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Microbial Cell Factories Mar 2015Formation of inclusion bodies in bacterial hosts poses a major challenge for large scale recovery of bioactive proteins. The process of obtaining bioactive protein from... (Review)
Review
Formation of inclusion bodies in bacterial hosts poses a major challenge for large scale recovery of bioactive proteins. The process of obtaining bioactive protein from inclusion bodies is labor intensive and the yields of recombinant protein are often low. Here we review the developments in the field that are targeted at improving the yield, as well as quality of the recombinant protein by optimizing the individual steps of the process, especially solubilization of the inclusion bodies and refolding of the solubilized protein. Mild solubilization methods have been discussed which are based on the understanding of the fact that protein molecules in inclusion body aggregates have native-like structure. These methods solubilize the inclusion body aggregates while preserving the native-like protein structure. Subsequent protein refolding and purification results in high recovery of bioactive protein. Other parameters which influence the overall recovery of bioactive protein from inclusion bodies have also been discussed. A schematic model describing the utility of mild solubilization methods for high throughput recovery of bioactive protein has also been presented.
Topics: Escherichia coli; Inclusion Bodies; Models, Molecular; Protein Denaturation; Protein Folding; Protein Refolding; Protein Unfolding; Recombinant Proteins; Solubility
PubMed: 25889252
DOI: 10.1186/s12934-015-0222-8 -
International Journal of Molecular... Mar 2023We review the key steps leading to an improved analysis of thermal protein unfolding. Thermal unfolding is a dynamic cooperative process with many short-lived... (Review)
Review
We review the key steps leading to an improved analysis of thermal protein unfolding. Thermal unfolding is a dynamic cooperative process with many short-lived intermediates. Protein unfolding has been measured by various spectroscopic techniques that reveal structural changes, and by differential scanning calorimetry (DSC) that provides the heat capacity change C(T). The corresponding temperature profiles of enthalpy ΔH(T), entropy ΔS(T), and free energy ΔG(T) have thus far been evaluated using a chemical equilibrium two-state model. Taking a different approach, we demonstrated that the temperature profiles of enthalpy ΔH(T), entropy ΔS(T), and free energy ΔG(T) can be obtained directly by a numerical integration of the heat capacity profile C(T). DSC thus offers the unique possibility to assess these parameters without resorting to a model. These experimental parameters now allow us to examine the predictions of different unfolding models. The standard two-state model fits the experimental heat capacity peak quite well. However, neither the enthalpy nor entropy profiles (predicted to be almost linear) are congruent with the measured sigmoidal temperature profiles, nor is the parabolic free energy profile congruent with the experimentally observed trapezoidal temperature profile. We introduce three new models, an empirical two-state model, a statistical-mechanical two-state model and a cooperative statistical-mechanical multistate model. The empirical model partially corrects for the deficits of the standard model. However, only the two statistical-mechanical models are thermodynamically consistent. The two-state models yield good fits for the enthalpy, entropy and free energy of unfolding of small proteins. The cooperative statistical-mechanical multistate model yields perfect fits, even for the unfolding of large proteins such as antibodies.
Topics: Protein Denaturation; Thermodynamics; Protein Unfolding; Entropy; Proteins; Calorimetry, Differential Scanning; Protein Folding
PubMed: 36982534
DOI: 10.3390/ijms24065457 -
The Journal of Physical Chemistry. B Apr 2023Protein stability is important in many areas of life sciences. Thermal protein unfolding is investigated extensively with various spectroscopic techniques. The...
Protein stability is important in many areas of life sciences. Thermal protein unfolding is investigated extensively with various spectroscopic techniques. The extraction of thermodynamic properties from these measurements requires the application of models. Differential scanning calorimetry (DSC) is less common, but is unique as it measures directly a thermodynamic property, that is, the heat capacity (). The analysis of () is usually performed with the chemical equilibrium two-state model. This is not necessary and leads to incorrect thermodynamic consequences. Here we demonstrate a straightforward model-independent evaluation of heat capacity experiments in terms of protein unfolding enthalpy Δ(), entropy Δ(), and free energy Δ()). This now allows the comparison of the experimental thermodynamic data with the predictions of different models. We critically examined the standard chemical equilibrium two-state model, which predicts a positive free energy for the native protein, and diverges distinctly from the experimental temperature profiles. We propose two new models which are equally applicable to spectroscopy and calorimetry. The Θ()-weighted chemical equilibrium model and the statistical-mechanical two-state model provide excellent fits of the experimental data. They predict sigmoidal temperature profiles for enthalpy and entropy, and a trapezoidal temperature profile for the free energy. This is illustrated with experimental examples for heat and cold denaturation of lysozyme and β-lactoglobulin. We then show that the free energy is not a good criterion to judge protein stability. More useful parameters are discussed, including protein cooperativity. The new parameters are embedded in a well-defined thermodynamic context and are amenable to molecular dynamics calculations.
Topics: Hot Temperature; Protein Denaturation; Proteins; Thermodynamics; Cold Temperature; Protein Unfolding; Calorimetry, Differential Scanning; Protein Folding
PubMed: 37040567
DOI: 10.1021/acs.jpcb.3c00882 -
Analytical Chemistry Nov 2022Native mass spectrometry coupled to ion mobility (IM-MS) combined with collisional activation (CA) of ions in the gas phase () is an important method for the study of...
Native mass spectrometry coupled to ion mobility (IM-MS) combined with collisional activation (CA) of ions in the gas phase () is an important method for the study of protein unfolding. It has advantages over classical biophysical and structural techniques as it can be used to analyze small volumes of low-concentration heterogeneous mixtures while maintaining solution-like behavior and does not require labeling with fluorescent or other probes. It is unclear, however, whether the unfolding observed during collision activation experiments mirrors solution-phase unfolding. To bridge the gap between and behavior, we use unbiased molecular dynamics (MD) to create models of unfolding of a well-studied protein, the N-terminal domain of ribosomal L9 (NTL9) protein. We utilize a mobile proton algorithm (MPA) to create 100 thermally unfolded and coulombically unfolded models for observed charge states of NTL9. The unfolding behavior replicates the behavior in-solution and is in line with the observations; however, the theoretical collision cross section (CCS) of the models was lower compared to that of the data, which may reflect reduced sampling.
Topics: Protons; Protein Unfolding; Molecular Dynamics Simulation; Proteins; Ions; Protein Conformation
PubMed: 36350278
DOI: 10.1021/acs.analchem.2c03352 -
ACS Chemical Biology Jun 2018Since the proposal of Anfinsen's thermodynamic hypothesis in 1963, our understanding of protein folding and dynamics has gained significant appreciation of its nuance... (Review)
Review
Since the proposal of Anfinsen's thermodynamic hypothesis in 1963, our understanding of protein folding and dynamics has gained significant appreciation of its nuance and complexity. Intrinsically disordered proteins, chameleonic sequences, morpheeins, and metamorphic proteins have broadened the protein folding paradigm. Here, we discuss noncanonical protein folding patterns, with an emphasis on metamorphic proteins, and we review known metamorphic proteins that occur naturally and that have been engineered in the laboratory. Finally, we discuss research areas surrounding metamorphic proteins that are primed for future exploration, including evolution, drug discovery, and the quest for previously unrecognized metamorphs. As we enter an age where we are capable of complex bioinformatic searches and de novo protein design, we are primed to search for previously unrecognized metamorphic proteins and to design our own metamorphs to act as targeted, switchable drugs; biosensors; and more.
Topics: Animals; Bacteria; Humans; Intrinsically Disordered Proteins; Protein Conformation, alpha-Helical; Protein Conformation, beta-Strand; Protein Engineering; Protein Folding; Protein Unfolding
PubMed: 29787234
DOI: 10.1021/acschembio.8b00276 -
Journal of Biomolecular NMR Apr 2022NMR-spectroscopy has certain unique advantages for recording unfolding transitions of proteins compared e.g. to optical methods. It enables per-residue monitoring and...
NMR-spectroscopy has certain unique advantages for recording unfolding transitions of proteins compared e.g. to optical methods. It enables per-residue monitoring and separate detection of the folded and unfolded state as well as possible equilibrium intermediates. This allows a detailed view on the state and cooperativity of folding of the protein of interest and the correct interpretation of subsequent experiments. Here we summarize in detail practical and theoretical aspects of such experiments. Certain pitfalls can be avoided, and meaningful simplification can be made during the analysis. Especially a good understanding of the NMR exchange regime and relaxation properties of the system of interest is beneficial. We show by a global analysis of signals of the folded and unfolded state of GB1 how accurate values of unfolding can be extracted and what limits different NMR detection and unfolding methods. E.g. commonly used exchangeable amides can lead to a systematic under determination of the thermodynamic protein stability. We give several perspectives of how to deal with more complex proteins and how the knowledge about protein stability at residue resolution helps to understand protein properties under crowding conditions, during phase separation and under high pressure.
Topics: Magnetic Resonance Spectroscopy; Nuclear Magnetic Resonance, Biomolecular; Protein Denaturation; Protein Folding; Protein Unfolding; Proteins; Thermodynamics
PubMed: 34984658
DOI: 10.1007/s10858-021-00389-3 -
Molecular Cell Jan 2018The AAA+-type ATPase p97 governs an ever-expanding number of cellular processes reaching from degradation of damaged proteins and organelles to key signaling events and... (Review)
Review
The AAA+-type ATPase p97 governs an ever-expanding number of cellular processes reaching from degradation of damaged proteins and organelles to key signaling events and chromatin regulation with thousands of client proteins. With its relevance for cellular homeostasis and genome stability, it is linked to muscular and neuronal degeneration and, conversely, constitutes an attractive anti-cancer drug target. Its molecular function is ATP-driven protein unfolding, which is directed by ubiquitin and assisted by a host of cofactor proteins. This activity underlies p97's diverse ability to pull proteins out of membranes, unfold proteins for proteasomal degradation, or segregate proteins from partners for downstream activity. Recent advances in structural analysis and biochemical reconstitution have underscored this notion, resolved detailed molecular motions within the p97 hexamer, and suggested substrate threading through the central channel of the p97 hexamer as the driving mechanism. We will discuss the mechanisms and open questions in the context of the diverse cellular activities.
Topics: Adenosine Triphosphatases; Cell Cycle Proteins; Homeostasis; Humans; Nuclear Proteins; Protein Unfolding; Signal Transduction; Ubiquitin; Valosin Containing Protein
PubMed: 29153394
DOI: 10.1016/j.molcel.2017.10.028 -
Nature Communications Jan 2022Engineering shape memory/morphing materials have achieved considerable progress in polymer-based systems with broad potential applications. However, engineering...
Engineering shape memory/morphing materials have achieved considerable progress in polymer-based systems with broad potential applications. However, engineering protein-based shape memory/morphing materials remains challenging and under-explored. Here we report the design of a bilayer protein-based shape memory/morphing hydrogel based on protein folding-unfolding mechanism. We fabricate the protein-bilayer structure using two tandem modular elastomeric proteins (GB1) and (FL). Both protein layers display distinct denaturant-dependent swelling profiles and Young's moduli. Due to such protein unfolding-folding induced changes in swelling, the bilayer hydrogels display highly tunable and reversible bidirectional bending deformation depending upon the denaturant concentration and layer geometry. Based on these programmable and reversible bending behaviors, we further utilize the protein-bilayer structure as hinge to realize one-dimensional to two-dimensional and two-dimensional to three-dimensional folding transformations of patterned hydrogels. The present work will offer new inspirations for the design and fabrication of novel shape morphing materials.
Topics: Amino Acid Sequence; Elastic Modulus; Elastomers; Hydrogels; Polymers; Protein Conformation, alpha-Helical; Protein Conformation, beta-Strand; Protein Engineering; Protein Folding; Protein Unfolding; Proteins; Wettability
PubMed: 35013234
DOI: 10.1038/s41467-021-27744-0 -
Communications Biology Jul 2021Proteins as force-sensors respond to mechanical cues and regulate signaling in physiology. Proteins commonly connect the source and response points of mechanical cues in...
Proteins as force-sensors respond to mechanical cues and regulate signaling in physiology. Proteins commonly connect the source and response points of mechanical cues in two conformations, independent proteins in end-to-end geometry and protein complexes in handshake geometry. The force-responsive property of independent proteins in end-to-end geometry is studied extensively using single-molecule force spectroscopy (SMFS). The physiological significance of the complex conformations in force-sensing is often disregarded as mere surge protectors. However, with the potential of force-steering, protein complexes possess a distinct mechano-responsive property over individual force-sensors. To decipher, we choose a force-sensing protein, cadherin-23, from tip-link complex and perform SMFS using end-to-end geometry and handshake complex geometry. We measure higher force-resilience of cadherin-23 with preferential shorter extensions in handshake mode of pulling over the direct mode. The handshake geometry drives the force-response of cadherin-23 through different potential-energy landscapes than direct pulling. Analysis of the dynamic network structure of cadherin-23 under tension indicates narrow force-distributions among residues in cadherin-23 in direct pulling, resulting in low force-dissipation paths and low resilience to force. Overall, the distinct and superior mechanical responses of cadherin-23 in handshake geometry than single protein geometry highlight a probable evolutionary drive of protein-protein complexes as force-conveyors over independent ones.
Topics: Anisotropy; Biomechanical Phenomena; Cadherins; Protein Unfolding
PubMed: 34326473
DOI: 10.1038/s42003-021-02445-y -
Analytical Chemistry Mar 2020In modern biochemistry, protein stability and ligand interactions are of high interest. These properties are often studied with methods requiring labeled biomolecules,...
In modern biochemistry, protein stability and ligand interactions are of high interest. These properties are often studied with methods requiring labeled biomolecules, as the existing methods utilizing luminescent external probes suffer from low sensitivity. Currently available label-free technologies, e.g., thermal shift assays, circular dichroism, and differential scanning calorimetry, enable studies on protein unfolding and protein-ligand interactions (PLI). Unfortunately, the required micromolar protein concentration increases the costs and predisposes these methods for spontaneous protein aggregation. Here, we report a time-resolved luminescence method for protein unfolding and PLI detection with nanomolar sensitivity. The Protein-Probe method is based on highly luminescent europium chelate-conjugated probe, which is the key component in sensing the hydrophobic regions exposed to solution after protein unfolding. With the same Eu-probe, we also demonstrate ligand-interaction induced thermal stabilization with model proteins. The developed Protein-Probe method provides a sensitive approach overcoming the problems of the current label-free methodologies.
Topics: Ligands; Models, Molecular; Protein Binding; Protein Denaturation; Protein Stability; Protein Structure, Secondary; Proteins; Temperature; Transition Temperature
PubMed: 32013400
DOI: 10.1021/acs.analchem.9b05712