Can membrane excitation be described without a membrane capacity?

A simplified model of excitation is introduced in which the membrane capacity is ignored. It is shown that: (1) Threshold, action potentials, and strength-duration relation can be reproduced by a membrane without a capacity, even for a very simplified model. (2) The delayed build up of the sodium conductance can mimic a membrane capacity. (3) A constant potential stimulus can be used to reveal the influence of the membrane capacity, eventually combined with a feed back mechanism which reduces the effect of the capacity. (4) The effect of the membrane capacity depends on the ratio between the membrane time constant and the time constant for the fast conductance changes.     

Mucosal epithelial cells and Langerhans cells are targets for infection by the immunosuppressive type D retrovirus simian AIDS retrovirus serotype 1

Simian acquired immune deficiency syndrome (SAIDS) caused by the type D retrovirus SRV-1 results in opportunistic infections and a spectrum of oral lesions similar to those seen in humans with AIDS. To better understand the pathogenesis of these oral lesions we have retrospectively examined the oral mucosa from ten rhesus monkeys that died with SAIDS and prospectively examined the oral mucosa of ten additional animals inoculated with SRV-1 to determine at what time, and in what cells SRV-1 infection of the oral mucosa occurs. Using single and double label immunohistologic techniques, and electron microscopy we detected SRV-1 in clusters of oral epithelial cells and rare Langerhans cells as early as 1 month postinoculation.     

Glycan modification of a thermostable recombinant (1-3,1-4)-β-glucanase secreted fromSaccharomyces cerevisiae is determined by strain and culture conditions

High level biosynthesis and secretion of the thermostable hybrid (1-3,1-4)--glucanase H(A16-M) has been achieved inSaccharomyces cerevisiae by means of the yeast vacuolar endoprotease B promoter (PRB1_p) and theBacillus macerans (1-3,1-4)--glucanase signal peptide. The N-glycans present on the yeast-secreted H(A16-M), denoted H(A16-M)-Y, were released by endoglycosidase H, and identified by proton NMR spectroscopy to be a homologous series of Man_8-13GlcNAc₂, although only traces of Man₉GlcNAc₂ were found. Therefore, processing of N-glycans on H(A16-M)-Y is similar to that on homologous proteins. Most of the N-glycans (88%) were neutral while the remainder were charged due to phosphorylation. Site-directed mutagenesis of Asn to Gln in two of the N-glycosylation sequons, and subsequent analysis of the N-glycans on the yeast-secreted proteins together with analysis of the N-glycans from the individual sites of H(A16-M)-Y suggest the presence of steric hindrance to glycan modification by the glycans themselves. H(A16-M)-Y produced under control of either the yeast protease B or the yeast 3-phosphoglycerate kinase promoter, each in two differentSaccharomyces strains revealed a dependence of N-glycan profile on both strain and culture conditions. The extent of O-glycosylation was found to be nine mannose units per H(A16-M)-Y molecule. An attempt to identify the linkage-sites for the O-glycans by amino acid sequencing failed, suggesting non-stoichiometric or heterogeneous O-glycosylation. The possible modes in which N-glycans might contribute to resistance of H(A16-M)-Y to irreversible thermal denaturation are discussed with respect to structural information available for H(A16-M)-Y. Abbreviations: AMY,B. amyloliquefaciens (1-3,1-4)--glucanse; MAC,B. macerans (1-3,1-4)--glucanase H(A16-M), H(A36-M), H(A78-M),H(A107-M) and H(A152-M), hybrid (1-3,1-4)--glucanases containing 16, 36, 78, 107 and 152 N-terminal amino acids, respectively, derived from AMY with the remaining amino acids derived from MAC; similar enzyme abbreviations followed by Y, e.g. H(A16-M)-Y, denote the enzymes secreted from yeast cells; PCR, polymerase chain reaction; PGK_p, yeast 3-phosphoglycerate kinase promoter; PRB1_p, yeast protease B promoter; LB, Luria-Bertani medium; SC, minimal medium; CNBr, cyanogen bromide; Endo H_f, endoglycosidase H fusion protein; PNGase F, peptide:N-glycosidase F; HPAEC; high pH anion exchange chromatography; HVE, high voltage paper electrophoresis; CPY, yeast carboxypeptidase Y.     

Measurement of cytokine antibodies. Test development

Several assays have been used for detection of antibodies against cytokines. The choice of assay is greatly dependent on the intended goal, e.g. detection of naturally occurring antibodies or therapy induced antibodies. The different assays can be grouped in 2 categories. The interference or indirect assays are based on the detection of the test sample interference with the biological activity, with detection of the cytokine in EIA or with binding to cellular receptors. In direct assays cytokine antibodies are detected by binding to solid phase fixed cytokines, followed by incubation with a secondary enzyme-labelled anti-human Ig antibody or by binding to¹²⁵I-labelled cytokines in RIA.     

Sonication: A new method for gene transfer to plants

Sonication is a novel method for gene transfer into plant protoplasts and intact plant cells. The mode of action of ultrasound and its chemical, biochemical and physiological effects are reviewed. The state of the art of acoustic transformation is presented and possible mechanisms are discussed.     

Abiotic formation of particles from extracellular organic carbon released by phytoplankton

¹⁴C-labeled extracellular organic carbon (EOC) released by the phytoplankton in a Danish Estuary was shown immediately to form particles (>0.2m) when the products were added to a natural water sample. About 14%–20% of the added activity could be recovered as particles. Any bacterial assimilation of the extracellular products was thus masked. The abiotic origin of the particulate EOC was verified, and it was shown that the particle formation was due to some factors present in the estuarine water with a nominal diameter >0.2m. Precaution must be taken to avoid misinterpretations in studies concerning carbon flow from algae to bacteria.     

Modelling the Human Immune System by Combining Bioinformatics and Systems Biology Approaches

Over the past decade a number of bioinformatics tools have been developed that use genomic sequences as input to predict to which parts of a microbe the immune system will react, the so-called epitopes. Many predicted epitopes have later been verified experimentally, demonstrating the usefulness of such predictions. At the same time, simulation models have been developed that describe the dynamics of different immune cell populations and their interactions with microbes. These models have been used to explain experimental findings where timing is of importance, such as the time between administration of a vaccine and infection with the microbe that the vaccine is intended to protect against. In this paper, we outline a framework for integration of these two approaches. As an example, we develop a model in which HIV dynamics are correlated with genomics data. For the first time, the fitness of wild type and mutated virus are assessed by means of a sequence-dependent scoring matrix, derived from a BLOSUM matrix, that links protein sequences to growth rates of the virus in the mathematical model. A combined bioinformatics and systems biology approach can lead to a better understanding of immune system-related diseases where both timing and genomic information are of importance.