Restoration of Spermatogenesis and Male Fertility Using an Androgen Receptor Transgene

Androgens signal through the androgen receptor (AR) to regulate male secondary sexual characteristics, reproductive tract development, prostate function, sperm production, bone and muscle mass as well as body hair growth among other functions. We developed a transgenic mouse model in which endogenous AR expression was replaced by a functionally modified AR transgene. A bacterial artificial chromosome (BAC) was constructed containing all AR exons and introns plus 40 kb each of 5'' and 3'' regulatory sequence. Insertion of an internal ribosome entry site and the EGFP gene 3’ to AR allowed co-expression of AR and EGFP. Pronuclear injection of the BAC resulted in six founder mice that displayed EGFP production in appropriate AR expressing tissues. The six founder mice were mated into a Sertoli cell specific AR knockout (SCARKO) background in which spermatogenesis is blocked at the meiosis stage of germ cell development. The AR-EGFP transgene was expressed in a cyclical manner similar to that of endogenous AR in Sertoli cells and fertility was restored as offspring were produced in the absence of Sertoli cell AR. Thus, the AR-EGFP transgene under the control of AR regulatory elements is capable of rescuing AR function in a cell selective, AR-null background. These initial studies provide proof of principle that a strategy employing the AR-EGFP transgene can be used to understand AR functions. Transgenic mice expressing selective modifications of the AR-EGFP transgene may provide crucial information needed to elicit the molecular mechanisms by which AR acts in the testis and other androgen responsive tissues.     

Block‐cyclic redistribution over heterogeneous networks

Clusters of workstations and networked parallel computing systems are emerging as promising computational platforms for HPC applications. The processors in such systems are typically interconnected by a collection of heterogeneous networks such as Ethernet, ATM, and FDDI, among others. In this paper, we develop techniques to perform block-cyclic redistribution over P processors interconnected by such a collection of heterogeneous networks. We represent the communication scheduling problem using a timing diagram formalism. Here, each interprocessor communication event is represented by a rectangle whose height denotes the time to perform this event over the heterogeneous network. The communication scheduling problem is then one of appropriately positioning the rectangles so as to minimize the completion time of all the communication events. For the important case where the block size changes by a factor of K, we develop a heuristic algorithm whose completion time is at most twice the optimal. The running time of the heuristic is O(PK ²). Our heuristic algorithm is adaptive to variations in network performance, and derives schedules at run-time, based on current information about the available network bandwidth. Our experimental results show that our schedules always have communication times that are very close to optimal. This revised version was published online in July 2006 with corrections to the Cover Date.     

Immobilization of <Emphasis Type="Italic">Aspergillus oryzae</Emphasis> α-galactosidase in gelatin and its application in removal of flatulence-inducing sugars in soymilk

Raffinose oligosaccharides (RO) are the major factors responsible for flatulence following ingestion of soybean-derived products. Removal of RO from seeds or soymilk would then have a positive impact on the acceptance of soy-based foods. In this study, α-galactosidase from Aspergillus oryzae was entrapped in gelatin using formaldehyde as the hardener. The immobilization yield was 64.3% under the optimum conditions of immobilization. The immobilized α-galactosidase showed a shift in optimum pH from 4.8 to 5.4 in acetate buffer. The optimum temperature also shifted from 50°C to 57°C compared with soluble enzyme. Immobilized α-galactosidase was used in batch, repeated batch and continuous mode to degrade RO present in soymilk. In the repeated batch, 45% reduction of RO was obtained in the fourth cycle. The performance of immobilized α-galactosidase was tested in a fluidized bed reactor at different flow rates and 86% reduction of RO in soymilk was obtained at 25 ml h⁻¹ flow rate. The study revealed that immobilized α-galactosidase in continuous mode is efficient in reduction of RO present in soymilk.     

GMP synthetase stimulates histone H2B deubiquitylation by the epigenetic silencer USP7

The packaging of eukaryotic genomic DNA into chromatin is modulated through a range of posttranslational histone modifications. Among these, the role of histone ubiquitylation remains poorly understood. Here, we show that the essential Drosophila ubiquitin-specific protease 7 (USP7) contributes to epigenetic silencing of homeotic genes by Polycomb (Pc). We purified USP7 from embryo nuclear extracts as a stable heteromeric complex with guanosine 5'-monophosphate synthetase (GMPS). The USP7-GMPS complex catalyzed the selective deubiquitylation of histone H2B, but not H2A. Biochemical assays confirmed the tight association between USP7 and GMPS in Drosophila embryo extracts. Similar to USP7, mutations in GMPS acted as enhancers of Pc in vivo. USP7 binding to GMPS was required for histone H2B deubiquitylation and strongly augmented deubiquitylation of the human tumor suppressor p53. Thus, GMPS can regulate the activity of a ubiquitin protease. Collectively, these results implicate a biosynthetic enzyme in chromatin control via ubiquitin regulation.     

Gene selection for tumor classification using a novel bio-inspired multi-objective approach

Identifying the informative genes has always been a major step in microarray data analysis. The complexity of various cancer datasets makes this issue still challenging. In this paper, a novel Bio-inspired Multi-objective algorithm is proposed for gene selection in microarray data classification specifically in the binary domain of feature selection. The presented method extends the traditional Bat Algorithm with refined formulations, effective multi-objective operators, and novel local search strategies employing social learning concepts in designing random walks. A hybrid model using the Fisher criterion is then applied to three widely-used microarray cancer datasets to explore significant biomarkers which reveal the effectiveness of the proposed method for genomic analysis. Experimental results unveil new combinations of informative biomarkers have association with other studies.     

Solution structure of a peptide derived from the beta subunit of LFA-1

Cell-adhesion molecules are critical for immune response. It is well known that the inhibition of adhesion is very effective in immunotherapy and that the peptides derived from leukocyte function associated antigen (LFA-1) and intercellular adhesion molecule (ICAM-1) modulate cell-adhesion interaction. The three-dimensional structure of a cyclic peptide, Cyclo(1,12)Pen(1)-Asp(2)-Leu(3)-Ser(4)-Tyr(5)-Ser(6)-Leu(7)-Asp(8)-Asp(9)-Leu(10)-Arg(11)-Cys(12) (cLBEL) derived from the beta subunit of LFA-1 which is known to modulate homotypic T-cell-adhesion process has been studied using NMR, CD and molecular dynamics (MD) simulation. The peptide exhibits two possible conformations in solution. Structure I has a conformation with two consecutive beta-turns involving residues Tyr(5)-Ser(6)-Leu(7)-Asp(8) and Asp(9)-Leu(10)-Arg(11)-Cys(12). Structure II has a beta-turn at Tyr(5)-Ser(6)-Leu(7)-Asp(8) and forms a beta-hairpin type of conformation.     

Comparative proteomic analysis of Staphylococcus aureus strains with differences in resistance to the cell wall-targeting antibiotic vancomycin

Three isogenic strains derived from a clinical vancomycin-intermediate Staphylococcus aureus isolate were examined by comparative protein abundance analysis. Subcellular fractionation was followed by protein separation in 2-DE gels and spot identification by MALDI-TOFTOF-MS and LC-MS/MS. Sixty-five significant protein abundance changes were determined. Numerous enzymes participating in the purine biosynthesis pathway were dramatically increased in abundance in strain VP32, which featured the highest minimal inhibitory concentration for vancomycin, compared to strains P100 and HIP5827. Peptidoglycan hydrolase LytM (LytM) and the SceD protein, a putative transglycosylase, were increased in abundance in the cell envelope fraction of strain VP32, whereas the enzyme D-Ala-D-Ala ligase was decreased in its cytosol fraction. Furthermore, penicillin-binding protein 2 (PBP2) had substantially higher activity in strain VP32 compared to that in strain HIP5827. LytM, PBP2 and D-Ala-D-Ala ligase catalyze reactions in the biosynthesis or the metabolism of cell wall peptidoglycan. It is plausible that expression and activity changes of these enzymes in strain VP32 are responsible for an altered cell wall turnover rate, which has been observed, and an altered peptidoglycan structure, which has yet to be elucidated for this highly vancomycin-resistant strain.