Glial cell line-derived neurotrophic factor (GDNF) receptor alpha-1 (GFR alpha 1) is highly selective for GDNF versus artemin

To clarify whether glial cell line-derived neurotrophic factor (GDNF) receptor alpha-1 (GFRalpha1), the glycosylphosphatidylinositol (GPI)-linked coreceptor for GDNF, is also a functional coreceptor for artemin (ART), we have studied receptor binding, signaling, and neuronal survival. In cell-free binding studies, GFRalpha1-Ig displayed strong preferential binding to GDNF, though in the presence of soluble RET, weak binding to ART could also be detected. However, using GFRalpha1-transfected NB41A3 cells, ART showed no detectable competition against the binding of (125)I-labeled GDNF. Moreover, ART failed to induce phosphorylation of extracellular signal-related kinase (ERK) and Akt in these cells and was >10(4)-fold less potent than GDNF in stimulating RET phosphorylation. When rat primary dorsal root ganglion (DRG) neurons were used, only the survival promoting activity of GDNF and not that of ART was blocked by an anti-GFRalpha1 antibody. These results indicate that although ART can interact weakly with soluble GFRalpha1 constructs under certain circumstances in vitro, in cell-based functional assays GFRalpha1 is at least 10 000-fold selective for GDNF over ART. The extremely high selectivity of GFRalpha1 for GDNF over ART and the low reactivity of ART for this receptor suggest that GFRalpha1 is not likely to be a functional coreceptor for ART in vivo.     

Mutation-induced quisqualic acid and ibotenic acid affinity at the metabotropic glutamate receptor subtype 4: ligand selectivity results from a synergy of several amino acid residues

The metabotropic glutamate receptors (mGluRs) are key modulators of excitatory neurotransmission in the central nervous system. The eight mGluR subtypes are seven trans-membrane-spanning proteins that possess a large extracellular amino-terminal domain in which the endogenous ligand binding pocket resides. In this study, we have identified four non-conserved amino acid residues that are essential for differentiating mGluR1 from mGluR4. Our approach has been to increase the affinity of the classic mGluR1 agonists, quisqualic acid and ibotenic acid, at mGluR4 by making various point mutations that mimicked mGluR1 residues. Based on ligand docking to homology models, the non-conserved residues, Lys-74, Glu-287, Ser-313, and Lys-317, were chosen for the mutational studies and all of the mutations proved capable of partially or completely restoring the affinities of the ligands. In particular, the mutations K74Y and K317R induced dramatic triple-order-of-magnitude increases in the affinity of ibotenic acid at mGluR4, making the affinity equivalent to that of mGluR1. Furthermore, the affinity of quisqualic acid at mGluR4 was increased to the same level as mGluR1 by the two double mutations, K74Y/K317R and K74Y/E287G. Advanced analysis of ligand conformation and docking procedures were used for the interpretation of these results. The study shows that mGluR subtype selectivity results from a complex interplay of residues shaping the binding pocket, rather than being attributable to a single specific ligand-receptor interaction.     

Resistance to penicillin of Staphylococcus aureus isolates from cows with high somatic cell counts in organic and conventional dairy herds in Denmark

Background  

Quarter milk samples from cows with high risk of intramammary infection were examined to determine the prevalence of Staphylococcus aureus (SA) and penicillin resistant SA (SAr) in conventional and organic dairy herds and herds converting to organic farming in a combined longitudinal and cross-sectional study.     

GeneTools – application for functional annotation and statistical hypothesis testing

Background  

Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement of thousands of genes. This has created a need for tools facilitating interpretation of biological data in "batch" mode. However, such tools often leave the investigator with large volumes of apparently unorganized information. To meet this interpretation challenge, gene-set, or cluster testing has become a popular analytical tool. Many gene-set testing methods and software packages are now available, most of which use a variety of statistical tests to assess the genes in a set for biological information. However, the field is still evolving, and there is a great need for "integrated" solutions.     

Blood pressure and blood flow variation during postural change from sitting to standing: model development and validation.

Short-term cardiovascular responses to postural change from sitting to standing involve complex interactions between the autonomic nervous system, which regulates blood pressure, and cerebral autoregulation, which maintains cerebral perfusion. We present a mathematical model that can predict dynamic changes in beat-to-beat arterial blood pressure and middle cerebral artery blood flow velocity during postural change from sitting to standing. Our cardiovascular model utilizes 11 compartments to describe blood pressure, blood flow, compliance, and resistance in the heart and systemic circulation. To include dynamics due to the pulsatile nature of blood pressure and blood flow, resistances in the large systemic arteries are modeled using nonlinear functions of pressure. A physiologically based submodel is used to describe effects of gravity on venous blood pooling during postural change. Two types of control mechanisms are included: 1) autonomic regulation mediated by sympathetic and parasympathetic responses, which affect heart rate, cardiac contractility, resistance, and compliance, and 2) autoregulation mediated by responses to local changes in myogenic tone, metabolic demand, and CO(2) concentration, which affect cerebrovascular resistance. Finally, we formulate an inverse least-squares problem to estimate parameters and demonstrate that our mathematical model is in agreement with physiological data from a young subject during postural change from sitting to standing.