Bradykinin inhibits M current via phospholipase C and Ca2+ release from IP3-sensitive Ca2+ stores in rat sympathetic neurons

A variety of intracellular signaling pathways can modulate the properties of voltage-gated ion channels. Some of them are well characterized. However, the diffusible second messenger mediating suppression of M current via G protein-coupled receptors has not been identified. In superior cervical ganglion neurons, we find that the signaling pathways underlying M current inhibition by B2 bradykinin and M1 muscarinic receptors respond very differently to inhibitors. The bradykinin pathway was suppressed by the phospholipase C inhibitor U-73122, by blocking the IP3 receptor with pentosan polysulfate or heparin, and by buffering intracellular calcium, and it was occluded by allowing IP3 to diffuse into the cytoplasm via a patch pipette. By contrast, the muscarinic pathway was not disrupted by any of these treatments. The addition of bradykinin was accompanied by a [Ca2+]i rise with a similar onset and time to peak as the inhibition of M current. The M current inhibition and the rise of [Ca2+]i were blocked by depletion of Ca2+ internal stores by thapsigargin. We conclude that bradykinin receptors inhibit M current of sympathetic neurons by activating phospholipase C and releasing Ca2+ from IP3-sensitive Ca2+ stores, whereas muscarinic receptors do not use the phospholipase C pathway to inhibit M current channels.     

Differentiation of Listeria monocytogenes and Listeria innocua by 16S rRNA genes and intraspecies discrimination of Listeria monocytogenes strains by random amplified polymorphic DNA polymorphisms

Differences in the 16S rRNA genes (16S rDNA) which can be used to discriminate Listeria monocytogenes from Listeria innocua have been detected. The 16S rDNA were amplified by polymerase chain reaction with a set of oligonucleotide primers which flank a 1.5-kb fragment. Sequence differences were observed in the V2 region of the 16S rDNA both between L. monocytogenes Scott A and L. innocua and between different L. monocytogenes serotypes. Although L. monocytogenes SLCC2371 had the same V2 region sequence as L. innocua, the two species were different within the V9 region at nucleotides 1259 and 1292, in agreement with previous studies (R.-F. Wang, W.-W. Cao, and M.G. Johnson, Appl. Environ. Microbiol. 57:3666-3670, 1991). Intraspecies discrimination of L. monocytogenes strains was achieved by using the patterns generated by random amplified polymorphic DNA primers. Although some distinction can be made within the L. monocytogenes species by their 16S rDNA sequence, a far greater discrimination within species could be made by generating random amplified polymorphic DNA patterns from chromosomal DNA. By using a number of 10-bp primers, unique patterns for each isolate which in all cases examined differentiate between various L. monocytogenes serotypes, even though they may have the same 16S rRNA sequences, could be generated.     

Speed of Ca2+ channel modulation by neurotransmitters in rat sympathetic neurons

We have measured the onset and recovery speed of inhibition of N-type Ca2+ channels in adult rat superior cervical ganglion neurons by somatostatin (SS), norepinephrine (NE), and oxotremorine-M (oxo-M, a muscarinic agonist), using the whole cell configuration of the patch-clamp method with 5 mM external Ca2+. With a local perfusion pipette system that changed the solution surrounding the cell within 50 ms, we applied agonists at various times before a brief depolarization from -80 mV that elicited I(Ca). At concentrations that produced maximal inhibition, the onset time constants for membrane-delimited inhibition by SS (0.5 microM), NE (10 microM), and oxo-M (20 microM) were 2.1, 0.7, and 1.0 s, respectively. The time constants for NE inhibition depended only weakly on the concentration, ranging from 1.2 to 0.4 s in the concentration range from 0.5 to 100 microM. Inhibition by oxo-M (20 microM) through a different G-protein pathway that uses a diffusible cytoplasmic messenger had a time constant near 9 s. The recovery rate constant from membrane-delimited inhibition was between 0.09 and 0.18 s(-1), significantly higher than the intrinsic GTPase rate of purified G protein Go, suggesting that Ca2+ channels or other proteins in the plasma membrane act as GTPase activating proteins. We also measured the rate of channel reinhibition after relief by strong depolarizing prepulses, which should reflect the kinetics of final steps in the inhibition process. In the presence of different concentrations of NE, reinhibition was four to seven times faster than the onset of inhibition, indicating that the slowest step of inhibition must precede the binding of G protein to the channel. We propose a kinetic model for the membrane-delimited NE inhibition of Ca2+ channels. It postulates two populations of receptors with different affinities for NE, a single population of G proteins, and a single population of Ca2+ channels. This model closely simulated the time courses of onset and recovery of inhibition and reinhibition, as well as the dose-response curve for inhibition of Ca2+ channels by NE.     

Some methodological considerations for the behavioral genetic analysis of work attitudes.

In a recent article, R. D. Arvey et al (see record 1989-25020-001) argued that about 30% of the variance in job satisfaction was accounted for by workers' genetic make-ups. To demonstrate this, they examined a group of monozygotic twins who had been reared apart. Although this method has been used widely in behavioral genetic research, it contains many hidden threats to validity, which could render suspect numerical estimates of either environmental or genetic effects. We examine some of the threats associated with this type of twin research, emphasizing the problems involved in quantifying the heritability of job satisfaction. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Monitoring of particle swarm optimization

In this paper, several diversity measurements will be discussed and defined. As in other evolutionary algorithms, first the population position diversity will be discussed followed by the discussion and definition of population velocity diversity which is different from that in other evolutionary algorithms since only PSO has the velocity parameter. Furthermore, a diversity measurement called cognitive diversity is discussed and defined, which can reveal clustering information about where the current population of particles intends to move towards. The diversity of the current population of particles and the cognitive diversity together tell what the convergence/divergence stage the current population of particles is at and which stage it moves towards.     

Optimization-based locomotion planning,estimation, and control design for the atlas humanoid robot

This paper describes a collection of optimization algorithms for achieving dynamic planning, control, and state estimation for a bipedal robot designed to operate reliably in complex environments. To make challenging locomotion tasks tractable, we describe several novel applications of convex, mixed-integer, and sparse nonlinear optimization to problems ranging from footstep placement to whole-body planning and control. We also present a state estimator formulation that, when combined with our walking controller, permits highly precise execution of extended walking plans over non-flat terrain. We describe our complete system integration and experiments carried out on Atlas, a full-size hydraulic humanoid robot built by Boston Dynamics, Inc.     

Efficient Computation of the Euclidean Distance Transform

We present a simple algorithm for the Euclidean distance transform of a binary image that runs more efficiently than other algorithms in the literature. We show that our algorithm runs in optimal time for many architectures and has optimal cost for the RAM and EREW PRAM.     

Robust static resource allocation of DAGs in a heterogeneous multicore system

In this study, we consider an environment composed of a heterogeneous cluster of multicore-based machines used to analyze satellite data. The workload involves large data sets and is subject to a deadline constraint. Multiple applications, each represented by a directed acyclic graph (DAG), are allocated to a dedicated heterogeneous distributed computing system. Each vertex in the DAG represents a task that needs to be executed and task execution times vary substantially across machines. The goal of this research is to assign the tasks in applications to a heterogeneous multicore-based parallel system in such a way that all applications complete before a common deadline, and their completion times are robust against uncertainties in execution times. We define a measure that quantifies robustness in this environment. We design, compare, and evaluate five static resource allocation heuristics that attempt to maximize robustness. We consider six different scenarios with different ratios of computation versus communication, and loose and tight deadlines.