Pioglitazone, a PPAR-gamma ligand, exerts cytostatic/cytotoxic effects against cancer cells, that do not result from inhibition of proteasome

Thiazolidinediones are oral antidiabetic agents that activate peroxisome proliferator-activated receptor-gamma (PPAR-gamma) and exert potent antioxidant and anti-inflammatory properties. It has also been shown that PPAR-gamma agonists induce G0/G1 arrest and apoptosis of malignant cells. Some of these effects have been suggested to result from inhibition of proteasome activity in target cells. The aim of our studies was to critically evaluate the cytostatic/cytotoxic effects of one of thiazolidinediones (pioglitazone) and its influence on proteasome activity. Pioglitazone exerted dose-dependent cytostatic/cytotoxic effects in MIA PaCa-2 cells. Incubation of tumor cells with pioglitazone resulted in increased levels of p53 and p27 and decreased levels of cyclin D1. Accumulation of polyubiquitinated proteins within cells incubated with pioglitazone suggested dysfunction of proteasome activity. However, we did not observe any influence of pioglitazone on the activity of isolated proteasome and on the proteolytic activity in lysates of pioglitazone-treated MIA PaCa-2 cells. Further, treatment with pioglitazone did not cause an accumulation of fluorescent proteasome substrates in transfected HeLa cells expressing unstable GFP variants. Our results indicate that pioglitazone does not act as a direct or indirect proteasome inhibitor.     

Phylogenetic positions of seven poorly known species of Ferula (Apiaceae) with remarks on the phylogenetic utility of the plastid trnH-psbA,trnS-trnG,and atpB-rbcL intergenic spacers

Ferula L. is one of the most species-rich and taxonomically difficult genera of Apiaceae. In this study, we obtained nrDNA ITS sequences of seven poorly known species of Ferula (Ferula anatolica, Ferula sp. (tentatively identified as F. candelabrum by collectors), F. drudeana, F. huber-morathii, F. marmarica, F. talassica, and F. tunetana) and explored their phylogenetic positions using 148 ITS sequences of the subtribe Ferulinae from GenBank. Five of these newly sequenced species fall into three groups, corresponding to clades recognized in earlier molecular studies. Ferula sp. are added to clade, which is mostly composed of Central Asian species. This placement showed that identification as F. candelabrum was erroneous. The second clade, which is mostly composed of Mediterranean taxa, includes two species from North Africa: F. marmarica and F. tunetana. Despite the well-supported monophyly of this clade, the relationships inside this group need to be revised, as broadly distributed F. communis is paraphyletic with respect to other species. Ferula drudeana and F. huber-morathii, two narrow endemics from Turkey, are placed in the Central Asian clade. Two species, F. anatolica and F. talassica, do not fall into any of the recognized clades. In addition, we examined the sequence variation of three potentially highly variable pDNA regions, the trnH-psbA, trnS-trnG, and atpB-rbcL intergenic spacers, for a subset of 18 specimens. The resulting pDNA and ITS based phylogenetic trees were incongruent, as supported by significant ILD tests. The cause of this incongruence can be manifold, including hybridization, a lack of a phylogenetic signal, and homoplastic substitutions. Our analyses suggest that only trnS-trnG can be added to the list of pDNA markers used for phylogenetic studies of Ferula, as it has the highest number of parsimony informative characters and is easy to amplify from degraded material.     

Rapid multiple‐level coevolution in experimental populations of yeast killer and nonkiller strains

Coevolution between different biological entities is considered an important evolutionary mechanism at all levels of biological organization. Here, we provide evidence for coevolution of a yeast killer strain (K) carrying cytoplasmic dsRNA viruses coding for anti‐competitor toxins and an isogenic toxin‐sensitive strain (S) during 500 generations of laboratory propagation. Signatures of coevolution developed at two levels. One of them was coadaptation of K and S. Killing ability of K first increased quickly and was followed by the rapid invasion of toxin‐resistant mutants derived from S, after which killing ability declined. High killing ability was shown to be advantageous when sensitive cells were present but costly when they were absent. Toxin resistance evolved via a two‐step process, presumably involving the fitness‐enhancing loss of one chromosome followed by selection of a recessive resistant mutation on the haploid chromosome. The other level of coevolution occurred between cell and killer virus. By swapping the killer viruses between ancestral and evolved strains, we could demonstrate that changes observed in both host and virus were beneficial only when combined, suggesting that they involved reciprocal changes. Together, our results show that the yeast killer system shows a remarkable potential for rapid multiple‐level coevolution.     

Metal ions‐binding T4 lysozyme as an intramolecular protein purification tag compatible with X‐ray crystallography

Phage T4 lysozyme is a well folded and highly soluble protein that is widely used as an insertion tag to improve solubility and crystallization properties of poorly behaved recombinant proteins. It has been used in the fusion protein strategy to facilitate crystallization of various proteins including multiple G protein‐coupled receptors, lipid kinases, or sterol binding proteins. Here, we present a structural and biochemical characterization of its novel, metal ions‐binding mutant (mbT4L). We demonstrate that mbT4L can be used as a purification tag in the immobilized‐metal affinity chromatography and that, in many respects, it is superior to the conventional hexahistidine tag. In addition, structural characterization of mbT4L suggests that mbT4L can be used as a purification tag compatible with X‐ray crystallography.     

LTHREADER: prediction of extracellular ligand-receptor interactions in cytokines using localized threading

Identification of extracellular ligand-receptor interactions is important for drug design and the treatment of diseases. Difficulties in detecting these interactions using high-throughput experimental techniques motivate the development of computational prediction methods. We propose a novel threading algorithm, LTHREADER, which generates accurate local sequence-structure interface alignments and integrates various statistical scores and experimental binding data to predict interactions within ligand-receptor families. LTHREADER uses a profile of secondary structure and solvent accessibility predictions with residue contact maps to guide and constrain alignments. Using a decision tree classifier and low-throughput experimental data for training, it combines information inferred from statistical interaction potentials, energy functions, correlated mutations, and conserved residue pairs to predict interactions. We apply our method to cytokines, which play a central role in the development of many diseases including cancer and inflammatory and autoimmune disorders. We tested our approach on two representative families from different structural classes (all-alpha and all-beta proteins) of cytokines. In comparison with the state-of-the-art threader RAPTOR, LTHREADER generates on average 20% more accurate alignments of interacting residues. Furthermore, in cross-validation tests, LTHREADER correctly predicts experimentally confirmed interactions for a common binding mode within the 4-helical long-chain cytokine family with 75% sensitivity and 86% specificity with 40% gain in sensitivity compared to RAPTOR. For the TNF-like family our method achieves 70% sensitivity with 55% specificity with 70% gain in sensitivity. LTHREADER combines information from multiple complex templates when such data are available. When only one solved structure is available, a localized PSI-BLAST approach also outperforms standard threading methods with 25%-50% improvements in sensitivity.     

Effects of galactomannan as carbon source on production of α-galactosidase by Thermomyces lanuginosus: Fermentation,purification and partial characterisation

Thermophilic fungus Thermomyces lanuginosus CBS 395.62/b strain is able to grow and synthesise extracellular α-galactosidase in media containing galactomannan such as locust bean gum (LBG) or guar gum (GG). Production of extracellular α-galactosidase was enhanced from 1.2 U/mL to 4–6 U/mL meaning about 3–5 times increase by optimisation of medium composition. This enzyme was purified to homogeneity by partial precipitation with 2-propanol and different liquid chromatographical steps. The developed purification protocol yielded 22% of enzyme activity with 900 purified fold. Molecular mass of the purified α-galactosidase enzyme was estimated to be 53 kDa. Maximal catalytic activity of the enzyme was obtained in the acidic pH range between pH 4.6 and 4.8 and in the temperature range 60–66 °C. More than 95% of enzyme activity was remaining after 1-day incubation at 70 °C and on pH in the range from 4.0 to 7.0. The enzyme activity was significantly stimulated by Mg²⁺, Mn²⁺ and K⁺ ions, while considerably inhibited by the presence of Ca²⁺, Ag⁺ and Hg²⁺.