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Background and purpose P2X4 receptors are emerging therapeutic targets for treating chronic pain and cardiovascular disease. Dogs are well-recognised natural models of human disease, but information regarding P2X4 receptors in dogs is lacking. To aid the development and validation of P2X4 receptor ligands, we have characterised and compared canine and human P2X4 receptors. Experimental approach Genomic DNA was extracted from whole blood samples from 101 randomly selected dogs and sequenced across the P2RX4 gene to identify potential missense variants. Recombinant canine and human P2X4 receptors tagged with Emerald GFP were expressed in 1321N1 and HEK293 cells and analysed by immunoblotting and confocal microscopy. In these cells, receptor pharmacology was characterised using nucleotide-induced Fura-2 AM measurements of intracellular Ca2+ and known P2X4 receptor antagonists. P2X4 receptor-mediated inward currents in HEK293 cells were assessed by automated patch clamp. Key results No P2RX4 missense variants were identified in any canine samples. Canine and human P2X4 receptors were localised primarily to lysosomal compartments. ATP was the primary agonist of canine P2X4 receptors with near identical efficacy and potency at human receptors. 2'(3')-O-(4-benzoylbenzoyl)-ATP, but not ADP, was a partial agonist with reduced potency for canine P2X4 receptors compared to the human orthologues. Five antagonists inhibited canine P2X4 receptors, with 1-(2,6-dibromo-4-isopropyl-phenyl)-3-(3-pyridyl)urea displaying reduced sensitivity and potency at canine P2X4 receptors. Conclusion and implications P2X4 receptors are highly conserved across dog pedigrees and display expression patterns and pharmacological profiles similar to human receptors, supporting validation and use of therapeutic agents for P2X4 receptor-related disease onset and management in dogs and humans.

Cell range expansion is a popular technique to encourage more user association towards small cells for heterogeneous networks to improve overall system performance. However, a constant bias value may be unsuitable for higher loads as it may lead to overloading. We propose a load dependent dynamic bias function which decreases the bias value with increasing load, acting as a natural prevention of overloading. Linking user association and biasing, we also investigate the effects of two different association orders and show that associating closest users first produces higher sum rate and average pico user rate than associating farthest users first, yet associates fewer users. Mathematical derivation of equivalent static biases that associate the same number of users is also presented to aid bias configuration. Our results indicate that dynamic biasing can bring improvements in rate performance, and is most beneficial when a minimum rate constraint is not imposed by the small cells.