Molecular basis of retinoid action: The role of retinoic acid receptors in retinoic acid-induced tissue transglutaminase expression

Retinoic acid has profound effects on the cellular growth and differentiation of a variety of cells. However, the molecular basis of retinoic acid action has, until recently, not been well understood. The identification of retinoic acid receptors which bear a high degree of homology to members of the steroid receptor super-family has dramatically altered our understanding of the biology of retinoids. The focus of this dissertation has been toward identification of retinoic acid binding proteins responsible for the effects of this molecule on gene expression.^ We have characterized in detail the retinoic acid-dependent induction of tissue transglutaminase gene expression in a myeloid cell line, human promyelocytic leukemia cells (HL-60 cells). Using cDNA probes specific for tissue transglutaminase, we have determined that the retinoic acid induced increase in enzyme level is due to an increase in the level of tissue transglutaminase mRNA. We have used this model as a probe to investigate the molecular basis of retinoid regulated gene expression.^ This thesis demonstrates that retinoic acid receptors are expressed in cells which induce tissue transglutaminase expression in response to retinoic acid. In Hl-60 cells retinoic acid-induced transglutaminase expression is associated with saturable nuclear retonic acid binding. Transcripts for both the alpha and beta forms of the retinoic acid receptors can be detected in these cells. Pretreatment of HL-60 cells with agents that potentiate retinoic acid-induced transglutaminase expression also modestly induced the alpha form of the retinoic acid receptor. Studies in macrophages and umbilical vein endothelial cells have also associated expression of the beta form of the retinoic acid with retinoic acid induced tissue transglutaminase expression.^ To investigate directly if retinoic acid receptors regulate retinoic acid-induced tissue transglutaminase expression we developed a series of stably transfected Balb-c 3T3 cells expressing different levels of the beta or gamma form of the retinoic acid receptor. These studies indicated that either the beta or gamma receptor can stimulate endogenous tissue transglutaminase expression in response to retinoic acid. These are among the first studies in the steroid field to describe regulation of an endogenous gene by a transfected receptor. ^

Systematic interpretation of molecular beacon polymerase chain reaction for identifying rpoB mutations in Mycobacterium tuberculosis isolates with mixed resistant and susceptible bacteria

Detection of multidrug-resistant tuberculosis (MDR-TB), a frequent cause of treatment failure, takes 2 or more weeks to identify by culture. RIF-resistance is a hallmark of MDR-TB, and detection of mutations in the rpoB gene of Mycobacterium tuberculosis using molecular beacon probes with real-time quantitative polymerase chain reaction (qPCR) is a novel approach that takes ≤2 days. However, qPCR identification of resistant isolates, particularly for isolates with mixed RIF-susceptible and RIF-resistant bacteria, is reader dependent and limits its clinical use. The aim of this study was to develop an objective, reader-independent method to define rpoB mutants using beacon qPCR. This would facilitate the transition from a research protocol to the clinical setting, where high-throughput methods with objective interpretation are required. For this, DNAs from 107 M. tuberculosis clinical isolates with known susceptibility to RIF by culture-based methods were obtained from 2 regions where isolates have not previously been subjected to evaluation using molecular beacon qPCR: the Texas–Mexico border and Colombia. Using coded DNA specimens, mutations within an 81-bp hot spot region of rpoB were established by qPCR with 5 beacons spanning this region. Visual and mathematical approaches were used to establish whether the qPCR cycle threshold of the experimental isolate was significantly higher (mutant) compared to a reference wild-type isolate. Visual classification of the beacon qPCR required reader training for strains with a mixture of RIF-susceptible and RIF-resistant bacteria. Only then had the visual interpretation by an experienced reader had 100% sensitivity and 94.6% specificity versus RIF-resistance by culture phenotype and 98.1% sensitivity and 100% specificity versus mutations based on DNA sequence. The mathematical approach was 98% sensitive and 94.5% specific versus culture and 96.2% sensitive and 100% specific versus DNA sequence. Our findings indicate the mathematical approach has advantages over the visual reading, in that it uses a Microsoft Excel template to eliminate reader bias or inexperience, and allows objective interpretation from high-throughput analyses even in the presence of a mixture of RIF-resistant and RIF-susceptible isolates without the need for reader training.^