Hierarchic Stochastic Modelling Applied to Intracellular Ca2+ Signals

Important biological processes like cell signalling and gene expression have noisy components and are very complex at the same time. Mathematical analysis of such systems has often been limited to the study of isolated subsystems, or approximations are used that are difficult to justify. Here we extend a recently published method (Thurley and Falcke, PNAS 2011) which is formulated in observable system configurations instead of molecular transitions. This reduces the number of system states by several orders of magnitude and avoids fitting of kinetic parameters. The method is applied to signalling. is a ubiquitous second messenger transmitting information by stochastic sequences of concentration spikes, which arise by coupling of subcellular release events (puffs). We derive analytical expressions for a mechanistic model, based on recent data from live cell imaging, and calculate spike statistics in dependence on cellular parameters like stimulus strength or number of channels. The new approach substantiates a generic model, which is a very convenient way to simulate spike sequences with correct spiking statistics.     

Sequence and relatedness in other bacteria of the Pseudomonas aeruginosa oprP gene coding for the phosphate-specific porin P

The oprP gene encoding the Pseudomonas aeruginosa phosphate-specific outer membrane porin protein OprP was sequenced. Comparison of the derived amino acid sequence with the known sequences of other bacterial porins demonstrated that OprP could be no better aligned to these porin sequences than it could to the periplasmic phosphate-binding protein PhoS of Escherichia coli. Southern hybridization and restriction mapping of the oprP gene in 37 clinical isolates and the 17 serotype strains of P. aeruginosa revealed that restriction sites in the vicinity of the oprP gene were highly conserved. Several species from the Pseudomonas fluorescens rRNA homology group contained DNA that hybridized to an oprP gene probe.     

Unraveling the Genetic Etiology of Adult Antisocial Behavior: A Genome-Wide Association Study

Crime poses a major burden for society. The heterogeneous nature of criminal behavior makes it difficult to unravel its causes. Relatively little research has been conducted on the genetic influences of criminal behavior. The few twin and adoption studies that have been undertaken suggest that about half of the variance in antisocial behavior can be explained by genetic factors. In order to identify the specific common genetic variants underlying this behavior, we conduct the first genome-wide association study (GWAS) on adult antisocial behavior. Our sample comprised a community sample of 4816 individuals who had completed a self-report questionnaire. No genetic polymorphisms reached genome-wide significance for association with adult antisocial behavior. In addition, none of the traditional candidate genes can be confirmed in our study. While not genome-wide significant, the gene with the strongest association (p-value = 8.7×10⁻⁵) was DYRK1A, a gene previously related to abnormal brain development and mental retardation. Future studies should use larger, more homogeneous samples to disentangle the etiology of antisocial behavior. Biosocial criminological research allows a more empirically grounded understanding of criminal behavior, which could ultimately inform and improve current treatment strategies.     

Defective ion regulation in a class of membrane-excitation mutants in Paramecium

The “paranoiac” mutants of Paramecium aurelia show prolonged backward swimming in solutions containing Na⁺, unlike wild-type paramecia, which jerk back and forth in Na⁺ solutions. The paranoiac mutants in Na⁺ solutions also show large losses of cellular K⁺ and large influxes of Na⁺. Three different paranoiac mutants all show similar defects in ion regulation but to different degrees. Wild-type Paramecium, in contrast, shows no Na⁺-dependent loss of cellular K⁺ and a much smaller Na⁺ influx. In K⁺-containing solutions, there is no difference between wild-type and paranoiac paramecia with respect to their cellular K⁺ content.The Na⁺ influx, the K⁺ loss, and the duration of backward swimming are all proportional to the extracellular Na⁺ concentration. Electrophysiologically, the backward swimming of the paranoiac mutants corresponds to a prolonged depolarization of the membrane potential, while the backward jerks of wild-type Paramecium correspond to a series of transient depolarizations. We propose that the large Na⁺ influxes and the large K⁺ effluxes in paranoiacs occur during the periods of backward swimming, while the membrane is depolarized.     

The miR-30 MicroRNA Family Targets smoothened to Regulate Hedgehog Signalling in Zebrafish Early Muscle Development

The importance of microRNAs in development is now widely accepted. However, identifying the specific targets of individual microRNAs and understanding their biological significance remains a major challenge. We have used the zebrafish model system to evaluate the expression and function of microRNAs potentially involved in muscle development and study their interaction with predicted target genes. We altered expression of the miR-30 microRNA family and generated phenotypes that mimicked misregulation of the Hedgehog pathway. Inhibition of the miR-30 family increases activity of the pathway, resulting in elevated ptc1 expression and increased numbers of superficial slow-muscle fibres. We show that the transmembrane receptor smoothened is a target of this microRNA family. Our results indicate that fine coordination of smoothened activity by the miR-30 family allows the correct specification and differentiation of distinct muscle cell types during zebrafish embryonic development.