24 research outputs found
Accessory proteins are vital for the functional expression of certain G protein-coupled receptors
Radiotherapy for Prostate Cancer: is it ‘what you do’ or ‘the way that you do it’? A UK Perspective on Technique and Quality Assurance
Epigenetic modification of the renin-angiotensin system in the fetal programming of hypertension
Hypertension is a major risk factor for cardiovascular and cerebrovascular disease. Lifelong environmental factors (eg, salt intake, obesity, alcohol) and genetic factors clearly contribute to the development of hypertension, but it has also been established that stress in utero may program the later development of the disease. This phenomenon, known as fetal programming can be modeled in a range of experimental animal models. In maternal low protein diet rat models of programming, administration of angiotensin converting enzyme inhibitors or angiotensin receptor antagonists in early life can prevent development of hypertension, thus implicating the renin-angiotensin system in this process. Here we show that in this model, expression of the AT1b angiotensin receptor gene in the adrenal gland is upregulated by the first week of life resulting in increased receptor protein expression consistent with the increased adrenal angiotensin responsiveness observed by others. Furthermore, we show that the proximal promoter of the AT1b gene in the adrenal is significantly undermethylated, and that in vitro, AT1b gene expression is highly dependent on promoter methylation. These data suggest a link between fetal insults to epigenetic modification of genes and the resultant alteration of gene expression in adult life leading ultimately to the development of hypertension. It seems highly probable that similar influences may be involved in the development of human hypertensio
Growth hormone insensitivity:Pathophysiology, diagnosis, clinical variation and future perspectives
MCM4 mutation causes adrenal failure, short stature, and natural killer cell deficiency in humans
An interesting variant of familial glucocorticoid deficiency (FGD), an autosomal recessive form of adrenal failure, exists in a genetically isolated Irish population. In addition to hypocortisolemia, affected children show signs of growth failure, increased chromosomal breakage, and NK cell deficiency. Targeted exome sequencing in 8 patients identified a variant (c.71-1insG) in minichromosome maintenance–deficient 4 (MCM4) that was predicted to result in a severely truncated protein (p.Pro24ArgfsX4). Western blotting of patient samples revealed that the major 96-kDa isoform present in unaffected human controls was absent, while the presence of the minor 85-kDa isoform was preserved. Interestingly, histological studies with Mcm4-depleted mice showed grossly abnormal adrenal morphology that was characterized by non-steroidogenic GATA4- and Gli1-positive cells within the steroidogenic cortex, which reduced the number of steroidogenic cells in the zona fasciculata of the adrenal cortex. Since MCM4 is one part of a MCM2-7 complex recently confirmed as the replicative helicase essential for normal DNA replication and genome stability in all eukaryotes, it is possible that our patients may have an increased risk of neoplastic change. In summary, we have identified what we believe to be the first human mutation in MCM4 and have shown that it is associated with adrenal insufficiency, short stature, and NK cell deficiency
Industrial Adoption of Model-Driven Engineering: Are the Tools Really the Problem
Abstract. An oft-cited reason for lack of adoption of model-driven engineering (MDE) is poor tool support. However, studies have shown that adoption problems are as much to do with social and organizational factors as with tooling issues. This paper discusses the impact of tools on MDE adoption and places tooling within a broader organizational context. The paper revisits previous data on MDE adoption (19 in-depth interviews with MDE practitioners) and re-analyzes the data through the specific lens of MDE tools. In addition, the paper presents new data (20 new interviews in two specific companies) and analyzes it through the same lens. The key contribution of the paper is a taxonomy of tool-related considerations, based on industry data, which can be used to reflect on the tooling landscape as well as inform future research on MDE tools