Proteins In Crowded Environments Research Articles

Kinetic Method of Producing Pores Inside Protein-Based Biomaterials without Compromising Their Structural Integrity.

Hydrogels made from globular proteins cross-linked covalently into a stable network are becoming an important type of biomaterial, with applications in artificial tissue design and cell culture scaffolds, and represent a promising system to study the mechanical and biochemical unfolding of proteins in crowded environments. Due to the small size of the globular protein domains, typically 2-5 nm, the primary network allows for a limited transfer of protein molecules and prevents the passing of particles and aggregates with dimensions over 100 nm. Here, we demonstrate a method to produce protein materials with micrometer-sized pores and increased permeability. Our approach relies on forming two competing networks: a covalent network made from cross-linked bovine serum albumin (BSA) proteins via a light-activated reaction and a physical network triggered by the aggregation of a polysaccharide, alginate, in the presence of Ca2+ ions. By fine-tuning the reaction times, we produce porous-protein hydrogels that retain the mechanical characteristics of their less-porous counterparts. We further describe a simple model to investigate the kinetic balance between the nucleation of alginate and cross-linking of BSA molecules and find the upper rate of the alginate aggregation reaction driving pore formation. By enabling a more significant permeability for protein-based materials without compromising their mechanical response, our method opens new vistas into studying protein-protein interactions and cell growth and designing novel affinity methods.

Spectroscopic studies on the stability and nucleation-independent fibrillation of partially-unfolded proteins in crowded environment

Fibril formation of globular proteins is driven by attaining an appropriate partially-unfolded conformation. Excluded volume effect exerted by the presence of other macromolecules in the solution, as found in the cellular interior, might affect the conformational state of proteins and alter their fibril formation process. The change in structure, stability and rate of fibril formation of aggregation-prone partially-unfolded states of lysozyme (Lyz) and α-lactalbumin (ALA) in the presence of different sizes of polyethylene glycol (PEG) is examined using spectroscopic methods. Thermal denaturation and far-UV CD studies suggest that Lyz is stabilized by PEGs and the stability increases with increasing concentration of PEGs. However, the stability of ALA depends on the size and concentration of PEG. The change in enthalpy of unfolding indicates the existence of soft-interactions between the proteins and PEG along with excluded volume effect. Fibrillation rate of Lyz is not significantly altered in the presence of lower concentrations of PEGs suggesting that the crowding effect dominates the viscosity-induced retardation of protein association whereas at higher concentrations the rates are reduced. In case of ALA, the rate of fibrillation is drastically reduced; however, there is a marginal increase with the increasing concentration of PEG. The results suggest that the fibril formation is influenced by change in initial conformation of the partially-unfolded states of the proteins and their stability in the presence of the crowding agent. Further, the size and concentration of the crowding agent, and the soft-interaction between the proteins and PEG also affects the fibrillation.

Depletion interactions modulate the binding between disordered proteins in crowded environments.

Intrinsically disordered proteins (IDPs) abound in cellular regulation. Their interactions are often transitory and highly sensitive to salt concentration and posttranslational modifications. However, little is known about the effect of macromolecular crowding on the interactions of IDPs with their cellular targets. Here, we investigate the influence of crowding on the interaction between two IDPs that fold upon binding, with polyethylene glycol as a crowding agent. Single-molecule spectroscopy allows us to quantify the effects of crowding on a comprehensive set of observables simultaneously: the equilibrium stability of the complex, the association and dissociation kinetics, and the microviscosity, which governs translational diffusion. We show that a quantitative and coherent explanation of all observables is possible within the framework of depletion interactions if the polymeric nature of IDPs and crowders is incorporated based on recent theoretical developments. The resulting integrated framework can also rationalize important functional consequences, for example, that the interaction between the two IDPs is less enhanced by crowding than expected for folded proteins of the same size.

Effect of protein-protein interactions and solvent viscosity on the rotational diffusion of proteins in crowded environments.

The rotational diffusion of a protein in the presence of protein crowder molecules was analyzed via computer simulations. Cluster formation as a result of transient intermolecular contacts was identified as the dominant effect for reduced rotational diffusion upon crowding. The slow-down in diffusion was primarily correlated with direct protein-protein contacts rather than indirect interactions via shared hydration layers. But increased solvent viscosity due to crowding contributed to a lesser extent. Key protein-protein contacts correlated with a slow-down in diffusion involve largely interactions between charged and polar groups suggesting that the surface composition of a given protein and the resulting propensity for forming interactions with surrounding proteins in a crowded cellular environment may be the major determinant of its diffusive properties.

AUC measurements of diffusion coefficients of monoclonal antibodies in the presence of human serum proteins.

The goal of this work is to develop a preclinical method for quantitative hydrodynamic and thermodynamic analysis of therapeutic proteins in crowded environments like human serum. The method utilizes tracer amounts of fluorescently labeled monoclonal antibodies and the Aviv AU-FDS optical system. We have performed sedimentation velocity experiments as a function of mAb, human serum albumin and human IgG concentration to extract self- and cross-term hydrodynamic nonideality effects. SV measurements are consistently complicated by weak mAb-mAb and mAb-IgG interactions (Wright et al. in Anal Biochem 550:72-83, 2018). In an attempt to explore different approaches we have investigated measurements of diffusion coefficients by traditional synthetic boundary experiments. Here we present a new technique incorporated into SEDANAL that can globally analyze the full time course of synthetic boundary experiments. This approach also utilizes F-mAb against a high concentration of unlabeled carrier protein (HSA or IgG). In principle both diffusion and sedimentation coefficient information can be extracted including hydrodynamic and thermodynamic nonideality. The method can be performed at a traditional low speed (5-7Krpm) or at high speeds. The high speed method can also be used to measure D and s for small molecules like fluorescein (often contaminants of F-HSA and F-mAb). The advantage of synthetic boundary over the standard sedimentation velocity method is that it allows for higher precision determination of diffusion coefficients. The concentration dependence of D can be corrected for hydrodynamic nonideality effects by plotting D * (1 + kijcj) vs total carrier concentration. The slope of the fitted data allows an alternate approach to determine self- and cross-term thermodynamic nonideality. This method can also explore cross-term diffusion coefficient effects. These results are compared to dynamic light scattering approaches which are limited to kD determinations for solutions of pure protein.

AUC Sedimentation Velocity Studies of Therapeutic Proteins in Serum

The preclinical characterization of therapeutic proteins seeks to determine the stability, state of aggregation, and interaction with other macromolecules in serum. Sedimentation velocity is one of the experimental methods required to determine and understand these factors. Our goal is to develop analysis methods for sedimentation velocity data acquired using absorbance, multi-wavelength and the Aviv-FDS AUC. The Aviv-FDS utilizes a single fluorescently labeled sedimenting species against a concentrated and heterogeneous background of serum proteins which results in the phenomenon known as the Johnston-Ogston (J-O) effect. The J-O effect describes the hydrodynamic and thermodynamic nonideal sedimentation of a single component as a function of high concentrations of other components in solution. Thus, the aim of our current work is to study the sedimentation of a fluorescently labeled therapeutic antibody in the presence of high concentrations of human serum proteins. The two most ubiquitous serum proteins are human serum albumin, HSA, (∼35-40 mg/ml) and γ-globulins, IgG, (∼10-15 mg/ml). To study and understand the behavior of therapeutic antibodies in the presence of HSA, human IgG, and other serum components, tracer experiments are done pairwise as a function of HSA, IgG and therapeutic protein concentration. A plot of 1/s vs concentration reveals thermodynamic nonideality or a slowing of the sedimentation rate due to itself or another component (s = s0/(1 + Ksc)). This generates a 3x3 matrix of data that describes self- and cross-term hydrodynamic nonideality Ks. The goal is to develop a preclinical method for quantitative hydrodynamic analysis of therapeutic proteins in crowded environments like serum. (Supported by Boehringer-Ingelheim.)

Association equilibria for proteins interacted with crowders of short-range attraction in crowded environment

Based on a very simple coarse-grained colloidal model, here we implement an effective hard-sphere theory and numerical simulation to capture the general features of the association equilibria for globular proteins in crowded environment. We measure the activity coefficient, i.e., the deviation from ideal behavior of protein solution, and the crowding factor, i.e., the contribution of crowders to the association equilibria, for proteins in macromolecular crowding. The results show that the association balance in macromolecular crowding depends sensitively on the magnitude of protein–crowder attraction and the relative size of reactant to crowding agent. Since our coarse-grained model is irrelevant to the microscopic details of the molecules, it can be applied to the control of the association equilibria of many globular proteins such as bovine serum albumin, crystallin and lysozyme.

Energy transfer at heterogeneous protein-protein interfaces to investigate the molecular behaviour in the crowding environment

Investigation of the behaviour of proteins in crowded environments is crucial for understanding the role of proteins in biological environments. In this study, the behaviour of bovine serum albumin (BSA) in crowded (highly concentrated) environments was investigated using time-resolved fluorescence spectroscopy as a model system. By using energy transfer as a molecular ruler, the crowding effect was clearly observed in the time resolved spectra. In addition, by using both time resolved anisotropy measurement and Raman spectroscopy, more detail insights from conformational and dynamic points of view were described. Consequently, it was revealed that in the highly concentrated solution, most of the BSA molecules are in the fast-reversible oligomeric state and the association at the “hard” and “soft” interfaces between protein surfaces occurred in a highly crowded environment with the aid of a charge-charge and short-range attractive interface. From both the conformational and dynamic aspects, the detail spectroscopic understanding of the behaviour of BSA in the crowding environment was obtained.

Role of Molecular Flexibility and Colloidal Descriptions of Proteins in Crowded Environments from Small-Angle Scattering.

Small-angle scattering is a powerful technique to study molecular conformation and interactions of proteins in solution and in amorphous solids. We have investigated the role of multiple protein configurations in the interaction parameters derived from small-angle scattering for proteins in concentrated solutions. In order to account for the wide configurational space sampled by proteins, we generate ensembles of atomistic structures for lysozyme and monoclonal antibodies, representing globular and flexible proteins, respectively. While recent work has argued that a colloidal approach is inadequate to model proteins, because of the large configurational space that they sample in solution, we find a range of length scales where colloidal models can be used to describe solution scattering data while simultaneously accounting for structural flexibility. We provide insights to determine the length scales where isotropic colloidal models can be used, and find smoothly varying sets of interaction parameters that encompass ensembles of structures. This approach may play an important role in the definition of long-range interactions in coarse-grained models of flexible proteins with experimental scattering constraints. Additionally, we apply the decoupling approximation to ensembles of lysozyme structures with atomistic detail and observe remarkably different results when using geometric solids, such as ellipsoids. The insights from this study provide guidelines for the analysis of small-angle scattering profiles of proteins in crowded environments.

Structural fluctuations and thermal stability of proteins in crowded environments: effects of the excluded volume

We perform molecular dynamics simulations for a simple coarse-grained model of a protein placed inside of a softly repulsive sphere of radius R. The protein is surrounded either by a number of same molecules or a number of spherical crowding particles that immitate other biomolecules such as the osmolytes. The two descriptions are shown to lead to distinct results when testing thermal stability as assessed by studying the unfolding times as a function of temperature. We consider three examples of proteins and show that crowding increases the thermal stability provided the inter-protein or protein-crowder interactions are repulsive. On the other hand, an introduction of attraction between the proteins is found to destabilize the proteins. Crowding by repulsive crowder particles is seen to enhance the RMSF in certain exposed regions. The effect grows on decreasing the size of the crowding particles. In the absence of crowding the RMSF anticorrelates with the coordination number related to the residue–residue interaction.

Behavior of Bovine Serum Albumin Molecules in Molecular Crowding Environments Investigated by Raman Spectroscopy.

The behavior of proteins in crowded environments is dominated by protein-crowder interactions (the entropic/excluded volume effect) and protein-protein interactions (the soft chemical effect). The details of these interactions, however, are not fully understood. In this study, the behavior of bovine serum albumin (BSA) in crowded environments, including high protein concentrations and in the presence of another protein, was investigated by Raman spectroscopy. A detailed analysis of the water, Tyr, and Phe Raman bands revealed that the excluded volume effect with an increase in the protein concentration changed the local environment of hydrophobic residues. In contrast, no specific changes to the secondary structure were observed from the analysis of the concentration dependence of the amide I band. BSA was experimentally shown to adopt a more compact state in the presence of the crowding agent. Moreover, H-D exchange experiments of the amide I band revealed that the intramolecular hydrogen bonds of BSA were strengthened in the presence of the protein crowder. Thus, the Raman spectroscopy results have revealed the molecular behavior of proteins in crowded environments by extracting information about the excluded volume effect, soft chemical interactions, and the hydration effect.

Translational Dynamics of Lipidated Ras Proteins in the Presence of Crowding Agents and Compatible Osmolytes.

Ras proteins are small GTPases and are involved in transmitting signals that control cell growth, differentiation, and proliferation. Since the cell cytoplasm is crowded with different macromolecules, understanding the translational dynamics of Ras proteins in crowded environments is crucial to yielding deeper insight into their reactivity and function. Herein, the translational dynamics of lipidated N-Ras and K-Ras4B is studied in the bulk and in the presence of a macromolecular crowder (Ficoll) and the compatible osmolyte and microcrowder sucrose by fluorescence correlation spectroscopy. The results reveal that N-Ras forms dimers due to the presence of its lipid moiety in the hypervariable region, whereas K-Ras4B remains in its monomeric form in the bulk. Addition of a macromolecular crowding agent gradually favors clustering of the Ras proteins. In 20 wt % Ficoll N-Ras forms trimers and K-Ras4B dimers. Concentrations of sucrose up to 10 wt % foster formation of N-Ras trimers and K-Ras dimers as well. The results can be rationalized in terms of the excluded-volume effect, which enhances the association of the proteins, and, for the higher concentrations, by limited-hydration conditions. The results of this study shed new light on the association state of these proteins in a crowded environment. This is of particular interest for the Ras proteins, because their solution state-monomeric or clustered-influences their membrane-partitioning behavior and their interplay with cytosolic interaction partners.

Are current atomistic force fields accurate enough to study proteins in crowded environments?

The high concentration of macromolecules in the crowded cellular interior influences different thermodynamic and kinetic properties of proteins, including their structural stabilities, intermolecular binding affinities and enzymatic rates. Moreover, various structural biology methods, such as NMR or different spectroscopies, typically involve samples with relatively high protein concentration. Due to large sampling requirements, however, the accuracy of classical molecular dynamics (MD) simulations in capturing protein behavior at high concentration still remains largely untested. Here, we use explicit-solvent MD simulations and a total of 6.4 µs of simulated time to study wild-type (folded) and oxidatively damaged (unfolded) forms of villin headpiece at 6 mM and 9.2 mM protein concentration. We first perform an exhaustive set of simulations with multiple protein molecules in the simulation box using GROMOS 45a3 and 54a7 force fields together with different types of electrostatics treatment and solution ionic strengths. Surprisingly, the two villin headpiece variants exhibit similar aggregation behavior, despite the fact that their estimated aggregation propensities markedly differ. Importantly, regardless of the simulation protocol applied, wild-type villin headpiece consistently aggregates even under conditions at which it is experimentally known to be soluble. We demonstrate that aggregation is accompanied by a large decrease in the total potential energy, with not only hydrophobic, but also polar residues and backbone contributing substantially. The same effect is directly observed for two other major atomistic force fields (AMBER99SB-ILDN and CHARMM22-CMAP) as well as indirectly shown for additional two (AMBER94, OPLS-AAL), and is possibly due to a general overestimation of the potential energy of protein-protein interactions at the expense of water-water and water-protein interactions. Overall, our results suggest that current MD force fields may distort the picture of protein behavior in biologically relevant crowded environments.

Single-molecule spectroscopy reveals polymer effects of disordered proteins in crowded environments

Intrinsically disordered proteins (IDPs) are involved in a wide range of regulatory processes in the cell. Owing to their flexibility, their conformations are expected to be particularly sensitive to the crowded cellular environment. Here we use single-molecule Förster resonance energy transfer to quantify the effect of crowding as mimicked by commonly used biocompatible polymers. We observe a compaction of IDPs not only with increasing concentration, but also with increasing size of the crowding agents, at variance with the predictions from scaled-particle theory, the prevalent paradigm in the field. However, the observed behavior can be explained quantitatively if the polymeric nature of both the IDPs and the crowding molecules is taken into account explicitly. Our results suggest that excluded volume interactions between overlapping biopolymers and the resulting criticality of the system can be essential contributions to the physics governing the crowded cellular milieu.

The crowd you're in with: Effects of different types of crowding agents on protein aggregation

The intracellular environment contains high concentrations of macromolecules occupying up to 30% of the total cellular volume. Presence of these macromolecules decreases the effective volume available for the proteins in the cell and thus increases the effective protein concentrations and stabilizes the compact protein conformations. Macromolecular crowding created by various macromolecules such as proteins, nucleic acids, and carbohydrates has been shown to have a significant effect on a variety of cellular processes including protein aggregation. Most studies of macromolecular crowding have used neutral, flexible polysaccharides that function primarily via excluded volume effect as model crowding agents. Here we have examined the effects of more rigid polysaccharides on protein structure and aggregation. Our results indicate that rigid and flexible polysaccharides influence protein aggregation via different mechanisms and suggest that, in addition to excluded volume effect, changes in solution viscosity and non-specific protein–polymer interactions influence the structure and dynamics of proteins in crowded environments.

United-Atom Discrete Molecular Dynamics of Proteins Using Physics-Based Potentials.

We present a method for the efficient simulation of the equilibrium dynamics of proteins based on the well established discrete molecular dynamics algorithm, which avoids integration of Newton equations of motion at short time steps, allowing then the derivation of very large trajectories for proteins with a reduced computational cost. In the presented implementation we used an all heavy-atoms description of proteins, with simple potentials describing the conformational region around the experimental structure based on local physical interactions (covalent structure, hydrogen bonds, hydrophobic contacts, solvation, steric hindrance, and bulk dispersion interactions). The method shows a good ability to describe the flexibility of 33 diverse proteins in water as determined by atomistic molecular dynamics simulation and can be useful for massive simulation of proteins in crowded environments or for refinement of protein structure in large complexes.