Selective stabilization of a partially unfolded protein by a metabolite

The Legend of ATP: From Origin of Life to Precision Medicine

Adenosine triphosphate (ATP) may be the most important biological small molecule. Since it was discovered in 1929, ATP has been regarded as life’s energy reservoir. However, this compound means more to life. Its legend starts at the dawn of life and lasts to this day. ATP must be the basic component of ancient ribozymes and may facilitate the origin of structured proteins. In the existing organisms, ATP continues to construct ribonucleic acid (RNA) and work as a protein cofactor. ATP also functions as a biological hydrotrope, which may keep macromolecules soluble in the primitive environment and can regulate phase separation in modern cells. These functions are involved in the pathogenesis of aging-related diseases and breast cancer, providing clues to discovering anti-aging agents and precision medicine tactics for breast cancer.

Discovery of the Xenon-Protein Interactome Using Large-Scale Measurements of Protein Folding and Stability

The intermolecular interactions of noble gases in biological systems are associated with numerous biochemical responses, including apoptosis, inflammation, anesthesia, analgesia, and neuroprotection. The molecular modes of action underlying these responses are largely unknown. This is in large part due to the limited experimental techniques to study protein-gas interactions. The few techniques that are amenable to such studies are relatively low-throughput and require large amounts of purified proteins. Thus, they do not enable the large-scale analyses that are useful for protein target discovery. Here, we report the application of stability of proteins from rates of oxidation (SPROX) and limited proteolysis (LiP) methodologies to detect protein-xenon interactions on the proteomic scale using protein folding stability measurements. Over 5000 methionine-containing peptides and over 5000 semi-tryptic peptides, mapping to ∼1500 and ∼950 proteins, respectively, in the yeast proteome, were assayed for Xe-interacting activity using the SPROX and LiP techniques. The SPROX and LiP analyses identified 31 and 60 Xe-interacting proteins, respectively, none of which were previously known to bind Xe. A bioinformatics analysis of the proteomic results revealed that these Xe-interacting proteins were enriched in those involved in ATP-driven processes. A fraction of the protein targets that were identified are tied to previously established modes of action related to xenon's anesthetic and organoprotective properties. These results enrich our knowledge and understanding of biologically relevant xenon interactions. The sample preparation protocols and analytical methodologies developed here for xenon are also generally applicable to the discovery of a wide range of other protein-gas interactions in complex biological mixtures, such as cell lysates.

Chemoproteomic-enabled characterization of small GTPase Rab1a as a target of an N-arylbenzimidazole ligand's rescue of Parkinson's-associated cell toxicity

The development of phenotypic models of Parkinson's disease (PD) has enabled screening and identification of phenotypically active small molecules that restore complex biological pathways affected by PD toxicity.

Biological innovation in the functional landscape of a model regulator, or the lactose operon repressor

The operon model was proposed six decades ago. And yet, despite all this time, the lactose operon repressor, LacI, remains a subject of major interest. While it is well established that LacI can exist in two functional forms, one that renders the operon inactive via binding of LacI to DNA and another, bound to an inducer that does not allow repression, how it switches from one to the other is still not well understood. The construction of a library of several tens of thousands of LacI mutants has revealed some unexpected features. In particular, the transition implemented in some of them reveals a new type of transcription regulation: band-pass (OFF/ON/OFF) and band-stop (ON/OFF/ON) filters. This makes it natural to think that it is the network of hydrogen bonds associated with the water bound to the molecule that allows the remote interconnection between the binding site to an inducer molecule and the one that binds it to the DNA.

Identify the interactions between phytochemicals and proteins in the complicated food matrix

Phytochemicals usually mix with food proteins in our regular diet. Unexpected interactions may lead to changes in bioaccessibility, bioactivity, and bioavailability of phytochemicals. However, our understanding of these interactions between phytochemical and food proteins is limited because of the experimental restrictions. Here, we used pulse-proteolysis to conduct the unfolding equilibrium and dose-dependent experiments on the food proteins for the first time. The interaction between epigallocatechin gallate (EGCG) and caseins was identified in the complicated food matrix, whole milk. Another food proteome, soymilk, was also optimized for identifying the binding targets of EGCG and caffeine. Among the identified interactions, the mixing of milk with coffee generates the most prominent masking effect of 46.61 ± 3.86% relative to the calculated antioxidant capacity. Our results demonstrated that pulse proteolysis is applicable for identifying the interactions between phytochemicals and proteins in the complicated food matrix.

Metabolites modulate the functional state of human uridine phosphorylase I

Metabolic pathways in cancer cells typically become reprogrammed to support unconstrained proliferation. These abnormal metabolic states are often accompanied by accumulation of high concentrations of ATP in the cytosol, a phenomenon known as the Warburg Effect. However, how high concentrations of ATP relate to the functional state of proteins is poorly understood. Here, we comprehensively studied the influence of ATP levels on the functional state of the human enzyme, uridine phosphorylase I (hUP1), which is responsible for activating the chemotherapeutic pro-drug, 5-fluorouracil. We found that elevated levels of ATP decrease the stability of hUP1, leading to the loss of its proper folding and function. We further showed that the concentration of hUP1 exerts a critical influence on this ATP-induced destabilizing effect. In addition, we found that ATP interacts with hUP1 through a partially unfolded state and accelerates the rate of hUP1 unfolding. Interestingly, some structurally similar metabolites showed similar destabilization effects on hUP1. Our findings suggest that metabolites can alter the folding and function of a human protein, hUP1, through protein destabilization. This phenomenon may be relevant in studying the functions of proteins that exist in the specific metabolic environment of a cancer cell.

Cofactors as Molecular Fossils To Trace the Origin and Evolution of Proteins

Due to their early origin and extreme conservation, cofactors are valuable molecular fossils for tracing the origin and evolution of proteins. First, as the order of protein folds binding with cofactors roughly coincides with protein-fold chronology, cofactors are considered to have facilitated the origin of primitive proteins by selecting them from pools of random amino acid sequences. Second, in the subsequent evolution of proteins, cofactors still played an important role. More interestingly, as metallic cofactors evolved with geochemical variations, some geochemical events left imprints in the chronology of protein architecture; this provides further evidence supporting the coevolution of biochemistry and geochemistry. In this paper, we attempt to review the molecular fossils used in tracing the origin and evolution of proteins, with a special focus on cofactors.

Chaperone action of a cofactor in protein folding

Previously, we have reported that ATP accelerates the folding and unfolding of Escherichia coli glyceraldehyde-3-phosphate dehydrogenase (GAPDH), which is a glycolytic enzyme utilizing NAD⁺ as a cofactor. Because ATP and NAD⁺ share the ADP moiety, we hypothesized that NAD⁺ also accelerates the folding of GAPDH and that the common structural motif between ATP and NAD⁺ is responsible for the chaperone activity. After confirming that NAD⁺ indeed accelerates the folding of GAPDH, we examined the chaperone activity of the structural fragments of NAD⁺ (ADP, AMP, adenosine, and nicotinamide monophosphate). Our finding showed that ADP and AMP significantly speed up the folding of GAPDH, while adenosine and nicotinamide monophosphate do not. ADP and AMP also dramatically speed up the unfolding of GAPDH by selectively stabilizing a transition state in which GAPDH has a partially unfolded conformation. Similar to the previously reported effect of ATP on the equilibrium unfolding of GAPDH, a partially unfolded intermediate also accumulates in the presence of ADP and AMP. Based on the effect of the structural fragments of NAD⁺ on the folding of GAPDH, we identified that AMP is the structural determinant of the chaperone activity of ATP and NAD⁺ . Also, we propose a plausible model to explain how NAD⁺ accelerates the folding of GAPDH through a stepwise development of molecular interactions with the protein.

Folding and Misfolding of Human Membrane Proteins in Health and Disease: From Single Molecules to Cellular Proteostasis

Advances over the past 25 years have revealed much about how the structural properties of membranes and associated proteins are linked to the thermodynamics and kinetics of membrane protein (MP) folding. At the same time biochemical progress has outlined how cellular proteostasis networks mediate MP folding and manage misfolding in the cell. When combined with results from genomic sequencing, these studies have established paradigms for how MP folding and misfolding are linked to the molecular etiologies of a variety of diseases. This emerging framework has paved the way for the development of a new class of small molecule "pharmacological chaperones" that bind to and stabilize misfolded MP variants, some of which are now in clinical use. In this review, we comprehensively outline current perspectives on the folding and misfolding of integral MPs as well as the mechanisms of cellular MP quality control. Based on these perspectives, we highlight new opportunities for innovations that bridge our molecular understanding of the energetics of MP folding with the nuanced complexity of biological systems. Given the many linkages between MP misfolding and human disease, we also examine some of the exciting opportunities to leverage these advances to address emerging challenges in the development of therapeutics and precision medicine.

ATP alters protein folding and function of Escherichia coli uridine phosphorylase

Uridine phosphorylase is one of the critical enzymes in the pyrimidine salvage pathway. Cells regenerate uridine for nucleotide metabolism by incorporating uracil with ribose-1-phosphate with this enzyme. Recent studies indicate that Escherichia coli uridine phosphorylase is destabilized in the presence of ATP. However, the mechanism underlying the destabilization process and its influence on uridine phosphorylase function remain to be established. Here, we comprehensively investigated the effects of ATP on protein folding and function of Escherichia coli uridine phosphorylase. Our results demonstrate that ATP apparently decreases the stability of uridine phosphorylase in a concentration-dependent manner. Additionally, simply increasing the level of ATP led to a reduction of enzymatic activity to complete inhibition. Further studies showed that uridine phosphorylase accumulates as a partially unfolded state in the presence of ATP. Moreover, ATP specifically accelerated the unfolding rate of uridine phosphorylase with no observable effects on the refolding process. Our preliminary findings suggest that ATP can alter the protein folding and function of enzymes via apparent destabilization. This mechanism may be significant for proteins functioning under conditions of high levels of ATP, such as cancer cell environments.

Discovery of Nicotinamide Adenine Dinucleotide Binding Proteins in the Escherichia coli Proteome Using a Combined Energetic- and Structural-Bioinformatics-Based Approach

Protein-ligand interaction plays a critical role in regulating the biochemical functions of proteins. Discovering protein targets for ligands is vital to new drug development. Here, we present a strategy that combines experimental and computational approaches to identify ligand-binding proteins in a proteomic scale. For the experimental part, we coupled pulse proteolysis with filter-assisted sample preparation (FASP) and quantitative mass spectrometry. Under denaturing conditions, ligand binding affected protein stability, which resulted in altered protein abundance after pulse proteolysis. For the computational part, we used the software Patch-Surfer2.0. We applied the integrated approach to identify nicotinamide adenine dinucleotide (NAD)-binding proteins in the Escherichia coli proteome, which has over 4200 proteins. Pulse proteolysis and Patch-Surfer2.0 identified 78 and 36 potential NAD-binding proteins, respectively, including 12 proteins that were consistently detected by the two approaches. Interestingly, the 12 proteins included 8 that are not previously known as NAD binders. Further validation of these eight proteins showed that their binding affinities to NAD computed by AutoDock Vina are higher than their cognate ligands and also that their protein ratios in the pulse proteolysis are consistent with known NAD-binding proteins. These results strongly suggest that these eight proteins are indeed newly identified NAD binders.

Characterization of the Saccharomyces cerevisiae ATP-Interactome using the iTRAQ-SPROX Technique

The stability of proteins from rates of oxidation (SPROX) technique was used in combination with an isobaric mass tagging strategy to identify adenosine triphosphate (ATP) interacting proteins in the Saccharomyces cerevisiae proteome. The SPROX methodology utilized in this work enabled 373 proteins in a yeast cell lysate to be assayed for ATP interactions (both direct and indirect) using the non-hydrolyzable ATP analog, adenylyl imidodiphosphate (AMP-PNP). A total of 28 proteins were identified with AMP-PNP-induced thermodynamic stability changes. These protein hits included 14 proteins that were previously annotated as ATP-binding proteins in the Saccharomyces Genome Database (SGD). The 14 non-annotated ATP-binding proteins included nine proteins that were previously found to be ATP-sensitive in an earlier SPROX study using a stable isotope labeling with amino acids in cell culture (SILAC)-based approach. A bioinformatics analysis of the protein hits identified here and in the earlier SILAC-SPROX experiments revealed that many of the previously annotated ATP-binding protein hits were kinases, ligases, and chaperones. In contrast, many of the newly discovered ATP-sensitive proteins were not from these protein classes, but rather were hydrolases, oxidoreductases, and nucleic acid-binding proteins. Graphical Abstract ᅟ.

Designed protein reveals structural determinants of extreme kinetic stability

The design of stable, functional proteins is difficult. Improved design requires a deeper knowledge of the molecular basis for design outcomes and properties. We previously used a bioinformatics and energy function method to design a symmetric superfold protein composed of repeating structural elements with multivalent carbohydrate-binding function, called ThreeFoil. This and similar methods have produced a notably high yield of stable proteins. Using a battery of experimental and computational analyses we show that despite its small size and lack of disulfide bonds, ThreeFoil has remarkably high kinetic stability and its folding is specifically chaperoned by carbohydrate binding. It is also extremely stable against thermal and chemical denaturation and proteolytic degradation. We demonstrate that the kinetic stability can be predicted and modeled using absolute contact order (ACO) and long-range order (LRO), as well as coarse-grained simulations; the stability arises from a topology that includes many long-range contacts which create a large and highly cooperative energy barrier for unfolding and folding. Extensive data from proteomic screens and other experiments reveal that a high ACO/LRO is a general feature of proteins with strong resistances to denaturation and degradation. These results provide tractable approaches for predicting resistance and designing proteins with sufficient topological complexity and long-range interactions to accommodate destabilizing functional features as well as withstand chemical and proteolytic challenge.

Conformational Stability and Pathogenic Misfolding of the Integral Membrane Protein PMP22

Despite broad biochemical relevance, our understanding of the physiochemical reactions that limit the assembly and cellular trafficking of integral membrane proteins remains superficial. In this work, we report the first experimental assessment of the relationship between the conformational stability of a eukaryotic membrane protein and the degree to which it is retained by cellular quality control in the secretory pathway. We quantitatively assessed both the conformational equilibrium and cellular trafficking of 12 variants of the α-helical membrane protein peripheral myelin protein 22 (PMP22), the intracellular misfolding of which is known to cause peripheral neuropathies associated with Charcot–Marie–Tooth disease (CMT). We show that the extent to which these mutations influence the energetics of Zn(II)-mediated PMP22 folding is proportional to the observed reduction in cellular trafficking efficiency. Strikingly, quantitative analyses also reveal that the reduction of motor nerve conduction velocities in affected patients is proportional to the extent of the mutagenic destabilization. This finding provides compelling evidence that the effects of these mutations on the energetics of PMP22 folding lie at the heart of the molecular basis of CMT. These findings highlight conformational stability as a key factor governing membrane protein biogenesis and suggest novel therapeutic strategies for CMT.

Ligand binding to a high-energy partially unfolded protein

The conformational energy landscape of a protein determines populations of all possible conformations of the protein and also determines the kinetics of the conversion between the conformations. Interaction with ligands influences the conformational energy landscapes of proteins and shifts populations of proteins in different conformational states. To investigate the effect of ligand binding on partial unfolding of a protein, we use Escherichia coli dihydrofolate reductase (DHFR) and its functional ligand NADP(+) as a model system. We previously identified a partially unfolded form of DHFR that is populated under native conditions. In this report, we determined the free energy for partial unfolding of DHFR at varying concentrations of NADP(+) and found that NADP(+) binds to the partially unfolded form as well as the native form. DHFR unfolds partially without releasing the ligand, though the binding affinity for NADP(+) is diminished upon partial unfolding. Based on known crystallographic structures of NADP(+) -bound DHFR and the model of the partially unfolded protein we previously determined, we propose that the adenosine-binding domain of DHFR remains folded in the partially unfolded form and interacts with the adenosine moiety of NADP(+) . Our result demonstrates that ligand binding may affect the conformational free energy of not only native forms but also high-energy non-native forms.

StableIsotope Labeling with Amino Acids in Cell Culture (SILAC)-based strategy for proteome-wide thermodynamic analysis of protein-ligand binding interactions

Described here is a quantitative mass spectrometry-based proteomics method for the large-scale thermodynamic analysis of protein-ligand binding interactions. The methodology utilizes a chemical modification strategy termed, Stability of Proteins from Rates of Oxidation (SPROX), in combination with a Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) approach to compare the equilibrium folding/unfolding properties of proteins in the absence and presence of target ligands. The method, which is general with respect to ligand, measures the ligand-induced changes in protein stability associated with protein-ligand binding. The methodology is demonstrated in a proof-of-principle study in which the well-characterized protein-drug interaction between cyclosporine A (CsA) and cyclophilin A was successfully analyzed in the context of a yeast cell lysate. A control experiment was also performed to assess the method's false positive rate of ligand discovery, which was found to be on the order of 0.4 - 3.5%. The new method was utilized to characterize the adenosine triphosphate (ATP)-interactome in Saccharomyces cerevisiae using the nonhydrolyzable ATP analog, adenylyl imidodiphosphate (AMP-PNP), and the proteins in a yeast cell lysate. The new methodology enabled the interrogation of 526 yeast proteins for interactions with ATP using 2035 peptide probes. Ultimately, 325 peptide hits from 139 different proteins were identified. Approximately 70% of the hit proteins identified in this work were not previously annotated as ATP binding proteins. However, nearly two-thirds of the newly discovered ATP interacting proteins have known interactions with other nucleotides and co-factors (e.g. NAD and GTP), DNA, and RNA based on GO-term analyses. The current work is the first proteome-wide profile of the yeast ATP-interactome, and it is the largest proteome-wide profile of any ATP-interactome generated, to date, using an energetics-based method. The data is available via ProteomeXchange with identifiers PXD000858, DOI 10.6019/PXD000858, and PXD000860.

Simplified proteomics approach to discover protein-ligand interactions

Identifying targets of biologically active small molecules is an essential but still challenging task in drug research and chemical genetics. Energetics-based target identification is an approach that utilizes the change in the conformational stabilities of proteins upon ligand binding in order to identify target proteins. Different from traditional affinity-based capture approaches, energetics-based methods do not require any labeling or immobilization of the test molecule. Here, we report a surprisingly simple version of energetics-based target identification, which only requires ion exchange chromatography, SDS PAGE, and minimal use of mass spectrometry. The complexity of a proteome is reduced through fractionation by ion exchange chromatography. Urea-induced unfolding of proteins in each fraction is then monitored by the significant increase in proteolytic susceptibility upon unfolding in the presence and the absence of a ligand. Proteins showing a different degree of unfolding with the ligand are identified by SDS PAGE followed by mass spectrometry. Using this approach, we identified ATP-binding proteins in the Escherichia coli proteome. In addition to known ATP-binding proteins, we also identified a number of proteins that were not previously known to interact with ATP. To validate one such finding, we cloned and purified phosphoglyceromutase, which was not previously known to bind ATP, and confirmed that ATP indeed stabilizes this protein. The combination of fractionation and pulse proteolysis offers an opportunity to investigate protein-drug or protein-metabolite interactions on a proteomic scale with minimal instrumentation and without modification of a molecule of interest.