Conventional Biophysical Methods Research Articles

Initial Effect of Temperature Rise on α-Synuclein Aggregation – Entropic Forces Drive the Exposure of Protein Hydrophobic Groups Probed by Fluorescence Spectroscopy

The aberrant formation of α-synuclein (Syn) aggregates, varying in size, structure and morphology, has been linked to the development of Parkinson’s disease. In the early stages of Syn aggregation, large protein amyloid aggregates with sizes > 100 nm in hydrodynamic radius have been noticed. These low overall abundant large Syn aggregates are notoriously difficult to study by conventional biophysical methods. Due to the growing importance of studying the early stages of Syn aggregation, we developed a strategy to achieve this purpose, which is the study of the initial effect of the Syn protein aqueous solutions temperature rise. Therefore, the increase of the Syn aqueous solutions entropy by the initial effect of the temperature rise led to the exposure of the protein hydrophobic tyrosyl groups by not interfering with this amyloid protein aggregation. As an attempt to interpret the degree of the referred protein tyrosyl groups exposure, the classic rotameric conformations of the Nα-acetyl-L-tyrosinamide (NAYA) parent compound were used. For both NAYA and Syn, it was determined that the classic rotameric conformations involving the tyrosyl groups indeed accounted for their exposure under steady-state conditions of fluorescence, for lowest molecular species concentrations investigated at least. In this situation, Syn aggregation was observed. For the higher NAYA and Syn concentrations studied, the referred classic rotameric conformation were insufficient in such referred steady-state conditions and, for Syn, in particular, fluorescence anisotropy measurements revealed that less protein aggregation occurs along with its delay. Overall, the developed strategy by focusing on the initial effect of the temperature rise of Syn aqueous solutions in lower concentrations is suitable for informing us about the degree of this protein aggregation in solution.

Looking at Biomolecular Interactions through the Lens of Correlated Fluorescence Microscopy and Optical Tweezers.

Understanding complex biological events at the molecular level paves the path to determine mechanistic processes across the timescale necessary for breakthrough discoveries. While various conventional biophysical methods provide some information for understanding biological systems, they often lack a complete picture of the molecular-level details of such dynamic processes. Studies at the single-molecule level have emerged to provide crucial missing links to understanding complex and dynamic pathways in biological systems, which are often superseded by bulk biophysical and biochemical studies. Latest developments in techniques combining single-molecule manipulation tools such as optical tweezers and visualization tools such as fluorescence or label-free microscopy have enabled the investigation of complex and dynamic biomolecular interactions at the single-molecule level. In this review, we present recent advances using correlated single-molecule manipulation and visualization-based approaches to obtain a more advanced understanding of the pathways for fundamental biological processes, and how this combination technique is facilitating research in the dynamic single-molecule (DSM), cell biology, and nanomaterials fields.

Native mass spectrometry for the investigation of protein structural (dis)order

A central challenge in structural biology is represented by dynamic and heterogeneous systems, as typically represented by proteins in solution, with the extreme case of intrinsically disordered proteins (IDPs) [1–3]. These proteins lack a specific three-dimensional structure and have poorly organized secondary structure. For these reasons, they escape structural characterization by conventional biophysical methods. The investigation of these systems requires description of conformational ensembles, rather than of unique, defined structures or bundles of largely superimposable structures. Mass spectrometry (MS) has become a central tool in this field, offering a variety of complementary approaches to generate structural information on either folded or disordered proteins [4–6]. Two main categories of methods can be recognized. On one side, conformation-dependent reactions (such as cross-linking, covalent labeling, H/D exchange) are exploited to label molecules in solution, followed by the characterization of the labeling products by denaturing MS [7–11]. On the other side, non-denaturing (“native”) MS can be used to directly explore the different conformational components in terms of geometry and structural compactness [12–16]. All these approaches have in common the capability to conjugate protein structure investigation with the peculiar analytical power of MS measurements, offering the possibility of assessing species distributions for folding and binding equilibria and the combination of both. These methods can be combined with characterization of noncovalent complexes [17, 18] and post-translational modifications [19–23]. This review focuses on the application of native MS to protein structure and dynamics investigation, with a general methodological section, followed by examples on specific proteins from our laboratory.

Novel Insight into Proximal DNA Domain Interactions from Temperature‐Controlled Electrospray Ionization Mass Spectrometry

AbstractQuadruplexes are non‐canonical nucleic acid structures essential for many cellular processes. Hybrid quadruplex–duplex oligonucleotide assemblies comprised of multiple domains are challenging to study with conventional biophysical methods due to their structural complexity. Here, we introduce a novel method based on native mass spectrometry (MS) coupled with a custom‐built temperature‐controlled nanoelectrospray ionization (TCnESI) source designed to investigate interactions between proximal DNA domains. Thermal denaturation experiments were aimed to study unfolding of multi‐stranded oligonucleotide constructs derived from biologically relevant structures and to identify unfolding intermediates. Using the TCnESI MS, we observed changes in Tm and thermodynamic characteristics of proximal DNA domains depending on the number of domains, their position, and order in a single experiment.

Novel Insight into Proximal DNA Domain Interactions from Temperature-Controlled Electrospray Ionization Mass Spectrometry.

Quadruplexes are non‐canonical nucleic acid structures essential for many cellular processes. Hybrid quadruplex–duplex oligonucleotide assemblies comprised of multiple domains are challenging to study with conventional biophysical methods due to their structural complexity. Here, we introduce a novel method based on native mass spectrometry (MS) coupled with a custom‐built temperature‐controlled nanoelectrospray ionization (TCnESI) source designed to investigate interactions between proximal DNA domains. Thermal denaturation experiments were aimed to study unfolding of multi‐stranded oligonucleotide constructs derived from biologically relevant structures and to identify unfolding intermediates. Using the TCnESI MS, we observed changes in T m and thermodynamic characteristics of proximal DNA domains depending on the number of domains, their position, and order in a single experiment.

Understanding the role of bulge‐length dependent RNA stacking energetics in determining HIV‐1 TAR‐Tat peptide binding energetics in vitro and in cells

RNAs undergo conformational adaptation upon binding to proteins and small molecules to optimize inter-molecular interactions. The thermodynamic propensity of an RNA to adopt a bound conformational ensemble is an important determinant of the overall thermodynamic binding affinity. However, little is known regarding this energetic cost because it requires measuring the relative populations of low-abundance short-lived bound conformations in the apo-ensemble that may not be detectable using conventional biophysical methods. Here, using NMR-derived measurements of stacking equilibria, we examined the contribution of bulge-length dependent (n=0-7) stacking energetics on the binding affinity of the transactivation response element (TAR) to the arginine-rich motif Tat peptide. For most bulge lengths examined (n=2-7), we observe a striking linear relationship between the differences in stacking energetics and differences in binding energetics. This relationship was dependent on the ability to form a base triple. Interestingly, similar trends for bulge-dependent transactivation were observed in cell-based transactivation assays, though some differences were also observed that likely reflect additional interactions with the super elongation complex. Our results provide a framework for linking RNA dynamics to binding energetics in vitro and in vivo and highlight the importance of stacking energetics and base triple formation in the conformational adaptation of HIV-1 TAR.

Nucleic Acid Conformational Penalties from Optical Melting Experiments

Measuring the thermodynamic propensities of biomolecules to undergo conformational changes is important for understanding how they fold and function. However, this often requires accurately measuring the relative populations of low-abundance short-lived conformational states in the apo ensemble that may fall outside the detection limits of conventional biophysical methods. NMR methods for characterizing such states are costly, laborious, technically demanding, and have detection limits. Here, we developed an approach for measuring the thermodynamic propensities of nucleic acids to adopt alternative conformations using optical melting experiments and chemical modifications that are an order of magnitude faster and lower in cost compared to NMR, that in theory have no limits on population and timescale, and molecular size. A broad range of applications validated by NMR data establish the generality of the approach, which enabled thermodynamic mapping of the sequence-dependence of the energetics of DNA conformational substates and the characterization of ultra-low abundance conformational states invisible to NMR.

Exposing Hidden High-Affinity RNA Conformational States.

RNA recognition frequently results in conformational changes that optimize intermolecular binding. As a consequence, the overall binding affinity of RNA to its binding partners depends not only on the intermolecular interactions formed in the bound state but also on the energy cost associated with changing the RNA conformational distribution. Measuring these "conformational penalties" is, however, challenging because bound RNA conformations tend to have equilibrium populations in the absence of the binding partner that fall outside detection by conventional biophysical methods. In this study we employ as a model system HIV-1 TAR RNA and its interaction with the ligand argininamide (ARG), a mimic of TAR's cognate protein binding partner, the transactivator Tat. We use NMR chemical shift perturbations and relaxation dispersion in combination with Bayesian inference to develop a detailed thermodynamic model of coupled conformational change and ligand binding. Starting from a comprehensive 12-state model of the equilibrium, we estimate the energies of six distinct detectable thermodynamic states that are not accessible by currently available methods. Our approach identifies a minimum of four RNA intermediates that differ in terms of the TAR conformation and ARG occupancy. The dominant bound TAR conformation features two bound ARG ligands and has an equilibrium population in the absence of ARG that is below detection limit. Consequently, even though ARG binds to TAR with an apparent overall weak affinity (Kdapp ≈ 0.2 mM), it binds the prefolded conformation with a Kd in the nM range. Our results show that conformational penalties can be major determinants of RNA-ligand binding affinity as well as a source of binding cooperativity, with important implications for a predictive understanding of how RNA is recognized and for RNA-targeted drug discovery.

Microfluidic Diffusion Platform for Characterizing the Sizes of Lipid Vesicles and the Thermodynamics of Protein–Lipid Interactions

Elucidation of the fundamental interactions of proteins with biological membranes under native conditions is crucial for understanding the molecular basis of their biological function and malfunction. Notably, the large surface to volume ratio of living cells provides a molecular landscape for significant interactions of cellular components with membranes, thereby potentially modulating their function. However, such interactions can be challenging to probe using conventional biophysical methods due to the heterogeneity of the species and processes involved. Here, we use direct measurements of micron scale molecular diffusivity to detect and quantify the interactions of α-synuclein, associated with the etiology of Parkinson's disease, with negatively charged lipid vesicles. We further demonstrate that this microfluidic approach enables the characterization of size distributions of different binary mixtures of vesicles, which are not readily accessible using conventional light scattering techniques. Finally, the size distributions of the two α-synuclein conformations, free α-synuclein and membrane-bound α-synuclein, were resolved under varying lipid:protein ratios, thus, allowing the determination of the dissociation constant and the binding stoichiometry associated with this protein-lipid system. The microfluidic diffusional sizing platform allows these measurements to be performed on a time scale of minutes using microlitre volumes, thus, establishing the basis for an approach for the study of molecular interactions of heterogeneous systems under native conditions.

Probing amyloid protein aggregation with optical superresolution methods: from the test tube to models of disease.

The misfolding and self-assembly of intrinsically disordered proteins into insoluble amyloid structures are central to many neurodegenerative diseases such as Alzheimer's and Parkinson's diseases. Optical imaging of this self-assembly process in vitro and in cells is revolutionizing our understanding of the molecular mechanisms behind these devastating conditions. In contrast to conventional biophysical methods, optical imaging and, in particular, optical superresolution imaging, permits the dynamic investigation of the molecular self-assembly process in vitro and in cells, at molecular-level resolution. In this article, current state-of-the-art imaging methods are reviewed and discussed in the context of research into neurodegeneration.

Quantitative and simultaneous non-invasive measurement of skin hydration and sebum levels.

We report a method on quantitative and simultaneous non-contact in-vivo hydration and sebum measurements of the skin using an infrared optical spectroscopic set-up. The method utilizes differential detection with three wavelengths 1720, 1750, and 1770 nm, corresponding to the lipid vibrational bands that lay "in between" the prominent water absorption bands. We have used an emulsifier containing hydro- and lipophilic components to mix water and sebum in various volume fractions which was applied to the skin to mimic different oily-dry skin conditions. We also measured the skin sebum and hydration values on the forehead under natural conditions and its variations to external stimuli. Good agreement was found between our experimental results and reference values measured using conventional biophysical methods such as Corneometer and Sebumeter.

Intrinsic unfoldase/foldase activity of the chaperonin GroEL directly demonstrated using multinuclear relaxation-based NMR

The prototypical chaperonin GroEL assists protein folding through an ATP-dependent encapsulation mechanism. The details of how GroEL folds proteins remain elusive, particularly because encapsulation is not an absolute requirement for successful re/folding. Here we make use of a metastable model protein substrate, comprising a triple mutant of Fyn SH3, to directly demonstrate, by simultaneous analysis of three complementary NMR-based relaxation experiments (lifetime line broadening, dark state exchange saturation transfer, and Carr-Purcell-Meinboom-Gill relaxation dispersion), that apo GroEL accelerates the overall interconversion rate between the native state and a well-defined folding intermediate by about 20-fold, under conditions where the "invisible" GroEL-bound states have occupancies below 1%. This is largely achieved through a 500-fold acceleration in the folded-to-intermediate transition of the protein substrate. Catalysis is modulated by a kinetic deuterium isotope effect that reduces the overall interconversion rate between the GroEL-bound species by about 3-fold, indicative of a significant hydrophobic contribution. The location of the GroEL binding site on the folding intermediate, mapped from (15)N, (1)HN, and (13)Cmethyl relaxation dispersion experiments, is composed of a prominent, surface-exposed hydrophobic patch.

Packing in molten globules and native states

Close packing of hydrophobic residues in the protein interior is an important determinant of protein stability. Cavities introduced by large to small substitutions are known to destabilize proteins. Conversely, native states of proteins and protein fragments can be stabilized by filling in existing cavities. Molten globules (MGs) were initially used to describe a state of protein which has well-defined secondary structure but little or no tertiary packing. Subsequent studies have shown that MGs do have some degree of native-like topology and specific packing. Wet molten globules (WMGs) with hydrated cores and considerably decreased packing relative to the native state have been studied extensively. Recently there has been renewed interest in identification and characterization of dry molten globules (DMGs). These are slightly expanded forms of the native state which show increased conformational flexibility, native-like main-chain hydrogen bonding and dry interiors. The generality of occurrence of DMGs during protein unfolding and the extent and nature of packing in DMGs remain to be elucidated. Packing interactions in native proteins and MGs can be probed through mutations. Next generation sequencing technologies make it possible to determine relative populations of mutants in a large pool. When this is coupled to phenotypic screens or cell-surface display, it becomes possible to rapidly examine large panels of single-site or multi-site mutants. From such studies, residue specific contributions to protein stability and function can be estimated in a highly parallelized fashion. This complements conventional biophysical methods for characterization of packing in native states and molten globules.

Mechanisms of small-molecule binding to intrinsically disordered proteins

IDPs (intrinsically disordered proteins) play crucial roles in many important cellular processes such as signalling or transcription and are attractive therapeutic targets for several diseases. The considerable structural flexibility of IDPs poses a challenge for rational drug discovery approaches. Consequently, structure-based drug design efforts to date have mostly focused on inhibiting interactions of IDPs with other proteins whose structure can be solved by conventional biophysical methods. Yet, in recent years, several examples of small molecules that bind to monomeric IDPs in their disordered states have been reported, suggesting that this approach may offer new opportunities for therapeutic interventions. Further developments of this strategy will greatly benefit from an improved understanding of molecular recognition mechanisms between small molecules and IDPs. The present article summarizes findings from experimental and computational studies of the mechanisms of interaction between small molecules and three IDPs in their disordered states: c-Myc, Aβ (amyloid β-peptide) and α-synuclein.

Mass spectrometric studies of dissociation constants of noncovalent complexes

Specific interactions among biomolecules to form noncovalently bound complexes play a pivotal role in key cellular processes such as cell division, cell signalling, gene transcription and translation. The propensity of noncovalently bound complexes to dissociate into their components can be quantified and constants of dissociation (Kd) can be obtained by various methods. Mass spectrometry has become an important method to measure Kd. The advent of soft ionisation techniques, in particular electrospray ionisation (ESI) and matrix-assisted laser desorption/ionisation (MALDI) has established mass spectrometry as a viable technique for investigating noncovalent interactions and for quantifying their binding strengths. Under carefully chosen experimental and instrumental conditions, it is possible to observe intact noncovalent complexes in the gas phase using ESI and MALDI, and to use the mass spectra as a read-out for determining solution-phase Kd. Compared to other biophysical methods, mass spectrometry is highly sensitive and fast, and gives additional information about the stoichiometry and specificity of noncovalent interactions. This review focuses on recent MS-based methodologies for quantification of binding strengths, in particular those that promise to complement conventional biophysical methods.

Hen egg white lysozyme fibrillation: a deep‐UV resonance Raman spectroscopic study

Amyloid fibrils are associated with numerous degenerative diseases. The molecular mechanism of the structural transformation of native protein to the highly ordered cross-beta structure, the key feature of amyloid fibrils, is under active investigation. Conventional biophysical methods have limited application in addressing the problem because of the heterogeneous nature of the system. In this study, we demonstrated that deep-UV resonance Raman (DUVRR) spectroscopy in combination with circular dichroism (CD) and intrinsic tryptophan fluorescence allowed for quantitative characterization of protein structural evolution at all stages of hen egg white lysozyme fibrillation in vitro. DUVRR spectroscopy was found to be complimentary to the far-UV CD because it is (i) more sensitive to beta -sheet than to alpha -helix, and (ii) capable of characterizing quantitatively inhomogeneous and highly light-scattering samples. In addition, phenylalanine, a natural DUVRR spectroscopic biomarker of protein structural rearrangements, exhibited substantial changes in the Raman cross section of the 1000-cm(-1) band at various stages of fibrillation.

Comprehensive Analysis of the Factors Contributing to the Stability and Solubility of Autonomous Human VH Domains

We report a comprehensive analysis of sequence features that allow for the production of autonomous human heavy chain variable (V(H)) domains that are stable and soluble in the absence of a light chain partner. Using combinatorial phage-displayed libraries and conventional biophysical methods, we analyzed the entire former light chain interface and the third complementarity determining region (CDR3). Unlike the monomeric variable domains of camelid heavy chain antibodies (V(H)H domains), in which autonomous behavior depends on interactions between the hydrophobic former light chain interface and CDR3, we find that the stability of many in vitro evolved V(H) domains is essentially independent of the CDR3 sequence and instead derives from mutations that increase the hydrophilicity of the former light chain interface by replacing exposed hydrophobic residues with structurally compatible hydrophilic substitutions. The engineered domains can be expressed recombinantly at high yield, are predominantly monomeric at high concentrations, unfold reversibly, and are even more thermostable than typical camelid V(H)H domains. Many of the stabilizing mutations are rare in natural V(H) and V(H)H domains and thus could not be predicted by studying natural sequences and structures. The results demonstrate that autonomous V(H) domains with structural properties beyond the scope of natural frameworks can be derived by using non-natural mutations, which differ from those found in camelid V(H)H domains. These findings should enable the development of libraries of synthetic V(H) domains with CDR3 diversities unconstrained by structural demands.