Development and performance of a comprehensive targeted sequencing assay for pan-ethnic screening of carrier status.

Identifying individuals as carriers of severe disease traits enables informed decision making about reproductive options. Although carrier screening has traditionally been based on ethnicity, the increasing ethnic admixture in the general population argues for the need for pan-ethnic carrier screening assays. Highly multiplexed mutation panels allow for rapid and efficient testing of hundreds of mutations concurrently.

Urine metabonomic profiling of a female adolescent with PIT-1 mutation before and during growth hormone therapy: insights into the metabolic effects of growth hormone.

Objective: Growth hormone (GH) is a protein hormone with important roles in growth and metabolism. The objective of this study was to investigate the metabolism of a human subject with severe GH deficiency (GHD) due to a PIT-1 gene mutation and the metabolic effects of GH therapy using Nuclear Magnetic Resonance (NMR)-based metabonomics. NMR-based metabonomics is a platform that allows the metabolic profile of biological fluids such as urine to be recorded, and any alterations in the profile modulated by GH can potentially be detected.

Single assay for simultaneous detection and differential identification of human and avian influenza virus types, subtypes, and emergent variants.

For more than four decades the cause of most type A influenza virus infections of humans has been attributed to only two viral subtypes, A/H1N1 or A/H3N2. In contrast, avian and other vertebrate species are a reservoir of type A influenza virus genome diversity, hosting strains representing at least 120 of 144 combinations of 16 viral hemagglutinin and 9 viral neuraminidase subtypes. Viral genome segment reassortments and mutations emerging within this reservoir may spawn new influenza virus strains as imminent epidemic or pandemic threats to human health and poultry production.

Altered metabolism of growth hormone receptor mutant mice: a combined NMR metabonomics and microarray study.

Background: Growth hormone is an important regulator of post-natal growth and metabolism. We have investigated the metabolic consequences of altered growth hormone signalling in mutant mice that have truncations at position 569 and 391 of the intracellular domain of the growth hormone receptor, and thus exhibit either low (around 30% maximum) or no growth hormone-dependent STAT5 signalling respectively. These mutations result in altered liver metabolism, obesity and insulin resistance.

How growth hormone controls growth, obesity and sexual dimorphism.

Understanding the molecular basis for the many actions of growth hormone (GH) has been challenging because many of these actions are only evident in vivo. Recently, STAT5b has emerged as a key GH signaling intermediate in the regulation of postnatal growth, adiposity and sexual dimorphism of hepatic gene expression. This realization is based on targeted disruption or mutation of the GH receptor and its signaling components, together with clinical studies of GH-insensitive mutants.

Nuclear targeting of the growth hormone receptor results in dysregulation of cell proliferation and tumorigenesis.

Growth hormone receptor (GHR) has been demonstrated to be nuclear localized both in vivo and in vitro, but the significance of this observation has remained elusive. Here we show that nuclear GHR is strongly correlated with proliferative status in vivo by using a liver regeneration model. In vitro, nuclear translocation of the GH receptor is GH-dependent and appears to be mediated by the Importin system.

In vivo analysis of growth hormone receptor signaling domains and their associated transcripts.

The growth hormone receptor (GHR) is a critical regulator of postnatal growth and metabolism. However, the GHR signaling domains and pathways that regulate these processes in vivo are not defined. We report the first knock-in mouse models with deletions of specific domains of the receptor that are required for its in vivo actions.

Application of in silico positional cloning and bioinformatic mutation analysis to the study of eye diseases.

A vast amount of DNA and protein sequence is now available and a plethora of programs have been developed to analyse the data. The bewildering variety of analyses that can be performed via the World-Wide Web can deter researchers from applying bioinformatics to augment their traditional genetic research. Focusing on the inherited eye diseases, this paper provides a guide to the appropriate software required for identification of candidate genes through to the detection and analysis of mutations.