Probing macromolecular crowding at the lipid membrane interface with genetically-encoded sensors

Biochemical processes within the living cell occur in a highly crowded environment, where macromolecules, first of all proteins and nucleic acids, occupy up to 30% of the volume. The phenomenon of macromolecular crowding is not an exclusive feature of the cytoplasm and can be observed in the densely protein-packed, nonhomogeneous cellular membranes and at the membrane interfaces. Crowding affects diffusional and conformational dynamics of proteins within the lipid bilayer, alters kinetic and thermodynamic properties of biochemical reactions, and modulates the membrane organization. Despite its importance, the non-invasive quantification of the membrane crowding is not trivial. Here, we developed a genetically-encoded fluorescence-based sensor for probing the macromolecular crowding at the membrane interfaces. Two sensor variants, both composed of fluorescent proteins and a membrane anchor, but differing by flexible linker domains were characterized in vitro, and the procedures for the membrane reconstitution were established. Steric pressure induced by membrane-tethered synthetic and protein crowders altered the sensors' conformation, causing increase in the intramolecular Förster's resonance energy transfer. Notably, the effect of protein crowders only weakly correlated with their molecular weight, suggesting that other factors, such as shape and charge contribute to the crowding via the quinary interactions. Finally, measurements performed in inner membrane vesicles of Escherichia coli validated the crowding-dependent dynamics of the sensors in the physiologically relevant environment. The sensors offer broad opportunities to study interfacial crowding in a complex environment of native membranes, and thus add to the toolbox of methods for studying membrane dynamics and proteostasis.

An in vitro mimic of in-cell solvation for protein folding studies

Ficoll, an inert macromolecule, is a common in vitro crowder, but by itself it does not reproduce in-cell stability or kinetic trends for protein folding. Lysis buffer, which contains ions, glycerol as a simple kosmotrope, and mimics small crowders with hydrophilic/hydrophobic patches, can reproduce sticking trends observed in cells but not the crowding. We previously suggested that the proper combination of Ficoll and lysis buffer could reproduce the opposite in-cell folding stability trend of two proteins: variable major protein-like sequence expressed (VlsE) is destabilized in eukaryotic cells and phosphoglycerate kinase (PGK) is stabilized. Here, to discover a well-characterized solvation environment that mimics in-cell stabilities for these two very differently behaved proteins, we conduct a two-dimensional scan of Ficoll (0-250 mg/ml) and lysis buffer (0-75%) mixtures. Contrary to our previous expectation, we show that mixtures of Ficoll and lysis buffer have a significant nonadditive effect on the folding stability. Lysis buffer enhances the stabilizing effect of Ficoll on PGK and inhibits the stabilizing effect of Ficoll on VlsE. We demonstrate that a combination of 150 mg/ml Ficoll and 60% lysis buffer can be used as an in vitro mimic to account for both crowding and non-steric effects on PGK and VlsE stability and folding kinetics in the cell. Our results also suggest that this mixture is close to the point where phase separation will occur. The simple mixture proposed here, based on commercially available reagents, could be a useful tool to study a variety of cytoplasmic protein interactions, such as folding, binding and assembly, and enzymatic reactions. SIGNIFICANCE STATEMENT: The complexity of the in-cell environment is difficult to reproduce in the test tube. Here we validate a mimic of cellular crowding and sticking interactions in a test tube using two proteins that are differently impacted by the cell: one is stabilized and the other is destabilized. This mimic is a starting point to reproduce cellular effects on a variety of protein and biomolecular interactions, such as folding and binding.

Non-Steric Interactions Predict the Trend and Steric Interactions the Offset of Protein Stability in Cells

Although biomolecules evolved to function in the cell, most biochemical assays are carried out in vitro. In-cell studies highlight how steric and non-steric interactions modulate protein folding and interactions. VlsE and PGK present two extremes of chemical behavior in the cell: the extracellular protein VlsE is destabilized in eukaryotic cells, whereas the cytoplasmic protein PGK is stabilized. VlsE and PGK are benchmarks in a systematic series of solvation environments to distinguish contributions from non-steric and steric interactions to protein stability, compactness, and folding rate by comparing cell lysate, a crowding agent, ionic buffer and lysate buffer with in-cell results. As anticipated, crowding stabilizes proteins, causes compaction, and can speed folding. Protein flexibility determines its sensitivity to steric interactions or crowding. Non-steric interactions alone predict in-cell stability trends, while crowding provides an offset towards greater stabilization. We suggest that a simple combination of lysis buffer and Ficoll is an effective new in vitro mimic of the intracellular environment on protein folding and stability.

Weak protein-protein interactions in live cells are quantified by cell-volume modulation

Weakly bound protein complexes play a crucial role in metabolic, regulatory, and signaling pathways, due in part to the high tunability of their bound and unbound populations. This tunability makes weak binding (micromolar to millimolar dissociation constants) difficult to quantify under biologically relevant conditions. Here, we use rapid perturbation of cell volume to modulate the concentration of weakly bound protein complexes, allowing us to detect their dissociation constant and stoichiometry directly inside the cell. We control cell volume by modulating media osmotic pressure and observe the resulting complex association and dissociation by FRET microscopy. We quantitatively examine the interaction between GAPDH and PGK, two sequential enzymes in the glycolysis catalytic cycle. GAPDH and PGK have been shown to interact weakly, but the interaction has not been quantified in vivo. A quantitative model fits our experimental results with log K_d = -9.7 ± 0.3 and a 2:1 prevalent stoichiometry of the GAPDH:PGK complex. Cellular volume perturbation is a widely applicable tool to detect transient protein interactions and other biomolecular interactions in situ. Our results also suggest that cells could use volume change (e.g., as occurs upon entry to mitosis) to regulate function by altering biomolecular complex concentrations.

Protein charge determination and implications for interactions in cell extracts

Decades of dilute-solution studies have revealed the influence of charged residues on protein stability, solubility and stickiness. Similar characterizations are now required in physiological solutions to understand the effect of charge on protein behavior under native conditions. Toward this end, we used free boundary and native gel electrophoresis to explore the charge of cytochrome c in buffer and in Escherichia coli extracts. We find that the charge of cytochrome c was ∼2-fold lower than predicted from primary structure analysis. Cytochrome c charge was tuned by sulfate binding and was rendered anionic in E. coli extracts due to interactions with macroanions. Mutants in which three or four cationic residues were replaced with glutamate were charge-neutral and "inert" in extracts. A comparison of the interaction propensities of cytochrome c and the mutants emphasizes the role of negative charge in stabilizing physiological environments. Charge-charge repulsion and preferential hydration appear to prevent aggregation. The implications for molecular organization in vivo are discussed.

Biomolecular interactions modulate macromolecular structure and dynamics in atomistic model of a bacterial cytoplasm

Biological macromolecules function in highly crowded cellular environments. The structure and dynamics of proteins and nucleic acids are well characterized in vitro, but in vivo crowding effects remain unclear. Using molecular dynamics simulations of a comprehensive atomistic model cytoplasm we found that protein-protein interactions may destabilize native protein structures, whereas metabolite interactions may induce more compact states due to electrostatic screening. Protein-protein interactions also resulted in significant variations in reduced macromolecular diffusion under crowded conditions, while metabolites exhibited significant two-dimensional surface diffusion and altered protein-ligand binding that may reduce the effective concentration of metabolites and ligands in vivo. Metabolic enzymes showed weak non-specific association in cellular environments attributed to solvation and entropic effects. These effects are expected to have broad implications for the in vivo functioning of biomolecules. This work is a first step towards physically realistic in silico whole-cell models that connect molecular with cellular biology.

Intracellular pH modulates quinary structure

NMR spectroscopy can provide information about proteins in living cells. pH is an important characteristic of the intracellular environment because it modulates key protein properties such as net charge and stability. Here, we show that pH modulates quinary interactions, the weak, ubiquitous interactions between proteins and other cellular macromolecules. We use the K10H variant of the B domain of protein G (GB1, 6.2 kDa) as a pH reporter in Escherichia coli cells. By controlling the intracellular pH, we show that quinary interactions influence the quality of in-cell (15) N-(1) H HSQC NMR spectra. At low pH, the quality is degraded because the increase in attractive interactions between E. coli proteins and GB1 slows GB1 tumbling and broadens its crosspeaks. The results demonstrate the importance of quinary interactions for furthering our understanding of protein chemistry in living cells.

Quinary structure modulates protein stability in cells

Protein quinary interactions organize the cellular interior and its metabolism. Although the interactions stabilizing secondary, tertiary, and quaternary protein structure are well defined, details about the protein-matrix contacts that comprise quinary structure remain elusive. This gap exists because proteins function in the crowded cellular environment, but are traditionally studied in simple buffered solutions. We use NMR-detected H/D exchange to quantify quinary interactions between the B1 domain of protein G and the cytosol of Escherichia coli. We demonstrate that a surface mutation in this protein is 10-fold more destabilizing in cells than in buffer, a surprising result that firmly establishes the significance of quinary interactions. Remarkably, the energy involved in these interactions can be as large as the energies that stabilize specific protein complexes. These results will drive the critical task of implementing quinary structure into models for understanding the proteome.