BioProject

We analyzed gene expression profiling by an bioinformatic approach to identify the stage-specific gene sets associated with neural differentiation of mESCs. More...

We analyzed gene expression profiling by an bioinformatic approach to identify the stage-specific gene sets associated with neural differentiation of mESCs. We exposed mESCs (B6G-2 cells) to titrated doses of retinoic acid (RA) for 4 days during embryoid body formation and then performed morphological analysis on day of differentiation (DoD) 8 and 29, or genomic microarray analysis on DoD 0, 2, 8 and 29. Microarray data were analyzed by clustering methods such as self-organizing map and principal component analysis. A gene network analysis for selected gene sets was then performed using Bayesian statistics to identify stage-specific gene expression signatures in response to RA. Overall design: 9 total samples: 1 vehcle, 8 Retinoic acid and two or three doses of each developmental stage(Day) [Vehicle Control (0.1% dimethyl sulfoxide), estradiol (1nM and 10nM), dehydrotestosterone (1nM and 10nM) bisphenol A (1pM and 100pM), triiodothyronine (1nM and 10nM), dexamethasone (1nM and 10nM), 2,3,7,8-tetrachlorodibenzo-p-dioxin (1nM and 10nM), 4(OH)-2’3,3’4’-5’-pentachlo biphenyls (1nM and 10nM), thalidomide (100nM and 0.01mM), bis(2-ethylhexyl)phthalate (0.001mM and 0.1mM), permethrin (100nM and 0.01mM), cyclopamine (100nM and 0.01mM), methoprene acid (0.001mM and 0.1mM)]; 1 Timepoint [48 hours]. Less...