Alpha-Synuclein Aggregation Mechanism in the Presence of Nanomaterials.

Parkinson's disease (PD) is characterized by the toxic oligomeric and fibrillar phases formed by monomeric alpha-synuclein (α-syn). Certain nanoparticles have been demonstrated to promote protein aggregation, while other nanomaterials have been found to prevent the process. In the current work, we use nuclear magnetic resonance spectroscopy in conjunction with isothermal titration calorimetry to investigate the cause and mechanism of these opposing effects at the amino acid protein level. The interaction of α-syn with two types of nanomaterials was considered: citrate-capped gold nanoparticles (AuNPs) and graphene oxide (GO). In the presence of AuNPs, α-syn aggregation is accelerated, whereas in the presence of GO, aggregation is prevented. The study indicates that GO sequesters the NAC region of α-syn monomers through electrostatic and hydrophobic interactions, leading to a reduced elongation rate, and AuNPs leave the NAC region exposed while binding the N-terminus, leading to higher aggregation. The protein's inclination toward quicker aggregation is explained by the binding of the N-terminus of α-syn with the gold nanoparticles. Conversely, a comparatively stronger interaction with GO causes the nucleation and growth phases to be postponed and inhibits intermolecular interactions. Our finding offers novel experimental insights at the residue level regarding the aggregation of α-syn in the presence of various nanomaterials and creates new opportunities for the development of suitably functionalized nanomaterial-based therapeutic reagents against Parkinson's and other neurodegenerative diseases.

IGF-dependent dynamic modulation of a protease cleavage site in the intrinsically disordered linker domain of human IGFBP2.

Functional regulation via conformational dynamics is well known in structured proteins but less well characterized in intrinsically disordered proteins and their complexes. Using NMR spectroscopy, we have identified a dynamic regulatory mechanism in the human insulin-like growth factor (IGF) system involving the central, intrinsically disordered linker domain of human IGF-binding protein-2 (hIGFBP2). The bioavailability of IGFs is regulated by the proteolysis of IGF-binding proteins. In the case of hIGFBP2, the linker domain (L-hIGFBP2) retains its intrinsic disorder upon binding IGF-1, but its dynamics are significantly altered, both in the IGF binding region and distantly located protease cleavage sites. The increase in flexibility of the linker domain upon IGF-1 binding may explain the IGF-dependent modulation of proteolysis of IGFBP2 in this domain. As IGF homeostasis is important for cell growth and function, and its dysregulation is a key contributor to several cancers, our findings open up new avenues for the design of IGFBP analogs inhibiting IGF-dependent tumors.

A One-Dimensional Phase-Modulated (PM) NMR Experiment for Differentiating Spin Systems in Small Molecules Mixtures: With Application to Chiral Discrimination and Bicomponent Organic Systems.

A one-dimensional phase-modulated NMR experiment, which distinguishes the partially resolved peaks and accelerates the data acquisition due to reduced dimensionality, is reported for differentiating spin systems, with application to chiral discrimination. The multifarious utility of the technique is demonstrated in plenteous examples.

Domain Stability Regulated through the Dimer Interface Controls the Formation Kinetics of a Specific NF-κB Dimer.

The NF-κB family of transcription factors is a key regulator of the immune response in the vertebrates. The family comprises five proteins that function as dimers formed in various combinations among the members, with the RelA-p50 dimer being physiologically the most abundant. While most of the 15 possible dimers are scarcely present in the cell with some remaining experimentally undetected to date, there are specific gene sets that are only activated by certain sparsely populated NF-κB dimers. The mechanism of transcription activation of such specific genes that are activated only by specific NF-κB dimers remains unclear. Here we show that the dimer interfacial residues control the stabilization of the global hydrogen bond network of the NF-κB dimerization domain, which, in turn, controls the thermodynamic stabilization of different NF-κB dimers. The relatively low thermodynamic stability of the RelA-RelA homodimer is critical as it facilitates the formation of the more stable RelA-p50 heterodimer. Through the modulation of the thermodynamic stability of the RelA-RelA homodimer, the kinetics of the RelA-p50 heterodimer formation can be regulated. This phenomenon provides an insight into the mechanism of RelA-RelA specific target gene regulation in physiology.

Effect of PEGylation on Host Defense Peptide Complexation with Bacterial Lipopolysaccharide.

Conjugation with poly(ethylene glycol) ("PEGylation") is a widely used approach for improving the therapeutic propensities of peptide and protein drugs through prolonging bloodstream circulation, reducing toxicity and immunogenicity, and improving proteolytic stability. In the present study, we investigate how PEGylation affects the interaction of host defense peptides (HDPs) with bacterial lipopolysaccharide (LPS) as well as HDP suppression of LPS-induced cell activation. In particular, we investigate the effects of PEGylation site for KYE28 (KYEITTIHNLFRKLTHRLFRRNFGYTLR), a peptide displaying potent anti-inflammatory effects, primarily provided by its N-terminal part. PEGylation was performed either in the N-terminus, the C-terminus, or in both termini, keeping the total number of ethylene groups (n = 48) constant. Ellipsometry showed KYE28 to exhibit pronounced affinity to both LPS and its hydrophobic lipid A moiety. The PEGylated peptide variants displayed lower, but comparable, affinity for both LPS and lipid A, irrespective of the PEGylation site. Furthermore, both KYE28 and its PEGylated variants triggered LPS aggregate disruption. To investigate the peptide structure in such LPS complexes, a battery of nuclear magnetic resonance (NMR) methods was employed. From this, it was found that KYE28 formed a well-folded structure after LPS binding, stabilized by hydrophobic domains involving aromatic amino acids as well as by electrostatic interactions. In contrast, the PEGylated peptide variants displayed a less well-defined secondary structure, suggesting weaker LPS interactions in line with the ellipsometry findings. Nevertheless, the N-terminal part of KYE28 retained helix formation after PEGylation, irrespective of the conjugation site. For THP1-Xblue-CD14 reporter cells, KYE28 displayed potent suppression of LPS activation at simultaneously low cell toxicity. Interestingly, the PEGylated KYE28 variants displayed similar or improved suppression of LPS-induced cell activation, implying the underlying key role of the largely retained helical structure close to the N-terminus, irrespective of PEGylation site. Taken together, the results show that PEGylation of HDPs can be done insensitively to the conjugation site without losing anti-inflammatory effects, even for peptides inducing such effects through one of its termini.

Rapid nuclear magnetic resonance data acquisition with improved resolution and sensitivity for high-throughput metabolomic analysis.

Nuclear magnetic resonance (NMR)-based metabolomics has witnessed rapid advancements in recent years with the continuous development of new methods to enhance the sensitivity, resolution, and speed of data acquisition. Some of the approaches were earlier used for peptide and protein resonance assignments and have now been adapted to metabolomics. At the same time, new NMR methods involving novel data acquisition techniques, suited particularly for high-throughput analysis in metabolomics, have been developed. In this review, we focus on the different sampling strategies or data acquisition methods that have been developed in our laboratory and other groups to acquire NMR spectra rapidly with high sensitivity and resolution for metabolomics. In particular, we focus on the use of multiple receivers, phase modulation NMR spectroscopy, and fast-pulsing methods for identification and assignments of metabolites.

Tunable order-disorder continuum in protein-DNA interactions.

DNA-binding protein domains (DBDs) sample diverse conformations in equilibrium facilitating the search and recognition of specific sites on DNA over millions of energetically degenerate competing sites. We hypothesize that DBDs have co-evolved to sense and exploit the strong electric potential from the array of negatively charged phosphate groups on DNA. We test our hypothesis by employing the intrinsically disordered DBD of cytidine repressor (CytR) as a model system. CytR displays a graded increase in structure, stability and folding rate on increasing the osmolarity of the solution that mimics the non-specific screening by DNA phosphates. Electrostatic calculations and an Ising-like statistical mechanical model predict that CytR exhibits features of an electric potential sensor modulating its dimensions and landscape in a unique distance-dependent manner, while DNA plays the role of a non-specific macromolecular chaperone. Accordingly, CytR binds its natural half-site faster than the diffusion-controlled limit and even random DNA conforming to an electrostatic-steering binding mechanism. Our work unravels for the first time the synergistic features of a natural electrostatic potential sensor, a novel binding mechanism driven by electrostatic frustration and disorder, and the role of DNA in promoting distance-dependent protein structural transitions critical for switching between specific and non-specific DNA-binding modes.

Design of a heme-binding peptide motif adopting a ß-hairpin conformation.

Heme-binding proteins constitute a large family of catalytic and transport proteins. Their widespread presence as globins and as essential oxygen and electron transporters, along with their diverse enzymatic functions, have made them targets for protein design. Most previously reported designs involved the use of α-helical scaffolds, and natural peptides also exhibit a strong preference for these scaffolds. However, the reason for this preference is not well-understood, in part because alternative protein designs, such as those with ß-sheets or hairpins, are challenging to perform. Here, we report the computational design and experimental validation of a water-soluble heme-binding peptide, Pincer-1, composed of predominantly ß-scaffold secondary structures. Such heme-binding proteins are rarely observed in nature, and by designing such a scaffold, we simultaneously increase the known fold space of heme-binding proteins and expand the limits of computational design methods. For a ß-scaffold, two tryptophan zipper ß-hairpins sandwiching a heme molecule were linked through an N-terminal cysteine disulfide bond. ß-Hairpin orientations and residue selection were performed computationally. Heme binding was confirmed through absorbance experiments and surface plasmon resonance experiments (KD = 730 ± 160 nm). CD and NMR experiments validated the ß-hairpin topology of the designed peptide. Our results indicate that a helical scaffold is not essential for heme binding and reveal the first designed water-soluble, heme-binding ß-hairpin peptide. This peptide could help expand the search for and design space to cytoplasmic heme-binding proteins.

Sperm-mediated DNA lesions alter metabolite levels in spent embryo culture medium.

Paternal genetic alterations may affect embryo viability and reproductive outcomes. Currently it is unknown whether embryo metabolism is affected by sperm-mediated abnormalities. Hence, using a mouse model, this study investigated the response to paternally transmitted DNA lesions on genetic integrity and metabolism in preimplantation embryos. Spent embryo culture media were analysed for metabolites by nuclear magnetic resonance spectroscopy and embryonic genetic integrity was determined by terminal deoxynucleotidyl transferase dUTP nick-end labelling (TUNEL) assay on embryonic Day 4.5 (E4.5). Metabolic signatures were compared between normally derived embryos (control) and embryos derived from spermatozoa carrying induced DNA lesions (SDL). SDL embryos showed a significant reduction in blastocyst formation on E3.5 and E4.5 (P<0.0001) and had an approximately 2-fold increase in TUNEL-positive cells (P<0.01). A cohort of SDL embryos showing delayed development on E4.5 had increased uptake of pyruvate (P<0.05) and released significantly less alanine (P<0.05) to the medium compared with the corresponding control embryos. On the other hand, normally developed SDL embryos had a reduced (P<0.001) pyruvate-to-alanine ratio compared with normally developed embryos from the control group. Hence, the difference in the metabolic behaviour of SDL embryos may be attributed to paternally transmitted DNA lesions in SDL embryos.

SIRT6 deacetylase transcriptionally regulates glucose metabolism in heart.

Sirtuins are a family of enzymes, which govern a number of cellular processes essential for maintaining physiological balance. SIRT6, a nuclear sirtuin, is implicated in the development of metabolic disorders. The role of SIRT6 in regulation of cardiac metabolism is unexplored. Although glucose is not the primary energy source of heart, defects in glucose oxidation have been linked to heart failure. SIRT6+/- mice hearts exhibit increased inhibitory phosphorylation of PDH subunit E1α. SIRT6 deficiency enhances FoxO1 nuclear localization that results in increased expression of PDK4. We show that SIRT6 transcriptionally regulates the expression of PDK4 by binding to its promoter. SIRT6+/- hearts show accumulation of lactate, indicating compromised mitochondrial oxidation. SIRT6 deficiency results in decreased oxygen consumption rate and concomitantly lesser ATP production. Mechanistically, SIRT6 deficiency leads to increased FoxO1-mediated transcription of PDK4. Our findings establish a novel link between SIRT6 and cardiac metabolism, suggesting a protective role of SIRT6 in maintaining cardiac homeostasis.

An ultra-stable redox-controlled self-assembling polypeptide nanotube for targeted imaging and therapy in cancer.

We introduce a self-assembling polypeptide-based nanotube system having the ability to specifically target cancer cells. The nanotubes target the cancer cell surface through integrin engagement with the help of multiple RGD units present along their surface. While the nanotubes are non-toxic towards cells in general, they can be loaded with suitable drugs to be released in a sustained manner in cancer cells. In addition, the nanotubes can be utilized for cellular imaging using any covalently tagged fluorescent dye. They are stable over a wide range of temperature due to intermolecular disulphide bonds formed during the self-assembly process. At the same time, presence of disulphide bonds provides a redox molecular switch for their degradation. Taken together this system provides a unique avenue for multimodal formulation in cancer therapy.

Rapid NMR Assignments of Proteins by Using Optimized Combinatorial Selective Unlabeling.

A new approach for rapid resonance assignments in proteins based on amino acid selective unlabeling is presented. The method involves choosing a set of multiple amino acid types for selective unlabeling and identifying specific tripeptides surrounding the labeled residues from specific 2D NMR spectra in a combinatorial manner. The methodology directly yields sequence specific assignments, without requiring a contiguously stretch of amino acid residues to be linked, and is applicable to deuterated proteins. We show that a 2D [(15) N,(1) H] HSQC spectrum with two 2D spectra can result in ∼50 % assignments. The methodology was applied to two proteins: an intrinsically disordered protein (12 kDa) and the 29 kDa (268 residue) α-subunit of Escherichia coli tryptophan synthase, which presents a challenging case with spectral overlaps and missing peaks. The method can augment existing approaches and will be useful for applications such as identifying active-site residues involved in ligand binding, phosphorylation, or protein-protein interactions, even prior to complete resonance assignments.

Solution NMR characterization of apical membrane antigen 1 and small molecule interactions as a basis for designing new antimalarials.

Plasmodium falciparum apical membrane antigen 1 (PfAMA1) plays an important role in the invasion by merozoites of human red blood cells during a malaria infection. A key region of PfAMA1 is a conserved hydrophobic cleft formed by 12 hydrophobic residues. As anti-apical membrane antigen 1 antibodies and other inhibitory molecules that target this hydrophobic cleft are able to block the invasion process, PfAMA1 is an attractive target for the development of strain-transcending antimalarial agents. As solution nuclear magnetic resonance spectroscopy is a valuable technique for the rapid characterization of protein-ligand interactions, we have determined the sequence-specific backbone assignments for PfAMA1 from two P. falciparum strains, FVO and 3D7. Both selective labelling and unlabelling strategies were used to complement triple-resonance experiments in order to facilitate the assignment process. We have then used these assignments for mapping the binding sites for small molecules, including benzimidazoles, pyrazoles and 2-aminothiazoles, which were selected on the basis of their affinities measured from surface plasmon resonance binding experiments. Among the compounds tested, benzimidazoles showed binding to a similar region on both FVO and 3D7 PfAMA1, suggesting that these compounds are promising scaffolds for the development of novel PfAMA1 inhibitors. Copyright © 2016 John Wiley & Sons, Ltd.

Chemical Shifts to Metabolic Pathways: Identifying Metabolic Pathways Directly from a Single 2D NMR Spectrum.

Identifying cellular processes in terms of metabolic pathways is one of the avowed goals of metabolomics studies. Currently, this is done after relevant metabolites are identified to allow their mapping onto specific pathways. This task is daunting due to the complex nature of cellular processes and the difficulty in establishing the identity of individual metabolites. We propose here a new method: ChemSMP (Chemical Shifts to Metabolic Pathways), which facilitates rapid analysis by identifying the active metabolic pathways directly from chemical shifts obtained from a single two-dimensional (2D) [(13)C-(1)H] correlation NMR spectrum without the need for identification and assignment of individual metabolites. ChemSMP uses a novel indexing and scoring system comprised of a "uniqueness score" and a "coverage score". Our method is demonstrated on metabolic pathways data from the Small Molecule Pathway Database (SMPDB) and chemical shifts from the Human Metabolome Database (HMDB). Benchmarks show that ChemSMP has a positive prediction rate of >90% in the presence of decluttered data and can sustain the same at 60-70% even in the presence of noise, such as deletions of peaks and chemical shift deviations. The method tested on NMR data acquired for a mixture of 20 amino acids shows a success rate of 93% in correct recovery of pathways. When used on data obtained from the cell lysate of an unexplored oncogenic cell line, it revealed active metabolic pathways responsible for regulating energy homeostasis of cancer cells. Our unique tool is thus expected to significantly enhance analysis of NMR-based metabolomics data by reducing existing impediments.

Pattern Recognition-Based Approach for Identifying Metabolites in Nuclear Magnetic Resonance-Based Metabolomics.

Identification and assignments of metabolites is an important step in metabolomics and is necessary for the discovery of new biomarkers. In nuclear magnetic resonance (NMR) spectroscopy-based studies, the conventional approach involves a database search, wherein chemical shifts are assigned to specific metabolites by use of a tolerance limit. This is inefficient because deviation in chemical shifts associated with pH or temperature variations, as well as missing peaks, impairs a robust comparison with the database. We propose here a novel method based on matching the pattern of peaks rather than absolute tolerance thresholds, using a combination of geometric hashing and similarity scoring techniques. Tests with 719 metabolites from the Human Metabolome Database (HMDB) show that 100% of the metabolites can be assigned correctly when accurate data are available. A high success rate is obtained even in the presence of large chemical shift deviations such as 0.5 ppm in (1)H and 3 ppm in (13)C and missing peaks (up to 50%), compared to nearly no assignments obtained under these conditions with existing methods that employ a direct database search approach. The method was evaluated on experimental data on a mixture of 16 metabolites at eight different combinations of pH and temperature conditions. The pattern recognition approach thus helps in identification and assignment of metabolites independent of the pH, temperature, and ionic strength used, thereby obviating the need for spectral calibration with internal or external standards.

Novel anti IGFBP2 single chain variable fragment inhibits glioma cell migration and invasion.

Insulin like growth factor binding protein 2 (IGFBP2) is highly up regulated in glioblastoma (GBM) tissues and has been one of the prognostic indicators. There are compelling evidences suggesting important roles for IGFBP2 in glioma cell proliferation, migration and invasion. Extracellular IGFBP2 through its carboxy terminal arginine glycine aspartate (RGD) motif can bind to cell surface α5ß1 integrins and activate pathways downstream to integrin signaling. This IGFBP2 activated integrin signaling is known to play a crucial role in IGFBP2 mediated invasion of glioma cells. Hence a molecular inhibitor of carboxy terminal domain of IGFBP2 which can inhibit IGFBP2-cell surface interaction is of great therapeutic importance. In an attempt to develop molecular inhibitors of IGFBP2, we screened single chain variable fragment (scFv) phage display libraries, Tomlinson I (Library size 1.47 × 10(8)) and Tomlinson J (Library size 1.37 × 10(8)) using human recombinant IGFBP2. After screening we obtained three IGFBP2 specific binders out of which one scFv B7J showed better binding to IGFBP2 at its carboxy terminal domain, blocked IGFBP2-cell surface association, reduced activity of matrix metalloprotease 2 in the conditioned medium of glioma cells and inhibited IGFBP2 induced migration and invasion of glioma cells. We demonstrate for the first time that in vitro inhibition of extracellular IGFBP2 activity by using human scFv results in significant reduction of glioma cell migration and invasion. Therefore, the inhibition of IGFBP2 can serve as a potential therapeutic strategy in the management of GBM.

A fast NMR method for resonance assignments: application to metabolomics.

We present a new method for rapid NMR data acquisition and assignments applicable to unlabeled ((12)C) or (13)C-labeled biomolecules/organic molecules in general and metabolomics in particular. The method involves the acquisition of three two dimensional (2D) NMR spectra simultaneously using a dual receiver system. The three spectra, namely: (1) G-matrix Fourier transform (GFT) (3,2)D [(13)C, (1)H] HSQC-TOCSY, (2) 2D (1)H-(1)H TOCSY and (3) 2D (13)C-(1)H HETCOR are acquired in a single experiment and provide mutually complementary information to completely assign individual metabolites in a mixture. The GFT (3,2)D [(13)C, (1)H] HSQC-TOCSY provides 3D correlations in a reduced dimensionality manner facilitating high resolution and unambiguous assignments. The experiments were applied for complete (1)H and (13)C assignments of a mixture of 21 unlabeled metabolites corresponding to a medium used in assisted reproductive technology. Taken together, the experiments provide time gain of order of magnitudes compared to the conventional data acquisition methods and can be combined with other fast NMR techniques such as non-uniform sampling and covariance spectroscopy. This provides new avenues for using multiple receivers and projection NMR techniques for high-throughput approaches in metabolomics.

Rapid characterization of molecular diffusion by NMR spectroscopy.

An NMR-based approach for rapid characterization of translational diffusion of molecules has been developed. Unlike the conventional method of acquiring a series of 2D (13)C and (1)H spectra, the proposed approach involves a single 2D NMR spectrum, which can be acquired in minutes. Using this method, it was possible to detect the presence of intermediate oligomeric species of diphenylalanine in solution during the process of its self-assembly to form nanotubular structures.

Structure and mechanistic insights into novel iron-mediated moonlighting functions of human J-protein cochaperone, Dph4.

J-proteins are obligate cochaperones of Hsp70s and stimulate their ATPase activity via the J-domain. Although the functions of J-proteins have been well understood in the context of Hsp70s, their additional co-evolved "physiological functions" are still elusive. We report here the solution structure and mechanism of novel iron-mediated functional roles of human Dph4, a type III J-protein playing a vital role in diphthamide biosynthesis and normal development. The NMR structure of Dph4 reveals two domains: a conserved J-domain and a CSL-domain connected via a flexible linker-helix. The linker-helix modulates the conformational flexibility between the two domains, regulating thereby the protein function. Dph4 exhibits a unique ability to bind iron in tetrahedral coordination geometry through cysteines of its CSL-domain. The oxidized Fe-Dph4 shows characteristic UV-visible and electron paramagnetic resonance spectral properties similar to rubredoxins. Iron-bound Dph4 (Fe-Dph4) also undergoes oligomerization, thus potentially functioning as a transient "iron storage protein," thereby regulating the intracellular iron homeostasis. Remarkably, Fe-Dph4 exhibits vital redox and electron carrier activity, which is critical for important metabolic reactions, including diphthamide biosynthesis. Further, we observed that Fe-Dph4 is conformationally better poised to perform Hsp70-dependent functions, thus underlining the significance of iron binding in Dph4. Yeast Jjj3, a functional ortholog of human Dph4 also shows a similar iron-binding property, indicating the conserved nature of iron sequestration across species. Taken together, our findings provide invaluable evidence in favor of additional co-evolved specialized functions of J-proteins, previously not well appreciated.

NMR studies of preimplantation embryo metabolism in human assisted reproductive techniques: a new biomarker for assessment of embryo implantation potential.

There has been growing interest in understanding energy metabolism in human embryos generated using assisted reproductive techniques (ART) for improving the overall success rate of the method. Using NMR spectroscopy as a noninvasive tool, we studied human embryo metabolism to identify specific biomarkers to assess the quality of embryos for their implantation potential. The study was based on estimation of pyruvate, lactate and alanine levels in the growth medium, ISM1, used in the culture of embryos. An NMR study involving 127 embryos from 48 couples revealed that embryos transferred on Day 3 (after 72 h in vitro culture) with successful implantation (pregnancy) exhibited significantly (p < 10(-5) ) lower pyruvate/alanine ratios compared to those that failed to implant. Lactate levels in media were similar for all embryos. This implies that in addition to lactate production, successfully implanted embryos use pyruvate to produce alanine and other cellular functions. While pyruvate and alanine individually have been used as biomarkers, the present study highlights the potential of combining them to provide a single parameter that correlates strongly with implantation potential.