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Alzheimer's disease is characterized by the accumulation of amyloid-[beta] plaques, aggregation of hyperphosphorylated tau (pTau), and microglia activation. Galectin-3 (Gal3) is a [beta]-galactoside- binding protein that has been implicated in amyloid pathology. Its role in tauopathy remains enigmatic. Here, we showed that Gal3 was upregulated in the microglia of humans and mice with tauopathy. pTau triggered the release of Gal3 from human induced pluripotent stem cell-derived microglia in both its free and extracellular vesicular-associated (EV-associated) forms. Both forms of Gal3 increased the accumulation of pathogenic tau in recipient cells. Binding of Gal3 to pTau greatly enhanced tau fibrillation. Besides Gal3, pTau was sorted into EVs for transmission. Moreover, pTau markedly enhanced the number of EVs released by iMGL in a Gal3-dependent manner, suggesting a role of Gal3 in biogenesis of EVs. Single-cell RNA-Seq analysis of the hippocampus of a mouse model of tauopathy (THY-Tau22) revealed a group of pathogenic tau-evoked, Gal3- associated microglia with altered cellular machineries implicated in neurodegeneration, including enhanced immune and inflammatory responses. Genetic removal of Gal3 in THY-Tau22 mice suppressed microglia activation, reduced the level of pTau and synaptic loss in neurons, and rescued memory impairment. Collectively, Gal3 is a potential therapeutic target for tauopathy., Introduction Neuronal inclusions consisting of the microtubule-associated protein tau are found in various neurodegenerative diseases known as tauopathies. Alzheimer's disease (AD) is the most prevalent tauopathy and is characterized by [...]

Conserved residues in protein homolog sequence alignments are structurally or functionally important. For intrinsically disordered proteins or proteins with intrinsically disordered regions (IDRs), however, alignment often fails because they lack a steric structure to constrain evolution. Although sequences vary, the physicochemical features of IDRs may be preserved in maintaining function. Therefore, a method to retrieve common IDR features may help identify functionally important residues. We applied unsupervised contrastive learning to train a model with self‐attention neuronal networks on human IDR orthologs. Parameters in the model were trained to match sequences in ortholog pairs but not in other IDRs. The trained model successfully identifies previously reported critical residues from experimental studies, especially those with an overall pattern (e.g., multiple aromatic residues or charged blocks) rather than short motifs. This predictive model can be used to identify potentially important residues in other proteins, improving our understanding of their functions. The trained model can be run directly from the Jupyter Notebook in the GitHub repository using Binder (mybinder.org). The only required input is the primary sequence. The training scripts are available on GitHub (https://github.com/allmwh/IFF). The training datasets have been deposited in an Open Science Framework repository (https://osf.io/jk29b). [ABSTRACT FROM AUTHOR]

Aromatic residues appeared relatively late in the evolution of protein sequences to stabilize the globular proteins' folding core and are less in the intrinsically disordered regions (IDRs). Recent advances in protein liquid–liquid phase separation (LLPS) studies have also shown that aromatic residues in IDRs often act as "stickers" to promote multivalent interactions in forming higher‐order oligomers. To study how general these structure‐promoting residues are in IDRs, we compared levels of sequence disorder in RNA binding proteins (RBPs), which are often found to undergo LLPS, and the human proteome. We found that aromatic residues appear more frequently than expected in the IDRs of RBPs and, through multiple sequence alignment analysis, those aromatic residues are often conserved among chordates. Using TDP‐43, FUS, and some other well‐studied LLPS proteins as examples, the conserved aromatic residues are important to their LLPS‐related functions. These analyses suggest that aromatic residues may have contributed twice to evolution: stabilizing structured proteins and assembling biomolecular condensates. [ABSTRACT FROM AUTHOR]

Background and aims: Post-tuberculosis bronchial stenosis (PTBS) is one of the most common complications of tracheobronchial tuberculosis. Silicone stent serves as a major treatment for maintaining airway patency. However, silicone stent placement remains a large challenge in patients with severe cicatricial PTBS. Our objective was to evaluate the efficacy and safety of covered, self-expanding, metallic stents (SEMSs) as a transition to silicone stent implantation for treating severe PTBS. Methods: We retrospectively reviewed the data of patients with severe PTBS who received airway stenting in the First Affiliated Hospital of Guangdong Medical University between September 2015 and May 2019. The types of the stent, intervention procedures, bronchoscopic findings, clinical outcomes and related complications were collected and analyzed. Results: Fifty-eight cases with severe PTBS were included in this study. Thirteen (22.4%) of the patients received bronchial silicone stent implantation immediately after dilations. For the remaining 45 (77.6%) patients, silicone stents could not be deployed after dilations and SEMSs implantation was implemented as a bridge to silicone stenting. The SEMSs were placed for an interval of 28.4 ± 11.1 days. All of the silicone stents were inserted successfully following the removal of SEMSs. No SEMS-related complication occurred. The subgroup analysis showed that patients who received transitional SEMSs had less luminal caliber but fewer transbronchial dilations before silicone stent implantation (p < 0.05). Conclusion: Covered SEMS placement as a transition to silicone stenting could serve as a feasible procedure to reduce complications and improve the success rate of silicone stent implantation in patients with severe PTBS. The reviews of this paper are available via the supplemental material section. [ABSTRACT FROM AUTHOR]

Conformational analysis: An approach to the prediction of RDCs from disordered protein chains, integrating the effect of nearest neighbors and the alignment characteristics of the statistical coil, is reported. NMR residual dipolar couplings (RDC) are sensitive probes of conformational sampling in unfolded proteins (see picture). [ABSTRACT FROM AUTHOR]

Motivation: Intrinsically disordered proteins (IDPs) represent a significant fraction of the human proteome. The classical structure function paradigm that has successfully underpinned our understanding of molecular biology breaks down when considering proteins that have no stable tertiary structure in their functional form. One convenient approach is to describe the protein in terms of an equilibrium of rapidly inter-converting conformers. Currently, tools to generate such ensemble descriptions are extremely rare, and poorly adapted to the prediction of experimental data.Results: We present flexible-meccano—a highly efficient algorithm that generates ensembles of molecules, on the basis of amino acid-specific conformational potentials and volume exclusion. Conformational sampling depends uniquely on the primary sequence, with the possibility of introducing additional local or long-range conformational propensities at an amino acid-specific resolution. The algorithm can also be used to calculate expected values of experimental parameters measured at atomic or molecular resolution, such as nuclear magnetic resonance (NMR) and small angle scattering, respectively. We envisage that flexible-meccano will be useful for researchers who wish to compare experimental data with those expected from a fully disordered protein, researchers who see experimental evidence of deviation from ‘random coil’ behaviour in their protein, or researchers who are interested in working with a broad ensemble of conformers representing the flexibility of the IDP of interest.Availability: A fully documented multi-platform executable is provided, with examples, at http://www.ibs.fr/science-213/scientific-output/software/flexible-meccano/Contact: martin.blackledge@ibs.fr [ABSTRACT FROM PUBLISHER]

The detailed, quantitative characterization of unfolded proteins is a largely unresolved task due to the enormous experimental and theoretical difficulties in describing the highly dimensional space of their conformational ensembles. Recently, residual dipolar coupling (RDC) and paramagnetic relaxation enhancement (PRE) data have provided large numbers of experimental parameters on unfolded states. To obtain a minimal model of the unfolded state according to such data we have developed new modules for the use of steric alignment RDCs and PREs as constraints in ensemble structure calculations by the program XPLOR-NIH. As an example, ensemble calculations were carried out on urea-denatured ubiquitin using a total of 419 previously obtained RDCs and 253 newly determined PREs from eight cysteine mutants coupled to MTSL. The results show that only a small number of about 10 conformers is necessary to fully reproduce the experimental RDCs, PREs and average radius of gyration. Cα contacts determined on a large set (400) of 10-conformer ensembles show significant (10-20%) populations of conformations that are similar to ubiquitin's A-state, i.e. corresponding to an intact native first β-hairpin and α-helix as well as non-native a-helical conformations in the C-terminal half. Thus, methanol/acid (A-state) and urea denaturation lead to similar low energy states of the protein ensemble, presumably due to the weakening of the hydrophobic core. Similar contacts are obtained in calculations using solely RDCs or PREs. The sampling statistics of the Cα contacts in the ensembles follow a simple binomial distribution. It follows that the present RDC, PRE, and computational methods allow the statistically significant detection of subconformations in the unfolded ensemble at population levels of a few percent. [ABSTRACT FROM AUTHOR]

Abstract: We present a study of the denaturation of a truncated, cycle3 variant of green fluorescent protein (GFP). Chemical denaturation is used to unfold the protein, with changes in structure being monitored by the green fluorescence, tyrosine fluorescence and far-UV circular dichroism. The results show that the denaturation behaviour of GFP is complex compared to many small proteins: equilibrium is established only very slowly, over the time course of weeks, suggesting that there are high folding/unfolding energy barriers. Unfolding kinetics confirm that the rates of unfolding at low concentrations of denaturant are very low, consistent with the slow establishment of the equilibrium. In addition, we find that GFP significantly populates an intermediate state under equilibrium conditions, which is compact and stable with respect to the unfolded state (m IU =4.6 kcal mol−1 M−1 and ΔG IU =12.5 kcal mol−1). The global and local stability of GFP was probed further by measuring the hydrogen/deuterium (H/D) NMR exchange rates of more than 157 assigned amide protons. Analysis at two different values of pH showed that amide protons within the β-barrel structure exchange at the EX2 limit, consequently, free energies of exchange could be calculated and compared to those obtained from the denaturation-curve studies providing further support for the three-state model and the existence of a stable intermediate state. Analysis reveals that amide protons in β-strands 7, 8, 9 and 10 have, on average, higher exchange rates than others in the β-barrel, suggesting that there is greater flexibility in this region of the protein. Forty or so amide protons were found which do not undergo significant exchange even after several months and these are clustered into a core region encompassing most of the β-strands, at least at one end of the barrel structure. It is likely that these residues play an important role in stabilizing the structure of the intermediate state. The intermediate state observed in the chemical denaturation studies described here, is similar to that observed at pH 4 in other studies. [Copyright &y& Elsevier]

Most biological functions involve protein–protein interactions. Our understanding of these interactions is based mainly on those of structured proteins, because encounters between intrinsically disordered proteins (IDPs) or proteins with intrinsically disordered regions (IDRs) are much less studied, regardless of the fact that more than half eukaryotic proteins contain IDRs. RNA-binding proteins (RBPs) are a large family whose members almost all have IDRs in addition to RNA binding domains. These IDRs, having low sequence similarity, interact, but structural details on these interactions are still lacking. Here, using the IDRs of two RBPs (hnRNA-A2 and TDP-43) as a model, we demonstrate that the rate at which TDP-43′s IDR undergoes the neurodegenerative disease related α-helix-to-β-sheet transition increases in relation to the amount of hnRNP-A2′s IDR that is present. There are more than 1500 RBPs in human cells and most of them have IDRs. RBPs often join the same complexes to regulate genes. In addition to the structured RNA-recognition motifs, our study demonstrates a general mechanism through which RBPs may regulate each other's functions through their IDRs. [ABSTRACT FROM AUTHOR]

RNA-binding proteins (RBPs) have intrinsically disordered regions (IDRs) whose biophysical properties have yet to be explored to the same extent as those of the folded RNA interacting domains. These IDRs are essential to the formation of biomolecular condensates, such as stress and RNA granules, but dysregulated assembly can be pathological. Because of their structural heterogeneity, IDRs are best studied by NMR spectroscopy. In this study, we used NMR spectroscopy to investigate the structural propensity and self-association of the IDR of the RBP Musashi-1. We identified two transient α-helical regions (residues ~208–218 and ~270–284 in the IDR, the latter with a polyalanine tract). Strong NMR line broadening in these regions and circular dichroism and micrography data suggest that the two α-helical elements and the hydrophobic residues in between may contribute to the formation of oligomers found in stress granules and implicated in Alzheimer's disease. Bioinformatics analysis suggests that polyalanine stretches in the IDRs of RBPs may have evolved to promote RBP assembly. [ABSTRACT FROM AUTHOR]

NMR spectroscopy is a powerful method for studying disordered proteins, providing atomic resolution and ensemble‐averaged information. In their Communication on page 687 ff., M. Blackledge et al. show that by analyzing local and long‐range effects, residual dipolar couplings can be determined up to six orders of magnitude faster than by existing techniques. [ABSTRACT FROM AUTHOR]

NMR ‐ Spektroskopie ist eine leistungsstarke Methode zur Untersuchung ungeordneter Proteine, die atomare Auflösung und über das Ensemble gemittelte Information liefert. In ihrer Zuschrift auf S. 715 ff. zeigen M. Blackledge et al., dass durch Analyse von lokalen und weitreichenden Effekten dipolare Restkopplungen um bis zu sechs Größenordnungen schneller bestimmt werden können als mit existierenden Methoden. [ABSTRACT FROM AUTHOR]

Current NMR information on side-chain conformations of unfolded protein states is sparse due to the poor dispersion particularly of side-chain proton resonances. We present here optimized schemes for the detection of 3JHαHβ, 3JNHβ and 3JC'Hβ scalar and 1DC'lHβ residual dipolar couplings (RDCs) in unfolded proteins. For urea-denatured ubiquitin and protein G, up to six 3J-couplings to 1Hβ are detected, which define the ϰ1 angle at very high precision. Interpretation of the 3Jcouplings by a model of mixed staggered ϰ1 rotamers yields excellent agreement and also provides stereoassignments for 1Hβ methylene protons. For all observed amino acids with the exception of leucine, the chemical shift of 1H133 protons was found downfield from 1Hβ. For most residues, the precision of individual ϰ1 rotamer populations is better than 2%. The experimental ϰ1 rotamer populations are in the vicinity of averages obtained from coil regions in folded protein structures. However, individual variations from these averages of up to 40% are highly significant and indicate sequence- and residue-specific interactions. Particularly strong deviations from the coil average are found for serine and threonine residues, an effect that may be explained by a weakening of side-chain to backbone hydrogen bonds in the urea-denatured state. The measured 1DCβHβ RDCs correlate well with predicted RDCs that were calculated from a sterically aligned coil model ensemble and the 3J-derived Xi rotamer populations. This agreement supports the coil model as a good first approximation of the unfolded state. Deviations between measured and predicted values at certain sequence locations indicate that the description of the local backbone conformations can be improved by incorporation of the RDC information. The ease of detection of a large number of highly precise side-chain RDCs opens the possibility for a more rigorous characterization of both side-chain and backbone conformations in unfolded proteins. [ABSTRACT FROM AUTHOR]

Conserved residues in protein homolog sequence alignments are structurally or functionally important. For intrinsically disordered proteins or proteins with intrinsically disordered regions (IDRs), however, alignment often fails because they lack a steric structure to constrain evolution. Although sequences vary, the physicochemical features of IDRs may be preserved in maintaining function. Therefore, a method to retrieve common IDR features may help identify functionally important residues. We applied unsupervised contrastive learning to train a model with self-attention neuronal networks on human IDR orthologs. Parameters in the model were trained to match sequences in ortholog pairs but not in other IDRs. The trained model successfully identifies previously reported critical residues from experimental studies, especially those with an overall pattern (e.g., multiple aromatic residues or charged blocks) rather than short motifs. This predictive model can be used to identify potentially important residues in other proteins, improving our understanding of their functions. The trained model can be run directly from the Jupyter Notebook in the GitHub repository using Binder (mybinder.org). The only required input is the primary sequence. The training scripts are available on GitHub (https://github.com/allmwh/IFF). The training datasets have been deposited in an Open Science Framework repository (https://osf.io/jk29b)., (© 2023 The Protein Society.)

Aromatic residues appeared relatively late in the evolution of protein sequences to stabilize the globular proteins' folding core and are less in the intrinsically disordered regions (IDRs). Recent advances in protein liquid-liquid phase separation (LLPS) studies have also shown that aromatic residues in IDRs often act as "stickers" to promote multivalent interactions in forming higher-order oligomers. To study how general these structure-promoting residues are in IDRs, we compared levels of sequence disorder in RNA binding proteins (RBPs), which are often found to undergo LLPS, and the human proteome. We found that aromatic residues appear more frequently than expected in the IDRs of RBPs and, through multiple sequence alignment analysis, those aromatic residues are often conserved among chordates. Using TDP-43, FUS, and some other well-studied LLPS proteins as examples, the conserved aromatic residues are important to their LLPS-related functions. These analyses suggest that aromatic residues may have contributed twice to evolution: stabilizing structured proteins and assembling biomolecular condensates., (© 2022 The Protein Society.)

Eukaryotic cells contain distinct organelles, but not all of these compartments are enclosed by membranes. Some intrinsically disordered proteins mediate membraneless organelle formation through liquid-liquid phase separation (LLPS). LLPS facilitates many biological functions such as regulating RNA stability and ribonucleoprotein assembly, and disruption of LLPS pathways has been implicated in several diseases. Proteins exhibiting LLPS typically have low sequence complexity and specific repeat motifs. These motifs promote multivalent connections with other molecules and the formation of higher-order oligomers, and their removal usually prevents LLPS. The intrinsically disordered C-terminal domain of TAR DNA-binding protein 43 (TDP-43), a protein involved in motor neuron disease and dementia lacks a dominant LLPS motif, however, and how this domain forms condensates is unclear. Using extensive mutagenesis of TDP-43, we demonstrate here that three tryptophan residues and, to a lesser extent, four other aromatic residues are most important for TDP-43 to undergo LLPS. Our results also suggested that only a few residues may be required for TDP-43 LLPS because the α-helical segment (spanning ∼20 residues) in the middle part of the C-terminal domain tends to self-assemble, reducing the number of motifs required for forming a multivalent connection. Our results indicating that a self-associating α-helical element with a few key residues regulates condensate formation highlight a different type of LLPS involving intrinsically disordered regions. The C-terminal domain of TDP-43 contains ∼50 disease-related mutations, with no clear physicochemical link between them. We propose that they may disrupt LLPS indirectly by interfering with the key residues identified here., (© 2018 by The American Society for Biochemistry and Molecular Biology, Inc.)

Galectins are a family of lectins that bind β-galactosides through their conserved carbohydrate recognition domain (CRD) and can induce aggregation with glycoproteins or glycolipids on the cell surface and thereby regulate cell activation, migration, adhesion, and signaling. Galectin-3 has an intrinsically disordered N-terminal domain and a canonical CRD. Unlike the other 14 known galectins in mammalian cells, which have dimeric or tandem-repeated CRDs enabling multivalency for various functions, galectin-3 is monomeric, and its functional multivalency therefore is somewhat of a mystery. Here, we used NMR spectroscopy, mutagenesis, small-angle X-ray scattering, and computational modeling to study the self-association-related multivalency of galectin-3 at the residue-specific level. We show that the disordered N-terminal domain (residues ∼20-100) interacts with itself and with a part of the CRD not involved in carbohydrate recognition (β-strands 7-9; residues ∼200-220), forming a fuzzy complex via inter- and intramolecular interactions, mainly through hydrophobicity. These fuzzy interactions are characteristic of intrinsically disordered proteins to achieve liquid-liquid phase separation, and we demonstrated that galectin-3 can also undergo liquid-liquid phase separation. We propose that galectin-3 may achieve multivalency through this multisite self-association mechanism facilitated by fuzzy interactions., (© 2017 by The American Society for Biochemistry and Molecular Biology, Inc.)

Directed cell migration is an important step in effective wound healing and requires the dynamic control of the formation of cell-extracellular matrix interactions. Plasma fibronectin is an extracellular matrix glycoprotein present in blood plasma that plays crucial roles in modulating cellular adhesion and migration and thereby helping to mediate all steps of wound healing. In order to seek safe sources of plasma fibronectin for its practical use in wound dressing, we isolated fibronectin from human (homo) and porcine plasma and demonstrated that both have a similar ability as a suitable substrate for the stimulation of cell adhesion and for directing cell migration. In addition, we also defined the N-glycosylation sites and N-glycans present on homo and porcine plasma fibronectin. These N-glycosylation modifications of the plasma fibronectin synergistically support the integrin-mediated signals to bring about mediating cellular adhesion and directed cell migration. This study not only determines the important function of N-glycans in both homo and porcine plasma fibronectin-mediated cell adhesion and directed cell migration, but also reveals the potential applications of porcine plasma fibronectin if it was applied as a material for clinical wound healing and tissue repair., Competing Interests: CONFLICTS OF INTEREST The authors declare that they have no conflicts of interest

Intrinsically disordered linkers provide multi-domain proteins with degrees of conformational freedom that are often essential for function. These highly dynamic assemblies represent a significant fraction of all proteomes, and deciphering the physical basis of their interactions represents a considerable challenge. Here we describe the difficulties associated with mapping the large-scale domain dynamics and describe two recent examples where solution state methods, in particular NMR spectroscopy, are used to investigate conformational exchange on very different timescales.

In NMR experiments, the chemical shift is typically the first parameter measured and is a source of structural information for biomolecules. Indeed, secondary chemical shifts, the difference between the measured chemical shifts and those expected for a randomly oriented sequence of peptides (the &quot;random coil&quot;), are correlated with the secondary structure of proteins; secondary shift analysis is thereby a standard approach in structural biology. For intrinsically disordered or denatured proteins furthermore, secondary chemical shifts reveal the propensity of particular segments to form different secondary structures. However, because the atoms in unfolded proteins all have very similar chemical environments, the chemical shifts measured for a certain atom type vary less than in globular proteins. Since chemical shifts can be measured precisely, the secondary chemical shifts calculated for an unfolded system depend mainly on the particular random coil chemical shift database chosen as a point of reference. Certain databases correct the random coil shift for a given residue based on its neighbors in the amino acid sequence. However, these corrections are typically derived from the analysis of model peptides; there have been relatively few direct and systematic studies of the effect of neighboring residues for specific amino acid sequences in disordered proteins. For the study reported here, we used the intrinsically disordered C-terminal domain of TDP-43, which has a highly repetitive amino-acid sequence, as a model system. We assigned the chemical shifts of this protein at low pH in urea. Our results demonstrate that the identity of the nearest neighbors is decisive in determining the value of the chemical shift for atoms in a random coil arrangement. Based on these observations, we also outline a possible approach to construct a random-coil library of chemical shifts that comprises all possible arrangement of tripeptides from a manageable number of polypeptides.

Multidomain proteins containing intrinsically disordered linkers exhibit large-scale dynamic modes that play key roles in a multitude of molecular recognition and signaling processes. Here, we determine the conformational space sampled by the multidomain splicing factor U2AF65 using complementary nuclear magnetic resonance spectroscopy and small-angle scattering data. Available degrees of conformational freedom are initially stochastically sampled and experimental data then used to delineate the potential energy landscape in terms of statistical probability. The spatial distribution of U2AF65 conformations is found to be highly anisotropic, comprising significantly populated interdomain contacts that appear to be electrostatic in origin. This hypothesis is supported by the reduction of signature PREs reporting on expected interfaces with increasing salt concentration. The described spatial distribution reveals the complete spectrum of the unbound forms of U2AF65 that coexist with the small percentage of a preformed RNA-bound domain arrangement required for polypyrimidine-tract recognition by conformational selection. More generally, the proposed approach to describing conformational equilibria of multidomain proteins can be further combined with other experimental data that are sensitive to domain dynamics.

Many functional proteins do not have well defined folded structures. In recent years, both experimental and computational approaches have been developed to study the conformational behaviour of this type of protein. It has been shown previously that experimental RDCs (residual dipolar couplings) can be used to study the backbone sampling of disordered proteins in some detail. In these studies, the backbone structure was modelled using a common geometry for all amino acids. In the present paper, we demonstrate that experimental RDCs are also sensitive to the specific geometry of each amino acid as defined by energy-minimized internal co-ordinates. We have modified the FM (flexible-Meccano) algorithm that constructs conformational ensembles on the basis of a statistical coil model, to account for these differences. The modified algorithm inherits the advantages of the FM algorithm to efficiently sample the potential energy landscape for coil conformations. The specific geometries incorporated in the new algorithm result in a better reproduction of experimental RDCs and are generally applicable for further studies to characterize the conformational properties of intrinsically disordered proteins. In addition, the internal-co-ordinate-based algorithm is an order of magnitude more efficient, and facilitates side-chain construction, surface osmolyte simulation, spin-label distribution sampling and proline cis/trans isomer simulation.

Intrinsically disordered regions are predicted to exist in a significant fraction of proteins encoded in eukaryotic genomes. The high levels of conformational plasticity of this class of proteins endows them with unique capacities to act in functional modes not achievable by folded proteins, but also places their molecular characterization beyond the reach of classical structural biology. New techniques are therefore required to understand the relationship between primary sequence and biological function in this class of proteins. Although dependences of some NMR parameters such as chemical shifts (CSs) or residual dipolar couplings (RDCs) on structural propensity are known, so that sampling regimes are often inferred from experimental observation, there is currently no framework that allows for a statistical mapping of the available Ramachandran space of each amino acid in terms of conformational propensity. In this study we develop such an approach, combining highly efficient conformational sampling with ensemble selection to map the backbone conformational sampling of IDPs on a residue specific level. By systematically analyzing the ability of NMR data to map the conformational landscape of disordered proteins, we identify combinations of RDCs and CSs that can be used to raise conformational degeneracies inherent to different data types, and apply these approaches to characterize the conformational behavior of two intrinsically disordered proteins, the K18 domain from Tau protein and N(TAIL) from measles virus nucleoprotein. In both cases, we identify the enhanced populations of turn and helical regions in key regions of the proteins, as well as contiguous strands that show clear and enhanced polyproline II sampling.

The molecular details of how urea interacts with, and eventually denatures proteins, remain largely unknown. In this study we have used extensive experimental NMR data, in combination with statistical coil ensemble modeling and small-angle scattering, to analyze the conformational behavior of the protein ubiquitin in the presence of urea. In order to develop an atomic resolution understanding of the denatured state, conformational ensembles of full-atom descriptions of unfolded proteins, including side chain conformations derived from rotamer libraries, are combined with random sampling of explicit urea molecules in interaction with the protein. Using this description of the conformational equilibrium, we demonstrate that the direct-binding model of urea to the protein backbone is compatible with available experimental data. We find that, in the presence of 8 M urea, between 30 and 40% of the backbone peptide groups bind a urea molecule, independently reproducing results from a model-free analysis of small-angle neutron and X-ray scattering data. Crucially, this analysis also provides sequence specific details of the interaction between urea and the protein backbone. The pattern of urea-binding along the amino-acid sequence reveals a higher level of binding in the central part of the protein, a trend which resembles independent results derived from chemical shift mapping of the urea-protein interaction. Together these results substantiate the direct-binding model and provide a framework for studying the physical basis of interactions between proteins and solvent molecules., (© 2012 American Chemical Society)

In order to understand the conformational behaviour of Intrinsically Disordered Proteins (IDPs), it is essential to develop a molecular representation of the partially folded state. Due to the very large number of degrees of conformational freedom available to such a disordered system, this problem is highly underdetermined. Characterisation therefore requires extensive experimental data, and novel analytical tools are required to exploit the specific conformational sensitivity of different experimental parameters. In this review we concentrate on the use of nuclear magnetic resonance (NMR) spectroscopy for the study of conformational behaviour of IDPs at atomic resolution. Each experimental NMR parameter is sensitive to different aspects of the structural and dynamic behaviour of the disordered state and requires specific consideration of the relevant averaging properties of the physical interaction. In this review we present recent advances in the description of disordered proteins and the selection of representative ensembles on the basis of experimental data using statistical coil sampling from flexible-meccano and ensemble selection using ASTEROIDS. Using these tools we aim to develop a unified molecular representation of the disordered state, combining complementary data sets to extract a meaningful description of the conformational behaviour of the protein.

Current NMR information on side-chain conformations of unfolded protein states is sparse due to the poor dispersion particularly of side-chain proton resonances. We present here optimized schemes for the detection of (3)J(HalphaHbeta), (3)J(NHbeta), and (3)J(C'Hbeta) scalar and (1)D(CbetaHbeta) residual dipolar couplings (RDCs) in unfolded proteins. For urea-denatured ubiquitin and protein G, up to six (3)J-couplings to (1)H(beta) are detected, which define the chi(1) angle at very high precision. Interpretation of the (3)J couplings by a model of mixed staggered chi(1) rotamers yields excellent agreement and also provides stereoassignments for (1)H(beta) methylene protons. For all observed amino acids with the exception of leucine, the chemical shift of (1)H(beta3) protons was found downfield from (1)H(beta2). For most residues, the precision of individual chi(1) rotamer populations is better than 2%. The experimental chi(1) rotamer populations are in the vicinity of averages obtained from coil regions in folded protein structures. However, individual variations from these averages of up to 40% are highly significant and indicate sequence- and residue-specific interactions. Particularly strong deviations from the coil average are found for serine and threonine residues, an effect that may be explained by a weakening of side-chain to backbone hydrogen bonds in the urea-denatured state. The measured (1)D(CbetaHbeta) RDCs correlate well with predicted RDCs that were calculated from a sterically aligned coil model ensemble and the (3)J-derived chi(1) rotamer populations. This agreement supports the coil model as a good first approximation of the unfolded state. Deviations between measured and predicted values at certain sequence locations indicate that the description of the local backbone conformations can be improved by incorporation of the RDC information. The ease of detection of a large number of highly precise side-chain RDCs opens the possibility for a more rigorous characterization of both side-chain and backbone conformations in unfolded proteins.

A new lanthanide chelating tag (M8) for paramagnetic labeling of biomolecules is presented, which is based on an eight-fold, stereoselectively methyl-substituted DOTA that can be covalently linked to the host molecule by a single disulfide bond. The steric overcrowding of the DOTA scaffold leads to an extremely rigid, kinetically and chemically inert lanthanide chelator. Its steric bulk restricts the motion of the tag relative to the host molecule. These properties result in very large pseudocontact shifts (>5 ppm) and residual dipolar couplings (>20 Hz) for Dy-M8 linked to ubiquitin, which are unprecedented for a small, single-point-attachment tag. Such large pseudocontact shifts should be well detectable even for larger proteins and distances beyond approximately 50 A. Due to its exceptionally high stability and lanthanide affinity M8 can be used under extreme chemical or physical conditions, such as those applied for protein denaturation, or when it is undesirable that buffer or protein react with excess lanthanide ions.

Green fluorescent protein (GFP) is a large protein with a complex eleven-stranded beta-barrel structure. Previous studies have shown that it has a complex energy landscape for folding on which there are several intermediate states and a denatured state with significant residual structure. Here, we use two different types of HD exchange measurement and nuclear magnetic resonance (NMR) techniques to probe the energy landscape for folding of GFP in further detail. HD exchange experiments were performed over a wide range of conditions including different concentrations of denaturant. Results show that the penetration model dominates the exchange mechanism, consistent with the known stability and slow unfolding kinetics of GFP. HD exchange experiments at high pH establish that there is an extremely slow-exchanging superstable core of amide protons in GFP that are clustered and located in beta-strands 1, 2, 4, 5, and 6. These residues form part of a mini-beta-sheet which we propose constitutes a folding nucleus. Using a pulsed-labeling strategy, the acid-denatured state has been investigated and the residual structure observed in earlier studies shown to locate to beta-strands 1 and 3. There is some evidence that this residual structure is stabilized by a localized hydrophobic collapse of the polypeptide chain.