Expression,purification, and evidence for the interaction of the two nucleotide-binding folds of the sulphonylurea receptor

The ATP-sensitive potassium channel is made up of four pore forming Kir6.2 subunits, surrounded by four regulatory sulphonylurea receptor (SUR) subunits. The latter subunit contains two nucleotide-binding folds (NBFs) that confer the ability on the channel to sense changes in the metabolic status ([ATP]/[ADP]) of the cell and couple the changes to the membrane potential of the cell. In an attempt to better understand the mechanisms by which NBFs influence the activity of the channel, we have expressed the NBF domains with C-terminally added epitopes (FLAG to NBF1 and His(6) to NBF2) in Escherichia coli and the rabbit reticulocyte lysate system and examined the ability of these domains to interact with each other and with Kir6.2. Both NBFs could be expressed to high levels in E. coli and purified to homogeneity from inclusion bodies. Re-folding of the proteins proved to be unsuccessful. However, we were able to obtain small amounts of radio-labelled NBFs in a soluble state. Using co-immunoprecipitation, we demonstrate that the radio-labelled NBF1 and NBF2 interact with each other. Neither of the NBFs bound to Kir6.2 expressed in the presence of canine microsomes.     

The co-ordinated regulation of iron homeostasis in murine macrophages limits the availability of iron for intracellular Salmonella typhimurium

In being both, a modifier of cellular immune effector pathways and an essential nutrient for microbes, iron is a critical determinant in host-pathogen interaction. Here, we investigated the metabolic changes of macrophage iron homeostasis and immune function following the infection of RAW264.7 murine macrophages with Salmonella typhimurium. We observed an enhanced expression of the principal iron export protein, ferroportin 1, and a subsequent increase of iron efflux in Salmonella-infected phagocytes. In parallel, the expression of haem oxygenase 1 and of the siderophore-binding peptide lipocalin 2 was markedly enhanced following pathogen entry. Collectively, these modulations reduced both the cytoplasmatic labile iron and the ferritin storage iron pool within macrophages, thus restricting the acquisition of iron by intramacrophage Salmonella. Correspondingly, limitation of macrophage iron decreased microbial survival, whereas iron supplementation impaired immune response pathways in Salmonella-infected macrophages (nitric oxide formation and tumour necrosis factor-alpha production) and promoted intracellular bacterial proliferation. Our findings suggest that the enhancement of ferroportin 1-mediated iron efflux, the upregulation of the haem-degrading enzyme haem oxygenase 1 and the induction of lipocalin 2 following infection concordantly aim at withholding iron from intracellular S. typhimurium and to increase antimicrobial immune effector pathways thus limiting pathogen proliferation.     

Kinetics of binding of bovine trypsin-killikrein inhibitor (K unitz) in which the reactive-site peptide bond Lys-15--Ala-16 is cleaved, to alpha-chymotrypsin and beta-trypsin.

Equilibrium measurements of the binding of reactive-site-cleaved (modified) bovine trypsin-kallikrein inhibitor (Kunitz) to alpha-chymotrypsin and beta-trypsin show a stoichiometric 1:1 association with high binding constants. At least in the case of chymotrypsin much evidence is presented that the reaction with modified inhibitor leads to the same complex as the reaction with virgin inhibitor does. The association rate constant of modified inhibitor with chymotrypsin at pH 7, 22.5 degrees C is 15.8 M-1 S-1. This is about 2 x 10(4) times slower than the binding of virgin inhibitor to that enzyme. In the analogous reaction of modified inhibitor with beta-trypsin, however, the association rate constant (1.2 x 10(4) M-1 s-1 at pH 6.9, 22.5 degrees C) is of about the same order of magnitude as it is in the reaction of virgin inhibitor and trypsin. These and analogous phenomena observed in the reactions of virgin and modified soybean trypsin inhibitor (Kunitz) with alpha-chymotrypsin and beta-trypsin suggest that the specificity of both inhibitors to trypsin is strongly reflected in the association rate constants of the modified forms. The dissociation rate constants of the complexes of trypsin-kallikrein inhibitor with chymotrypsin or with trypsin towards the modified inhibitor are estimated to be unmeasurably slow (half-life times of 45 or 1.5 x 10(4) years, respectively).     

Influences of salinity on the physiology and distribution of the Arctic coralline algae,Lithothamnion glaciale (Corallinales,Rhodophyta)

In Greenland, free‐living red coralline algae contribute to and dominate marine habitats along the coastline. Lithothamnion glaciale dominates coralline algae beds in many regions of the Arctic, but never in Godthåbsfjord, Greenland, where Clathromorphum sp. is dominant. To investigate environmental impacts on coralline algae distribution, calcification and primary productivity were measured in situ during summers of 2015 and 2016, and annual patterns of productivity in L. glaciale were monitored in laboratory‐based mesocosm experiments where temperature and salinity were manipulated to mimic high glacial melt. The results of field and cold‐room measurements indicate that both L. glaciale and Clathromorphum sp. had low calcification and photosynthetic rates during the Greenland summer (2015 and 2016), with maximum of 1.225 ± 0.17 or 0.002 ± 0.023 μmol CaCO ₃ · g^?1 · h^?1 and ?0.007 ±0.003 or ?0.004 ± 0.001 mg O₂ · L^?1 · h^?1 in each species respectively. Mesocosm experiments indicate L. glaciale is a seasonal responder; photosynthetic and calcification rates increase with annual light cycles. Furthermore, metabolic processes in L. glaciale were negatively influenced by low salinity; positive growth rates only occurred in marine treatments where individuals accumulated an average of 1.85 ± 1.73 mg · d^?1 of biomass through summer. These results indicate high freshwater input to the Godthåbsfjord region may drive the low abundance of L . glaciale , and could decrease species distribution as climate change increases freshwater input to the Arctic marine system via enhanced ice sheet runoff and glacier calving.     

Predicting the distribution of a rare species of moss: The case of Buxbaumia viridis (Bryopsida,Buxbaumiaceae)

Buxbaumia viridis is a rare policy species restricted to decaying woods in forests. Although Member States of EU are required to monitor its conservation status, specific models able to predict species distribution are still lacking. However, the availability of such models would strongly improve the efficiency in collection additional data and consequently lead to a better knowledge of its ecology. Aims of this work were (i) to provide a model for species distribution assessing the importance of different environmental variables thought to be important in setting the occurrence of Buxbaumia viridis and (ii) to test the effect of imperfect detection in defining the environmental space where the species occur. With this work, records of B. viridis increased twofold in the Alpine region of Italy, passing from 13 records to 26. We showed that on the Alps, occurrence of Buxbaumia viridis was best predicted by northness, rainfall, canopy closure and necromass. Necromass was the single most important variable. A volume of 48–61 m³/ha of necromass was identified as the threshold value determining the high probability of species occurrence. The imperfect detection probability of the species (p = 0.25), biased towards zero the importance of the environmental variables.     

Solving the Differential Biochemical Jacobian from Metabolomics Covariance Data

High-throughput molecular analysis has become an integral part in organismal systems biology. In contrast, due to a missing systematic linkage of the data with functional and predictive theoretical models of the underlying metabolic network the understanding of the resulting complex data sets is lacking far behind. Here, we present a biomathematical method addressing this problem by using metabolomics data for the inverse calculation of a biochemical Jacobian matrix, thereby linking computer-based genome-scale metabolic reconstruction and in vivo metabolic dynamics. The incongruity of metabolome coverage by typical metabolite profiling approaches and genome-scale metabolic reconstruction was solved by the design of superpathways to define a metabolic interaction matrix. A differential biochemical Jacobian was calculated using an approach which links this metabolic interaction matrix and the covariance of metabolomics data satisfying a Lyapunov equation. The predictions of the differential Jacobian from real metabolomic data were found to be correct by testing the corresponding enzymatic activities. Moreover it is demonstrated that the predictions of the biochemical Jacobian matrix allow for the design of parameter optimization strategies for ODE-based kinetic models of the system. The presented concept combines dynamic modelling strategies with large-scale steady state profiling approaches without the explicit knowledge of individual kinetic parameters. In summary, the presented strategy allows for the identification of regulatory key processes in the biochemical network directly from metabolomics data and is a fundamental achievement for the functional interpretation of metabolomics data.