CART: an Hrs/actinin-4/BERP/myosin V protein complex required for efficient receptor recycling.

Altering the number of surface receptors can rapidly modulate cellular responses to extracellular signals. Some receptors, like the transferrin receptor (TfR), are constitutively internalized and recycled to the plasma membrane. Other receptors, like the epidermal growth factor receptor (EGFR), are internalized after ligand binding and then ultimately degraded in the lysosome. Routing internalized receptors to different destinations suggests that distinct molecular mechanisms may direct their movement. Here, we report that the endosome-associated protein hrs is a subunit of a protein complex containing actinin-4, BERP, and myosin V that is necessary for efficient TfR recycling but not for EGFR degradation. The hrs/actinin-4/BERP/myosin V (CART [cytoskeleton-associated recycling or transport]) complex assembles in a linear manner and interrupting binding of any member to its neighbor produces an inhibition of transferrin recycling rate. Disrupting the CART complex results in shunting receptors to a slower recycling pathway that involves the recycling endosome. The novel CART complex may provide a molecular mechanism for the actin-dependence of rapid recycling of constitutively recycled plasma membrane receptors.

Rubisco in complex with Rubisco large subunit methyltransferase.

SET domain protein lysine methyltransferases (PKMT) are a structurally unique class of enzymes that catalyze the specific methylation of lysine residues in a number of different substrates. Especially histone-specific SET domain PKMTs have received widespread attention because of their roles in the regulation of epigenetic gene expression and the development of some cancers. Rubisco large subunit methyltransferase (RLSMT) is a chloroplast-localized SET domain PKMT responsible for the formation of trimethyl-lysine-14 in the large subunit of Rubisco, an essential photosynthetic enzyme. Here, we have used cryoelectron microscopy to produce an 11-A density map of the Rubisco-RLSMT complex. The atomic model of the complex, obtained by fitting crystal structures of Rubisco and RLSMT into the density map, shows that the extensive contact regions between the 2 proteins are mainly mediated by hydrophobic residues and leucine-rich repeats. It further provides insights into potential conformational changes that may occur during substrate binding and catalysis. This study presents the first structural analysis of a SET domain PKMT in complex with its intact polypeptide substrate.

Establishment of a complex inflammatory and protumorigenic microenvironment in mouse pancreas through cyclooxygenase-2 overexpression

Chronic inflammation is an established risk factor in the pathogenesis of many cancers. Pancreatic ductal adenocarcinoma, a malignancy with a particularly dismal prognosis, is no exception. Cyclooxygenase-2, a key enzyme induced by tissue injury, has a critical role in the generation of bioactive lipids known as prostaglandins. COX-2 overexpression is a frequent finding in pancreatic cancer, chronic pancreatitis and pancreatic intraepithelial neoplasias. To explore mechanisms through which chronic inflammation establishes and maintains a protumorigenic environment, we designed a mouse model overexpressing COX-2 in pancreatic parenchyma (BK5.COX-2 mice). We discovered that constitutive expression of COX-2 has a number of important sequelae, including upregulation of additional eicosanoid-generating enzymes and proinflammatory cytokines. Many of these molecular alterations precede the onset of significant histopathological changes. Increased levels of prostaglandins E2, D2, and F2α, 5-, 12-, and 15-hydroxyeiosatetraenoic acid (HETEs) were documented in tumors and pancreata of younger transgenic mice. Using a TaqMan™ Mouse Immune Panel, we detected elevated mRNAs for a number of proinflammatory cytokines (e.g., TNFα, IL-1β, IL-6). ^ Histological examination revealed early changes in the pancreas with similarities to human chronic pancreatitis, including loss of acinar cells, appearance of metaplastic ducts, and increased deposition of stroma. As the lesions progress, features typical of dysplastic and neoplastic cells emerged within the metaplastic ductal complexes, including cellular and nuclear atypia, crowding of cells, and loss of normal tissue architecture. The amount of fibroinflammatory stroma increased considerably; numerous small vessels were evident. A number of immunocytes from both the myeloid and lymphoid lineages were identified in transgenic pancreata. Neutrophils were the earliest to infiltrate, followed shortly by macrophages and mast cells. B and T cells generally began to appear by 8–12 weeks, and organized aggregates of lymphoid cells were often found in advanced lesions. ^ We tested the efficacy of several chemopreventive agents in this model, including celecoxib, a COX-2 selective inhibitor, pentoxifylline, a cytokine inhibitor, curcumin, a polyphenol with antioxidant and anti-inflammatory properties, and GW2974, a dual EGFR/ErbB2 inhibitor. Effects on lesion development were modest in the GW2974 and pentoxifylline treated groups, but significant prevention effects were observed with curcumin and celecoxib. ^

Symposium for dental treatment of medically complex children: Practice based culminating experience a continuing education course

The purpose of this Continuing Education Course is to provide oral health professionals with information to address the unique dental needs of medically complex children. The objective is to train dentists to treat special needs patients so these children have more access to oral healthcare. ^ Under the auspice of Dell Children Hospital of Austin, Lisa Jacob DDS MS is administering this Continuing Education Course for dentists and dental staff from the 46 counties of central Texas served by the hospital.^ Needs assessment was determined through a survey questionnaire to collect data about the number of special needs patients seen by general dentists in Central Texas.^ In recent years, an increasing number of continuing education courses have been developed to help dentists learn techniques for providing dentistry in more understanding ways to patients with special needs. Dentists and dental staff are trained to provide care specifically in dentistry, regardless of who the patient is. This means dentists can perform a clinical examination, carry out procedures to diagnose and treat oral diseases, and provide restorations such as fillings and crowns. ^ Four prominent speakers will provide an instructional tool to address the need for dentists to increase their competence and comfort level in caring for individuals with developmental disabilities. Each speaker will address one of the most frequently encountered cases of medically complex children. The four topics selected by Dr. Lisa Jacob are Cancer, Mental Disability, Downs Syndrome, and Craniofacial Syndromes.^ The public health implications of this continuing education course are presented in providing dental service to this underserved population. When general dentist turn away patients with special needs because of lack of knowledge to treat them, these patients will, more than likely, postpone or abandon needed dental visits because of difficulties reaching pediatric dentists who may not be available in certain areas.^

THE NATURAL AND ORTHOGONAL INTERACTION (NOIA) MODELS FOR QUANTITATIVE TRAITS (QTs) AND COMPLEX DISEASES

My dissertation focuses on developing methods for gene-gene/environment interactions and imprinting effect detections for human complex diseases and quantitative traits. It includes three sections: (1) generalizing the Natural and Orthogonal interaction (NOIA) model for the coding technique originally developed for gene-gene (GxG) interaction and also to reduced models; (2) developing a novel statistical approach that allows for modeling gene-environment (GxE) interactions influencing disease risk, and (3) developing a statistical approach for modeling genetic variants displaying parent-of-origin effects (POEs), such as imprinting. In the past decade, genetic researchers have identified a large number of causal variants for human genetic diseases and traits by single-locus analysis, and interaction has now become a hot topic in the effort to search for the complex network between multiple genes or environmental exposures contributing to the outcome. Epistasis, also known as gene-gene interaction is the departure from additive genetic effects from several genes to a trait, which means that the same alleles of one gene could display different genetic effects under different genetic backgrounds. In this study, we propose to implement the NOIA model for association studies along with interaction for human complex traits and diseases. We compare the performance of the new statistical models we developed and the usual functional model by both simulation study and real data analysis. Both simulation and real data analysis revealed higher power of the NOIA GxG interaction model for detecting both main genetic effects and interaction effects. Through application on a melanoma dataset, we confirmed the previously identified significant regions for melanoma risk at 15q13.1, 16q24.3 and 9p21.3. We also identified potential interactions with these significant regions that contribute to melanoma risk. Based on the NOIA model, we developed a novel statistical approach that allows us to model effects from a genetic factor and binary environmental exposure that are jointly influencing disease risk. Both simulation and real data analyses revealed higher power of the NOIA model for detecting both main genetic effects and interaction effects for both quantitative and binary traits. We also found that estimates of the parameters from logistic regression for binary traits are no longer statistically uncorrelated under the alternative model when there is an association. Applying our novel approach to a lung cancer dataset, we confirmed four SNPs in 5p15 and 15q25 region to be significantly associated with lung cancer risk in Caucasians population: rs2736100, rs402710, rs16969968 and rs8034191. We also validated that rs16969968 and rs8034191 in 15q25 region are significantly interacting with smoking in Caucasian population. Our approach identified the potential interactions of SNP rs2256543 in 6p21 with smoking on contributing to lung cancer risk. Genetic imprinting is the most well-known cause for parent-of-origin effect (POE) whereby a gene is differentially expressed depending on the parental origin of the same alleles. Genetic imprinting affects several human disorders, including diabetes, breast cancer, alcoholism, and obesity. This phenomenon has been shown to be important for normal embryonic development in mammals. Traditional association approaches ignore this important genetic phenomenon. In this study, we propose a NOIA framework for a single locus association study that estimates both main allelic effects and POEs. We develop statistical (Stat-POE) and functional (Func-POE) models, and demonstrate conditions for orthogonality of the Stat-POE model. We conducted simulations for both quantitative and qualitative traits to evaluate the performance of the statistical and functional models with different levels of POEs. Our results showed that the newly proposed Stat-POE model, which ensures orthogonality of variance components if Hardy-Weinberg Equilibrium (HWE) or equal minor and major allele frequencies is satisfied, had greater power for detecting the main allelic additive effect than a Func-POE model, which codes according to allelic substitutions, for both quantitative and qualitative traits. The power for detecting the POE was the same for the Stat-POE and Func-POE models under HWE for quantitative traits.