Progression to metastatic stage in a cellular model of prostate cancer is associated with methylation of the androgen receptor gene and transcriptional suppression of the insulin-like growth factor-I receptor gene

The progression of prostate cancer from an organ-confined, androgen-sensitive disease to a metastatic one is associated with dysregulation of androgen receptor (AR)-regulated target genes and with a decrease in insulin-like growth factor-I receptor (IGF1R) expression. DNA methylation of CpG islands is an epigenetic mechanism associated with gene silencing. Recent studies have demonstrated that methylation occurs early in prostate carcinogenesis and, furthermore, may contribute to androgen independence. The methylation status of the AR and IGF1R genes was evaluated in a series of prostate cancer cell lines corresponding to early (benign) and advanced (metastatic) stages of the disease. Results of 5-Aza-2′-deoxycytidine (5-Aza) experiments, methylation-specific PCR, and sodium bisulfite-direct DNA sequencing revealed that the AR promoter is hypermethylated in metastatic M12, but not in benign P69, cells. On the other hand, no methylation was seen in the IGF1R promoter at any stage of the disease. We show, however, that 5-Aza treatment, which caused demethylation of the AR promoter, led to a significant increase in IGF1R mRNA levels, whereas addition of the AR inhibitor flutamide decreased the IGF1R mRNA levels to basal values measured prior to the 5-Aza treatment. Given that the IGF1R gene has been identified as a downstream target for AR action, our data is consistent with a model in which the AR gene undergoes methylation during progression of the disease, leading to dysregulation of AR targets, including the IGF1R gene, at advanced metastatic stages.     

Elucidating substrate and inhibitor binding sites on the surface of GSK-3β and the refinement of a competitive inhibitor

A molecular understanding of substrate recognition of protein kinases provides an important basis for the development of substrate competitive inhibitors. Here, we explored substrate recognition and competitive inhibition of glycogen synthase kinase (GSK)-3β using molecular and computational tools. In previous work, we described Gln89 and Asn95 within GSK-3β as important substrates binding sites. Here, we show that the cavity bordered by loop 89-QDKRFKN-95, located in the vicinity of the GSK-3β catalytic core, is a promiscuous substrate binding subsite. Mutations within this segment highlighted Phe93 as an additional essential contact residue for substrates' recognition. However, unlike Gln89 and Asn95, Phe93 was also important for the binding of our previously described substrate competitive inhibitor, L803 [KEAPPAPPQS(p)P], and its cell-permeable variant L803-mts. The effects of the substitution of charged or polar residues within L803 further suggested that binding to GSK-3β is governed by hydrophobic interactions. Our computational model of GSK-3β bound to L803 was in agreement with the experimental data. It revealed L803 binding with a hydrophobic surface patch and identified interactions between Pro8 (L803) and Phe93 (GSK-3β). Computational modeling of new L803 variants predicted that inhibition would be strengthened by adding contacts with Phe93 or by increasing the hydrophobic content of the peptide. Indeed, the newly designed L803 variants showed improved inhibition. Our study identified different and overlapping elements in GSK-3β substrate and inhibitor recognition and provides a novel example for model-based rational design of substrate competitive inhibitors for GSK-3.     

Monitoring of tumor response to chemotherapy in vivo by a novel small-molecule detector of apoptosis

Utilization of molecular imaging of apoptosis for clinical monitoring of tumor response to anti-cancer treatments in vivo is highly desirable. To address this need, we now present ML-9 (butyl-2-methyl-malonic acid; MW = 173), a rationally designed small-molecule detector of apoptosis, based on a novel alkyl-malonate motif. In proof-of-concept studies, induction of apoptosis in tumor cells by various triggers both in vitro and in vivo was associated with marked uptake of ³H-ML-9 administered in vivo, in correlation with the apoptotic hallmarks of DNA fragmentation, caspase-3 activation and membrane phospholipid scrambling, and with correlative tumor regression. ML-9 uptake following chemotherapy was tumor-specific, with rapid clearance of the tracer from the blood and other non-target organs. Excess of non-labeled “cold” compound competitively blocked ML-9 tumor uptake, thus demonstrating the specificity of ML-9 binding. ML-9 may therefore serve as a platform for a novel class of small-molecule imaging agents for apoptosis, useful for assessment of tumor responsiveness to treatment. H. Grimberg, G. Levin and A. Shirvan contributed equally to this article.     

The protective effect of desferrioxamine on paraquat-treated pea (Pisum sativum)

Paraquat, a widely used herbicide, is photoreduced by photosystem I to the monovalent cation radical, which in turn, can react quickly and efficiently with molecular oxygen to produce superoxide anion radicals. In the presence of redox-active iron (or copper) superoxide radicals can serve as a source for the more active species such as hydroxyl radicals. The present sludv investigated the possible mediatory role of iron in paraquat to xicity. The results demonstrate that desferrioxamme (0–150μM) a highiy specific iron chelator, reduces the loss of proteins (by 34–69%) and lipid peroxidation (by 31–96%) in paraquat treated leaf cuts. Dcsferrioxamine also protects malate dehydrogenase (61–70%) hydroxvpyruvate reductase (54–100%), and Ca²⁺-dependent ATPase (25–34%) against the paraquat-induced loss of their activity. It also induces an increase in glutathione reductase activity (by 188%). These results, together with those from other experiments concerning the effect of desferrioxamine on paraquat uptake by the leaf cuts, suggest that the protection by desferrioxamine arises from its specific iron chelanon properties, and lead to the conclusion that nan-protein-bound and redoxactive forms of iron pluy a role in the manifestation of paraquat toxicity in plants.     

Substrate Competitive GSK-3 Inhibitors strategy and Implications

Glycogen synthase kinase-3 (GSK-3) is a highly conserved protein serine/threonine kinase ubiquitously distributed in eukaryotes as a constitutively active enzyme. Abnormally high GSK-3 activity has been implicated in several pathological disorders, including diabetes and neuron degenerative and affective disorders. This led to the hypothesis that inhibition of GSK-3 may have therapeutic benefit. Most GSK-3 inhibitors developed so far compete with ATP and often show limited specificity. Our goal is to develop inhibitors that compete with GSK-3 substrates, as this type of inhibitor is more specific and may be useful for clinical applications. We have employed computational, biochemical, and molecular analyses to gain in-depth understanding of GSK-3's substrate recognition. Here we argue that GSK-3 is a promising drug discovery target and describe the strategy and practice for developing specific substrate-competitive inhibitors of GSK-3.     

Combining multi-species genomic data for microRNA identification using a Naive Bayes classifier

MOTIVATION: Most computational methodologies for microRNA gene prediction utilize techniques based on sequence conservation and/or structural similarity. In this study we describe a new technique, which is applicable across several species, for predicting miRNA genes. This technique is based on machine learning, using the Naive Bayes classifier. It automatically generates a model from the training data, which consists of sequence and structure information of known miRNAs from a variety of species. RESULTS: Our study shows that the application of machine learning techniques, along with the integration of data from multiple species is a useful and general approach for miRNA gene prediction. Based on our experiments, we believe that this new technique is applicable to an extensive range of eukaryotes' genomes. Specific structure and sequence features are first used to identify miRNAs followed by a comparative analysis to decrease the number of false positives (FPs). The resulting algorithm exhibits higher specificity and similar sensitivity compared to currently used algorithms that rely on conserved genomic regions to decrease the rate of FPs.     

Directed evolution of hydrolases for prevention of G-type nerve agent intoxication

Organophosphate nerve agents are extremely lethal compounds. Rapid in vivo organophosphate clearance requires bioscavenging enzymes with catalytic efficiencies of >10(7) (M(-1) min(-1)). Although serum paraoxonase (PON1) is a leading candidate for such a treatment, it hydrolyzes the toxic S(p) isomers of G-agents with very slow rates. We improved PON1's catalytic efficiency by combining random and targeted mutagenesis with high-throughput screening using fluorogenic analogs in emulsion compartments. We thereby enhanced PON1's activity toward the coumarin analog of S(p)-cyclosarin by ～10(5)-fold. We also developed a direct screen for protection of acetylcholinesterase from inactivation by nerve agents and used it to isolate variants that degrade the toxic isomer of the coumarin analog and cyclosarin itself with k(cat)/K(M) ～ 10(7) M(-1) min(-1). We then demonstrated the in vivo prophylactic activity of an evolved variant. These evolved variants and the newly developed screens provide the basis for engineering PON1 for prophylaxis against other G-type agents.