to nudes. Tumour volumes in nude mice were significantly larger than in NSG mice. Body images indicated that the NSG mice had metastases in the liver, lungs, and lymph nodes. Characterization of the NSG and nude mouse is necessary to study breast cancer brain metastasis in vivo. Here, we show that the 231BR cell line grew differently in NSG mice compared to nude mice. This work demonstrates the role that imaging can play toward credentialing these models that cannot be done with other in vitro or histopathologic methods alone.

biophysics↗