Characterization of a cysteine protease from wheat Triticum aestivum (cv. Giza 164)

Enzymes, especially proteases, have become an important and indispensable part of the processes used by the modern food and feed industry to produce a large and diversified range of products for human and animal consumption. A cysteine protease, used extensively in the food industry, was purified from germinated wheat Triticum aestivum (cv. Giza 164) grains through a simple reproducible method consisting of extraction, ion exchange chromatography and gel filtration. The molecular weight of the enzyme was estimated to be 61000+/-1200-62000+/-1500 by SDS-PAGE and gel filtration. The cysteine protease had an isoelectric point and pH optimum at 4.4 and 4.0, respectively. The enzyme exhibited more activity toward azocasein than the other examined substrates with K(m) 2.8+/-0.15 mg azocasein/ml. In addition, it had a temperature optimum of 50 degrees C and based on a heat stability study 55% of its initial activity remained after preincubation of the enzyme at 50 degrees C for 30 min prior to substrate addition. All the examined metal cations inhibited the enzyme except Co(2+), Mg(2+), Mn(2+) and Li(+). The proteolytic activity of the enzyme was inhibited by thiol-specific inhibitors, whereas iodoacetate and p-hydroxymercuribenzoate caused a competitive inhibition with Ki values 6+/-0.3 mM and 21+/-1.2 microM, respectively. Soybean trypsin inhibitor had no effect on the enzyme. The enzyme activity remained almost constant for 150 days of storage at -20 degrees C. The properties of this enzyme, temperature and pH optima, substrate specificity, stability and sensitivity to inhibitors or activators, meet the prerequisites needed for food industries.     

Selecting SNPs for association studies based on population frequencies: a novel interactive tool and its application to polygenic diseases

Common complex polygenic diseases as autoimmune diseases have not been completely understood on a molecular level. While many genes are known to be involved in the pathways responsible for the phenotype, explicit causes for the susceptibility of the disease remain to be elucidated. The susceptibility to disease is thought to be the result of genetic epistatic interactions between common polymorphic genes. This polymorphism is mostly caused by single nucleotide polymorphisms (SNPs). Human subpopulations are known to differ in the susceptibility to the diseases and generally in the distribution of single nucleotide polymorphisms. The here presented approach retrieves SNPs with the most divergent frequencies for selected human subpopulations to help defining properties for the experimental verification of SNPs within defined regions. A web-accessible program implementing this approach was evaluated for multiple sclerosis (MS), a common human polygenic disease. A link to a summary of data from "The SNP Consortium" (TSC) with sex-dependencies of SNPs is available. Associations of SNPs to genes, genetic markers and chromosomal loci are retrieved from the Ensembl project. This tool is recommended to be used in conjunction with microarray analyses or marker association studies that link genes or chromosomal loci to particular diseases.     

4th meeting of the EU research network EUROME: From the identification of genes and cellular networks in murine models of arthritis to novel therapeutic intervention strategies in rheumatoid arthritis,London, UK, 9 March 2004

Rheumatoid arthritis (RA) is a common human disease with a prevalence of about 1% in most parts of the world. At the time of symptom onset it is difficult to predict the severity of subsequent disease course. After 2 years joint erosions are seen in most patients, and most patients become clinically disabled within 20 years. A recent meeting at the Kennedy Institute of Rheumatology (Imperial College, London) brought together representatives from several European centres of excellence, to discuss research funded by the EU Framework 5 Quality of Life Programme. This research network combines gene and protein expression profiling with different animal models of RA to identify cells, genes and pathways contributing to arthritis initiation, progression and chronicity. The studies discussed highlight the reality that collaboration between different research groups is the basis of groundbreaking research and, it is hoped, eventual new therapies for RA.     

Structural characterization of the peroxodiiron(III) intermediate generated during oxygen activation by the W48A/D84E variant of ribonucleotide reductase protein R2 from Escherichia coli

The diiron(II) cluster in the R2 subunit of Escherichia coli ribonucleotide reductase (RNR) activates oxygen to generate a mu-oxodiiron(III) cluster and the stable tyrosyl radical that is critical for the conversion of ribonucleotides to deoxyribonucleotides. Like those in other diiron carboxylate proteins, such as methane monooxygenase (MMO), the R2 diiron cluster is proposed to activate oxygen by formation of a peroxodiiron(III) intermediate followed by an oxidizing high-valent cluster. Substitution of key active site residues results in perturbations of the normal oxygen activation pathway. Variants in which the active site ligand, aspartate (D) 84, is changed to glutamate (E) are capable of accumulating a mu-peroxodiiron(III) complex in the reaction pathway. Using rapid freeze-quench techniques, this intermediate in a double variant, R2-W48A/D84E, was trapped for characterization by M?ssbauer and X-ray absorption spectroscopy. These samples contained 70% peroxodiiron(III) intermediate and 30% diferrous R2. An Fe-Fe distance of 2.5 A was found to be associated with the peroxo intermediate. As has been proposed for the structures of the higher valent intermediates in both R2 and MMO, carboxylate shifts to a mu-(eta(1),eta(2)) or a mu-1,1 conformation would most likely be required to accommodate the short 2.5 A Fe-Fe distance. In addition, the diferrous form of the enzyme present in the reacted sample has a longer Fe-Fe distance (3.5 A) than does a sample of anaerobically prepared diferrous R2 (3.4 A). Possible explanations for this difference in detected Fe-Fe distance include an O(2)-induced conformational change prior to covalent chemistry or differing O(2) reactivity among multiple diiron(II) forms of the cluster.     

Gene-Expression Profiling of Experimental Autoimmune Encephalomyelitis

Experimental autoimmune encephalomyelitis (EAE) is a mouse model that serves as an experimental tool for studying the etiology, pathogenesis, as well as new therapeutic approaches of multiple sclerosis (MS). EAE is a polygenic chronic inflammatory demyelinating disease of the nervous system that involves the interaction between genetic and environmental factors. Previous studies have identified multiple quantitative trait loci (QTL) controlling different aspects of disease pathogenesis. However, progress in identifying new susceptibility genes outside the MHC locus has been slow. With the advent of new global methods for genetic analysis such as large-scale sequencing, gene expression profiling combined with classic linkage analysis and congenic and physical mapping progress is considerably accelerating. Here we review our preliminary work on the use of gene expression mapping to identify new putative genetic pathways contributing to the pathogenesis of EAE.     

Proteasome activity is required for androgen receptor transcriptional activity via regulation of androgen receptor nuclear translocation and interaction with coregulators in prostate cancer cells

Upon binding to androgen, the androgen receptor (AR) can translocate into the nucleus and bind to androgen response element(s) to modulate its target genes. Here we have shown that MG132, a 26 S proteasome inhibitor, suppressed AR transactivation in an androgen-dependent manner in prostate cancer LNCaP and PC-3 cells. In contrast, MG132 showed no suppressive effect on glucocorticoid receptor transactivation. Additionally, transfection of PSMA7, a proteasome subunit, enhanced AR transactivation in a dose-dependent manner. The suppression of AR transactivation by MG132 may then result in the suppression of prostate-specific antigen, a well known marker used to monitor the progress of prostate cancer. Further mechanistic studies indicated that MG132 may suppress AR transactivation via inhibition of AR nuclear translocation and/or inhibition of interactions between AR and its coregulators, such as ARA70 or TIF2. Together, our data suggest that the proteasome system plays important roles in the regulation of AR activity in prostate cancer cells and may provide a unique target site for the development of therapeutic drugs to block androgen/AR-mediated prostate tumor growth.     

Glossina austeni (Diptera: Glossinidae) eradicated on the island of Unguja, Zanzibar, using the sterile insect technique

An area-wide integrated tsetse eradication project was initiated in Zanzibar in 1994 by the International Atomic Energy Agency and the governments of Tanzania and Zanzibar, to eradicate Glossina austeni Newstead from Unguja Island (Zanzibar) using the sterile insect technique. Suppression of the tsetse population on Unguja was initiated in 1988 by applying residual pyrethroids as a pour-on formulation to livestock and by the deployment of insecticide impregnated screens in some of the forested areas. This was followed by sequential releases of gamma-sterilized male flies by light aircraft. The flies, packaged in carton release containers, were dispersed twice a week along specific flight lines separated by a distance of 1-2 km. More than 8.5 million sterile male flies were released by air from August 1994 to December 1997. A sterile to indigenous male ratio of >50:1 was obtained in mid-1995 and it increased to >100:1 by the end of 1995. As a consequence the proportion of sampled young females (1-2 ovulations), with an egg in utero in embryonic arrest or an uterus empty as a result of expulsion of a dead embryo, increased from <25% in the 1st quarter to >70% in the last quarter of 1995. In addition, the age structure of the female population became significantly distorted in favor of old flies (> or = 4 ovulations) by the end of 1995. The apparent density of the indigenous fly population declined rapidly in the last quarter of 1995, followed by a population crash in the beginning of 1996. The last trapped indigenous male and female flies were found in weeks 32 and 36, 1996, respectively. Time for 6 fly generations elapsed between the last catch of an indigenous fly and the end of the sterile male releases in December 1997.     

A conformational change in PBX1A is necessary for its nuclear localization

The fly homeodomain (HD) protein EXTRADENTICLE (EXD) is dependent on a second HD protein, HOMOTHORAX (HTH), for nuclear localization. We show here that in insect cells the mammalian homolog of EXD, PBX1A, shows a similar dependence on the HTH homologs MEIS1, 2, and 3 and the MEIS-like protein PREP1. Paradoxically, removal of residues N-terminal to the PBX1A HD abolishes interactions with MEIS/PREP but allows nuclear accumulation of PBX1A. We use deletion mapping and fusion to green fluorescent protein to map two cooperative nuclear localization signals (NLSs) in the PBX HD. The results of DNA-binding assays and pull-down experiments are consistent with a model whereby the PBX N-terminus binds to the HD and masks the two NLSs. In support of the model, a mutation in the PBX HD that disrupts contact with the N-terminus leads to constitutive nuclear localization. The HD mutation also increases sensitivity to protease digestion, consistent with a change in conformation. We propose that MEIS family proteins induce a conformational change in PBX that unmasks the NLS, leading to nuclear localization and increased DNA-binding activity. Consistent with this, PBX1 is nuclear only where Meis1 is expressed in the mouse limb bud.     

Straightforward method for calibration of mechanistic cation exchange chromatography models for industrial applications

Mechanistic modeling of chromatography processes is one of the most promising techniques for the digitalization of biopharmaceutical process development. Possible applications of chromatography models range from in silico process optimization in early phase development to in silico root cause investigation during manufacturing. Nonetheless, the cumbersome and complex model calibration still decelerates the implementation of mechanistic modeling in industry. Therefore, the industry demands model calibration strategies that ensure adequate model certainty in a limited amount of time. This study introduces a directed and straightforward approach for the calibration of pH-dependent, multicomponent steric mass action (SMA) isotherm models for industrial applications. In the case investigated, the method was applied to a monoclonal antibody (mAb) polishing step including four protein species. The developed strategy combined well-established theories of preparative chromatography (e.g. Yamamoto method) and allowed a systematic reduction of unknown model parameters to 7 from initially 32. Model uncertainty was reduced by designing two representative calibration experiments for the inverse estimation of remaining model parameters. Dedicated experiments with aggregate-enriched load material led to a significant reduction of model uncertainty for the estimates of this low-concentrated product-related impurity. The model was validated beyond the operating ranges of the final unit operation, enabling its application to late-stage downstream process development. With the proposed model calibration strategy, a systematic experimental design is provided, calibration effort is strongly reduced, and local minima are avoided.