Genome-Wide Analysis of Copy Number Variation in Type 1 Diabetes

Type 1 diabetes (T1D) tends to cluster in families, suggesting there may be a genetic component predisposing to disease. However, a recent large-scale genome-wide association study concluded that identified genetic factors, single nucleotide polymorphisms, do not account for overall familiality. Another class of genetic variation is the amplification or deletion of >1 kilobase segments of the genome, also termed copy number variations (CNVs). We performed genome-wide CNV analysis on a cohort of 20 unrelated adults with T1D and a control (Ctrl) cohort of 20 subjects using the Affymetrix SNP Array 6.0 in combination with the Birdsuite copy number calling software. We identified 39 CNVs as enriched or depleted in T1D versus Ctrl. Additionally, we performed CNV analysis in a group of 10 monozygotic twin pairs discordant for T1D. Eleven of these 39 CNVs were also respectively enriched or depleted in the Twin cohort, suggesting that these variants may be involved in the development of islet autoimmunity, as the presently unaffected twin is at high risk for developing islet autoimmunity and T1D in his or her lifetime. These CNVs include a deletion on chromosome 6p21, near an HLA-DQ allele. CNVs were found that were both enriched or depleted in patients with or at high risk for developing T1D. These regions may represent genetic variants contributing to development of islet autoimmunity in T1D

Characterizing the Molecular Switch from Proteasomes to Autophagy in Aggresome Processing

<p>Cells thrive on sustaining order and balance to maintain proper homeostatic functions. However, the primary machinery involved in protein quality control including chaperones, ubiquitin proteasome system, and autophagy all decline in function and expression with age. Failures in protein quality control lead to enhanced protein misfolding and aggregation. Efficient elimination of misfolded proteins by the proteasome system is critical for cellular proteostasis. However, inadequate proteasome capacity can lead to aberrant aggregation of misfolded proteins and inclusion body formation, which is a hallmark of numerous neurodegenerative diseases. Due to the post-mitotic nature of neurons, they are more susceptible to the collapse in proteostasis correlated with age. </p><p> </p><p>Here, we propose a cell based model of aggresome clearance using a reversible proteasome inhibitor, MG132, to identify the precise molecular machinery involved in proper processing of inclusions. It is known that once misfolded proteins are aggregated, the proteasome system can no longer degrade them. Furthermore, the continuous accumulation of aggregates often leads to aggresome formation, which results in amalgamated inclusion bodies that are simply too large for autophagosomes to engulf and degrade. Although, studies have shown that aggresomes can eventually be cleared by autophagy, the molecular mechanisms underlying this process remain unclear. </p><p>Our research reveals that regardless of impaired proteolysis, proteasomes can still stimulate autophagy-dependent aggresome clearance by producing unanchored lysine (K)63-linked ubiquitin chains via the deubiquitinating enzyme Poh1. Unanchored ubiquitin chains activate ubiquitin-binding histone deacetylase 6, which mediates actin-dependent disassembly of aggresomes. This crucial de-aggregation of aggresomes allows autophagosomes to efficiently engulf and eliminate the protein aggregates. Interestingly, the canonical function of Poh1 involves the cleavage of ubiquitin chains en bloc from proteasomal substrates prior to their degradation by the 20S core, which requires intact 26S proteasomes. In contrast, here we present evidence that during aggresome clearance, 20S proteasomes dissociate from protein aggregates, while Poh1 and selective subunits of 19S proteasomes are retained as an efficient K63 deubiquitinating enzyme complex. The dissociation of 20S proteasome components requires the molecular chaperone Hsp90. Hsp90 inhibition suppresses 26S proteasome remodeling, unanchored ubiquitin chain production, and aggresome clearance. Ultimately, we hope to apply these molecular markers of inclusion body processing to identify the underlying lesion in aggregate prone neurodegenerative disease.</p>Dissertatio

Haplotype Analysis Discriminates Genetic Risk for DR3-Associated Endocrine Autoimmunity and Helps Define Extreme Risk for Addison’s Disease

Context: Multiple autoimmune disorders (e.g. Addison’s disease, type 1 diabetes, celiac disease) are associated with HLA-DR3, but it is likely that alleles of additional genes in linkage disequilibrium with HLA-DRB1 contribute to disease