Significant association of multiple human cytomegalovirus genomic Loci with glioblastoma multiforme samples

Viruses are appreciated as etiological agents of certain human tumors, but the number of different cancer types induced or exacerbated by viral infections is unknown. Glioblastoma multiforme (GBM)/astrocytoma grade IV is a malignant and lethal brain cancer of unknown origin. Over the past decade, several studies have searched for the presence of a prominent herpesvirus, human cytomegalovirus (HCMV), in GBM samples. While some have detected HCMV DNA, RNA, and proteins in GBM tissues, others have not. Therefore, any purported association of HCMV with GBM remains controversial. In most of the previous studies, only one or a select few viral targets were analyzed. Thus, it remains unclear the extent to which the entire viral genome was present when detected. Here we report the results of a survey of GBM specimens for as many as 20 different regions of the HCMV genome. Our findings indicate that multiple HCMV loci are statistically more likely to be found in GBM samples than in other brain tumors or epileptic brain specimens and that the viral genome was more often detected in frozen samples than in paraffin-embedded archival tissue samples. Finally, our experimental results indicate that cellular genomes substantially outnumber viral genomes in HCMV-positive GBM specimens, likely indicating that only a minority of the cells found in such samples harbor viral DNA. These data argue for the association of HCMV with GBM, defining the virus as oncoaccessory. Furthermore, they imply that, were HCMV to enhance the growth or survival of a tumor (i.e., if it is oncomodulatory), it would likely do so through mechanisms distinct from classic tumor viruses that express transforming viral oncoproteins in the overwhelming majority of tumor cells.     

Sequences in the intracellular loops of the yeast pheromone receptor Ste2p required for G protein activation

The alpha-factor receptor of the yeast Saccharomyces cerevisiae encoded by the STE2 gene is a member of the large family of G protein-coupled receptors (GPCRs) that mediate multiple signal transduction pathways. The third intracellular loop of GPCRs has been identified as a likely site of interaction with G proteins. To determine the extent of allowed substitutions within this loop, we subjected a stretch of 21 amino acids (Leu228-Leu248) to intensive random mutagenesis and screened multiply substituted alleles for receptor function. The 91 partially functional mutant alleles that were recovered contained 96 unique amino acid substitutions. Every position in this region can be replaced with at least two other types of amino acids without a significant effect on function. The tolerance for nonconservative substitutions indicates that activation of the G protein by ligand-bound receptors involves multiple intramolecular interactions that do not strongly depend on particular sequence elements. Many of the functional mutant alleles exhibit greater than normal levels of signaling, consistent with an inhibitory role for the third intracellular loop. Removal of increasing numbers of positively charged residues from the loop by site-directed mutagenesis causes a progressive loss of signaling function, indicating that the overall net charge of the loop is important for receptor function. Introduction of negatively charged residues also leads to a reduced level of signaling. The defects in signaling caused by substitution of charged amino acids are not caused by changes in the abundance of receptors at the cell surface.     

Stochastic properties of motoneuron activity and the effect of muscular length

The activity of single motor units contributing to small tonic isometric contractions in human muscle at different muscular lengths was analyzed. The form of motor unit firing patterns shows that the interspike intervals compose independent sequences with about a 10% coefficient of variation and have a gamma distribution. The variability and the distribution shape curves show that as the mean interval decreases the variance also decreases and the interval density function becomes more symmetric. More significant is the fact that the form of the firing pattern remains unchanged when a motor unit has the same mean interval but with the muscle at different lengths. Comparison of these facts with experimental data from neuron models and cat motoneurons indicates that in the human the only relevant input-output relationship in motoneurons is that the net excitation adjusts the firing rate.     

Noradrenergic deficits contribute to apathy in Parkinson’s disease through the precision of expected outcomes

Apathy is a debilitating feature of many neuropsychiatric diseases, that is typically described as a reduction of goal-directed behaviour. Despite its prevalence and prognostic importance, the mechanisms underlying apathy remain controversial. Degeneration of the locus coeruleus-noradrenaline system is known to contribute to motivational deficits, including apathy. In healthy people, noradrenaline has been implicated in signalling the uncertainty of expectations about the environment. We proposed that noradrenergic deficits contribute to apathy by modulating the relative weighting of prior beliefs about action outcomes. We tested this hypothesis in the clinical context of Parkinson’s disease, given its associations with apathy and noradrenergic dysfunction. Participants with mild-to-moderate Parkinson’s disease (N = 17) completed a randomised double-blind, placebo-controlled, crossover study with 40 mg of the noradrenaline reuptake inhibitor atomoxetine. Prior weighting was inferred from psychophysical analysis of performance in an effort-based visuomotor task, and was confirmed as negatively correlated with apathy. Locus coeruleus integrity was assessed in vivo using magnetisation transfer imaging at ultra-high field 7T. The effect of atomoxetine depended on locus coeruleus integrity: participants with a more degenerate locus coeruleus showed a greater increase in prior weighting on atomoxetine versus placebo. The results indicate a contribution of the noradrenergic system to apathy and potential benefit from noradrenergic treatment of people with Parkinson’s disease, subject to stratification according to locus coeruleus integrity. More broadly, these results reconcile emerging predictive processing accounts of the role of noradrenaline in goal-directed behaviour with the clinical symptom of apathy and its potential pharmacological treatment.     

GIPC interacts with the beta1-adrenergic receptor and regulates beta1-adrenergic receptor-mediated ERK activation

Beta1-adrenergic receptors, expressed at high levels in the human heart, have a carboxyl-terminal ESKV motif that can directly interact with PDZ domain-containing proteins. Using the beta1-adrenergic receptor carboxyl terminus as bait, we identified the novel beta1-adrenergic receptor-binding partner GIPC in a yeast two-hybrid screen of a human heart cDNA library. Here we demonstrate that the PDZ domain-containing protein, GIPC, co-immunoprecipitates with the beta1-adrenergic receptor in COS-7 cells. Essential for this interaction is the Ser residue of the beta1-adrenergic receptor carboxyl-terminal ESKV motif. Our data also demonstrate that beta1-adrenergic receptor stimulation activates the mitogen-activated protein kinase, ERK1/2. beta1-adrenergic receptor-mediated ERK1/2 activation was inhibited by pertussis toxin, implicating Gi, and was substantially decreased by the expression of GIPC. Expression of GIPC had no observable effect on beta1-adrenergic receptor sequestration or receptor-mediated cAMP accumulation. This GIPC effect was specific for the beta1-adrenergic receptor and was dependent on an intact PDZ binding motif. These data suggest that GIPC can regulate beta1-adrenergic receptor-stimulated, Gi-mediated, ERK activation while having no effect on receptor internalization or Gs-mediated cAMP signaling.     

Predicting Epileptic Seizures in Advance

Epilepsy is the second most common neurological disorder, affecting 0.6–0.8% of the world''s population. In this neurological disorder, abnormal activity of the brain causes seizures, the nature of which tend to be sudden. Antiepileptic Drugs (AEDs) are used as long-term therapeutic solutions that control the condition. Of those treated with AEDs, 35% become resistant to medication. The unpredictable nature of seizures poses risks for the individual with epilepsy. It is clearly desirable to find more effective ways of preventing seizures for such patients. The automatic detection of oncoming seizures, before their actual onset, can facilitate timely intervention and hence minimize these risks. In addition, advance prediction of seizures can enrich our understanding of the epileptic brain. In this study, drawing on the body of work behind automatic seizure detection and prediction from digitised Invasive Electroencephalography (EEG) data, a prediction algorithm, ASPPR (Advance Seizure Prediction via Pre-ictal Relabeling), is described. ASPPR facilitates the learning of predictive models targeted at recognizing patterns in EEG activity that are in a specific time window in advance of a seizure. It then exploits advanced machine learning coupled with the design and selection of appropriate features from EEG signals. Results, from evaluating ASPPR independently on 21 different patients, suggest that seizures for many patients can be predicted up to 20 minutes in advance of their onset. Compared to benchmark performance represented by a mean S1-Score (harmonic mean of Sensitivity and Specificity) of 90.6% for predicting seizure onset between 0 and 5 minutes in advance, ASPPR achieves mean S1-Scores of: 96.30% for prediction between 1 and 6 minutes in advance, 96.13% for prediction between 8 and 13 minutes in advance, 94.5% for prediction between 14 and 19 minutes in advance, and 94.2% for prediction between 20 and 25 minutes in advance.     

Consequences of disrupting the gene that encodes α-glucosidase II in the N-linked oligosaccharide biosynthesis pathway of Dictyostelium discoideum

We have identified and disrupted the gene coding for α-glucosidase II in Dictyostelium discoideum. This enzyme is responsible for removing two α1,3-linked glucose residues from N-linked oligosaccharides on newly synthesized glycoproteins. Mutagenesis by restriction enzyme-mediated integration (REMI) generated a clone, DG1033, which grows well but forms abnormal fruiting bodies with short, thick stalks. The strain lacks α-glucosidase II activity and makes incompletely processed N-linked oligosaccharides that are abnormally large and have fewer sulfate and phosphate esters. The morphological, enzymatic, and oligosaccharide profile phenotypes of the disruption mutant are all recapitulated by a targeted disruption of the normal gene. Furthermore, all of these defects are corrected in cells transformed with a normal, full-length copy of the gene. The phenotypic characteristics of DG1033 as well as chromosomal mapping of the disrupted gene indicate that it is the site of the previously characterized modA mutation. The Dictyostelium gene is highly homologous to α-glucosidase II genes in the human and the pig, C. elegans, and yeast. Although various cell lines have been reported to be defective in α-glucosidase II activity, disruption of the Dictyostelium gene gives the first example of a clear developmental phenotype associated with loss of this enzyme. Dev. Genet. 21:177–186, 1997. © 1997 Wiley-Liss, Inc.