Highly efficient "tight fit" immobilization of alpha-chymotrypsin in mesoporous MCM-41: a novel approach using precursor immobilization and activation

The zymogen alpha-chymotrypsinogen A is bound to mesoporous silica MCM-41 with a protein loading of 170 mg/g solid (MCM-Z) by a simple stirring in aqueous tris-HCl buffer (pH 7.2). The bound zymogen is then activated with trypsin to obtain alpha-chymotrypsin immobilized on MCM-41 (MCM-E.I) that displays an effective enzyme activity corresponding to 65 mg protein/g of solid support (3250 BTEE units/g). A direct immobilization of commercially available alpha-chymotrypsin (MCM-E.II) gives lower loading (1250 BTEE units/g). Protein content of the solid support after immobilization is confirmed by thermogravimetric analysis (TGA). The enzyme is tightly bound to the support and can be used over 100 recycles over 1 week in aqueous as well as reverse micellar media. The immobilized enzyme (MCM-E.I) has been used for resolution of N-acetyl-dl-amino acid esters and racemic trans-4-methoxy-3-phenylglycidic acid (PGA) methyl ester.     

A high-throughput method for enzyme kinetic studies

A simple and flexible setup for conducting drug metabolism studies is described in this report. A heating block was designed for the Multimek liquid handler platform for incubation of multiple samples at 37 degrees C in a 96-well format. This setup enables the rapid performance of drug metabolism experiments on a large number of samples. In this report, the authors present the validation of the system by 1) showing reproducible and consistent determination of the in vitro half-life of midazolam in every well across the entire plate and 2) determination of metabolic parameter values of midazolam, testosterone, diclofenac, warfarin, and dextromethorphan and inhibition parameter values of quinidine and ketoconazole, all comparable to literature values. In addition, the authors demonstrate the application of the setup to determining the metabolic stability of a set of proprietary compounds, the inhibition of activity of cytochrome P450 (CYP) enzymes, and the conduct of a single combination experiment that can simultaneously determine the metabolic stability and CYP inhibition activity. Overall, the system represents a simple, high-throughput and useful tool for drug metabolism screening in drug discovery.     

Apoptosis in yeasts

Although yeasts lack some elements of the complex apoptotic machinery of metazoan cells, recent studies show that many features of apoptosis, including a caspase-like activity, can be induced in these organisms by DNA damage and other apoptotic triggers. These remarkable findings provide a compelling argument for increased efforts to bring the powerful genetic approaches available to yeast researchers more directly to bear on questions related to apoptosis and its induction or inhibition by drugs. Yeasts may provide a particularly useful model for understanding connections between DNA damage, cell cycle regulation and apoptosis. Here we summarize these recent findings and explore their implications, particularly for the development of more effective therapeutic strategies for treating cancer.     

PhyA, a secreted protein of Xanthomonas oryzae pv. oryzae, is required for optimum virulence and growth on phytic acid as a sole phosphate source

Xanthomonas oryzae pv. oryzae causes bacterial leaf blight, a serious disease of rice. We have identified a novel virulence deficient mutant (BXO1691) of X. oryzae pv. oryzae that has a Tn5 insertion in an open reading frame (phyA; putative phytase A) encoding a 373-amino acid (aa) protein containing a 28-aa predicted signal peptide. Extracellular protein profiles revealed that a 38-kDa band is absent in phyA mutants as compared with phyA+ strains. A BLAST search with phyA and its deduced polypeptide sequence indicated significant similarity with conserved hypothetical proteins in Xanthomonas axonopodis pv. citri and Xanthomonas campestris pv. campestris and limited homology to secreted phytases of Bacillus species. Homology modeling with a Bacillus phytase as the template suggests that the PhyA protein has a similar six-bladed beta-propeller architecture and exhibits conservation of certain critical active site residues. Phytases are enzymes that are involved in degradation of phytic acid (inositol hexaphosphate), a stored form of phosphate in plants. The phyA mutants exhibit a growth deficiency in media containing phytic acid as a sole phosphate source. Exogenous phosphate supplementation promotes migration of phyA X. oryzae pv. oryzae mutants in rice leaves. These results suggest that the virulence deficiency of phyA mutants is, at least in part, due to inability to use host phytic acid as a source of phosphate. phyA-like genes have not been previously reported to be involved in the virulence of any plant pathogenic bacterium.     

Agrobacterium-mediated genetic transformation of groundnut (arachis hypogaea L.): An assessment of factors affecting regeneration of transgenic plants

Transgenic groundnut (Arachis hypogaea L.) plants were produced efficiently by inoculating different explants withAgrobacterium tumefaciens strain LBA4404 harbouring a binary vector pBM21 containinguidA (GUS) andnptll (neomycin phosphotransferase) genes. Genetic transformation frequency was found to be high with cotyledonary node explants followed by 4 d cocultivation. This method required 3 days of precultivation period before cocultivation withAgrobacterium. A concentration of 75 mg/l kanamycin sulfate was added to regeneration medium in order to select transformed shoots. Shoot regeneration occurred within 4 weeks; excised shoots were rooted on MS medium containing 50 mg/I kanamycin sulfate before transferring to soil. The expression of GUS gene (uidA gene) in the regenerated plants was verified by histochemical and fluorimetric assays. The presence ofuidA andnptll genes in the putative transgenic lines was confirmed by PCR analysis. Insertion of thenptll gene in the nuclear genome of transgenic plants was verified by genomic Southern hybridization analysis. Factors affecting transformation efficiency are discussed.     

Tensor GSVD of Patient- and Platform-Matched Tumor and Normal DNA Copy-Number Profiles Uncovers Chromosome Arm-Wide Patterns of Tumor-Exclusive Platform-Consistent Alterations Encoding for Cell Transformation and Predicting Ovarian Cancer Survival

The number of large-scale high-dimensional datasets recording different aspects of a single disease is growing, accompanied by a need for frameworks that can create one coherent model from multiple tensors of matched columns, e.g., patients and platforms, but independent rows, e.g., probes. We define and prove the mathematical properties of a novel tensor generalized singular value decomposition (GSVD), which can simultaneously find the similarities and dissimilarities, i.e., patterns of varying relative significance, between any two such tensors. We demonstrate the tensor GSVD in comparative modeling of patient- and platform-matched but probe-independent ovarian serous cystadenocarcinoma (OV) tumor, mostly high-grade, and normal DNA copy-number profiles, across each chromosome arm, and combination of two arms, separately. The modeling uncovers previously unrecognized patterns of tumor-exclusive platform-consistent co-occurring copy-number alterations (CNAs). We find, first, and validate that each of the patterns across only 7p and Xq, and the combination of 6p+12p, is correlated with a patient’s prognosis, is independent of the tumor’s stage, the best predictor of OV survival to date, and together with stage makes a better predictor than stage alone. Second, these patterns include most known OV-associated CNAs that map to these chromosome arms, as well as several previously unreported, yet frequent focal CNAs. Third, differential mRNA, microRNA, and protein expression consistently map to the DNA CNAs. A coherent picture emerges for each pattern, suggesting roles for the CNAs in OV pathogenesis and personalized therapy. In 6p+12p, deletion of the p21-encoding CDKN1A and p38-encoding MAPK14 and amplification of RAD51AP1 and KRAS encode for human cell transformation, and are correlated with a cell’s immortality, and a patient’s shorter survival time. In 7p, RPA3 deletion and POLD2 amplification are correlated with DNA stability, and a longer survival. In Xq, PABPC5 deletion and BCAP31 amplification are correlated with a cellular immune response, and a longer survival.