Assay optimization: a statistical design of experiments approach.

With the transition from manual to robotic HTS in the last several years, assay optimization has become a significant bottleneck. Recent advances in robotic liquid handling have made it feasible to reduce assay optimization timelines with the application of statistically designed experiments. When implemented, they can efficiently optimize assays by rapidly identifying significant factors, complex interactions, and nonlinear responses. This article focuses on the use of statistically designed experiments in assay optimization.

Inhibition of oestradiol-induced prolactin release in a dual-cannulated ovariectomized rat model by carmoxirole, a peripherally restricted dopamine agonist.

Centrally acting dopamine agonists (e.g. bromocriptine) and dopamine transport inhibitors (e.g. GBR12909) are known to inhibit oestradiol-induced prolactin release. The capacity of peripherally restricted compounds to do likewise, however, is unknown. Here, the effects of the peripherally restricted dopamine receptor agonist carmoxirole on oestradiol-induced prolactin release were investigated. Dual-cannulated ovariectomized rats were used, so that a robust, reproducible response to exogenous oestrogen could be induced and sequential blood samples were taken with minimal stress. Carmoxirole (15 mg/kg) inhibited oestradiol-induced prolactin release, similar to bromocriptine and GBR12909. However, carmoxirole also induced a rapid, transient, oestradiol-independent release of prolactin. These data show that peripherally restricted dopamine receptor agonists are sufficient to inhibit oestradiol-induced prolactin release. Like centrally acting compounds, they may therefore be expected to affect the incidence of prolactin-dependent tumours in rat carcinogenesis studies without inducing central-mediated side effects.