Network-Based Analysis of Affected Biological Processes in Type 2 Diabetes Models

Type 2 diabetes mellitus is a complex disorder associated with multiple genetic, epigenetic, developmental, and environmental factors. Animal models of type 2 diabetes differ based on diet, drug treatment, and gene knockouts, and yet all display the clinical hallmarks of hyperglycemia and insulin resistance in peripheral tissue. The recent advances in gene-expression microarray technologies present an unprecedented opportunity to study type 2 diabetes mellitus at a genome-wide scale and across different models. To date, a key challenge has been to identify the biological processes or signaling pathways that play significant roles in the disorder. Here, using a network-based analysis methodology, we identified two sets of genes, associated with insulin signaling and a network of nuclear receptors, which are recurrent in a statistically significant number of diabetes and insulin resistance models and transcriptionally altered across diverse tissue types. We additionally identified a network of protein–protein interactions between members from the two gene sets that may facilitate signaling between them. Taken together, the results illustrate the benefits of integrating high-throughput microarray studies, together with protein–protein interaction networks, in elucidating the underlying biological processes associated with a complex disorder

The Pediatric Cell Atlas:Defining the Growth Phase of Human Development at Single-Cell Resolution

Single-cell gene expression analyses of mammalian tissues have uncovered profound stage-specific molecular regulatory phenomena that have changed the understanding of unique cell types and signaling pathways critical for lineage determination, morphogenesis, and growth. We discuss here the case for a Pediatric Cell Atlas as part of the Human Cell Atlas consortium to provide single-cell profiles and spatial characterization of gene expression across human tissues and organs. Such data will complement adult and developmentally focused HCA projects to provide a rich cytogenomic framework for understanding not only pediatric health and disease but also environmental and genetic impacts across the human lifespan

Clinical Sequencing Exploratory Research Consortium: Accelerating Evidence-Based Practice of Genomic Medicine

Despite rapid technical progress and demonstrable effectiveness for some types of diagnosis and therapy, much remains to be learned about clinical genome and exome sequencing (CGES) and its role within the practice of medicine. The Clinical Sequencing Exploratory Research (CSER) consortium includes 18 extramural research projects, one National Human Genome Research Institute (NHGRI) intramural project, and a coordinating center funded by the NHGRI and National Cancer Institute. The consortium is exploring analytic and clinical validity and utility, as well as the ethical, legal, and social implications of sequencing via multidisciplinary approaches; it has thus far recruited 5,577 participants across a spectrum of symptomatic and healthy children and adults by utilizing both germline and cancer sequencing. The CSER consortium is analyzing data and creating publically available procedures and tools related to participant preferences and consent, variant classification, disclosure and management of primary and secondary findings, health outcomes, and integration with electronic health records. Future research directions will refine measures of clinical utility of CGES in both germline and somatic testing, evaluate the use of CGES for screening in healthy individuals, explore the penetrance of pathogenic variants through extensive phenotyping, reduce discordances in public databases of genes and variants, examine social and ethnic disparities in the provision of genomics services, explore regulatory issues, and estimate the value and downstream costs of sequencing. The CSER consortium has established a shared community of research sites by using diverse approaches to pursue the evidence-based development of best practices in genomic medicine

Sensitivity of housekeeping genes in the hypothalamus to mismatch in diets between pre- and postnatal periods in mice

Housekeeping genes are used as internal controls in gene expression studies, but their expression levels vary according to tissue types and experimental treatments. A nutritional mismatch between pre- and postnatal periods, wherein the in utero nutritional environment is suboptimal and post-weaning diet is rich in fat, results in altered hypothalamic expression levels of genes that regulate the offspring's physiology, metabolism and behavior. The present study investigated hypothalamic expression of the housekeeping genes glyceraldehyde-3-phosphate dehydrogenase (GAPDH), beta-actin and 18s ribosomal RNA (18s rRNA) in offspring subjected to this pre- and postnatal dietary mismatch. Pregnant MF1 mice were fed standard chow (C, 18% casein) or protein restricted (PR, 9% casein) diet throughout pregnancy. Weaned offspring were fed to adulthood a high fat (HF, 45% kcal fat) or chow (21% kcal fat) diet to generate the C/HF, C/C, PR/HF and PR/C groups. Hypothalamic and cerebral cortex tissues were collected from these offspring at 16 weeks of age and analyzed for gene transcript levels by quantitative real time PCR. Hypothalamic GAPDH mRNA levels were higher in PR/HF male and female offspring vs. all other groups (p<0.001 in males). Conversely, hypothalamic beta-actin and 18s rRNA levels were similar in all treatment groups and sex. In the cerebral cortex, GAPDH and beta-actin levels were similar in all groups and sex. The result suggests that beta-actin and 18s rRNA are suitable internal controls for gene expression studies in the hypothalamus, while the stability of GAPDH is compromised, under the condition of a nutritional mismatch between pre- and postnatal period

Back to Basics: Parathyroid Adenoma Disguising as 'CRAB'

10.1016/j.amjmed.2020.10.030AMERICAN JOURNAL OF MEDICINE1345E323-E32