G protein-coupled receptors (GPCRs) oligomerization has emerged as a vital characteristic of receptor structure. Substantial experimental evidence supports the existence of GPCR-GPCR interactions in a coordinated and cooperative manner. However, despite the current development of experimental techniques for large-scale detection of GPCR heteromers, in order to understand their connectivity it is necessary to develop novel tools to study the global heteroreceptor networks. To provide insight into the overall topology of the GPCR heteromers and identify key players, a collective interaction network was constructed. Experimental interaction data for each of the individual human GPCR protomers was obtained manually from the STRING and SCOPUS databases. The interaction data were used to build and analyze the network using Cytoscape software. The network was treated as undirected throughout the study. It is comprised of 156 nodes, 260 edges and has a scale-free topology. Connectivity analysis reveals a significant dominance of intrafamily versus interfamily connections. Most of the receptors within the network are linked to each other by a small number of edges. DRD2, OPRM, ADRB2, AA2AR, AA1R, OPRK, OPRD and GHSR are identified as hubs. In a network representation 10 modules/clusters also appear as a highly interconnected group of nodes. Information on this GPCR network can improve our understanding of molecular integration. GPCR-HetNet has been implemented in Java and is freely available at http://www.iiia.csic.es/~ismel/GPCR-Nets/index.html.

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MicroRNAs (miRNAs) are short, 22-25 nucleotide long transcripts that may suppress entire signaling pathways by interacting with the 3'-untranslated region (3'-UTR) of coding mRNA targets, interrupting translation and inducing degradation of these targets. The long 3'-UTRs of brain transcripts compared to other tissues predict important roles for brain miRNAs. Supporting this notion, we found that brain miRNAs co-evolved with their target transcripts, that non-coding pseudogenes with miRNA recognition elements compete with brain coding mRNAs on their miRNA interactions, and that Single Nucleotide Polymorphisms (SNPs) on such pseudogenes are enriched in mental diseases including autism and schizophrenia, but not Alzheimer's disease (AD). Focusing on evolutionarily conserved and primate-specifi c miRNA controllers of cholinergic signaling ('CholinomiRs'), we fi nd modifi ed CholinomiR levels in the brain and/or nucleated blood cells of patients with AD and Parkinson's disease, with treatment-related diff erences in their levels and prominent impact on the cognitive and anti-infl ammatory consequences of cholinergic signals. Examples include the acetylcholinesterase (AChE)-targeted evolutionarily conserved miR-132, whose levels decline drastically in the AD brain. Furthermore, we found that interruption of AChE mRNA's interaction with the primatespecifi c CholinomiR-608 in carriers of a SNP in the AChE's miR-608 binding site induces domino-like eff ects that reduce the levels of many other miR-608 targets. Young, healthy carriers of this SNP express 40% higher brain AChE activity than others, potentially aff ecting the responsiveness to AD's anti-AChE therapeutics, and show elevated trait anxiety, infl ammation and hypertension. Non-coding regions aff ecting miRNA-target interactions in neurodegenerative brains thus merit special attention.

Valproic acid (VLP) is a widely used anticonvulsant and mood-stabilizing drug that relieves the endoplasmic reticulum (ER) stress response, a pathogenetic process related to diabetes. The aim of the present study was to evaluate whether acute valproic acid is able to interfere with glucose intolerance in two different diabetes models: The first model was a Wfs1 mutant mouse with an elevated ER stress response and the second model a streptozocin-induced diabetic mouse. VLP (300 mg/kg, i.p.) was administered to Wfs1 knockout (KO) mice and glucose tolerance test was performed 15 min later. VLP did not have an effect on the course of the glucose tolerance test in wild-type mice, while it did normalize the glucose intolerance in Wfs1 knockout mice. Acute valproic acid also lowered the blood glucose levels in streptozocin-treated mice and potentiated the effect of insulin in these mice. Thus, acute valproic acid is effective in lowering blood glucose levels possibly by potentiating insulin action in both Wfs1 KO mice and in streptozocin-induced type 1 diabetic mice.