Polymer crowders and protein crowders act similarly on protein folding stability

Residue level quantification of protein stability in living cells

The intracellular milieu differs from the dilute conditions in which most biophysical and biochemical studies are performed. This difference has led both experimentalists and theoreticians to tackle the challenging task of understanding how the intracellular environment affects the properties of biopolymers. Despite a growing number of in-cell studies, there is a lack of quantitative, residue-level information about equilibrium thermodynamic protein stability under nonperturbing conditions. We report the use of NMR-detected hydrogen-deuterium exchange of quenched cell lysates to measure individual opening free energies of the 56-aa B1 domain of protein G (GB1) in living Escherichia coli cells without adding destabilizing cosolutes or heat. Comparisons to dilute solution data (pH 7.6 and 37 °C) show that opening free energies increase by as much as 1.14 ± 0.05 kcal/mol in cells. Importantly, we also show that homogeneous protein crowders destabilize GB1, highlighting the challenge of recreating the cellular interior. We discuss our findings in terms of hard-core excluded volume effects, charge-charge GB1-crowder interactions, and other factors. The quenched lysate method identifies the residues most important for folding GB1 in cells, and should prove useful for quantifying the stability of other globular proteins in cells to gain a more complete understanding of the effects of the intracellular environment on protein chemistry.

Protein stabilization by macromolecular crowding through enthalpy rather than entropy

The interior of the cell is a densely crowded environment in which protein stability is affected differently than in dilute solution. Macromolecular crowding is commonly understood in terms of an entropic volume exclusion effect based on hardcore repulsions among the macromolecules. We studied the thermal unfolding of ubiquitin in the presence of different cosolutes (glucose, dextran, poly(ethylene glycol), KCl, urea). Our results show that for a correct dissection of the cosolute-induced changes of the free energy into its enthalpic and entropic contributions, the temperature dependence of the heat capacity change needs to be explicitly taken into account. In contrast to the prediction by the excluded volume theory, we observed an enthalpic stabilization and an entropic destabilization for glucose, dextran, and poly(ethylene glycol). The enthalpic stabilization mechanism induced by the macromolecular crowder dextran was similar to the enthalpic stabilization mechanism of its monomeric building block glucose. In the case of poly(ethylene glycol), entropy is dominating over enthalpy leading to an overall destabilization. We propose a new model to classify cosolute effects in terms of their enthalpic contributions to protein stability.

Further Development of the FFT-based Method for Atomistic Modeling of Protein Folding and Binding under Crowding: Optimization of Accuracy and Speed

Recently, we (Qin, S.; Zhou, H. X. J. Chem. Theory Comput.2013, 9, 4633–4643) developed the FFT-based method for Modeling Atomistic Proteins–crowder interactions, henceforth FMAP. Given its potential wide use for calculating effects of crowding on protein folding and binding free energies, here we aimed to optimize the accuracy and speed of FMAP. FMAP is based on expressing protein–crowder interactions as correlation functions and evaluating the latter via fast Fourier transform (FFT). The numerical accuracy of FFT improves as the grid spacing for discretizing space is reduced, but at increasing computational cost. We sought to speed up FMAP calculations by using a relatively coarse grid spacing of 0.6 Å and then correcting for discretization errors. This strategy was tested for different types of interactions (hard-core repulsion, nonpolar attraction, and electrostatic interaction) and over a wide range of protein–crowder systems. We were able to correct for the numerical errors on hard-core repulsion and nonpolar attraction by an 8% inflation of atomic hard-core radii and on electrostatic interaction by a 5% inflation of the magnitudes of protein atomic charges. The corrected results have higher accuracy and enjoy a speedup of more than 100-fold over those obtained using a fine grid spacing of 0.15 Å. With this optimization of accuracy and speed, FMAP may become a practical tool for realistic modeling of protein folding and binding in cell-like environments.

Origin of Enthalpic Depletion Forces

Solutes excluded from macromolecules or colloids are known to drive depletion attractions. The established Asakura-Oosawa model, as well as subsequent theories aimed at explaining the effects of macromolecular crowding, attribute depletion forces to diminished hard-core excluded volume upon compaction, and hence predict depletion forces dominated by entropy. However, recent experiments measuring the effect of preferentially excluded solutes on protein folding and macromolecular association find these forces can also be enthalpic. We use simulations of macromolecular association in explicit binary cosolute-solvent mixtures, with solvent and cosolute intermolecular interactions that go beyond hard-cores, to show that not all cosolutes conform to the established entropically dominated model. We further demonstrate how the enthalpically dominated depletion forces that we find can be well described within an Asakura-Oosawa like model provided that the hard-core macromolecule-cosolute potential of mean force is augmented by a "soft" step-like repulsion.

Function, structure, and stability of enzymes confined in agarose gels

Research over the past few decades has attempted to answer how proteins behave in molecularly confined or crowded environments when compared to dilute buffer solutions. This information is vital to understanding in vivo protein behavior, as the average spacing between macromolecules in the cell cytosol is much smaller than the size of the macromolecules themselves. In our study, we attempt to address this question using three structurally and functionally different model enzymes encapsulated in agarose gels of different porosities. Our studies reveal that under standard buffer conditions, the initial reaction rates of the agarose-encapsulated enzymes are lower than that of the solution phase enzymes. However, the encapsulated enzymes retain a higher percentage of their activity in the presence of denaturants. Moreover, the concentration of agarose used for encapsulation had a significant effect on the enzyme functional stability; enzymes encapsulated in higher percentages of agarose were more stable than the enzymes encapsulated in lower percentages of agarose. Similar results were observed through structural measurements of enzyme denaturation using an 8-anilinonaphthalene-1-sulfonic acid fluorescence assay. Our work demonstrates the utility of hydrogels to study protein behavior in highly confined environments similar to those present in vivo; furthermore, the enhanced stability of gel-encapsulated enzymes may find use in the delivery of therapeutic proteins, as well as the design of novel strategies for biohybrid medical devices.

Impact of reconstituted cytosol on protein stability

Protein stability is usually studied in simple buffered solutions, but most proteins function inside cells, where the heterogeneous and crowded environment presents a complex, nonideal system. Proteins are expected to behave differently under cellular crowding owing to two types of contacts: hard-core repulsions and weak, chemical interactions. The effect of hard-core repulsions is purely entropic, resulting in volume exclusion owing to the mere presence of the crowders. The weak interactions can be repulsive or attractive, thus enhancing or diminishing the excluded volume, respectively. We used a reductionist approach to assess the effects of intracellular crowding. Escherichia coli cytoplasm was dialyzed, lyophilized, and resuspended at two concentrations. NMR-detected amide proton exchange was then used to quantify the stability of the globular protein chymotrypsin inhibitor 2 (CI2) in these crowded solutions. The cytosol destabilizes CI2, and the destabilization increases with increasing cytosol concentration. This observation shows that the cytoplasm interacts favorably, but nonspecifically, with CI2, and these interactions overcome the stabilizing hard-core repulsions. The effects of the cytosol are even stronger than those of homogeneous protein crowders, reinforcing the biological significance of weak, nonspecific interactions.

Competitive interactions of ligands and macromolecular crowders with maltose binding protein

Cellular signaling involves a cascade of recognition events occurring in a complex environment with high concentrations of proteins, polysaccharides, and other macromolecules. The influence of macromolecular crowders on protein binding affinity through hard-core repulsion is well studied, and possible contributions of protein-crowder soft attraction have been implicated recently. Here we present direct evidence for weak association of maltose binding protein (MBP) with a polysaccharide crowder Ficoll, and that this association effectively competes with the binding of the natural ligand, maltose. Titration data over wide ranges of maltose and Ficoll concentrations fit well with a three-state competitive binding model. Broadening of MBP ¹H­¹⁵N TROSY spectra by the addition of Ficoll indicates weak protein-crowder association, and subsequent recovery of sharp NMR peaks upon addition of maltose indicates that the interactions of the crowder and the ligand with MBP are competitive. We hypothesize that, in the Escherichia coli periplasm, the competitive interactions of polysaccharides and maltose with MBP could allow MBP to shuttle between the peptidoglycan attached to the outer membrane and the ATP-binding cassette transporter in the inner membrane.

Molecular crowding drives active Pin1 into nonspecific complexes with endogenous proteins prior to substrate recognition

Proteins and nucleic acids maintain the crowded interior of a living cell and can reach concentrations in the order of 200-400 g/L which affects the physicochemical parameters of the environment, such as viscosity and hydrodynamic as well as nonspecific strong repulsive and weak attractive interactions. Dynamics, structure, and activity of macromolecules were demonstrated to be affected by these parameters. However, it remains controversially debated, which of these factors are the dominant cause for the observed alterations in vivo. In this study we investigated the globular folded peptidyl-prolyl isomerase Pin1 in Xenopus laevis oocytes and in native-like crowded oocyte extract by in-cell NMR spectroscopy. We show that active Pin1 is driven into nonspecific weak attractive interactions with intracellular proteins prior to substrate recognition. The substrate recognition site of Pin1 performs specific and nonspecific attractive interactions. Phosphorylation of the WW domain at Ser16 by PKA abrogates both substrate recognition and the nonspecific interactions with the endogenous proteins. Our results validate the hypothesis formulated by McConkey that the majority of globular folded proteins with surface charge properties close to neutral under physiological conditions reside in macromolecular complexes with other sticky proteins due to molecular crowding. In addition, we demonstrate that commonly used synthetic crowding agents like Ficoll 70 are not suitable to mimic the intracellular environment due to their incapability to simulate biologically important weak attractive interactions.

The extracellular protein VlsE is destabilized inside cells

We use U2OS cells as in vivo "test tubes" to study how the same cytoplasmic environment has opposite effects on the stability of two different proteins. Protein folding stability and kinetics were compared by fast relaxation imaging, which combines a temperature jump with fluorescence microscopy of FRET (Förster resonance energy transfer)-labeled proteins. While the stability of the cytoplasmic enzyme PGK (phosphoglycerate kinase) increases in cells, the stability of the cell surface antigen VlsE, which presumably did not evolve for stability inside cells, decreases. VlsE folding also slows down more than PGK folding in cells, relative to their respective aqueous buffer kinetics. Our FRET measurements provide evidence that VlsE is more compact inside cells than in aqueous buffer. Two kinetically distinct protein populations exist inside cells, making a connection with previous in vitro crowding studies. In addition, we confirm previous studies showing that VlsE is stabilized by 150mg/mL of the carbohydrate crowder Ficoll, even though it is destabilized in the cytoplasm relative to aqueous buffer. We propose two mechanisms for the observed destabilization of VlsE in U2OS cells: long-range interactions competing with crowding or shape-dependent crowding favoring more compact states inside the cell over the elongated aqueous buffer native state.

Simulation and Modeling of Crowding Effects on the Thermodynamic and Kinetic Properties of Proteins with Atomic Details

Recent experimental studies of protein folding and binding under crowded solutions suggest that crowding agents exert subtle influences on the thermodynamic and kinetic properties of the proteins. While some of the crowding effects can be understood qualitatively from simple models of the proteins, quantitative rationalization of these effects requires an atomistic representation of the protein molecules in modeling their interactions with crowders. A computational approach, known as postprocessing, has opened the door for atomistic modeling of crowding effects. This review summarizes the applications of the postprocessing approach for studying crowding effects on the thermodynamics and kinetics of protein folding, conformational transition, and binding. The integration of atomistic modeling with experiments in crowded solutions promises new insight into biochemical processes in cellular environments.

Influence of crowded cellular environments on protein folding, binding, and oligomerization: biological consequences and potentials of atomistic modeling

Recent experiments inside cells and in cytomimetic conditions have demonstrated that the crowded environments found therein can significantly reshape the energy landscapes of individual protein molecules and their oligomers. The resulting shifts in populations of conformational and oligomeric states have numerous biological consequences, e.g., concerning the efficiency of replication and transcription, the development of aggregation-related diseases, and the efficacy of small-molecule drugs. Some of the effects of crowding can be anticipated from hard-particle theoretical models, but the in vitro and in vivo measurements indicate that these effects are often subtle and complex. These observations, coupled with recent computational studies at the atomistic level, suggest that the latter detailed modeling may be required to yield a quantitative understanding on the influence of crowded cellular environments.