Global Structure of the Intrinsically Disordered Protein Tau Emerges from Its Local Structure.

The paradigmatic disordered protein tau plays an important role in neuronal function and neurodegenerative diseases. To disentangle the factors controlling the balance between functional and disease-associated conformational states, we build a structural ensemble of the tau K18 fragment containing the four pseudorepeat domains involved in both microtubule binding and amyloid fibril formation. We assemble 129-residue-long tau K18 chains with atomic detail from an extensive fragment library constructed with molecular dynamics simulations. We introduce a reweighted hierarchical chain growth (RHCG) algorithm that integrates experimental data reporting on the local structure into the assembly process in a systematic manner. By combining Bayesian ensemble refinement with importance sampling, we obtain well-defined ensembles and overcome the problem of exponentially varying weights in the integrative modeling of long-chain polymeric molecules. The resulting tau K18 ensembles capture nuclear magnetic resonance (NMR) chemical shift and J-coupling measurements. Without further fitting, we achieve very good agreement with measurements of NMR residual dipolar couplings. The good agreement with experimental measures of global structure such as single-molecule Förster resonance energy transfer (FRET) efficiencies is improved further by ensemble refinement. By comparing wild-type and mutant ensembles, we show that pathogenic single-point P301L, P301S, and P301T mutations shift the population from the turn-like conformations of the functional microtubule-bound state to the extended conformations of disease-associated tau fibrils. RHCG thus provides us with an atomically detailed view of the population equilibrium between functional and aggregation-prone states of tau K18, and demonstrates that global structural characteristics of this intrinsically disordered protein emerge from its local structure.

Labeling of Proteins for Single-Molecule Fluorescence Spectroscopy.

Single-molecule fluorescence spectroscopy has become an important technique for studying the conformational dynamics and folding of proteins. A key step for performing such experiments is the availability of high-quality samples. This chapter describes a simple and widely applicable strategy for preparing proteins that are site-specifically labeled with a donor and an acceptor dye for single-molecule Förster resonance energy transfer (FRET) experiments. The method is based on introducing two cysteine residues that are labeled with maleimide-functionalized fluorophores, combined with high-resolution chromatography. We discuss how to optimize site-specific labeling even in the absence of orthogonal coupling chemistry and present purification strategies that are suitable for samples ranging from intrinsically disordered proteins to large folded proteins. We also discuss common problems in protein labeling, how to avoid them, and how to stringently control sample quality.

Resolving distance variations by single-molecule FRET and EPR spectroscopy using rotamer libraries.

Förster resonance energy transfer (FRET) and electron paramagnetic resonance (EPR) spectroscopy are complementary techniques for quantifying distances in the nanometer range. Both approaches are commonly employed for probing the conformations and conformational changes of biological macromolecules based on site-directed fluorescent or paramagnetic labeling. FRET can be applied in solution at ambient temperature and thus provides direct access to dynamics, especially if used at the single-molecule level, whereas EPR requires immobilization or work at cryogenic temperatures but provides data that can be more reliably used to extract distance distributions. However, a combined analysis of the complementary data from the two techniques has been complicated by the lack of a common modeling framework. Here, we demonstrate a systematic analysis approach based on rotamer libraries for both FRET and EPR labels to predict distance distributions between two labels from a structural model. Dynamics of the fluorophores within these distance distributions are taken into account by diffusional averaging, which improves the agreement with experiment. Benchmarking this methodology with a series of surface-exposed pairs of sites in a structured protein domain reveals that the lowest resolved distance differences can be as small as ∼0.25 nm for both techniques, with quantitative agreement between experimental and simulated transfer efficiencies within a range of ±0.045. Rotamer library analysis thus establishes a coherent way of treating experimental data from EPR and FRET and provides a basis for integrative structural modeling, including studies of conformational distributions and dynamics of biological macromolecules using both techniques.

Combining Rapid Microfluidic Mixing and Three-Color Single-Molecule FRET for Probing the Kinetics of Protein Conformational Changes.

Single-molecule Förster resonance energy transfer (FRET) is well suited for studying the kinetics of protein conformational changes, owing to its high sensitivity and ability to resolve individual subpopulations in heterogeneous systems. However, the most common approach employing two fluorophores can only monitor one distance at a time, and the use of three fluorophores for simultaneously monitoring multiple distances has largely been limited to equilibrium fluctuations. Here we show that three-color single-molecule FRET can be combined with rapid microfluidic mixing to investigate conformational changes in a protein from milliseconds to minutes. In combination with manual mixing, we extended the kinetics to 1 h, corresponding to a total range of 5 orders of magnitude in time. We studied the monomer-to-protomer conversion of the pore-forming toxin cytolysin A (ClyA), one of the largest protein conformational transitions known. Site-specific labeling of ClyA with three fluorophores enabled us to follow the kinetics of three intramolecular distances at the same time and revealed a previously undetected intermediate. The combination of three-color single-molecule FRET with rapid microfluidic mixing thus provides an approach for probing the mechanisms of complex biomolecular processes with high time resolution.

Accurate Transfer Efficiencies, Distance Distributions, and Ensembles of Unfolded and Intrinsically Disordered Proteins From Single-Molecule FRET.

Intrinsically disordered proteins (IDPs) sample structurally diverse ensembles. Characterizing the underlying distributions of conformations is a key step toward understanding the structural and functional properties of IDPs. One increasingly popular method for obtaining quantitative information on intramolecular distances and distributions is single-molecule Förster resonance energy transfer (FRET). Here we describe two essential elements of the quantitative analysis of single-molecule FRET data of IDPs: the sample-specific calibration of the single-molecule instrument that is required for determining accurate transfer efficiencies, and the use of state-of-the-art methods for inferring accurate distance distributions from these transfer efficiencies. First, we illustrate how to quantify the correction factors for instrument calibration with alternating donor and acceptor excitation measurements of labeled samples spanning a wide range of transfer efficiencies. Second, we show how to infer distance distributions based on suitably parameterized simple polymer models, and how to obtain conformational ensembles from Bayesian reweighting of molecular simulations or from parameter optimization in simplified coarse-grained models.

Local and Global Dynamics in Intrinsically Disordered Synuclein.

Intrinsically disordered proteins (IDPs) experience a diverse spectrum of motions that are difficult to characterize with a single experimental technique. Herein we combine high- and low-field nuclear spin relaxation, nanosecond fluorescence correlation spectroscopy (nsFCS), and long molecular dynamics simulations of alpha-synuclein, an IDP involved in Parkinson disease, to obtain a comprehensive picture of its conformational dynamics. The combined analysis shows that fast motions below 2 ns caused by local dihedral angle fluctuations and conformational sampling within and between Ramachandran substates decorrelate most of the backbone N-H orientational memory. However, slow motions with correlation times of up to ca. 13 ns from segmental dynamics are present throughout the alpha-synuclein chain, in particular in its C-terminal domain, and global chain reconfiguration occurs on a timescale of ca. 60 ns. Our study demonstrates a powerful strategy to determine residue-specific protein dynamics in IDPs at different time and length scales.

Structural basis of siRNA recognition by TRBP double-stranded RNA binding domains.

The accurate cleavage of pre-micro(mi)RNAs by Dicer and mi/siRNA guide strand selection are important steps in forming the RNA-induced silencing complex (RISC). The role of Dicer binding partner TRBP in these processes remains poorly understood. Here, we solved the solution structure of the two N-terminal dsRNA binding domains (dsRBDs) of TRBP in complex with a functionally asymmetric siRNA using NMR, EPR, and single-molecule spectroscopy. We find that siRNA recognition by the dsRBDs is not sequence-specific but rather depends on the RNA shape. The two dsRBDs can swap their binding sites, giving rise to two equally populated, pseudo-symmetrical complexes, showing that TRBP is not a primary sensor of siRNA asymmetry. Using our structure to model a Dicer-TRBP-siRNA ternary complex, we show that TRBP's dsRBDs and Dicer's RNase III domains bind a canonical 19 base pair siRNA on opposite sides, supporting a mechanism whereby TRBP influences Dicer-mediated cleavage accuracy by binding the dsRNA region of the pre-miRNA during Dicer cleavage.

Integrated view of internal friction in unfolded proteins from single-molecule FRET, contact quenching, theory, and simulations.

Internal friction is an important contribution to protein dynamics at all stages along the folding reaction. Even in unfolded and intrinsically disordered proteins, internal friction has a large influence, as demonstrated with several experimental techniques and in simulations. However, these methods probe different facets of internal friction and have been applied to disparate molecular systems, raising questions regarding the compatibility of the results. To obtain an integrated view, we apply here the combination of two complementary experimental techniques, simulations, and theory to the same system: unfolded protein L. We use single-molecule Förster resonance energy transfer (FRET) to measure the global reconfiguration dynamics of the chain, and photoinduced electron transfer (PET), a contact-based method, to quantify the rate of loop formation between two residues. This combination enables us to probe unfolded-state dynamics on different length scales, corresponding to different parts of the intramolecular distance distribution. Both FRET and PET measurements show that internal friction dominates unfolded-state dynamics at low denaturant concentration, and the results are in remarkable agreement with recent large-scale molecular dynamics simulations using a new water model. The simulations indicate that intrachain interactions and dihedral angle rotation correlate with the presence of internal friction, and theoretical models of polymer dynamics provide a framework for interrelating the contribution of internal friction observed in the two types of experiments and in the simulations. The combined results thus provide a coherent and quantitative picture of internal friction in unfolded proteins that could not be attained from the individual techniques.

Single-molecule spectroscopy of cold denaturation and the temperature-induced collapse of unfolded proteins.

Recent Förster resonance energy transfer (FRET) experiments show that heat-unfolded states of proteins become more compact with increasing temperature. At the same time, NMR results indicate that cold-denatured proteins are more expanded than heat-denatured proteins. To clarify the connection between these observations, we investigated the unfolded state of yeast frataxin, whose cold denaturation occurs at temperatures above 273 K, with single-molecule FRET. This method allows the unfolded state dimensions to be probed not only in the cold- and heat-denatured range but also in between, i.e., in the presence of folded protein, and can thus be used to link the two regimes directly. The results show a continuous compaction of unfolded frataxin from 274 to 320 K, with a slight re-expansion at higher temperatures. Cold- and heat-denatured states are thus essentially two sides of the same coin, and their behavior can be understood within the framework of the overall temperature dependence of the unfolded state dimensions.

Comparative analysis reveals selective recognition of glycans by the dendritic cell receptors DC-SIGN and Langerin.

DC-SIGN (dendritic cell-specific ICAM-3 grabbing non-integrin) and Langerin are homologous C-type lectins expressed as cell-surface receptors on different populations of dendritic cells (DCs). DC-SIGN interacts with glycan structures on HIV-1, facilitating virus survival, transmission and infection, whereas Langerin, which is characteristic of Langerhans cells (LCs), promotes HIV-1 uptake and degradation. Here we describe a comprehensive comparison of the glycan specificities of both proteins by probing a synthetic carbohydrate microarray comprising 275 sugar compounds using the bacterially produced and fluorescence-labeled, monomeric carbohydrate-recognition domains (CRDs) of DC-SIGN and Langerin. In this side-by-side study DC-SIGN was found to preferentially bind internal mannose residues of high-mannose-type saccharides and the fucose-containing blood-type antigens H, A, B, Le(a), Le(b) Le(x), Le(y), sialyl-Le(a) as well as sulfatated derivatives of Le(a) and Le(x). In contrast, Langerin appeared to recognize a different spectrum of compounds, especially those containing terminal mannose, terminal N-acetylglucosamine and 6-sulfogalactose residues, but also the blood-type antigens H, A and B. Of the Lewis antigens, only Le(b), Le(y), sialyl-Le(a) and the sialyl-Le(x) derivative with 6'-sulfatation at the galactose (sialyl-6SGal Le(x)) were weakly bound by Langerin. Notably, Ca(2+)-independent glycan-binding activity of Langerin could not be detected either by probing the glycan array or by isothermal titration calorimetry of the CRD with mannose and mannobiose. The precise knowledge of carbohydrate specificity of DC-SIGN and Langerin receptors resulting from our study may aid the future design of microbicides that specifically affect the DC-SIGN/HIV-1 interaction while not compromising the protective function of Langerin.

The carbohydrate recognition domain of Langerin reveals high structural similarity with the one of DC-SIGN but an additional, calcium-independent sugar-binding site.

Langerin is a type II transmembrane oligosaccharide receptor on Langerhans cells (LCs), a prominent subclass of dendritic cells (DCs) that mediate immune responses in epithelia and play a role in HIV degradation. Its extracellular moiety comprises a neck region with several heptad repeats and an exposed carboxy-terminal calcium-type carbohydrate-recognition domain (CRD). The CRD of human Langerin, which was expressed as a soluble protein in the periplasm of E. coli, was crystallized both alone and in the presence of two sugars, followed by X-ray analyses to resolutions of 2.5A for apo-Langerin and to 1.6A and 2.1A for the complexes with mannose and maltose, respectively. The fold of the Langerin CRD (dubbed LangA) resembles that of other typical C-type lectins such as DC-SIGN. However, especially in the long loop region (LLR), which is responsible for carbohydrate-binding, two additional secondary structure elements are present: a 3(10) helix and a small beta-sheet arising from the extended beta-strand 2, which enters into a hairpin and a new strand beta2'. Unexpectedly, the crystal structures in the presence of maltose and mannose reveal two sugar-binding sites. One is calcium-dependent and structurally conserved in the C-type lectin family whereas the second one represents a novel, calcium-independent type. Based on these data, a model for the binding of mannan, a component of many endogenous as well as viral glycoproteins, is proposed and the differences in binding behavior between Langerin and DC-SIGN with respect to the Lewis X carbohydrate antigen and its derivatives can be explained. Therefore, the crystal structure of LangA should be helpful for the development of new marker reagents selective for LCs and also of therapeutic compounds that may enhance the inhibitory role of Langerin towards HIV infection.