Oligosaccharide recognition and binding to the carbohydrate binding module of AMP-activated protein kinase

AbstractThe AMP-activated protein kinase (AMPK) contains a carbohydrate-binding module (β1-CBM) that is conserved from yeast to mammals. β1-CBM has been shown to localize AMPK to glycogen in intact cells and in vitro. Here we use Nuclear Magnetic Resonance spectroscopy to investigate oligosaccharide binding to 15N labelled β1-CBM. We find that β1-CBM shows greatest affinity to carbohydrates of greater than five glucose units joined via α,1→4 glycosidic linkages with a single, but not multiple, glucose units in an α,1→6 branch. The near identical chemical shift profile for all oligosaccharides whether cyclic or linear suggest a similar binding conformation and confirms the presence of a single carbohydrate-binding site

Cell-free protein synthesis as a tool to study RXFP3- Relaxin-3 protein interactions

With the discovery of the relaxin family peptide receptors there is interest in obtaining a clearer understanding of the structure of these proteins and the molecular mechanism of receptor-ligand interaction. As G-protein coupled receptors, obtaining milligram quantities for structural investigations is hampered by the inherent instability of these integral membrane proteins. In the current context, understanding of GPCR structural biology has increased dramatically with crystal structures of several inactive and now active forms solved. In addition, the first nuclear magnetic resonance structure of a GPCR was obtained which is of crucial importance to studying these receptors in a more “biologically relevant” setting. However despite this expansion in the field, most structures have been solved on modified systems so as to increase stability and are not necessarily representative of the native receptors. In relation to the relaxin family peptide receptors, we chose to investigate relaxin-family peptide receptor-3 expressed by cellfree protein synthesis. In contrast to in-vivo expression, cell-free was capable of producing large amounts of native receptor which makes it amenable to demanding structural studies

Development of a scaffold displaying exoloops of RXFP1

Relaxin family peptide receptor 1 (RXFP1), the cognate receptor for relaxin, is a G-protein coupled receptor (GPCR) possessing a unique extracellular region consisting of a domain of 10 leucine rich repeats (LRRs) linked to an N-terminal low density lipoprotein Class A module. Relaxin binds to its receptor primarily by a high affinity interaction with the LRRs. An additional low-affinity interaction has been proposed to occur between relaxin and the the exoloops (ELs) of the transmembrane domain, however the molecular detail of this interaction remains undefined. While site directed mutagenesis and subsequent functional characterisation of these mutants traditionally allows identification of residues contributing to receptor function, in this case results are complicated by the presence of the high affinity binding site in the LRRs. To create a tool to investigate the low-affinity interaction, a protein scaffold system displaying exoloops 1 and 2 from RXFP1 was designed. This was achieved by inserting RXFP1 exoloops 1 and 2 into the native loops of a thermostabilised 6 kDa GB1 protein creating EL1/EL2-GB1. This protein has been expressed and purified in milligram quantities and used in conjunction with biophysical techniques such as NMR to explore relaxin binding to the exoloops of RXFP1

Thienopyridone Drugs Are Selective Activators of AMP-Activated Protein Kinase β1-Containing Complexes

SummaryThe AMP-activated protein kinase (AMPK) is an αβγ heterotrimer that plays a pivotal role in regulating cellular and whole-body metabolism. Activation of AMPK reverses many of the metabolic defects associated with obesity and type 2 diabetes, and therefore AMPK is considered a promising target for drugs to treat these diseases. Recently, the thienopyridone A769662 has been reported to directly activate AMPK by an unexpected mechanism. Here we show that A769662 activates AMPK by a mechanism involving the β subunit carbohydrate-binding module and residues from the γ subunit but not the AMP-binding sites. Furthermore, A769662 exclusively activates AMPK heterotrimers containing the β1 subunit. Our findings highlight the regulatory role played by the β subunit in modulating AMPK activity and the possibility of developing isoform specific therapeutic activators of this important metabolic regulator

A Phase I/II Study of Chemotherapy Followed by Donor Lymphocyte Infusion plus Interleukin-2 for Relapsed Acute Leukemia after Allogeneic Hematopoietic Cell Transplantation

The efficacy of donor lymphocyte infusion (DLI) for treatment of relapsed acute leukemia after allogeneic hematopoietic cell transplantation is limited. We hypothesized that interleukin-2 (IL-2) combined with DLI after chemotherapy might augment graft-versus-leukemia effects. To identify a safe and effective IL-2 regimen, a phase I/II study of DLI plus IL-2 therapy was performed for such patients. After chemotherapy, 17 patients received DLI (1 × 108 CD3/kg for patients with related donors, and 0.1 × 108 CD3/kg for those with unrelated donors) and an escalating dose of induction IL-2 (1.0, 2.0, or 3.0 × 106 IU/m2/day representing levels I [n = 7], Ia [n = 9], and II [n = 1]) for 5 days followed by maintenance (1.0 × 106 IU/m2/day) for 10 days as a continuous intravenous infusion. Unacceptable IL-2–related toxicities developed in 1 patient at level I, 2 at level Ia, and 1 at level II. Grades III-IV acute graft-versus-host disease (aGVHD) developed in 5 patients, and extensive chronic GVHD (cGVHD) developed in 8. Eight patients had a complete remission after chemotherapy prior to DLI, and 2 additional patients had a complete remission after DLI plus IL-2 therapy. In conclusion, the maximal tolerated induction dose of IL-2 combined with DLI appears to be 1.0 × 106 IU/m2/day. IL-2 administration after DLI might increase the incidence of cGVHD

Automated NMR relaxation dispersion data analysis using NESSY

<p>Abstract</p> <p>Background</p> <p>Proteins are dynamic molecules with motions ranging from picoseconds to longer than seconds. Many protein functions, however, appear to occur on the micro to millisecond timescale and therefore there has been intense research of the importance of these motions in catalysis and molecular interactions. Nuclear Magnetic Resonance (NMR) relaxation dispersion experiments are used to measure motion of discrete nuclei within the micro to millisecond timescale. Information about conformational/chemical exchange, populations of exchanging states and chemical shift differences are extracted from these experiments. To ensure these parameters are correctly extracted, accurate and careful analysis of these experiments is necessary.</p> <p>Results</p> <p>The software introduced in this article is designed for the automatic analysis of relaxation dispersion data and the extraction of the parameters mentioned above. It is written in Python for multi platform use and highest performance. Experimental data can be fitted to different models using the Levenberg-Marquardt minimization algorithm and different statistical tests can be used to select the best model. To demonstrate the functionality of this program, synthetic data as well as NMR data were analyzed. Analysis of these data including the generation of plots and color coded structures can be performed with minimal user intervention and using standard procedures that are included in the program.</p> <p>Conclusions</p> <p>NESSY is easy to use open source software to analyze NMR relaxation data. The robustness and standard procedures are demonstrated in this article.</p

Non-Visual Effects of Light on Melatonin, Alertness and Cognitive Performance: Can Blue-Enriched Light Keep Us Alert?

Light exposure can cascade numerous effects on the human circadian process via the non-imaging forming system, whose spectral relevance is highest in the short-wavelength range. Here we investigated if commercially available compact fluorescent lamps with different colour temperatures can impact on alertness and cognitive performance

Optimisation of NMR dynamic models I. Minimisation algorithms and their performance within the model-free and Brownian rotational diffusion spaces

The key to obtaining the model-free description of the dynamics of a macromolecule is the optimisation of the model-free and Brownian rotational diffusion parameters using the collected R1, R2 and steady-state NOE relaxation data. The problem of optimising the chi-squared value is often assumed to be trivial, however, the long chain of dependencies required for its calculation complicates the model-free chi-squared space. Convolutions are induced by the Lorentzian form of the spectral density functions, the linear recombinations of certain spectral density values to obtain the relaxation rates, the calculation of the NOE using the ratio of two of these rates, and finally the quadratic form of the chi-squared equation itself. Two major topological features of the model-free space complicate optimisation. The first is a long, shallow valley which commences at infinite correlation times and gradually approaches the minimum. The most severe convolution occurs for motions on two timescales in which the minimum is often located at the end of a long, deep, curved tunnel or multidimensional valley through the space. A large number of optimisation algorithms will be investigated and their performance compared to determine which techniques are suitable for use in model-free analysis. Local optimisation algorithms will be shown to be sufficient for minimisation not only within the model-free space but also for the minimisation of the Brownian rotational diffusion tensor. In addition the performance of the programs Modelfree and Dasha are investigated. A number of model-free optimisation failures were identified: the inability to slide along the limits, the singular matrix failure of the Levenberg–Marquardt minimisation algorithm, the low precision of both programs, and a bug in Modelfree. Significantly, the singular matrix failure of the Levenberg–Marquardt algorithm occurs when internal correlation times are undefined and is greatly amplified in model-free analysis by both the grid search and constraint algorithms. The program relax (http://www.nmr-relax.com) is also presented as a new software package designed for the analysis of macromolecular dynamics through the use of NMR relaxation data and which alleviates all of the problems inherent within model-free analysis