Dominant inhibition of thyroid hormone action selectively in the pituitary of thyroid hormone receptor-beta null mice abolishes the regulation of thyrotropin by thyroid hormone.

Thyroid hormones, T4 and T3, regulate their own production by feedback inhibition of TSH and TRH synthesis in the pituitary and hypothalamus when T3 binds to thyroid hormone receptors (TRs) that interact with the promoters of the genes for the TSH subunit and TRH. All TR isoforms are believed to be involved in the regulation of this endocrine axis, as evidenced by the massive dysregulation of TSH production in mice lacking all TR isoforms. However, the relative contributions of TR isoforms in the pituitary vs. the hypothalamus remain to be completely elucidated. Thus, to determine the relative contribution of pituitary expression of TR-alpha in the regulation of the hypothalamic-pituitary-thyroid axis, we selectively impaired TR-alpha function in TR-beta null mice (TR-beta-/-) by pituitary restricted expression of a dominant negative TR-beta transgene harboring a delta337T mutation. These animals exhibited 10-fold and 32-fold increase in T4 and TSH concentrations, respectively. Moreover, the negative regulation of TSH by exogenous T3 was completely absent and a paradoxical increase in TSH concentrations and TSH-beta mRNA was observed. In contrast, prepro-TRH expression levels in T3-treated TR-beta-/- were similar to levels observed in the delta337/TR-beta-/- mice, and ligand-independent activation of TSH in hypothyroid mice was equivalently impaired. Thus, isolated TR-beta deficiency in TRH paraventricular hypothalamic nucleus neurons and impaired function of all TRs in the pituitary recapitulate the baseline hormonal disturbances that characterize mice with complete absence of all TRs.

Integrating transcriptional and metabolite profiles to direct the engineering of lovastatin-producing fungal strains.

We describe a method to decipher the complex inter-relationships between metabolite production trends and gene expression events, and show how information gleaned from such studies can be applied to yield improved production strains. Genomic fragment microarrays were constructed for the Aspergillus terreus genome, and transcriptional profiles were generated from strains engineered to produce varying amounts of the medically significant natural product lovastatin. Metabolite detection methods were employed to quantify the polyketide-derived secondary metabolites lovastatin and (+)-geodin in broths from fermentations of the same strains. Association analysis of the resulting transcriptional and metabolic data sets provides mechanistic insight into the genetic and physiological control of lovastatin and (+)-geodin biosynthesis, and identifies novel components involved in the production of (+)-geodin, as well as other secondary metabolites. Furthermore, this analysis identifies specific tools, including promoters for reporter-based selection systems, that we employed to improve lovastatin production by A. terreus.