A urokinase receptor promoter element (-152/-135) bound with an AP-2-alpha-related protein and SP1 is required for the induction of gene expression by PMA and SRC

The urokinase-type plasminogen activator receptor (u-PAR) promotes extracellular matrix degradation, invasion and metastasis. A first objective of this dissertation was to identify cis-elements and trans-acting factors activating u-PAR gene expression through a previously footprinted (–148/–124) promoter region. Mobility shifting experiments on nuclear extracts of a high u-PAR-expressing colon cancer cell line (RKO) indicated Sp1, Sp3 and a factor similar to, but distinct from, AP-2α bound to an oligonucleotide spanning –152/–135. Mutations preventing the binding of the AP-2α-related factor reduced u-PAR promoter activity. In RKO, the expression of a dominant negative AP-2 (AP-2αB) diminished u-PAR promoter activity, protein and u-PAR mediated laminin degradation. Conversely, u-PAR promoter activity in low u-PAR-expressing GEO cells was increased by AP-2αA expression. PMA treatment, which induces u-PAR expression, caused an increased amount of the AP-2α-related factor-containing complex in GEO, and mutations preventing AP-2α-like and Sp1/Sp3 binding reduced the u-PAR promoter stimulation by PMA. In resected colon cancers, u-PAR protein amounts were related to the amount of the AP-2α-related factor-containing complex. In conclusion, constitutive and PMA- inducible u-PAR gene expression and -proteolysis are mediated partly through transactivation via a promoter sequence (–152/435) bound with an AP-2α-related factor and Sp1/Sp3. ^ A second interest of this dissertation was to determine if a constitutively active Src regulates the transcription of the u-PAR gene, since c-src expression increases invasion in colon cancer. Increased u-PAR protein and laminin degradation paralleling elevated Src activity was evident in SW480 colon cancer cells stably expressing a constitutively active Src (Y- c-src527F). Nuclear run-on experiments indicated that this was due largely to transcriptional activation. While transient transfection of SW480 cells with Y-c-src527F induced a u-PAR-CAT-reporter, mutations preventing Sp1-binding to promoter region –152/435 abolished this induction. Mobility shift assays revealed increased Sp1 binding to region –152/135 with nuclear extracts of Src-transfected SW480 cells. Finally, the amounts of endogenous u-PAR in resected colon cancers significantly correlated with Src-activity. These data suggest that u-PAR gene expression and proteolysis are regulated by Src, this requiring the promoter region (–152/–135) bound with Sp1, thus, demonstrating for the first time that transcription factor Sp1 is a downstream effector of Src. ^

The application of principal component analysis on human development indicators: Temporal approach from 1999 to 2010

Background and Objective. Ever since the human development index was published in 1990 by the United Nations Development Programme (UNDP), many researchers started searching and corporative studying for more effective methods to measure the human development. Published in 1999, Lai’s “Temporal analysis of human development indicators: principal component approach” provided a valuable statistical way on human developmental analysis. This study presented in the thesis is the extension of Lai’s 1999 research. ^ Methods. I used the weighted principal component method on the human development indicators to measure and analyze the progress of human development in about 180 countries around the world from the year 1999 to 2010. The association of the main principal component obtained from the study and the human development index reported by the UNDP was estimated by the Spearman’s rank correlation coefficient. The main principal component was then further applied to quantify the temporal changes of the human development of selected countries by the proposed Z-test. ^ Results. The weighted means of all three human development indicators, health, knowledge, and standard of living, were increased from 1999 to 2010. The weighted standard deviation for GDP per capita was also increased across years indicated the rising inequality of standard of living among countries. The ranking of low development countries by the main principal component (MPC) is very similar to that by the human development index (HDI). Considerable discrepancy between MPC and HDI ranking was found among high development countries with high GDP per capita shifted to higher ranks. The Spearman’s rank correlation coefficient between the main principal component and the human development index were all around 0.99. All the above results were very close to outcomes in Lai’s 1999 report. The Z test result on temporal analysis of main principal components from 1999 to 2010 on Qatar was statistically significant, but not on other selected countries, such as Brazil, Russia, India, China, and U.S.A.^ Conclusion. To synthesize the multi-dimensional measurement of human development into a single index, the weighted principal component method provides a good model by using the statistical tool on a comprehensive ranking and measurement. Since the weighted main principle component index is more objective because of using population of nations as weight, more effective when the analysis is across time and space, and more flexible when the countries reported to the system has been changed year after year. Thus, in conclusion, the index generated by using weighted main principle component has some advantage over the human development index created in UNDP reports.^