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Results for “Biophysics”

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bioRxiv2020

Tumor susceptibility gene-101 regulates glucocorticoid receptor through disorder-mediated allostery

Tumor Susceptibility Gene-101 (TSG101) is involved in endosomal maturation and has been implicated in the transcriptional regulation of several steroid hormone receptors (SHRs), although a detailed characterization of such regulation has yet to be conducted. Here we directly measure binding of TSG101 to one SHR, glucocorticoid receptor (GR). Using biophysical and cellular assays, we show that the coiled-coil domain of TSG101; 1) binds and folds the disordered N-terminal domain (NTD) of GR, 2) upon binding, improves DNA-binding of GR in vitro, and 3) enhances the transcriptional activity of GR in vivo. Our findings suggest that TSG101 is a bona fide transcriptional co-regulator of GR.

biophysics↗

bioRxiv2020

Integrating smFRET, SAXS and NMR data to infer structural ensembles of an intrinsically-disordered protein

Intrinsically disordered proteins (IDPs) have fluctuating heterogeneous conformations, which makes structural characterization challenging, but of great interest, since their conformational ensembles are the link between their sequences and functions. An accurate description of IDP conformational ensembles depends crucially on the amount and quality of the experimental data, how it is integrated, and if it supports a consistent structural picture. We have used an integrative modelling approach to understand how conformational restraints imposed by the most common structural techniques for IDPs: Nuclear Magnetic Resonance (NMR) spectroscopy, Small-angle X-ray Scattering (SAXS), and single-molecule Forster Resonance Energy Transfer (smFRET) reach concordance on structural ensembles for Sic1 and phosphorylated Sic1 (pSic1). To resolve apparent discrepancies between smFRET and SAXS, we integrated SAXS data with non-smFRET (NMR) data and reserved the new smFRET data for Sic1 and pSic1 as an independent validation. The consistency of the SAXS/NMR restrained ensembles with smFRET, which was not guaranteed a priori, indicates that the perturbative effects of NMR or smFRET labels on the Sic1 and pSic1 ensembles are minimal. Furthermore, the mutual agreement with such a diverse set of experimental data suggest that details of the generated ensembles can now be examined with a high degree of confidence to reveal distinguishing features of Sic1 vs. pSic1. From the experimentally well supported ensembles, we find they are consistent with independent biophysical models of Sic1s ultrasensitive binding to its partner Cdc4. Our results underscore the importance of integrative modelling in calculating and drawing biological conclusions from IDP conformational ensembles.

biophysics↗

bioRxiv2020

Annexin A4 trimers are recruited by high membrane curvatures in Giant Plasma Membrane Vesicles

The plasma membrane of eukaryotic cells consists of a crowded environment comprised of a high diversity of proteins in a complex lipid matrix. The lateral organization of membrane proteins in the plasma membrane (PM) is closely correlated with biological functions such as endocytosis, membrane budding and other processes which involve protein mediated shaping of the membrane into highly curved structures. Annexin A4 (ANXA4) is a prominent player in a number of biological functions including plasma membrane repair. Its binding to membranes is activated by Ca2+ influx and it is therefore rapidly recruited to the cell surface near rupture sites where Ca2+ influx takes place. However, the free edges near rupture sites can easily bend into complex curvatures and hence may accelerate recruitment of curvature sensing proteins to facilitate rapid membrane repair. To analyze the curvature sensing behavior of curvature inducing proteins in crowded membranes, we quantifify the affinity of ANXA4 monomers and trimers for high membrane curvatures by extracting membrane nanotubes from giant plasma membrane vesicles (GPMVs). ANXA4 is found to be a sensor of negative membrane curvatures. Multiscale simulations furthermore predicted that ANXA4 trimers generate membrane curvature upon binding and have an affinity for highly curved membrane regions only within a well defined membrane curvature window. Our results indicate that curvature sensing and mobility of ANXA4 depend on the trimer structure of ANXA4 which could provide new biophysical insight into the role of ANXA4 in membrane repair and other biological processes.

biophysics↗

bioRxiv2020

Biased localization of actin binding proteins by actin filament conformation

The assembly of actin filaments into distinct cytoskeletal structures plays a critical role in cell physiology, but how proteins localize differentially to these structures within a shared cytoplasm remains unclear. Here, we show that the actin-binding domains of accessory proteins can be sensitive to filament conformational changes. Using a combination of live cell imaging and in vitro single molecule binding measurements, we show that tandem calponin homology domains (CH1-CH2) can be mutated to preferentially bind actin networks at the front or rear of motile cells, and we demonstrate that the affinity of CH1-CH2 domain mutants varies as actin filament conformation is altered by perturbations that include stabilizing drugs, physical constraints, and other binding proteins. These findings suggest that conformational heterogeneity of actin filaments in cells could help to direct accessory binding proteins to different actin cytoskeletal structures through a biophysical feedback loop.

biophysics↗

bioRxiv2020

Sperm migration in the genital tract - in silico experiments identify key factors for reproductive success

Sperm migration in the female genital tract controls sperm selection and, therefore, reproductive success as male gametes are conditioned for fertilization while their number is dramatically reduced. Mechanisms underlying sperm migration are mostly unknown, since in vivo investigations are mostly unfeasible for ethical or practical reasons. By presenting a spatio-temporal model of the mammalian female genital tract combined with agent-based description of sperm motion and interaction as well as parameterizing it with bovine data, we offer an alternative possibility for studying sperm migration in silico. The model incorporates genital tract geometry as well as biophysical principles of sperm motion observed in vitro such as positive rheotaxis and thigmotaxis. This model for sperm migration from vagina to oviducts was successfully tested against in vivo data from literature. We found that physical sperm characteristics such as velocity and directional stability as well as sperm-fluid interactions and wall alignment are critical for success, i.e. sperms reaching the oviducts. Therefore, we propose that these identified sperm parameters should be considered in detail for conditioning sperm in artificial selection procedures since the natural processes are normally bypassed in reproductive in vitro technologies. The tremendous impact of mucus flow to support sperm accumulation in the oviduct highlights the importance of a species-specific optimum time window for artificial insemination regarding ovulation. Predictions from our extendable in silico experimental system will improve assisted reproduction in humans, endangered species, and livestock.

biophysics↗

bioRxiv2020

Rapid Fractionation and Characterisation of Alpha-Synuclein Oligomers in Solution

Oligomeric intermediates are implicated as neurotoxins in the pathogenesis of protein mis-folding diseases. Structural, biophysical and biochemical characterisation of these species is challenging due to their heterogeneous and transient nature, and their typically low abun-dance. Here, we show that microfluidic free-flow electrophoresis is capable of separating heterogeneous oligomer mixtures on a timescale of seconds, at least two orders of magnitude faster than conventional techniques. This enables analysis of oligomer structural heterogeneity, zeta-potential and immunochemistry with minimal sample perturbation under physiologically-relevant conditions.

biophysics↗

bioRxiv2020

Lamin A redistribution mediated by nuclear deformation determines dynamic localization of YAP

YAP is a key mechanotransduction protein with essential roles in diverse physiological processes. Dysregulation in YAP activity is associated with multiple diseases such as atherosclerosis, fibrosis, and cancer progression. Here we examine the physical stimuli that regulate dynamic YAP translocation to the nucleus. Through a combination of biophysical studies, we demonstrate that YAP localization is insensitive to cell substrate stiffness, but strongly determined by cellular contractile work, which in turn deforms the nucleus. We show that nuclear deformation from LINC-mediated cytoskeletal contractility or extracellular osmotic forces triggers YAP nuclear localization. By modulating the expression of lamin A and nuclear stiffness, we illustrate that nuclear rigidity modulates deformation-mediated YAP nuclear localization. Finally, we show that nuclear deformation causes relocalization of lamin A from the nuclear membrane to the nucleoplasm, and this is essential in allowing YAP to enter the nucleus. These results reveal key physical nuclear deformation mechanics that drive YAP nuclear import.

biophysics↗

bioRxiv2020

Optical trapping of nucleolus reveals viscoelastic properties of nucleoplasm inside mouse germinal vesicle oocytes

We propose a technique of controlled manipulation with mammalian intracellular bodies by means of optical trapping in order to reveal viscoelastic properties of cell interior. Near infrared laser in the spectral range of tissue transparency was applied to study dynamics of the nucleolus-chromatin complex inside the thermodynamically non-equilibrium system of a mouse oocyte. A nucleolus of germinal vesicle (GV) oocyte as spherical probe was displaced from the equilibrium and its relaxation dynamics was observed. We developed software for subdiffraction tracking of a nucleolus position with lateral resolution up to 3 nm and applied it for different GV-oocyte chromatin configurations. We showed differences in viscoelastic properties within nucleoplasm of NSN-oocytes, visualized by Hoechst 33342 staining. Also, we demonstrate that in germ cells basic biophysical properties of nucleoplasm can be obtained by using optical trapping without disruption and modification of cellular interior.

biophysics↗

bioRxiv2020

Conformational states of the cytoprotective protein Bcl-xL

Bcl-xL is a major inhibitor of apoptosis, a fundamental homeostatic process of programmed cell death that is highly conserved across evolution. Because it plays prominent roles in cancer, Bcl-xL is a major target for anti-cancer therapy and for studies aimed at understanding its structure and activity. While Bcl-xL is active primarily at intracellular membranes, most studies have focused on soluble forms of the protein lacking both the membrane-anchoring C-terminal tail and the intrinsically disordered loop, and this has resulted in a fragmented view of the proteins biological activity. Here we describe how these segments affect the proteins conformation and ligand binding activity in both its soluble and membrane-anchored states. The combined data from nuclear magnetic resonance (NMR) spectroscopy, molecular dynamics (MD) simulations, and isothermal titration calorimetry (ITC) provide information about the molecular basis for the proteins functionality and a view of its complex molecular mechanisms. SIGNIFICANCEThe human protein Bcl-xL is a key regulator of programmed cell death in health and disease. Structural studies, important for understating the molecular basis for its functions, have advanced primarily by deleting both the long disordered loop that regulates its activity and the C-terminal tail that anchors the protein to intracellular membranes Here we describe the preparation and conformations of full-length Bcl-xL in both its water-soluble and membrane-anchored states. The study provides new biophysical insights about Bcl-xL and its greater Bcl-2 protein family.

biophysics↗

bioRxiv2020

Structural influence of the conserved Hsp40 HPD tripeptide on Hsp70 chaperone function

The control of Hsp70 functions has been related to the modulation of ATP hydrolysis and substrate capture by Hsp40. Structural and biophysical analyses of Hsp40 variants and their interactions with Hsp70 have identified key residues for this functional control mechanism. Conserved residues in both Hsp40 and Hsp70 have revealed conserved interactions that link Hsp40 binding to the catalytic residues within Hsp70. The current work investigates the effect of documented J-domain dysfunctional mutations (i.e. D35N, H33Q) on the described interaction linkage. Molecular dynamics simulations were used to compare the persistence of individual bond types (i.e. H-bonds, salt bridges, hydrophobic interactions) between Hsp70 and the bound forms of functional and dysfunctional Hsp40 variants. The generated data suggests the involvement of both direct and allosteric effects for the tested mutations. The observed changes relate mutations in the conserved HPD tripeptide of Hsp40 to alterations in the interaction network that induces Hsp70 chaperone functions. STATEMENT OF SIGNIFICANCEThe significance of the work may be summarized as follows. First, the interaction network for the simulated systems were observed to be different from one previously proposed for a disulfide linked complex (9). This may be attributed to altered residue movement and interactions without the restrictions set by the disulfide link. These results support the use of in silico methods to refine investigations of molecular contacts, particularly for systems, whose in vitro structural elucidation are difficult to achieve without modifications. Second, key interactions for intermolecular and intramolecular contacts were observed within a short simulation time (0.1 ns) matched those from much longer runs (500 ns) (4). This result highlights the possibility of identifying key interactions with relatively low computational cost.

biophysics↗

bioRxiv2020

Molecular recognition and dynamics of linear poly-ubiquitins: integrating coarse-grain simulations and experiments

Poly-ubiquitin chains are flexible multidomain proteins, whose conformational dynamics enable their molecular recognition by a large number of partners in multiple biological pathways. By using alternative linkage, it is possible to obtain poly-ubiquitin molecules with different dynamical properties. This flexibility is further increased by the possibility to tune the length of poly-ubiquitin chains. Characterizing the dynamics of poly-ubiquitins as a function of their length is thus relevant to understand their biology. Structural characterization of poly-ubiquitin conformational dynamics is challenging both experimentally and computationally due to increasing system size and conformational variability. Here, by developing highly efficient and accurate small-angle X-ray scattering driven Martini coarse-grain simulations, we characterize the dynamics of linear M1-linked di-, tri- and tetra-ubiquitin chains. Our data show that the behavior of the di-ubiquitin subunits is independent of the presence of additional ubiquitin modules. We propose that the conformational space sampled by linear poly-ubiquitins, in general, may follow a simple self-avoiding polymer model. These results, combined with experimental data from small angle X-ray scattering, biophysical techniques and additional simulations show that binding of NEMO, a central regulator in the NF-{kappa}B pathway, to linear poly-ubiquitin obeys a 2:1 (NEMO:poly-ubiquitin) stoichiometry in solution, even in the context of four ubiquitin units. Eventually, we show how the conformational properties of long poly-ubiquitins may modulate the binding with their partners in a length-dependent manner. SignificanceProtein conformational dynamics plays an essential role in molecular recognition mechanisms. The characterization of conformational dynamics is hampered by the conformational averaging of observable in experimental structural biology techniques and by the limitations in the accuracy of computational methods. By developing an efficient and accurate approach to combine small-angle X-ray scattering solution experiments and coarse-grain Martini simulations, we show that the conformational dynamics of linear poly-ubiquitins can be efficiently determined and to rationalize the role of poly-ubiquitin dynamic in the molecular recognition of the UBAN domain upon binding to the signaling regulator NEMO. The analysis of the conformational ensembles allows us to propose a general model of the dynamics of linear poly-ubiquitin chains where they can be described as a self-avoiding polymer with a characteristic length associated with their specific linkage.

biophysics↗

bioRxiv2020

Actin in Dendritic Spines Self-Organizes into a Critical State

It is known that dendritic spines change their size and shape spontaneously and sometimes to a large degree, but the function of this remains unclear. Here, we quantify these changes using time-series analysis of confocal data and demonstrate that spine size can follow different autoregressive integrated moving average (ARIMA) models and that shape- and size-changes are not correlated. We capture this behavior with a biophysical model, based on the spines actin dynamics, and find the presence of 1/f noise. When investigating its origins, the model predicts that actin in the dendritic spines self-organizes into a critical state, which creates a fine balance between static actin filaments and free monomers. We speculate that such a balance might be functionally beneficially to allow a spine to quickly reconfigure itself after LTP induction.

biophysics↗

bioRxiv2020

Molecular dynamics simulations of protein aggregation: protocols for simulation setup and analysis with Markov state models and transition networks

Protein disorder and aggregation play significant roles in the pathogenesis of numerous neuro-degenerative diseases, such as Alzheimers and Parkinsons disease. The end products of the aggregation process in these diseases are {beta}-sheet rich amyloid fibrils. Though in most cases small, soluble oligomers formed during amyloid aggregation are the toxic species. A full understanding of the physicochemical forces behind the protein aggregation process is required if one aims to reveal the molecular basis of the various amyloid diseases. Among a multitude of biophysical and biochemical techniques that are employed for studying protein aggregation, molecular dynamics (MD) simulations at the atomic level provide the highest temporal and spatial resolution of this process, capturing key steps during the formation of amyloid oligomers. Here we provide a step-by-step guide for setting up, running, and analyzing MD simulations of aggregating peptides using GROMACS. For the analysis we provide the scripts that were developed in our lab, which allow to determine the oligomer size and inter-peptide contacts that drive the aggregation process. Moreover, we explain and provide the tools to derive Markov state models and transition networks from MD data of peptide aggregation.

biophysics↗

bioRxiv2020

Tumor invasion as non-equilibrium phase separation

Tumor invasion depends upon properties of both cells and of the extracellular matrix (ECM). Despite ample evidence that cancer cells can modulate their material state during invasion, underlying biophysical mechanisms remain unclear. Here, we show the potential for coexistence of - and transition between - solid-like, fluid-like, and gas-like phases in invading breast cancer spheroids. Epithelial spheroids are nearly jammed and solid-like in the core but unjam at the periphery to invade as a fluid-like collective. Conversely, post-metastatic spheroids are unjammed and fluid-like in the core and - depending on ECM density - can further unjam and invade as gas-like single cells, or re-jam to invade as a fluid-like collective. A novel jamming phase diagram predicts material phases that are superficially similar to inanimate systems at thermodynamic equilibrium, but here arising in living systems, which exist far from equilibrium. We suggest that non-equilibrium phase separation may provide a unifying physical picture of tumor invasion. TWO-SENTENCE SUMMARYUsing tumor spheroids invading into an engineered three-dimensional matrix, we show here that the cellular collective exhibits coexistent solid-like, fluid-like, and gas-like phases. The spheroid interior develops spatial and temporal heterogeneities in material phase which, depending upon cell type and matrix density, ultimately result in a variety of phase separation patterns at the invasive front, as captured by a jamming phase diagram.

biophysics↗

bioRxiv2020

All-Atom Simulation of the HET-s Prion Replication

Prions are self-replicative protein particles lacking nucleic acids. Originally discovered for causing infectious neurodegenerative disorders, they have also been found to play several physiological roles in a variety of species. Functional and pathogenic prions share a common mechanism of replication, characterized by the ability of an amyloid conformer to propagate by inducing the conversion of its physiological, soluble counterpart. In this work, we focus on the propagation of the prion forming domain of HET-s, a physiological fungal prion for which high-resolution structural data are available. Since time-resolved biophysical experiments cannot yield a full reconstruction of prion replication, we resort to computational methods. To overcome the computational limitations of plain Molecular Dynamics (MD) simulations, we adopt a special type of biased dynamics called ratchet-and-pawl MD (rMD). The accuracy of this enhanced path sampling protocol strongly depends on the choice of the collective variable (CV) used to define the biasing force. Since for prion propagation a reliable reaction coordinate (RC) is not yet available, we resort to the recently developed Self-Consistent Path Sampling (SCPS). Indeed, in such an approach the CV where the biasing force is applied is not heuristically postulated but is calculated through an iterative refinement procedure. Our atomistic reconstruction of the HET-s replication shows remarkable similarities with a previously reported mechanism of mammalian PrPSc propagation obtained with a different computational protocol. Together, these results indicate that the propagation of prions generated by evolutionary distant proteins shares common features. In particular, in both these cases, prions propagate their conformation through a very similar templating mechanism.

biophysics↗

bioRxiv2020

Mechanical dysfunction induced by a hypertrophic cardiomyopathy mutation is the primary driver of cellular adaptation

Familial hypertrophic cardiomyopathy (HCM), a leading cause of sudden cardiac death, is primarily caused by mutations in sarcomeric proteins. The pathogenesis of HCM is complex, with functional changes that span scales from molecules to tissues. This makes it challenging to deconvolve the biophysical molecular defect that drives the disease pathogenesis from downstream changes in cellular function. Here, we examined a HCM mutation in troponin T, R92Q. We demonstrate that the primary molecular insult driving the disease pathogenesis is mutation-induced alterations in tropomyosin positioning, which causes increased molecular and cellular force generation during calcium-based activation. We demonstrate computationally that these increases in force are direct consequences of the initial molecular insult. This altered cellular contractility causes downstream alterations in gene expression, calcium handling, and electrophysiology. Taken together, our results demonstrate that molecularly driven changes in mechanical tension drive the early disease pathogenesis, leading to activation of adaptive mechanobiological signaling pathways.

biophysics↗

bioRxiv2020

Breakage of Hydrophobic Contacts Limits the Rate of Passive Lipid Exchange Between Membranes

The maintenance of heterogeneous lipid compositions among cellular membranes is key to biological function. Yet, even the simplest process that could be responsible for maintaining proper lipid distributions, passive lipid exchange of individual molecules between membranes, has eluded a detailed understanding, due in part to inconsistencies between experimental findings and molecular simulations. We resolve these discrepancies by discovering the reaction coordinate for passive lipid exchange, which enables a complete biophysical characterization of the rate limiting step for lipid exchange. Our approach to identify the reaction coordinate capitalizes on our ability to harvest over 1,000 unbiased trajectories of lipid insertion, an elementary step of passive lipid transport, using all-atom and coarse-grained molecular dynamics simulations. We find that the reaction coordinate measures the formation and breakage of hydrophobic contacts between the membrane and exchanging lipid. Consistent with experiments, free energy profiles as a function of our reaction coordinate exhibit a substantial barrier for insertion. In contrast, lipid insertion was predicted to be a barrier-less process by previous computational studies, which incorrectly presumed the reaction coordinate to be the displacement of the exchanging lipid from the membrane. Utilizing our newfound knowledge of the reaction coordinate, we formulate an expression for the lipid exchange rate to enable a quantitative comparison with experiments. Overall, our results indicate that the breakage of hydrophobic contacts is rate limiting for passive lipid exchange and provide a foundation to understand the catalytic function of lipid transfer proteins.

biophysics↗

bioRxiv2020

Cell-extracellular matrix interactions in the fluidic phase direct the topology and polarity of self-organized epithelial structures

In vivo, cells are surrounded by extracellular matrix (ECM). To build organs from single cells, it is generally believed that ECM serves as scaffolds to coordinate cell positioning and differentiation. Nevertheless, how cells utilize cell-ECM interactions for the spatiotemporal coordination to different ECM at the tissue scale is not fully understood. Here, using in vitro assay with engineered MDCK cells expressing H2B-mCherry (nucleus) and gp135/Podocalyxin-GFP (apical marker), we show in multi-dimensions that such coordination for epithelial morphogenesis can be determined by cell-soluble ECM interaction in the fluidic phase. The coordination depends on the native topology of ECM components such as sheet-like basement membrane (BM) and type I collagen (COL) fibers: scaffold formed by BM (COL) facilitates a close-ended (open-ended) coordination that leads to the formation of lobular (tubular) epithelium. Further, cells form apicobasal polarity throughout the entire lobule/tubule without a complete coverage of ECM at the basal side, and time-lapse two-photon scanning imaging reveals the polarization occurring early and maintained through the lobular expansion. During polarization, gp135-GFP was converged to the apical surface collectively in the lobular/tubular structures, suggesting possible intercellular communications. Under suspension culture, the polarization was impaired with multi-lumen formation in the tubules, implying the importance of ECM biomechanical microenvironment. Our results suggest a biophysical mechanism for cells to form polarity and coordinate positioning at tissue scale, and in engineering epithelium through cell-soluble ECM interaction and self-assembly.

biophysics↗