| Functional Genomic Analysis Reveals Cross-talk between Peroxisome Proliferator-activated Receptor � and Calcium Signaling in Human Colorectal Cancer Cells *□S (2008) | |||||||||||||
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| and anchorage-independent growth and invasion through Matrigel-coated transwell membranes. We carried out a longitudinal two-class microarray analysis in which mRNA abundance was measured as a function of time in cells treated with a thiazolidinedione PPAR � agonist or vehicle. A statistical machine learning algorithm that employs an empirical Bayesian implementation of the multivariate HotellingT2 score was used to identify differentially regulated genes. HotellingT2 scores, MB statistics, and maximum median differences were used as figures of merit to interrogate genomic ontology of these targets. Three major cohorts of genes were regulated: those involved in metabolism, DNA replication, and migration/motility, reflecting the cellular phenotype that attends activation of PPAR�. The bioinformatic analysis also inferred that PPAR � regulates calcium signaling. This response was unanticipated, because calcium signaling has not previously | |||||||||||||
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