Bacteria growing in different conditions experience a broad range of demand on the rate of protein synthesis which profoundly affects cellular resource allocation. During fast growth, protein synthesis is long known to be modulated by adjusting the ribosome content, with the vast majority of ribosomes engaged at a near-maximal rate of elongation. Here we characterized protein synthesis by E. coli systematically, focusing on slow growth conditions. We establish that the translational elongation rate decreases as growth slows down, exhibiting a Michaelis-Menten dependence on the abundance of the cellular translational apparatus. However, an appreciable elongation rate is maintained even towards zero growth including the stationary phase. This maintenance, critical for timely protein synthesis in harsh environments, is accompanied by a drastic reduction in the fraction of active ribosomes. Interestingly, well-known antibiotics such as chloramphenicol also cause substantial reduction in the pool of active ribosomes, instead of slowing down translational elongation as commonly thought.
A grand challenge of systems biology is to predict the kinetic responses of living systems to perturbations starting from the underlying molecular interactions. Changes in the nutrient environment have long been used to study regulation and adaptation phenomena in microorganisms1–3 and they remain a topic of active investigation4–11. Although much is known about the molecular interactions that govern the regulation of key metabolic processes in response to applied perturbations12–17, they are insufficiently quantified for predictive bottom-up modelling. Here we develop a top-down approach, expanding the recently established coarse-grained proteome allocation models15,18–20 from steady-state growth into the kinetic regime. Using only qualitative knowledge of the underlying regulatory processes and imposing the condition of flux balance, we derive a quantitative model of bacterial growth transitions that is independent of inaccessible kinetic parameters. The resulting flux-controlled regulation model accurately predicts the time course of gene expression and biomass accumulation in response to carbon upshifts and downshifts (for example, diauxic shifts) without adjustable parameters. As predicted by the model and validated by quantitative proteomics, cells exhibit suboptimal recovery kinetics in response to nutrient shifts owing to a rigid strategy of protein synthesis allocation, which is not directed towards alleviating specific metabolic bottlenecks. Our approach does not rely on kinetic parameters, and therefore points to a theoretical framework for describing a broad range of such kinetic processes without detailed knowledge of the underlying biochemical reactions.
Pancreatic islet amyloid is a characteristic feature of type 2 diabetes. The major protein component of islet amyloid is the polypeptide hormone known as islet amyloid polypeptide (IAPP, or amylin). IAPP is stored with insulin in the β-cell secretory granules and is released in response to the stimuli that lead to insulin secretion. IAPP is normally soluble and is natively unfolded in its monomeric state, but forms islet amyloid in type 2 diabetes. Islet amyloid is not the cause of type 2 diabetes, but it leads to β-cell dysfunction and cell death, and contributes to the failure of islet cell transplantation. The mechanism of IAPP amyloid formation is not understood and the mechanisms of cytotoxicity are not fully defined.
Amyloid formation plays a role in a wide range of human diseases. The rate and extent of amyloid formation depends on solution conditions including pH and ionic strength. Amyloid fibrils often adopt structures with parallel, in-register β-sheets, which generate quasi-infinite arrays of aligned side chains. These arrangements can lead to significant electrostatic interactions between adjacent polypeptide chains. The effect of ionic strength and ion composition on the kinetics of amyloid formation by islet amyloid polypeptide (IAPP) is examined. IAPP is a basic 37-residue polypeptide responsible for islet amyloid formation in type 2 diabetes. Poisson–Boltzmann calculations revealed significant electrostatic repulsion in a model of the IAPP fibrillar state. The kinetics of IAPP amyloid formation are strongly dependent on ionic strength, varying by more than a factor of 10 over the range of 20 to 600 mM NaCl at pH 8.0, but the effect is not entirely due to Debye screening. At low ionic strength the rate depends strongly on the identity of the anion, nearly varying by a factor of four and scales with the electroselectivity series, implicating anion binding. At high ionic strength the rate varies by only 8% and scales with the Hofmeister series. At intermediate ionic strength no clear trend is detected, likely because of convolution of different effects. The effects of salts on the growth phase and lag phase of IAPP amyloid formation are strongly correlated. At pH 5.5, where the net charge on IAPP is larger, the effect of different anions scales with the electroselectivity series at all salt concentrations.
The use of noncoded amino acids as spectroscopic probes of protein folding and function is growing rapidly, in large part because of advances in the methodology for their incorporation. Recently p-cyanophenylalanine has been employed as a fluorescence and IR probe, as well as a FRET probe to study protein folding, protein-membrane interactions, protein-protein interactions and amyloid formation. The probe has been shown to be exquisitely sensitive to hydrogen bonding interactions involving the cyano group, and its fluorescence quantum yield increases dramatically when it is hydrogen bonded. However, a detailed understanding of the factors which influence its fluorescence is required to be able to use this popular probe accurately. Here we demonstrate the recombinant incorporation of p-cyanophenylalanine in the N-terminal domain of the ribosomal protein L9. Native state fluorescence is very low, which suggests that the group is sequestered from solvent; however, IR measurements and molecular dynamics simulations show that the cyano group is exposed to solvent and forms hydrogen bonds to water. Analysis of mutant proteins and model peptides demonstrates that the reduced native state fluorescence is caused by the effective quenching of p-cyanophenylalanine fluorescence via FRET to tyrosine side-chains. The implications for the interpretation of p-cyanophenylalanine fluorescence measurements and FRET studies are discussed.
Islet amyloid polypeptide (IAPP, Amylin) is responsible for amyloid formation in type 2 diabetes and in islet cell transplants. The only known natural mutation found in mature human IAPP is a Ser-20 to Gly mis-sense mutation, found with small frequency in Chinese and Japanese populations. The mutation appears to be associated with increased risk of early onset type 2 diabetes. Early measurements in the presence of organic co-solvents showed that S20G-IAPP formed amyloid more quickly than the wild type. We confirm that the mutant accelerates amyloid formation under a range of conditions including in the absence of co-solvents. Ser-20 adopts a normal backbone geometry and the side chain makes no steric clashes in models of IAPP amyloid fibers, suggesting that the increase rate of amyloid formation by the mutant does not result from the relief of steric incompatibility in the fiber state. Transmission electronic microscopy, circular dichroism and seeding studies were used to probe the structure of the resulting fibers. The S20G-IAPP peptide is toxic to cultured rat INS-1 β-cells. The sensitivity of amyloid formation to the identity of residue-20 was exploited to design a variant which is much slower to aggregate and which inhibits amyloid formation by wild type IAPP. A S20K mutant forms amyloid with an 18-fold longer lag phase. Thioflavin-T binding assays, together with experiments using a p-cyanophenylalanine variant of human IAPP, show that the designed S20K mutant inhibits amyloid formation by human IAPP. The experiments illustrate how p-cyanophenylalanine can be exploited to monitor amyloid formation even in the presence of other amyloidogenic proteins.
The rational modification of protein stability is an important goal of protein design. Protein surface electrostatic interactions are not evolutionarily optimized for stability and are an attractive target for the rational redesign of proteins. We show that surface charge mutants can exert stabilizing effects in distinct and unanticipated ways, including ones that are not predicted by existing methods, even when only solvent-exposed sites are targeted. Individual mutation of three solvent-exposed lysines in the villin headpiece subdomain significantly stabilizes the protein, but the mechanism of stabilization is very different in each case. One mutation destabilizes native-state electrostatic interactions but has a larger destabilizing effect on the denatured state, a second removes the desolvation penalty paid by the charged residue, whereas the third introduces unanticipated native-state interactions but does not alter electrostatics. Our results show that even seemingly intuitive mutations can exert their effects through unforeseen and complex interactions.atomistic simulations | pH-dependent stability | protein pKa measurements | nuclear magnetic resonance | protein biophysics T he mutation of charged surface residues to enhance electrostatics is a popular approach in protein engineering (1). Target residues are often selected using estimates of the protein electrostatic potential (2). This approach relies on identifying residues that are involved in unfavorable electrostatic interactions, typically with residues of the same charge, or on identifying sites where new favorable electrostatic interactions can be introduced (3). Solvent-exposed charged residues are thought to not be involved in critical packing interactions in the native state, to not suffer large desolvation penalties upon protein folding, nor to make significant interactions in the denatured-state ensemble (DSE). Thus, residues to be targeted are typically chosen on the basis of calculations of protein native-state ensemble (NSE) electrostatics. Methods ranging from simple inspection of the protein surface, modified Tanford-Kirkwood approaches (3, 4) and Poisson-Boltzmann (PB) calculations have been used (5-7). Irrespective of the details, the general strategy is based on the assumption that surface electrostatic interactions can be modified without altering other native-state interactions and without altering DSE energetics. An attractive feature of these approaches is that they are computationally inexpensive and, unlike selectionbased methods or directed evolution, involve the generation of a limited number of mutants. Any increase in stability is generally assumed to result from modification of NSE electrostatics. We show that this approach leads to complicated and unanticipated results, even for very simple proteins.We use the villin headpiece subdomain HP36 as our model system. HP36 is a small three-helix protein that has become an extremely popular model system for experimental and computational studies of protein folding, owing to its ...
Cyanovirin-N (CVN) is an 11-kDa pseudo-symmetric cyanobacterial lectin that has been shown to inhibit infection by the Human Immunodeficiency Virus (HIV) by binding to high-mannose oligosaccharides on the surface of the viral envelope glycoprotein gp120. In this work we describe rationally-designed CVN variants that stabilize the protein fold while maintaining high affinity and selectivity for their glycan targets. Poisson–Boltzmann calculations and protein repacking algorithms were used to select stabilizing mutations in the protein core. By substituting the buried polar side chains of Ser11, Ser20, and Thr61 with aliphatic groups, we stabilized CVN by nearly 12 °C against thermal denaturation, and by 1 m of GuaHCl against chemical denaturation, relative to a previously-characterized stabilized mutant. Glycan microarray binding experiments confirmed that the specificity profile of carbohydrate binding is unperturbed by the mutations, and is identical for all variants. In particular, the variants selectively bound glycans containing the Manα(1→2)Man linkage, which is the known minimal binding unit of CVN. We also report the slow denaturation kinetics of CVN and show that they can complicate thermodynamic analysis; in particular, the unfolding of CVN cannot be described as a fixed two-state transition. Accurate thermodynamic parameters are needed to describe the complicated free energy landscape of CVN, and we provide updated values for CVN unfolding.
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