Purified EGF receptor-kinase interacts specifically with antibodies to Rous sarcoma virus transforming protein

Transformation by several RNA tumour viruses seems to be mediated by virally coded protein kinases which specifically phosphorylate tyrosine. A tyrosine-specific protein kinase also seems to be involved in the mitogenic action of epidermal growth factor (EGF). This EGF-stimulated kinase activity is closely associated with the EGF receptor, with which it copurifies during EGF-affinity chromatography. Because both the virus- and EGF-stimulated tyrosine kinases may be involved in stimulation of cell growth, and because the viral kinases may be antigenically related to normal cell proteins, we examined the interaction of antibodies to viral tyrosine kinases with the affinity-purified EGF receptor-kinase preparation. We report here that the receptor-kinase specifically phosphorylates antibodies directed against the transforming protein kinase pp60src of Rous sarcoma virus. However, none of these antibodies, including those which cross-react with the normal cellular homologue of pp60src (pp60sarc), precipitate the receptor-kinase. These results suggest that the EGF receptor-kinase is related to, but probably not identical with, pp60sarc.     

Neuron-type-specific signals for reward and punishment in the ventral tegmental area

Dopamine has a central role in motivation and reward. Dopaminergic neurons in the ventral tegmental area (VTA) signal the discrepancy between expected and actual rewards (that is, reward prediction error), but how they compute such signals is unknown. We recorded the activity of VTA neurons while mice associated different odour cues with appetitive and aversive outcomes. We found three types of neuron based on responses to odours and outcomes: approximately half of the neurons (type I, 52%) showed phasic excitation after reward-predicting odours and rewards in a manner consistent with reward prediction error coding; the other half of neurons showed persistent activity during the delay between odour and outcome that was modulated positively (type II, 31%) or negatively (type III, 18%) by the value of outcomes. Whereas the activity of type I neurons was sensitive to actual outcomes (that is, when the reward was delivered as expected compared to when it was unexpectedly omitted), the activity of type II and type III neurons was determined predominantly by reward-predicting odours. We 'tagged' dopaminergic and GABAergic neurons with the light-sensitive protein channelrhodopsin-2 and identified them based on their responses to optical stimulation while recording. All identified dopaminergic neurons were of type I and all GABAergic neurons were of type II. These results show that VTA GABAergic neurons signal expected reward, a key variable for dopaminergic neurons to calculate reward prediction error.     

Characterization of a carbohydrate transporter from symbiotic glomeromycotan fungi

The symbiotic relationships between mycorrhizal fungi and plants have an enormous impact on terrestrial ecosystems. Most common are the arbuscular mycorrhizas, formed by fungi belonging to the phylum Glomeromycota. Arbuscular mycorrhizal fungi facilitate the uptake of soil nutrients by plants and in exchange obtain carbohydrates, thus representing a large sink for atmospheric plant-fixed CO(2). However, how carbohydrates are transported through the symbiotic interface is still unknown. Here we report the characterization of the first known glomeromycotan monosaccharide transporter, GpMST1, by exploiting the unique symbiosis of a glomeromycotan fungus (Geosiphon pyriformis) with cyanobacteria. The GpMST1 gene has a very low GC content and contains six introns with unusual boundaries. GpMST1 possesses twelve predicted transmembrane domains and functions as a proton co-transporter with highest affinity for glucose, then mannose, galactose and fructose. It belongs to an as yet uncharacterized phylogenetic monosaccharide transporter clade. This initial characterization of a new transporter family involved in fungal symbiosis will lead to a better understanding of carbon flows in terrestrial environments.