Embryonic gene expression and pro-protein processing of proSAAS during rodent development

In vitro assays have demonstrated that peptides derived from the recently-identified proSAAS precursor inhibit prohormone convertase 1 (PC1) suggesting that this novel peptide may function as an endogenous inhibitor of PC1. To further understand the role of proSAAS in vivo, we have investigated the expression of proSAAS mRNA and processing of proSAAS during pre- and early postnatal rodent development. In situ hybridization showed that, by embryonic day 12.5 (e12.5) in the rat, proSAAS mRNA was present in essentially all differentiating neurons in the mantle layer of the myelencephalon, metencephalon, diencephalon, spinal cord and several sympathetic ganglia. During later stages of prenatal development, widespread proSAAS expression continues in post-mitotic neurons of both the CNS and PNS and begins in endocrine cells of the anterior and intermediate pituitary. Although proSAAS expression overlaps with PC1 in several regions, its overall expression pattern is significantly more extensive, suggesting that proSAAS may be multifunctional during development. Processed forms of proSAAS are present by at least mid-gestation with marked accumulation of two C-terminal forms, comprising the PC1 inhibitory fragment of proSAAS.     

Thin-film coupled fluid-solid analysis of flow through the Ahmed glaucoma drainage device

The Ahmed glaucoma valve (AGV) is a popular glaucoma drainage device, allowing maintenance of normal intraocular pressure in patients with reduced trabecular outflow facility. The uniquely attractive feature of the AGV, in contrast to other available drainage devices, is its variable resistance in response to changes in flow rate. As a result of this variable resistance, the AGV maintains a pressure drop between 7 and 12 mm Hg for a wide range of aqueous humor flow rates. In this paper, we demonstrate that the nonlinear behavior of the AGV is a direct result of the flexibility of the valve material. Due to the thin geometry of the system, the leaflets of the AGV were modeled using the von Kármán plate theory coupled to a Reynolds lubrication theory model of the aqueous humor flow through the valve. The resulting two-dimensional coupled steady-state partial differential equation system was solved by the finite element method. The Poisson's ratio of the valve was set to 0.45, and the modulus was regressed to experimental data, giving a best-fit value 4.2 MPa. Simulation results compared favorably with previous experimental studies and our own pressure-drop/flow-rate data. For an in vitro flow of 1.6 microL/min, we calculated a pressure drop of 5.8 mm Hg and measured a pressure drop of 5.2 +/- 0.4 mm Hg. As flow rate was increased, pressure drop rose in a strongly sublinear fashion, with a flow rate of 20 microL/min giving a predicted pressure drop of only 10.9 mm Hg and a measured pressure drop of 10.5 +/- 1.1 mm Hg. The AGV model was then applied to simulate in vivo conditions. For an aqueous humor flow rate of 1.5-3.0 microL/min, the calculated pressure drops were 5.3 and 6.3 mm Hg.     

Oxidative stress in heroin administered mice and natural antioxidants protection

The oxidative stress of heroin administered mice via intraperitoneal injection, and the therapeutic effects of exogenous antioxidants on the restrain of the oxidative damage of biomolecules and withdrawal syndrome were studied. After administered with heroin, mice showed decrease of total antioxidant capacity in blood, increase of reactive oxygen species production in white blood cells, and increase of oxidative damages of protein and lipid in brain and liver, but not in heart. On the other hand, exogenous antioxidants could restrain the oxidative stress, even alleviate withdrawal syndrome.     

The dependence of the antibacterial effect of the polycationic peptide warnerin on the energy state of target cells

The bactericidal effect of the polycationic peptide warnerin, produced by Staphylococcus warneri IEGM KL-1, was found to depend on the energy state of susceptible Staphylococcus epidermidis cells. The pretreatment of these cells with compounds that diminish the proton-motive force of plasma membranes enhanced cell tolerance to warnerin. The components and pH of the membrane proton potential influenced the antibacterial activity of warnerin in different ways. In particular, the antibacterial activity of warnerin decreased when the electric component of the proton-motive force of target membranes declined.__________Translated from Mikrobiologiya, Vol. 74, No. 2, 2005, pp. 166–171.Original Russian Text Copyright © 2005 by Korobov, Titova, Lemkina, Polyudova, Pankova.     

Calmodulin regulates the post-anaphase reposition of centrioles during cytokinesis

INTRODUCTIONCytokinesis is a very complicated and carefully orches-trated process. During the last step of this process, anintercellular bridge is formed between the two daughtercells. A number of studies suggest that this intercellularbridge is not merel…     

2004 SIVB Congress Symposium Proceedings “Thinking Outside the Cell”: Optimized Chemodiversity in Protoplast-derived Lines of St. John's Wort (<Emphasis Type="Italic">Hypericum perforatum</Emphasis> L.)

Summary A procedure for protoplast isolation and plant regeneration of St. John's wort has been developed to utilize cell-to-cell variability for optimum production of valuable medicinal compounds. Calluses, induced from hypocotyl segments of St. John's wort seedlings, were used for protoplast isolation, induction of sustained cell division, and ultimately, plant regeneration. Callus-isolated protoplasts at a density of 2.0×10⁵ per ml were embedded in 0.6% Na-alginate blocks and cultured in a medium containing modified Murashige and Skoog (MS) salts, 2.5 μM 6-benzylaminopurine (BA), 5.0 μMα-naphthaleneacetic acid (NAA), and 0.5 moll⁻¹ glucose. Protoplast-derived colonies formed compact calluses when transferred onto 0.35% gellan gum-solidified MS medium supplemented with 2.5 μM BA and 2.5 μM NAA. Shoot organogenesis from the protoplast-derived callus was induced on MS medium supplemented with 5 μM thidiazuron. Complete plantlets were obtained from the regenerated shoots on MS basal medium. A greater than 3-fold variation of antioxidant activity was observed among the protoplast-derived plantets and chemically distinct germplasm lines were selected on the basis of phytochemical profiles. The protoplast to plant regeneration protocol developed in this study provides the foundation for development of novel genotypes with potential expansion of the genetic diversity through somatic hybridization, and organelle transplantation.     

A database of recombinant viruses and recombinant viral vectors available from the RIKEN DNA bank

BACKGROUND: Viral vectors are required as gene-delivery systems for gene therapy and basic research. Recombinant adenoviruses (rAds) expressing genes of interest are being developed as research tools and many studies in vitro and in vivo have already been performed with such rAds. METHODS: Shuttle vectors for rAds were constructed with full-length cDNAs and rAds were generated in HEK293 cells by the COS-TPC method. The rAds and shuttle vectors were developed by the Japanese research community and deposited in the RIKEN DNA Bank (RDB; http://www.brc.riken.jp/lab/dna/en/) for distribution to the scientific community. The Recombinant Virus Database (RVD; http://www.brc.riken.jp/lab/dna/rvd/) was established at the RIKEN BioResource Center (BRC) in Japan as the source of information about and distribution of the various resources. RESULTS: The RIKEN BRC is releasing more than 300 recombinant viruses (RVs) and 500 shuttle vectors, as well as all related information, which is included in a newly established database, the RVD. The RVD consists of (i) information about the RVs, the inserted cDNAs and the shuttle vectors; (ii) data about sequence-tagged sites (STSs) that are markers of viral DNAs; and (iii) experimental protocols for the use of RVs. CONCLUSIONS: The new database and available resources should be very useful to scientists who are studying human gene therapy and performing related basic research. It is a web-interfaced flat-file database that can be accessed through the internet. Moreover, all of the resources deposited in the RDB, which is a public facility in Japan, are available to researchers around the world.     

Efficient fluorescence labeling of a large RNA through oligonucleotide hybridization

We present an efficient method of introducing fluorophore labels at selected locations in a large RNA. The method is based on specific and highly efficient hybridization between a fluorophore-containing DNA oligonucleotide and a modular hairpin loop replacing a functionally unimportant hairpin loop in the RNA. We demonstrate its feasibility using a 255-nucleotide RNA derived from the catalytic domain of RNase P from Bacillus subtilis. Hybridization of the DNA oligonucleotide to the modular hairpin loop minimally perturbs the structure and function of this RNA. This labeling scheme should be applicable in studies of RNA conformational dynamics by ensemble and single molecule fluorescence methods.     

Multiclass cancer classification and biomarker discovery using GA-based algorithms

MOTIVATION: The development of microarray-based high-throughput gene profiling has led to the hope that this technology could provide an efficient and accurate means of diagnosing and classifying tumors, as well as predicting prognoses and effective treatments. However, the large amount of data generated by microarrays requires effective reduction of discriminant gene features into reliable sets of tumor biomarkers for such multiclass tumor discrimination. The availability of reliable sets of biomarkers, especially serum biomarkers, should have a major impact on our understanding and treatment of cancer. RESULTS: We have combined genetic algorithm (GA) and all paired (AP) support vector machine (SVM) methods for multiclass cancer categorization. Predictive features can be automatically determined through iterative GA/SVM, leading to very compact sets of non-redundant cancer-relevant genes with the best classification performance reported to date. Interestingly, these different classifier sets harbor only modest overlapping gene features but have similar levels of accuracy in leave-one-out cross-validations (LOOCV). Further characterization of these optimal tumor discriminant features, including the use of nearest shrunken centroids (NSC), analysis of annotations and literature text mining, reveals previously unappreciated tumor subclasses and a series of genes that could be used as cancer biomarkers. With this approach, we believe that microarray-based multiclass molecular analysis can be an effective tool for cancer biomarker discovery and subsequent molecular cancer diagnosis.