Dynamics Of Proteins In Solution Research Articles

N-Glycosidase Rudaea cellulosilytica (PNGase Rc) Column for the Characterization of Glycoprotein Conformational Epitopes by Hydrogen/Deuterium Exchange Mass Spectrometry (HDX-MS)

Hydrogen/deuterium exchange mass spectrometry (HDX-MS) is a sensitive technique used to study the conformational dynamics of proteins in solution. However, performing HDX-MS with N-linked glycoproteins is challenging. Analyzing glycoproteins through HDX-MS requires the use of N-glycoprotein deglycosylation enzyme (peptide: N-glycanase, abbreviated as PNGase) to deglycosylate glycoproteins. Traditional PNGases are inactive or have low activity under HDX-MS operating conditions. Here, we recommend the use of ultra-acidic N-glycopeptidase from PNGase Rc, which exhibits optimal enzymatic activity compared to other PNGases at pH 2.2. We covalently fixed PNGase Rc onto POROS resin for HDX-MS online deglycosylation. The results show that the immobilized PNGase Rc combined with pepsin column has good stability under various quenching conditions. Its online deglycosylation efficiency is better than other PNGases. Meanwhile, we used AlphaFold 2 and molecular dynamics (MD) to characterize the structure and stability of PNGase Rc and other PNGases, and demonstrated that PNGase Rc is the most stable.

Fitting Force Field Parameters to NMR Relaxation Data.

We present an approach to optimize force field parameters using time-dependent data from NMR relaxation experiments. To do so, we scan parameters in the dihedral angle potential energy terms describing the rotation of the methyl groups in proteins and compare NMR relaxation rates calculated from molecular dynamics simulations with the modified force fields to deuterium relaxation measurements of T4 lysozyme. We find that a small modification of Cγ methyl groups improves the agreement with experiments both for the protein used to optimize the force field and when validating using simulations of CI2 and ubiquitin. We also show that these improvements enable a more effective a posteriori reweighting of the MD trajectories. The resulting force field thus enables more direct comparison between simulations and side-chain NMR relaxation data and makes it possible to construct ensembles that better represent the dynamics of proteins in solution.

Hydrogen/deuterium exchange-mass spectrometry of integral membrane proteins in native-like environments: current scenario and the way forward.

Integral membrane proteins (IMPs) perform a range of diverse functions and their dysfunction underlies numerous pathological conditions. Consequently, IMPs constitute most drug targets, and the elucidation of their mechanism of action has become an intense field of research. Historically, IMP studies have relied on their extraction from membranes using detergents, which have the potential to perturbate their structure and dynamics. To circumnavigate this issue, an array of membrane mimetics has been developed that aim to reconstitute IMPs into native-like lipid environments that more accurately represent the biological membrane. Hydrogen/deuterium exchange-mass spectrometry (HDX-MS) has emerged as a versatile tool for probing protein dynamics in solution. The continued development of HDX-MS methodology has allowed practitioners to investigate IMPs using increasingly native-like membrane mimetics, and even pushing the study of IMPs into the in vivo cellular environment. Consequently, HDX-MS has come of age and is playing an ever-increasingly important role in the IMP structural biologist toolkit. In the present mini-review, we discuss the evolution of membrane mimetics in the HDX-MS context, focusing on seminal publications and recent innovations that have led to this point. We also discuss state-of-the-art methodological and instrumental advancements that are likely to play a significant role in the generation of high-quality HDX-MS data of IMPs in the future.

Efficient protein conformation dynamics characterization enabled by mobility-mass spectrometry

Protein structure dynamics in solution and from solution to gas phase are important but challenging topics. Great efforts and advances have been made especially since the wide application of ion mobility mass spectrometry (IM-MS), by which protein collision cross section (CCS) in gas phase could be measured. Due to the lack of efficient experimental methods, protein structures in protein databank are typically referred as their structures in solution. Although conventional structural biology techniques provide high-resolution protein structures, complicated and stringent processes also limit their applicability under different solvent conditions, thus preventing the capture of protein dynamics in solution. Enabled by the combination of mobility capillary electrophoresis (MCE) and IM-MS, an efficient experimental protocol was developed to characterize protein conformation dynamics in solution and from solution to gas phase. As a first attempt, key factors that affecting protein conformations were distinguished and evaluated separately, including pH, temperature, softness of ionization process, presence and specific location of disulfide bonds. Although similar extent of unfolding could be observed for different proteins, in-depth analysis reveals that pH decrease from 7.0 to 3.0 dominates the unfolding of proteins without disulfide bonds in conventional ESI-MS experiments; while harshness of the ionization process dominates the unfolding of proteins with disulfide bonds. Second, disulfide bonds show capability of preserving protein conformations in acidic solution environments. However, by monitoring protein conformation dynamics and comparing results from different proteins, it is also found that their capability is position dependent. Surprisingly, disulfide bonds did not show the capability of preserving protein conformations during ionization processes.

Quantitative Multistate Binding Model of Silica Nanoparticle-Protein Interactions Obtained from Multinuclear Spin Relaxation.

Nanoparticle-assisted NMR spin relaxation (NASR), which makes internal protein dynamics in solution directly observable on nanosecond to microsecond time scales, has been applied to different nuclei and relaxation processes of the same protein system. A model is presented describing the transient interaction between ubiquitin and anionic silica nanoparticles for the unified interpretation of a wealth of experimental data including 2H, 13C, and 15N relaxation of methyl side chain and backbone moieties. The best model, implemented using a stochastic Liouville equation, describes the exchange process via an intermediary encounter state between free and fully nanoparticle-bound protein. The implication of the three-state binding model on the interpretation of NASR data is discussed.

Development of in vivo HDX-MS with applications to a TonB-dependent transporter and other proteins.

Hydrogen‐deuterium exchange mass spectrometry (HDX‐MS) is a powerful tool that monitors protein dynamics in solution. However, the reversible nature of HDX labels has largely limited the application to in vitro systems. Here, we describe a protocol for measuring HDX‐MS in living Escherichia coli cells applied to BtuB, a TonB‐dependent transporter found in outer membranes (OMs). BtuB is a convenient and biologically interesting system for testing in vivo HDX‐MS due to its controllable HDX behavior and large structural rearrangements that occur during the B12 transport cycle. Our previous HDX‐MS study in native OMs provided evidence for B12 binding and breaking of a salt bridge termed the Ionic Lock, an event that leads to the unfolding of the amino terminus. Although purified OMs provide a more native‐like environment than reconstituted systems, disruption of the cell envelope during lysis perturbs the linkage between BtuB and the TonB complex that drives B12 transport. The in vivo HDX response of BtuB's plug domain (BtuBp) to B12 binding corroborates our previous in vitro findings that B12 alone is sufficient to break the Ionic Lock. In addition, we still find no evidence of B12 binding‐induced unfolding in other regions of BtuBp that could enable B12 passage. Our protocol was successful in reporting on the HDX of several endogenous E. coli proteins measured in the same measurement. Our success in performing HDX in live cells opens the possibility for future HDX‐MS studies in a native cellular environment.IMPORTANCEWe present a protocol for performing in vivo HDX‐MS, focusing on BtuB, a protein whose native membrane environment is believed to be mechanistically important for B12 transport. The in vivo HDX‐MS data corroborate the conclusions from our previous in vitro HDX‐MS study of the allostery initiated by B12 binding. Our success with BtuB and other proteins opens the possibility for performing additional HDX‐MS studies in a native cellular environment.

Optimized precursor to simplify assignment transfer between backbone resonances and stereospecifically labelled valine and leucine methyl groups: application to human Hsp90 N-terminal domain.

Methyl moieties are highly valuable probes for quantitative NMR studies of large proteins. Hence, their assignment is of the utmost interest to obtain information on both interactions and dynamics of proteins in solution. Here, we present the synthesis of a new precursor that allows connection of leucine and valine pro-S methyl moieties to backbone atoms by linear 13C-chains. This optimized 2H/13C-labelled acetolactate precursor can be combined with existing 13C/2H-alanine and isoleucine precursors in order to directly transfer backbone assignment to the corresponding methyl groups. Using this simple approach leucine and valine pro-S methyl groups can be assigned using a single sample without requiring correction of 1H/2H isotopic shifts on 13C resonances. The approach was demonstrated on the N-terminal domain of human HSP90, for which complete assignment of Ala-β, Ile-δ1, Leu-δ2, Met-ε, Thr-γ and Val-γ2 methyl groups was obtained.

How wide is the window opened by high-resolution relaxometry on the internal dynamics of proteins in solution?

The dynamics of molecules in solution is usually quantified by the determination of timescale-specific amplitudes of motions. High-resolution nuclear magnetic resonance (NMR) relaxometry experiments—where the sample is transferred to low fields for longitudinal (T1) relaxation, and back to high field for detection with residue-specific resolution—seeks to increase the ability to distinguish the contributions from motion on timescales slower than a few nanoseconds. However, tumbling of a molecule in solution masks some of these motions. Therefore, we investigate to what extent relaxometry improves timescale resolution, using the “detector” analysis of dynamics. Here, we demonstrate improvements in the characterization of internal dynamics of methyl-bearing side chains by carbon-13 relaxometry in the small protein ubiquitin. We show that relaxometry data leads to better information about nanosecond motions as compared to high-field relaxation data only. Our calculations show that gains from relaxometry are greater with increasing correlation time of rotational diffusion.

Insights into Solution Structures of Photosynthetic Protein Complexes from Small-Angle Scattering Methods

High-resolution structures of photosynthetic pigment–protein complexes are often determined using crystallography or cryo-electron microscopy (cryo-EM), which are restricted to the use of protein crystals or to low temperatures, respectively. However, functional studies and biotechnological applications of photosystems necessitate the use of proteins isolated in aqueous solution, so that the relevance of high-resolution structures has to be independently verified. In this regard, small-angle neutron and X-ray scattering (SANS and SAXS, respectively) can serve as the missing link because of their capability to provide structural information for proteins in aqueous solution at physiological temperatures. In the present review, we discuss the principles and prototypical applications of SANS and SAXS using the photosynthetic pigment–protein complexes phycocyanin (PC) and Photosystem I (PSI) as model systems for a water-soluble and for a membrane protein, respectively. For example, the solution structure of PSI was studied using SAXS and SANS with contrast matching. A Guinier analysis reveals that PSI in solution is virtually free of aggregation and characterized by a radius of gyration of about 75 Å. The latter value is about 10% larger than expected from the crystal structure. This is corroborated by an ab initio structure reconstitution, which also shows a slight expansion of Photosystem I in buffer solution at room temperature. In part, this may be due to conformational states accessible by thermally activated protein dynamics in solution at physiological temperatures. The size of the detergent belt is derived by comparison with SANS measurements without detergent match, revealing a monolayer of detergent molecules under proper solubilization conditions.

Protein Conformational Dynamics Probed Correlation Spectroscopy of Multiply Scattered Light

To assess the dynamics of proteins due to their external and internal degrees of freedom, we used a optical correlation spectroscopy method, that provides the spectrum of optical fluctuations due to protein dynamics in solution. In the case of acto-myosin forced out-of-equilibrium by its chemically driven motor activity, the difference spectrum between thermal and driven fluctuations reveals the frequency-amplitude properties of the conformational dynamics of myosin. This optical method is the so-called DWS (diffusive wave spectroscopy), first proposed by Maret and Wolf in 1987 (Z. Phys.). Practically, when illuminated by a highly monochromatic and coherent light beam in the strong scattering regime, the sample produces a diffusive light flux inside the sample. Outside of the sample, one obtains an intensity speckle field that is determined by the scattering properties and the spatial distribution of the scatterers, with fixed speckles if scatterers are immobile. By measuring the speckle intensity autocorrelation function, one obtains the fluctuation spectrum of the scaterrers. Using that method, we found that conformational changes of myosin occur at times-scales that are typically 2 to 3 orders of magnitude faster that the shortest time of the enzymatic activity cycle. To improve the sensitivity of that method, we introduce a new concept called Cavity Amplified Speckle Decorrelation Spectroscopy. The phase fluctuations of the light scattered by a given sample are amplified by placing it inside a closed Lambertian cavity with highly diffusively reflecting walls, which ergodically forces the light multiple times back into the sample. This new concept will be illustrated with a few biological and non-biological samples, showing that previously undetected fluctuations can be measured over 8-10 decades in the frequency domain, and resolved with unprecedented sensitivity.

Extreme Nonuniform Sampling for Protein NMR Dynamics Studies in Minimal Time.

NMR spectroscopy is an extraordinarily rich source of quantitative dynamics of proteins in solution using spin relaxation or chemical exchange saturation transfer (CEST) experiments. However, 15N-CEST measurements require prolonged multidimensional, so-called pseudo-3D HSQC experiments where the pseudo dimension is a radio frequency offset Δω of a weak 15N saturation field. Nonuniform sampling (NUS) approaches have the potential to significantly speed up these measurements, but they also carry the risk of introducing serious artifacts and the systematic optimization of nonuniform sampling schedules has remained elusive. It is demonstrated here how this challenge can be addressed by using fitted cross-peaks of a reference 2D HSQC experiment as footprints, which are subsequently used to reconstruct cross-peak amplitudes of a pseudo-3D data set as a function of Δω by a linear least-squares fit. It is shown for protein Im7 how the approach can yield highly accurate CEST profiles based on an absolutely minimally sampled (AMS) data set allowing a speed-up of a factor 20-30. Spectrum-specific optimized nonuniform sampling (SONUS) schemes based on the Cramer-Rao lower bound metric were critical to achieve such a performance, revealing also more general properties of optimal sampling schedules. This is the first systematic exploration and optimization of NUS schedules for the dramatic speed-up of quantitative multidimensional NMR measurements that minimize unwanted errors.

Backbone resonance assignment of human DJ-1 in the reduced state and in the cysteine sulfinic acid state.

DJ-1 is a highly conserved soluble protein that is associated to several cellular pathways. In humans, DJ-1 has been implicated in several pathologies such as cancer, Parkinson's disease and amyotrophic lateral sclerosis. Several roles have been attributed to DJ-1, including defense against oxidative stress, chaperone activity and proteasome regulation. The recent finding that DJ-1 acts as a protein and DNA deglycase further confirms the protective function of DJ-1 and suggests a common mechanism of action in the various pathways in which DJ-1 is involved. Cysteine 106, located in the putative active site of DJ-1, is critical for the biological activity of DJ-1 and is easily oxidized to cysteine-sulfinate. While such oxidation modulates DJ-1 activity, the underlying molecular mechanism has not yet been elucidated. Cysteine oxidation does not perturb the protein structure, therefore changes in protein dynamics in solution could modulate its function. Here, we report a revised and completed (98%) backbone assignment of reduced DJ-1, together with the backbone assignment of oxidized DJ-1. Chemical shift perturbation is observed in several regions across the sequence, while no changes in secondary structure are observed. These data will provide the starting point for further characterization of the changes in the backbone dynamics of DJ-1 upon oxidation in solution at physiological temperature.

X-ray photon correlation spectroscopy of protein dynamics at nearly diffraction-limited storage rings.

This study explores the possibility of measuring the dynamics of proteins in solution using X-ray photon correlation spectroscopy (XPCS) at nearly diffraction-limited storage rings (DLSRs). We calculate the signal-to-noise ratio (SNR) of XPCS experiments from a concentrated lysozyme solution at the length scale of the hydrodynamic radius of the protein molecule. We take into account limitations given by the critical X-ray dose and find expressions for the SNR as a function of beam size, sample-to-detector distance and photon energy. Specifically, we show that the combined increase in coherent flux and coherence lengths at the DLSR PETRA IV yields an increase in SNR of more than one order of magnitude. The resulting SNR values indicate that XPCS experiments of biological macromolecules on nanometre length scales will become feasible with the advent of a new generation of synchrotron sources. Our findings provide valuable input for the design and construction of future XPCS beamlines at DLSRs.

The Physics of Entropic Pulling: A Novel Model for the Hsp70 Motor Mechanism.

Hsp70s use ATP to generate forces that disassemble protein complexes and aggregates, and that translocate proteins into organelles. Entropic pulling has been proposed as a novel mechanism, distinct from the more familiar power-stroke and Brownian ratchet models, for how Hsp70s generate these forces. Experimental evidence supports entropic pulling, but this model may not be well understood among scientists studying these systems. In this review we address persistent misconceptions regarding the dynamics of proteins in solution that contribute to this lack of understanding, and we clarify the basic physics of entropic pulling with some simple analogies. We hope that increased understanding of the entropic pulling mechanism will inform future efforts to characterize how Hsp70s function as motors, and how they coordinate with their regulatory cochaperones in mechanochemical cycles that transduce the energy of ATP hydrolysis into physical changes in their protein substrates.

Dynamics of proteins in solution

AbstractThe dynamics of proteins in solution includes a variety of processes, such as backbone and side-chain fluctuations, interdomain motions, as well as global rotational and translational (i.e. center of mass) diffusion. Since protein dynamics is related to protein function and essential transport processes, a detailed mechanistic understanding and monitoring of protein dynamics in solution is highly desirable. The hierarchical character of protein dynamics requires experimental tools addressing a broad range of time- and length scales. We discuss how different techniques contribute to a comprehensive picture of protein dynamics, and focus in particular on results from neutron spectroscopy. We outline the underlying principles and review available instrumentation as well as related analysis frameworks.

Correction: Visualizing conformational dynamics of proteins in solution and at the cell membrane.

Correction: Visualizing conformational dynamics of proteins in solution and at the cell membrane.

Role of Computational Methods in Going beyond X-ray Crystallography to Explore Protein Structure and Dynamics.

Protein structural biology came a long way since the determination of the first three-dimensional structure of myoglobin about six decades ago. Across this period, X-ray crystallography was the most important experimental method for gaining atomic-resolution insight into protein structures. However, as the role of dynamics gained importance in the function of proteins, the limitations of X-ray crystallography in not being able to capture dynamics came to the forefront. Computational methods proved to be immensely successful in understanding protein dynamics in solution, and they continue to improve in terms of both the scale and the types of systems that can be studied. In this review, we briefly discuss the limitations of X-ray crystallography in studying protein dynamics, and then provide an overview of different computational methods that are instrumental in understanding the dynamics of proteins and biomacromolecular complexes.

Single-Unit Imaging of Membrane Protein-Embedded Nanodiscs from Two Oriented Sides by High-Speed Atomic Force Microscopy

Membrane proteins play important roles in various cellular functions. To analyze membrane proteins, nanodisc technology using membrane scaffold proteins allows single membrane protein units to be embedded into the lipid bilayer disc without detergents. Recent advancements in high-speed atomic force microscopy (HS-AFM) have enabled us to monitor the real-time dynamics of proteins in solution at the nanometer scale. In this study, we report HS-AFM imaging of membrane proteins reconstituted into nanodiscs using two membrane protein complexes, SecYEG complex and MgtE dimer. The observed images showed single particles of membrane protein-embedded nanodiscs in an end-up orientation whereby the membrane was fixed parallel to the supporting solid surface and in a side-on orientation whereby the membrane plane was vertically fixed to the solid surface, enabling the elucidation of domain fluctuations in membrane proteins. This technique provides a basic method for the high-resolution imaging of single membrane proteins by HS-AFM.

Optimized Workflow for Selecting Peptides for HDX-MS Data Analyses

Hydrogen deuterium exchange measured by mass spectrometry (HDX-MS) is a commonly used technique for studying the structural dynamics of proteins in solution. The first part of any bottom-up HDX-MS experiment is to identify the peptides generated from a digestion step. This requires manual inspection of the identified peptides to determine their use for HDX-MS analysis, which is a time-consuming task. Throughout the literature, there have been different approaches for removing peptides that do not yield quantifiable HDX information. This includes using validity scores from the software used in the generation of the peptide map and that the peptide should be found in two out of three technical replicate experiments. Here, we analyze the previously available methods for filtering the identified peptides in regard to their ability to predict whether a peptide will provide quantifiable HDX-MS data or not. We also present a new score-based system relying on a combination of MS/MS parameters that offers an improved method for separating quantifiable peptides from the nonquantifiable. Using this score-based method reduces the number of peptide spectra that needs to be manually inspected and thereby the time spent curating HDX-MS data. Graphical Abstract ᅟ.

Visualizing conformational dynamics of proteins in solution and at the cell membrane.

Conformational dynamics underlie enzyme function, yet are generally inaccessible via traditional structural approaches. FRET has the potential to measure conformational dynamics in vitro and in intact cells, but technical barriers have thus far limited its accuracy, particularly in membrane proteins. Here, we combine amber codon suppression to introduce a donor fluorescent noncanonical amino acid with a new, biocompatible approach for labeling proteins with acceptor transition metals in a method called ACCuRET (Anap Cyclen-Cu2+ resonance energy transfer). We show that ACCuRET measures absolute distances and distance changes with high precision and accuracy using maltose binding protein as a benchmark. Using cell unroofing, we show that ACCuRET can accurately measure rearrangements of proteins in native membranes. Finally, we implement a computational method for correcting the measured distances for the distance distributions observed in proteins. ACCuRET thus provides a flexible, powerful method for measuring conformational dynamics in both soluble proteins and membrane proteins.