Effects of mutations at tyrosine 66 and asparagine 123 in the active site pocket of Escherichia coli uracil DNA glycosylase on uracil excision from synthetic DNA oligomers: evidence for the occurrence of long-range interactions between the enzyme and substrate

Uracil DNA glycosylase (UDG), a highly conserved DNA repair enzyme, excises uracil from DNA. Crystal structures of several UDGs have identified residues important for their exquisite specificity in detection and removal of uracil. Of these, Y66 and N123 in Escherichia coli UDG have been proposed to restrict the entry of non-uracil residues into the active site pocket. In this study, we show that the uracil excision activity of the Y66F mutant was similar to that of the wild-type protein, whereas the activities of the other mutants (Y66C, Y66S, N123D, N123E and N123Q) were compromised approximately 1000-fold. The latter class of mutants showed an increased dependence on the substrate chain length and suggested the existence of long-range interactions of the substrate with UDG. Investigation of the phosphate interactions by the ethylation interference assay reaffirmed the key importance of the -1, +1 and +2 phosphates (with respect to the scissile uracil) to the enzyme activity. Interestingly, this assay also revealed an additional interference at the -5 position phosphate, whose presence in the substrate had a positive effect on substrate utilisation by the mutants that do not possess a full complement of interactions in the active site pocket. Such long-range interactions may be crucial even for the wild-type enzyme under in vivo conditions. Further, our results suggest that the role of Y66 and N123 in UDG is not restricted merely to preventing the entry of non-uracil residues. We discuss their additional roles in conferring stability to the transition state enzyme-substrate complex and/or enhancing the leaving group quality of the uracilate anion during catalysis.     

Function of the respiratory syncytial virus small hydrophobic protein

Respiratory syncytial virus (RSV), a member of the Paramyxoviridae family, encodes a small hydrophobic (SH) protein of unknown function. Parainfluenza virus 5 (PIV5), a prototypical paramyxovirus, also encodes an SH protein, which inhibits tumor necrosis factor alpha (TNF-α) signaling. In this study, recombinant PIV5 viruses without their own SH but containing RSV SH (from RSV strain A2 or B1) in its place (PIV5ΔSH-RSV SH) and RSV lacking its own SH (RSVΔSH) were generated and analyzed. The results indicate that the SH protein of RSV has a function similar to that of PIV5 SH and that it can inhibit TNF-α signaling.     

The KRAS-regulated kinome identifies WEE1 and ERK coinhibition as a potential therapeutic strategy in KRAS-mutant pancreatic cancer

Oncogenic KRAS drives cancer growth by activating diverse signaling networks, not all of which have been fully delineated. We set out to establish a system-wide profile of the KRAS-regulated kinase signaling network (kinome) in KRAS-mutant pancreatic ductal adenocarcinoma (PDAC). We knocked down KRAS expression in a panel of six cell lines and then applied multiplexed inhibitor bead/MS to monitor changes in kinase activity and/or expression. We hypothesized that depletion of KRAS would result in downregulation of kinases required for KRAS-mediated transformation and in upregulation of other kinases that could potentially compensate for the deleterious consequences of the loss of KRAS. We identified 15 upregulated and 13 downregulated kinases in common across the panel of cell lines. In agreement with our hypothesis, all 15 of the upregulated kinases have established roles as cancer drivers (e.g., SRC, TGF-β1, ILK), and pharmacological inhibition of one of these upregulated kinases, DDR1, suppressed PDAC growth. Interestingly, 11 of the 13 downregulated kinases have established driver roles in cell cycle progression, particularly in mitosis (e.g., WEE1, Aurora A, PLK1). Consistent with a crucial role for the downregulated kinases in promoting KRAS-driven proliferation, we found that pharmacological inhibition of WEE1 also suppressed PDAC growth. The unexpected paradoxical activation of ERK upon WEE1 inhibition led us to inhibit both WEE1 and ERK concurrently, which caused further potent growth suppression and enhanced apoptotic death compared with WEE1 inhibition alone. We conclude that system-wide delineation of the KRAS-regulated kinome can identify potential therapeutic targets for KRAS-mutant pancreatic cancer.     

A New Insight into Structural and Functional Impact of Single-Nucleotide Polymorphisms in PTEN Gene

Phosphatase and tensin homolog (PTEN) plays essential roles in cellular processes including survival, proliferation, energy metabolism, and cellular architecture. Activating the mutations of PTEN has long been known to produce a variety of disorders, mainly diabetes and cancer in humans. Owing to the importance of PTEN gene, a functional analysis using different in silico approaches was undertaken to explore the possible associations between genetic mutations and phenotypic variation. SIFT, PolyPhen, I-Mutant 3.0, SNP&GO, and PHD-SNP were used for initial screening of functional nsSNPs. From the observed results, three mutations R47G, H61D, and V343E were selected based on their surface accessibility and total energy change. By molecular dynamics approach, H61D showed increase in flexibility, radius of gyration, solvent accessibility, and deviated more from the native structure which was supported by the decrease in the number of hydrogen bonds. Further from principal component analysis and interaction analysis, we identified significant structural changes that can reasonably explain the involvement of deviations in stability caused by mutations. Our analysis also predicts the involvement of SNPs that could potentially influence post-translational modifications in PTEN gene. These in silico predictions could provide a new insight into structural and functional impact of PTEN polymorphisms.     

In Silico Analysis of Prion Protein Mutants: A Comparative Study by Molecular Dynamics Approach

Polymorphisms in the human prion proteins lead to amino acid substitutions by the conversion of PrPC to PrPSc and amyloid formation, resulting in prion diseases such as familial Creutzfeldt–Jakob disease, Gerstmann–Straussler–Scheinker disease and fatal familial insomnia. Cation–π interaction is a non-covalent binding force that plays a significant role in protein stability. Here, we employ a novel approach by combining various in silico tools along with molecular dynamics simulation to provide structural and functional insight into the effect of mutation on the stability and activity of mutant prion proteins. We have investigated impressions of prevalent mutations including 1E1S, 1E1P, 1E1U, 1E1P, 1FKC and 2K1D on the human prion proteins and compared them with wild type. Structural analyses of the models were performed with the aid of molecular dynamics simulation methods. According to our results, frequently occurred mutations were observed in conserved sequences of human prion proteins and the most fluctuation values appear in the 2K1D mutant model at around helix 4 with residues ranging from 190 to 194. Our observations in this study could help to further understand the structural stability of prion proteins.     

Continuous biosorption of cadmium by Moringa olefera in a packed column

The biosorption of Cd(II) by Moringa oleifera using a batch system and a continuous up flow mode in a fixed bed column was studied. Batch adsorption experiments were performed as a function of pH, biosorbent dose, contact time, volume of the solution, and initial metal concentration. The adsorption isotherms obtained fitted well into the Freundlich and Langmuir isotherms. The dynamic removal of cadmium by powdered seed of the Moringa oleifera was studied in a packed column. The effect of bed height (4 and 8 cm) and flow rate (2 and 5mL/min) on biosorption process was investigated and the experimental breakthrough curves were obtained. Results showed that by increasing the bed height and decreasing the flow rate, the breakthrough and exhaustion times increased. The break-through time was considered as a measure of the column performance. The maximum break-through time of 320 min was achieved at the operating condition of 2 mL/min influent flow rate and bed height of 8 cm.     

Connecting species’ geographical distributions to environmental variables: range maps versus observed points of occurrence

Connecting the geographical occurrence of a species with underlying environmental variables is fundamental for many analyses of life history evolution and for modeling species distributions for both basic and practical ends. However, raw distributional information comes principally in two forms: points of occurrence (specific geographical coordinates where a species has been observed), and expert-prepared range maps. Each form has potential short-comings: range maps tend to overestimate the true occurrence of a species, whereas occurrence points (because of their frequent non-random spatial distribution) tend to underestimate it. Whereas previous comparisons of the two forms have focused on how they may differ when estimating species richness, less attention has been paid to the extent to which the two forms actually differ in their representation of a species’ environmental associations. We assess such differences using the globally distributed avian order Galliformes (294 species). For each species we overlaid range maps obtained from IUCN and point-of-occurrence data obtained from GBIF on global maps of four climate variables and elevation. Over all species, the median difference in distribution centroids was 234 km, and median values of all five environmental variables were highly correlated, although there were a few species outliers for each variable. We also acquired species’ elevational distribution mid-points (mid-point between minimum and maximum elevational extent) from the literature; median elevations from point occurrences and ranges were consistently lower (median −420 m) than mid-points. We concluded that in most cases occurrence points were likely to produce better estimates of underlying environmental variables than range maps, although differences were often slight. We also concluded that elevational range mid-points were biased high, and that elevation distributions based on either points or range maps provided better estimates.