PREDICTION OF DNA METHYLATION BASED ON GENOMIC ARCHITECTURE AND APPLICATIONS OF POSITIONAL WEIGHT MATRICES

Gene silencing due to epigenetic mechanisms shows evidence of significant contributions to cancer development. We hypothesis that the genetic architecture based on retrotransposon elements surrounding the transcription start site, plays an important role in the suppression and promotion of DNA methylation. In our investigation we found a high rate of SINE and LINEs retrotransposon elements near the transcription start site of unmethylated genes when compared to methylated genes. The presence of these elements were positively associated with promoter methylation, contrary to logical expectations, due to the malicious effects of retrotransposon elements which insert themselves randomly into the genome causing possible loss of gene function. In our genome wide analysis of human genes, results suggested that 22% of the genes in cancer were predicted to be methylation-prone; in cancer these genes are generally down-regulated and function in the development process. In summary, our investigation validated our hypothesis and showed that these widespread genomic elements in cancer are highly associated with promoter DNA methylation and may further participate in influencing epigenetic regulation.

Cell surface galactosyltransferase structure and function during mesenchymal cell migration

In order to more fully understand the function of surface GalTase on mesenchymal cells, anti-GalTase IgG was used to (a) examine the role of surface GalTase during mouse mesenchymal cell migration on laminin and fibronectin; (b) define the plasma membrane distribution of GalTase by indirect immunofluorescence on migrating cells; (c) quantitate the level of surface GalTase on migrating cells; and (d) determine whether GalTase is associated with the cytoskeleton.^ Results show that anti-GalTase IgG was able to inhibit migration (48-80% as compared to basal rate) when cells were migrating on laminin-containing matrices. Monovalent Fab fragments inhibited migration on laminin by 90% after 4 hours. On the other hand, anti-GalTase IgG had no effect on cells migrating on fibronectin. This illustrates the substrate specificity of GalTase mediated-migration. When anti-GalTase IgG was used to localize surface GalTase on cells migratory on laminin, the enzyme was restricted to the leading and trailing edges of the cell. Assays indicate that GalTase is elevated approximately 3-fold when cells are migrating on laminin-containing matrices as compared to migratory cells on plastic or fibronectin, or as compared to stationary cells on any substrate. Laminin appears to recruit GalTase from preexisting intracellular pools to the growing lamellipodia.^ Double-label indirect immunofluorescence studies indicate that there is an apparent co-localization between some of the surface GalTase and some actin filaments. This relationship was explored by extracting cells prelabeled with anti-GalTase IgG and quantitated by radiolabeled second antibodies. Results show that 79% of the surface GalTase is associated with the cytoskeleton (as judged by detergent insolubility) when monovalent antibodies (Fab) are used. However virtually all (80-100%) of the surface GalTase can be induced to associate with the cytoskeleton when cross-linked with bivalent antibodies. Furthermore, when cells in suspension are incubated with divalent antibodies, an additional 66% of the surface GalTase can be induced to associate with the cytoskeleton. The elevated levels of surface GalTase detectable on cells migrating on laminin also appear to be associated with the cytoskeleton.^ Several lines of evidence suggest that GalTase is associated with F-actin. Data suggest that laminin induces the expression of surface GalTase to the growing lamellipodia where it becomes associated with the cytoskeleton leading to cell spreading and migration. (Abstract shortened with permission of author.) ^

Molecular analysis of cell surface $\beta$1,4-galactosyltransferase function during lamellipodal formation, cell polarization, and cell migration

The rate and direction of fibroblast locomotion is regulated by the formation of lamellipodia. In turn, lamellipodal formation is modulated in part by adhesion of that region of the cell from which the lamellipodia will extend or orginate. Cell surface $\beta$1,4-galactosyltransferase (GalTase) is one molecule that has been demonstrated to mediate cellular interactions with extracellular matrices. In the case of fibroblasts, GalTase must be associated with the actin cytoskeleton in order to mediate cellular adhesion to laminin. The object of this study was to determine how altering the quantity of GalTase capable of associating with the cytoskeleton impacts cell motility. Stably transfected cell lines were generated that have increased or decreased levels of surface GalTase relative to its cytoskeleton-binding sites. Biochemical analyses of these cells reveals that there is a limited number of sites on the cytoskeleton with which GalTase can interact. Altering the ratio of GalTase to its cytoskeleton binding sites does not affect the cells' abilities to spread, nor does it affect the localization of cytoskeletally-bound GalTase. It does, however, appear to interfere with stress fiber bundling. Cells with altered GalTase:cytoskeleton ratios change their polarity of laminin more frequently, as compared to controls. Therefore, the ectopic expression of GalTase cytoplasmic domains impairs a cell's ability to control the placement of lamellipodia. Cells were then tested for their ability to respond to a directional stimulus, a gradient of platelet-derived growth factor (PDGF). It was found that the ability of a cell to polarize in response to a gradient of PDGF is directly proportional to the quantity of GalTase associated with its cytoskeleton. Finally, the rate of unidirectional cell migration on laminin was found to be directly dependent upon surface GalTase expression and is inversely related to the ability of surface GalTase to interact with the cytoskeleton. It is therefore proposed that cytoskeletal assembly and lamellipodal formation can be regulated by the altering the ratio of cytoplasmic domains for specific matrix receptors, such as GalTase, relative to their cytoskeleton-binding sites. ^

PREPARATION AND CHARACTERIZATION OF COVALENTLY LINKED ENZYME-ANTIBODY CONJUGATES AND THEIR USE IN MEASURING MINUTE QUANTITIES OF PROTEIN ANTIGENS

The discovery and characterization of oncofetal proteins have led to significant advances in early cancer diagnosis and therapeutic monitoring of patients undergoing cancer chemotherapy. These tumor-associated antigens are presently measured by sensitive, specific immunoassay techniques based on the detection of minute amounts of labeled antigen or antibody incorporated into immune complexes, which must be isolated from free antigen and antibody.^ Since there are several disadvantages with using radioisotopes, the most common immunolabel, one major objective was to prepare covalently coupled enzyme-antibody conjugates and evaluate their use as a practical alternative to radiolabeled immune reagents. An improved technique for the production of enzyme-antibody conjugates was developed that involves oxidizing the carbohydrate moieties on a glycoprotein enzyme, then introducing antibody in the presence of polyethylene glycol (PEG). Covalent enzyme-antibody conjugates involving alkaline phosphatase and amyloglucosidase were produced and characterized.^ In order to increase the sensitivity of detecting the amyloglucosidase-antibody conjugate, an enzyme cycling assay was developed that measures glucose, the product of maltose cleavage by amyloglucosidase, in the picomole range. The increased sensitivity obtained by combined usage of the amyloglucosidase-antibody conjugate and enzyme cycling assay was then compared to that of conventional enzyme immunoassay (EIA).^ For immune complex isolation, polystyrene tubes and protein A-bearing Staphylococcus aureus were evaluated as solid phase matrices, upon which antibodies can be immobilized. A sandwich-type EIA, using antibody-coated S. aureus, was developed that measures human albumin (HSA) in the nanogram range. The assay, using an alkaline phosphatase-anti-HSA conjugate, was applied to the determination of HSA in human urine and evaluated extensively for its clinical applicability.^ Finally, in view of the clinical significance of alpha-fetoprotein (AFP) as an oncofetal antigen and the difficulty with its purification for use as an immunogen and assay standard, a chemical purification protocol was developed that resulted in a high yield of immunochemically pure AFP. ^

Interrelationships between the structural and functional aspects of social relationships, comorbidity and health related quality of life in breast cancer survivors

It is widely acknowledged in theoretical and empirical literature that social relationships, comprising of structural measures (social networks) and functional measures (perceived social support) have an undeniable effect on health outcomes. However, the actual mechanism of this effect has yet to be clearly understood or explicated. In addition, comorbidity is found to adversely affect social relationships and health related quality of life (a valued outcome measure in cancer patients and survivors). ^ This cross sectional study uses selected baseline data (N=3088) from the Women's Healthy Eating and Living (WHEL) study. Lisrel 8.72 was used for the latent variable structural equation modeling. Due to the ordinal nature of the data, Weighted Least Squares (WLS) method of estimation using Asymptotic Distribution Free covariance matrices was chosen for this analysis. The primary exogenous predictor variables are Social Networks and Comorbidity; Perceived Social Support is the endogenous predictor variable. Three dimensions of HRQoL, physical, mental and satisfaction with current quality of life were the outcome variables. ^ This study hypothesizes and tests the mechanism and pathways between comorbidity, social relationships and HRQoL using latent variable structural equation modeling. After testing the measurement models of social networks and perceived social support, a structural model hypothesizing associations between the latent exogenous and endogenous variables was tested. The results of the study after listwise deletion (N=2131) mostly confirmed the hypothesized relationships (TLI, CFI >0.95, RMSEA = 0.05, p=0.15). Comorbidity was adversely associated with all three HRQoL outcomes. Strong ties were negatively associated with perceived social support; social network had a strong positive association with perceived social support, which served as a mediator between social networks and HRQoL. Mental health quality of life was the most adversely affected by the predictor variables. ^ This study is a preliminary look at the integration of structural and functional measures of social relationships, comorbidity and three HRQoL indicators using LVSEM. Developing stronger social networks and forming supportive relationships is beneficial for health outcomes such as HRQoL of cancer survivors. Thus, the medical community treating cancer survivors as well as the survivor's social networks need to be informed and cognizant of these possible relationships. ^

Disparities in asthma prevalence: The influence of sociodemographic and workplace factors

Asthma is a serious and continuing health problem that affects millions of Americans. Our study was conducted in response to this serious health problem and for purposes of addressing the issue of potential health disparities as outlined in Healthy People 2010. Data from sub-populations of subjects who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999-2004 were used to complete the following specific aims: (1) to update nationally-based estimates of the prevalence of current and lifetime (ever) asthma among adults in the United States (U.S.) and describe by gender the relationships between potential risk factors (e.g., sociodemographics and lifestyle) and asthma; (2) to describe demographic characteristics among working adults in the U.S. and update estimates of the prevalence of asthma in this sub-population, stratified by occupation and industry; and 3) to determine the utility of adapting a population-based Job Exposure Matrix (JEM) for classifying workplace exposures to asthmagens. ^ Our findings suggest the prevalence of asthma among U.S. adults is continuing to rise, with women having a higher prevalence of asthma than men. Living below the poverty threshold, obesity, and prior history of smoking remain important determinants of asthma. Our study also adds to the increasing evidence that health care workers (HCWs) and those employed in education remain at high risk and that appropriate evaluation and control measures need to be implemented. Over 78% of HCWs and 71% of teachers in our study were females suggesting that further exploration of gender-specific risk factors of asthma in working populations is needed. ^ Our study also addressed the feasibility of adapting a population-based asthma-specific JEM to NHANES (1999-2004). We were not able to apply the asthma-specific JEM due to the broad occupational categories within NHANES. This represents a missed opportunity to examine the association between workplace exposures and asthma in U.S. working adults. However, we have identified steps that may be implemented in future population-based studies that would allow the asthma-specific JEM (and other population-based job exposure matrices) to be used in future studies of the U.S. working population.^

Selection bias and the cross-validation of regression models for prediction

Strategies are compared for the development of a linear regression model with stochastic (multivariate normal) regressor variables and the subsequent assessment of its predictive ability. Bias and mean squared error of four estimators of predictive performance are evaluated in simulated samples of 32 population correlation matrices. Models including all of the available predictors are compared with those obtained using selected subsets. The subset selection procedures investigated include two stopping rules, C$\sb{\rm p}$ and S$\sb{\rm p}$, each combined with an 'all possible subsets' or 'forward selection' of variables. The estimators of performance utilized include parametric (MSEP$\sb{\rm m}$) and non-parametric (PRESS) assessments in the entire sample, and two data splitting estimates restricted to a random or balanced (Snee's DUPLEX) 'validation' half sample. The simulations were performed as a designed experiment, with population correlation matrices representing a broad range of data structures.^ The techniques examined for subset selection do not generally result in improved predictions relative to the full model. Approaches using 'forward selection' result in slightly smaller prediction errors and less biased estimators of predictive accuracy than 'all possible subsets' approaches but no differences are detected between the performances of C$\sb{\rm p}$ and S$\sb{\rm p}$. In every case, prediction errors of models obtained by subset selection in either of the half splits exceed those obtained using all predictors and the entire sample.^ Only the random split estimator is conditionally (on $\\beta$) unbiased, however MSEP$\sb{\rm m}$ is unbiased on average and PRESS is nearly so in unselected (fixed form) models. When subset selection techniques are used, MSEP$\sb{\rm m}$ and PRESS always underestimate prediction errors, by as much as 27 percent (on average) in small samples. Despite their bias, the mean squared errors (MSE) of these estimators are at least 30 percent less than that of the unbiased random split estimator. The DUPLEX split estimator suffers from large MSE as well as bias, and seems of little value within the context of stochastic regressor variables.^ To maximize predictive accuracy while retaining a reliable estimate of that accuracy, it is recommended that the entire sample be used for model development, and a leave-one-out statistic (e.g. PRESS) be used for assessment. ^

Fate and effects of drilling wastes in a shallow estuarine mesocosm

To address concerns expressed about the possible effect of drilling mud discharges on shallow, low-energy estuarine ecosystems, a 12 month study was designed to detect alterations in water quality and sediment geochemistry. Each drilling mud used in the study and sediments from the study site were analyzed in the laboratory for chemical and physical characteristics. Potential water quality impacts were simulated by the EPA-COE elutriation test procedure. Mud toxicity was measured by acute and chronic bioassays with Mysidopsis bahia, Mercenaria mercenaria, and Nereis virens.^ For the field study, a relatively pristine, shallow (1.2 m) estuary (Christmas Bay, TX) without any drilling activity for the last 30 years was chosen for the study site. After a three month baseline study, three stations were selected. Station 1 was an external control. At each treatment station (2, 3), mesocosms were constructed to enclose a 3.5 m$\sp3$ water column. Each treatment station included an internal control site also. Each in situ mesocosm, except the controls, was successively dosed at a mesocosm-specific dose (1:100; 1:1,000; or 1:10,000 v/v) with 4 field collected drilling muds (spud, nondispersed, lightly-treated, and heavily-treated lignosulfonate) in sequential order over 1.5 months. Twenty-four hours after each dose, water exchange was allowed until the next treatment. Station 3 was destroyed by a winter storm. After the last treatment, the enclosures were removed and the remaining sites monitored for 6 months. One additional site was similarly dosed (1:100 v/v) with clean dredged sediment from Christmas Bay for comparison between dredged sediments and drilling muds.^ Results of the analysis of the water samples and field measurements showed that water quality was impacted during the discharges, primarily at the highest dose (1:100 v/v), but that elevated levels of C, Cr (T,F), Cr$\sp{+3}$ (T, F), N, Pb, and Zn returned to ambient levels before the end of the 24 hour exposure period or immediately after water exchange was allowed (Al, Ba(T), Chlorophyll ABC, SS, %T). Barium, from the barite, was used as a geochemical tracer in the sediments to confirm estimated doses by mass balance calculations. Barium reached a maximum of 166x background levels at the high dose mesocosm. Barium levels returned to ambient or only slightly elevated levels at the end of the 6 month monitoring period due to sediment deposition, resuspension, and bioturbation. QA/QC results using blind samples consisting of lab standards and spiked samples for both water and sediment matrices were within acceptable coefficients of variation.^ In order to avoid impacts on water quality and sediment geochemistry in a shallow estuarine ecosystem, this study concluded that a minimal dilution of 1:1,000 (v/v) would be required in addition to existing regulatory constraints. ^