Structural and functional studies of the human integrin $\alpha 4\beta 1$ (CD49d/CD29)

The integrin receptor $\alpha 4\beta 1$ is a cell surface heterodimer involved in a variety of highly regulated cellular interactions. The purpose of this dissertation was to identify and characterize unique structural and functional properties of the $\alpha 4\beta 1$ molecule that may be important for adhesion regulation and signal transduction. To study these properties and to establish a consensus sequence for the $\alpha 4$ subunit, cDNA encoding $\alpha 4$ was cloned and sequenced. A comparison with previously described human $\alpha 4$ sequences identified several substitutions in the $5\prime$ and $3\prime$ untranslated regions, and a nonsynonymous G to A transition in the coding region, resulting in a glutamine substitution for arginine. Further analysis of this single nucleotide substitution indicated that two variants of the $\alpha 4$ subunit exist, and when compared with three ancestrally-related species, the new form cloned in our laboratory was found to be evolutionarily conserved.^ The expression of $\alpha 4$ cDNA in transfected K562 erythroleukemia cells, and subsequent studies using flow cytofluorometric, immunochemical, and ligand binding/blocking analyses, confirmed $\alpha 4\beta 1$ as a receptor for fibronectin (FN) and vascular cell adhesion molecule-1 (VCAM-1), and provided a practical means of identifying two novel monoclonal antibody (mAb) binding epitopes on the $\alpha 4\beta 1$ complex that may play important roles in the regulation of leukocyte adhesion.^ To investigate the association of $\alpha 4\beta 1$-mediated adhesion with signals involved in the spreading of lymphocytes on FN, a quantitative method of analysis was developed using video microscopy and digital imaging. The results showed that HPB-ALL $(\alpha 4\beta 1\sp{\rm hi},\ \alpha 5\beta 1\sp-)$ cells could adhere and actively spread on human plasma FN, but not on control substrate. Many cell types which express different levels of the $\alpha 4\beta 1$ and $\alpha 5\beta 1$ FN binding integrins were examined for their ability to function in these events. Using anti-$\alpha 4$ and anti-$\alpha 5$ mAbs, it was determined that cell adhesion to FN was influenced by both $\beta 1$ integrins, while cell spreading was found to be dependent on the $\alpha 4\beta 1$ complex. In addition, inhibitors of phospholipase A$\sb2$ (PLA$\sb2$), 5-lipoxygenases, and cyclooxygenases blocked HPB-ALL cell spreading, yet had no effect on cell adhesion to FN, and the impaired spreading induced by the PLA$\sb2$ inhibitor cibacron blue was restored by the addition of exogenous arachidonic acid (AA). These results suggest that the interaction of $\alpha 4\beta 1$ with FN, the activation of PLA$\sb2,$ and the subsequent release of AA, may be involved in lymphocyte spreading. ^

External assessment of myocardial glucose metabolism with $\sp{18}$F-2 -deoxy-2 -fluoro-D-glucose

Despite the popularity of the positron emitting glucose analog, ($\sp{18}$F) -2-deoxy-2-fluoro-D-glucose (2FDG), for the noninvasive "metabolic imaging" of organs with positron emission tomography (PET), the physiological basis for the tracer has not been tested, and the potential of 2FDG for the rapid kinetic analysis of altered glucose metabolism in the intact heart has not been fully exploited. We, therefore, developed a quantitative method to characterize metabolic changes of myocardial glucose metabolism noninvasively and with high temporal resolution.^ The first objective of the work was to provide direct evidence that the initial steps in the metabolism of 2FDG are the same as for glucose and that 2FDG is retained by the tissue in proportion to the rate of glucose utilization. The second objective was to characterize the kinetic changes in myocardial glucose transport and phosphorylation in response to changes in work load, competing substrates, acute ischemia and reperfusion, and the addition of insulin. To assess changes in myocardial glucose metabolism isolated working rat hearts were perfused with glucose and 2FDG. Tissue uptake of 2FDG and the input function were measured on-line by external detection. The steady state rate of 2FDG phosphorylation was determined by graphical analysis of 2FDG time-activity curves.^ The rate of 2FDG uptake was linear with time and the tracer was retained in its phosphorylated form. Tissue accumulation of 2FDG decreased within seconds with a reduction in work load, in the presence of competing substrates, and during reperfusion after global ischemia. Thus, most interventions known to alter glucose metabolism induced rapid parallel changes in 2FDG uptake. By contrast, insulin caused a significant increase in 2FDG accumulation only in hearts from fasted animals when perfused at a sub-physiological work load. The mechanism for this phenomenon is not known but may be related to the existence of two different glucose transporter systems and/or glycogen metabolism in the myocardial cell.^ It is concluded that (1) 2FDG traces glucose uptake and phosphorylation in the isolated working rat heart; and (2) early and transient kinetic changes in glucose metabolism can be monitored with high temporal resolution with 2FDG and a simple positron coincidence counting system. The new method has revealed transients of myocardial glucose metabolism, which would have remained unnoticed with conventional methods. These transients are not only important for the interpretation of glucose metabolic PET scans, but also provide insights into mechanisms of glucose transport and phosphorylation in heart muscle. ^

Absolute quantitative real-time polymerase chain reaction for the measurement of human papillomavirus E7 mRNA in cervical cytobrush specimens.

BACKGROUND: Few reports of the utilization of an accurate, cost-effective means for measuring HPV oncogene transcripts have been published. Several papers have reported the use of relative quantitation or more expensive Taqman methods. Here, we report a method of absolute quantitative real-time PCR utilizing SYBR-green fluorescence for the measurement of HPV E7 expression in cervical cytobrush specimens. RESULTS: The construction of a standard curve based on the serial dilution of an E7-containing plasmid was the key for being able to accurately compare measurements between cervical samples. The assay was highly reproducible with an overall coefficient of variation of 10.4%. CONCLUSION: The use of highly reproducible and accurate SYBR-based real-time polymerase chain reaction (PCR) assays instead of performing Taqman-type assays allows low-cost, high-throughput analysis of viral mRNA expression. The development of such assays will help in refining the current screening programs for HPV-related carcinomas.

The coordinated approach to child health in underserved population (CATCH UP) curriculum: A quantitative evaluation of an innovative preschool obesity prevention program

Obesity has been on the rise in the United States over the last 30 years for all populations, including preschoolers. The purpose of the project was to develop an observation tool to measure physical activity levels in preschool children and use the tool in a pilot test of the CATCH UP curriculum at two Head Start Centers in Houston. Pretest and posttest interobserver agreements were all above 0.60 for physical activity level and physical activity type. Preschoolers spent the majority of their time in light physical activity (75.33% pretest, 87.77% posttest), and spent little time in moderate to vigorous physical activity (MVPA) (24.67% pretest, 12.23% posttest). Percent time spent in MVPA decreased significantly pretest to posttest from (F=5.738, p=0.043). While the pilot testing of the CATCH UP curriculum did not show an increase in MVPA, the SOFIT-P tool did show promising results as being a new method for collecting physical activity level data for preschoolers. Once the new tool has undergone more reliability and validity testing, it could allow for a more convenient method of collecting physical activity levels for preschoolers. ^

New methods for quantification and analysis of quantitative real-time polymerase chain reaction data

Quantitative real-time polymerase chain reaction (qPCR) is a sensitive gene quantitation method that has been widely used in the biological and biomedical fields. The currently used methods for PCR data analysis, including the threshold cycle (CT) method, linear and non-linear model fitting methods, all require subtracting background fluorescence. However, the removal of background fluorescence is usually inaccurate, and therefore can distort results. Here, we propose a new method, the taking-difference linear regression method, to overcome this limitation. Briefly, for each two consecutive PCR cycles, we subtracted the fluorescence in the former cycle from that in the later cycle, transforming the n cycle raw data into n-1 cycle data. Then linear regression was applied to the natural logarithm of the transformed data. Finally, amplification efficiencies and the initial DNA molecular numbers were calculated for each PCR run. To evaluate this new method, we compared it in terms of accuracy and precision with the original linear regression method with three background corrections, being the mean of cycles 1-3, the mean of cycles 3-7, and the minimum. Three criteria, including threshold identification, max R2, and max slope, were employed to search for target data points. Considering that PCR data are time series data, we also applied linear mixed models. Collectively, when the threshold identification criterion was applied and when the linear mixed model was adopted, the taking-difference linear regression method was superior as it gave an accurate estimation of initial DNA amount and a reasonable estimation of PCR amplification efficiencies. When the criteria of max R2 and max slope were used, the original linear regression method gave an accurate estimation of initial DNA amount. Overall, the taking-difference linear regression method avoids the error in subtracting an unknown background and thus it is theoretically more accurate and reliable. This method is easy to perform and the taking-difference strategy can be extended to all current methods for qPCR data analysis.^