Über das Riechvermögen und den bau des Geruchs-Organs von Triton Vulgaris vor und Nach der Metamorphose

Ohne ZusammenfassungDie Arbeit wurde von der Philos. Fakultät Greifswald als Dissertation angenommen.     

Effects of low-chloride solutions on action potentials of sheep cadiac purkinje fibers

The rapid repolarization during phase 1 of the action potential of sheep cardiac purkinje fibers has been attributed to a time- and voltage-dependent chloride current. In part, this conclusion was based on experiments that showed a substantial slowing of phase 1 when larger, presumably impermeant, anions were substituted for chloride in tyrode’s solution. We have re- examined the electrical effects of low-chloride solutions. We recorded action potentials of sheep cardiac purkinje fibers in normal tyrode’s solution and in low-chloride solutions made by substituting sodium propionate, acetylglycinate, methylsulfate, or methanesulfonate for the NaCl of Tyrode’s solution. Total calcium was adjusted to keep calcium ion activity of test solutions equal to that of control solutions. Propionate gave qualitatively variable results in preliminary experiments; it was not tested further. Low-chloride solutions made with the other anions gave much more consistent results: phase 1 and the notch that often occurs between phases 1 and 2 were usually unaffected, and the action potential duration usually increased. The only apparent change in the resting potential was a transient 3-6 mV depolarization when low-chloride solution was first admitted to the chamber, and a symmetrical transient hyperpolarization when chloride was returned to normal. If a time- and voltage-dependent chloride current exists in sheep cardiac purkinje fibers, our results suggest that it plays little role in generating phase 1 of the action potential.     

CASPAR: a hierarchical bayesian approach to predict survival times in cancer from gene expression data

MOTIVATION: DNA microarrays allow the simultaneous measurement of thousands of gene expression levels in any given patient sample. Gene expression data have been shown to correlate with survival in several cancers, however, analysis of the data is difficult, since typically at most a few hundred patients are available, resulting in severely underdetermined regression or classification models. Several approaches exist to classify patients in different risk classes, however, relatively little has been done with respect to the prediction of actual survival times. We introduce CASPAR, a novel method to predict true survival times for the individual patient based on microarray measurements. CASPAR is based on a multivariate Cox regression model that is embedded in a Bayesian framework. A hierarchical prior distribution on the regression parameters is specifically designed to deal with high dimensionality (large number of genes) and low sample size settings, that are typical for microarray measurements. This enables CASPAR to automatically select small, most informative subsets of genes for prediction. RESULTS: Validity of the method is demonstrated on two publicly available datasets on diffuse large B-cell lymphoma (DLBCL) and on adenocarcinoma of the lung. The method successfully identifies long and short survivors, with high sensitivity and specificity. We compare our method with two alternative methods from the literature, demonstrating superior results of our approach. In addition, we show that CASPAR can further refine predictions made using clinical scoring systems such as the International Prognostic Index (IPI) for DLBCL and clinical staging for lung cancer, thus providing an additional tool for the clinician. An analysis of the genes identified confirms previously published results, and furthermore, new candidate genes correlated with survival are identified.     

T-DNA tagging in the model legume Medicago truncatula allows efficient gene discovery

The annual legume Medicago truncatula has been proposed as a model plant to study various aspects of legume biology including rhizobial and mycorrhizal symbiosis because it is well suited for the genetic analysis of these processes . To facilitate the characterization of M. truncatula genes participating in various developmental processes we have initiated an insertion mutagenesis program in this plant using three different T-DNAs as tags. To investigate which type of vector is the most suitable for mutagenesis we compared the behavior of these T-DNAs. One T-DNA vector was a derivative of pBin19 and plant selection was based on kanamycin resistance. The two other vectors carried T-DNA conferring Basta resistance in the transgenic plants. For each T-DNA type, we determined the copy number in the transgenic lines, the structure of the T-DNA loci and the sequences of the integration sites. The T-DNA derived from pBin19 generated complex T-DNA insertion patterns. The two others generally gave single copy T-DNA inserts that could result in gene fusions for the pGKB5 T-DNA. Analysis of the T-DNA borders revealed that several M. truncatula genes were tagged in these transgenic lines and in vivo gus fusions were also obtained. These results demonstrate that T-DNA tagging can efficiently be used in M. truncatula for gene discovery.     

TRANSIT TIMES THROUGH THE CYCLE PHASES OF JEJUNAL CRYPT CELLS OF THE MOUSE ANALYSIS IN TERMS OF THE MEAN VALUES AND THE VARIANCES

Mean transit times as well as variances of the transit times through the individual phases of the cell cycle have been determined for the crypt epithelial cells of the jejunum of the mouse. To achieve this the fraction of labelled mitoses (FLM) technique has been modified by double labelling with [³H] and [¹⁴C]thymidine. Mice were given a first injection of [³H]thymidine, and 2 hr later a second injection of [¹⁴C]thymidine. This produces a narrow subpopulation of purely ³H-labelled cells at the beginning of G₂-phase and a corresponding subpopulation of purely ¹⁴C-labelled cells at the beginning of the S-phase. When these two subpopulations progress through the cell cycle, one obtains FLM waves of purely ³H- and purely ¹⁴C-labelled mitoses. These waves have considerably better resolution than the conventional FLM-curves. From the temporal positions of the observed maxima the mean transit times of the cells through the individual phases of the cycle can be determined. Moreover one obtains from the width of the individual waves the variances of the transit times through the individual phases. It has been found, that the variances of the transit times through successive phases are additive. This indicates that the transit times of cells through successive phases are independently distributed. This statistical independence is an implicit assumption in most of the models applied to the analysis of FLM curves, however there had previously been no experimental support of this assumption. A further result is, that the variance of the transit time through any phase of the cycle is proportional to the mean transit time. This implies that the progress of the crypt epithelial cells is subject to an equal degree of randomness in the various phases of the cycle.