Interaction between N-dodecyl-N,N-dimethyl-N-benzylammonium halides and phosphatidylcholine bilayers-the effect of counterions

The interaction of N-dodecyl-N,N-dimethyl-N-benzylammonium halides (DBeAX) with two types of phospholipid vesicles (MLV and SUV) was investigated using DSC and 1H NMR. It was suggested that the benzyl group like the micellisation process (J. Colloid Interface Sci. 218 (1999) 529) changes its position when interacting with phosphatidylcholine bilayers and incorporates into the bilayer. In order to enhance counterion-water interactions, the surfactants were added either to the water phase or directly to the lipid phase (a mixed film was formed). It follows from the obtained results that for both types of liposomes and both manners in which the surfactant was added, the interaction of DBeAX with liposomes and consequent changes in the phospholipid bilayer organisation depend on the kind of counterion. Results are discussed in terms of counterion ability to modify water structure.     

A comparison of methods for predicting vegetation type

Predictive modeling of vegetation patterns has wide application in vegetation science. In this paper I discuss three methods of predictive modeling using data from the alpine treeline ecotone as a case study. The study area is a portion of Glacier National Park, Montana. Parametric general linear models (GLM), artificial neural networks (ANN) and classification tree (CT) methods of predicting vegetation type are compared to determine the relative strength of each predictive approach and how they may be used in concert to increase understanding of important vegetation – environment relations. For each predictive method, vegetation type within the alpine treeline ecotone is predicted using a suite of environmental indicator variables including elevation, moisture potential, solar radiation potential, snow potential index, and disturbance history. Results from each of the predictive methods are compared against the real vegetation types to determine the relative accuracy of the methods.When the entire data field is examined (i.e., not evaluated by smaller spatial aggregates of data) the ANN procedure produces the most accurate predictions (=0.571); the CT predictions are the least accurate (=0.351). The predicted patterns of vegetation on the landscape are considerably different using the three methods. The GLM and CT methods produce large contiguous swaths of vegetation types throughout the study area, whereas the ANN method produces patterns with much more heterogeneity and smaller patches.When predictions are compared to reality at catchment scale, it becomes evident that the accuracy of each method varies depending upon the specific situation. The ANN procedure remains the most accurate method in the majority of the catchments, but both the GLM and PCT produce the most accurate classifications in at least one basin each.The variability in predictive ability of the three methods tested here indicates that there may not be a single best predictive method. Rather it may be important to use a suite of predictive models to help understand the environment – vegetation relationships. The ability to use multiple predictive methods to determine which spatial subunits of a landscape are outliers is important when identifying locations useful for climate change monitoring studies.     

Automated identification of Fos expression

The concentration of Fos, a protein encoded by the immediate-early gene c-fos, provides a measure of synaptic activity that may not parallel the electrical activity of neurons. Such a measure is important for the difficult problem of identifying dynamic properties of neuronal circuitries activated by a variety of stimuli and behaviours. We employ two-stage statistical pattern recognition to identify cellular nuclei that express Fos in two-dimensional sections of rat forebrain after administration of antipsychotic drugs. In stage one, we distinguish dark-stained candidate nuclei from image background by a thresholding algorithm and record size and shape measurements of these objects. In stage two, we compare performance of linear and quadratic discriminants, nearest-neighbour and artificial neural network classifiers that employ functions of these measurements to label candidate objects as either Fos nuclei, two touching Fos nuclei or irrelevant background material. New images of neighbouring brain tissue serve as test sets to assess generalizability of the best derived classification rule, as determined by lowest cross-validation misclassification rate. Three experts, two internal and one external, compare manual and automated results for accuracy assessment. Analyses of a subset of images on two separate occasions provide quantitative measures of inter- and intra-expert consistency. We conclude that our automated procedure yields results that compare favourably with those of the experts and thus has potential to remove much of the tedium, subjectivity and irreproducibility of current Fos identification methods in digital microscopy.     

Viability and acrosome integrity of rabbit spermatozoa processed in a gelatin-supplemented extender

The effect of gelatin addition to the semen extender on the viability and acrosome integrity of rabbit spermatozoa was studied. Pooled semen samples were processed in a boar semen extender with or without gelatin addition. Semen samples were stored at 5 °C for 72 h. Viability and acrosome integrity was evaluated by light microscope. Results showed that gelatin addition had a significant positive effect on the quality of the stored semen.     

Joint determination by Brownian dynamics and fluorescence quenching of the in-depth location profile of biomolecules in membranes

The in-depth molar distribution function of fluorophores is revealed by a new methodology for fluorescence quenching data analysis in membranes. Brownian dynamics simulation was used to study the in-depth location profile of quenchers. A Lorentzian profile was reached. Since the Stern-Volmer equation is valid at every depth in the membrane for low quencher concentrations, the molar distribution of the fluorophore (also regarded as a Lorentzian) can be achieved. The average location and the broadness of the fluorophore distribution can be calculated. The importance of the knowledge of the location width is demonstrated and discussed, since this parameter reveals important conclusions on structural features of the interaction of membranes with probes and biomolecules (e.g., conformational freedom in proteins), as well as photophysical properties (e.g., differential fluorophore quantum yields). Subsequent use of this methodology by the reader does not, necessarily, involve the performance of simulations and is not limited to the use of Lorentzian function distributions.     

Rolling properties of rGPIbalpha-conjugated phospholipid vesicles with different membrane flexibilities on vWf surface under flow conditions

The recombinant fragment of the platelet membrane glycoprotein, rGPIbalpha, was conjugated to phospholipid vesicles with the average diameter of ca. 1 microm using N-succinimidyl 3-(2-pyridyldithio) propionate (SPDP). We used five kinds of rGPIbalpha-vesicles with different fluorescent anisotropies of 1,6-diphenyl-1,3,5-hexatriene (DPH) to study the rolling properties of the vesicles on the von Willebrand factor (vWf)-immobilized surface. Under flow conditions, the rolling velocity of the rGPIbalpha-vesicles decreased with the increasing membrane flexibility. It is considered that the vesicles with a high membrane flexibility have a high deformability and can be flattened to a high degree during rolling on the vWf surface, thus resulting in the large contact area. We obtained a recipe to control the rolling velocity of artificial platelets by membrane flexibility.     

Regulation of the type III InsP(3) receptor by InsP(3) and calcium

It has been proposed that the inositol 1,4,5-trisphosphate receptor (InsP(3)R) type III acts as a trigger for InsP(3)-mediated calcium (Ca(2+)) signaling, because this InsP(3) isoform lacks feedback inhibition by cytosolic Ca(2+). We tested this hypothesis in RIN-m5F cells, which express predominantly the type III receptor. Extracellular ATP increases Ca(2+) in these cells, and we found that this effect is independent of extracellular Ca(2+) but is blocked by the InsP(3)R antagonist heparin. There was a dose-dependent increase in the number of cells responding to ATP and two-photon flash photolysis of caged-Ca(2+) heightened the sensitivity of RIN-m5F cells to this increase. These findings provide evidence that Ca(2+) increases the sensitivity of the InsP(3)R type III in intact cells and supports the idea that this isoform can act as a trigger for hormone-induced Ca(2+) signaling.     

Mapping candidate hotspots of meiotic recombination in segments of human DNA cloned in the yeast<Emphasis Type="Italic"> Saccharomyces cerevisiae</Emphasis>

The hotspots of meiotic recombination in the human genome can be localized by genetic techniques. The resolution of these techniques is in the range of kilobases and depends on the density of the physical markers identifying allelic variants of the chromosomal loci. We thought it would be interesting to localize these sites with higher resolution. Assuming that some human chromosomal sites conserve their propensity for recombination when cloned in yeast, we localized the hotspots of recombination in several yeast artificial chromosomes (YACs) carrying human DNA. A number of potential recombination hotspots could be identified in the clones studied. Among them there are two classes of sites that are particularly recombination prone also in human meiotic cells: sites associated with CpG islands and sites located in the vicinity of long minisatellite sequences.Communicated by G. P. Georgiev