Project description:Simple Markov model.
There are 3 disease states: Healthy, Sick, and Dead, where the Dead state is terminal.
The yearly transition probabilities are:
Healthy to Dead: 0.01; Healthy to Sick: 0.2 for Male and 0.1 for Female; Sick to Healthy: 0.1; Sick to Dead: 0.3.
The transition probability now depends on the cohort (Male or Female) and can be expressed as a function of a Boolean covariate Male.
Initial conditions: Healthy = (50 Male, 50 Female), Sick = (0,0) and Dead = (0,0).
Output: Number of men and women in each disease state for years 1-10.
Project description:To determine the transcriptomic effects of STAT5 loss on adipose tissue gene expression, we assessed inguinal white adipose tissue of 6-week old male and female control and adipocyte-specific STAT5 knockout mice using a Quant-Seq strategy.
Project description:Cardiac myocyte-specific ERalpha KO mice were generated to assess the role of ERα in the heart. Female ERαHKO mice displayed a modest cardiac phenotype, but unexpectedly, an the most striking obesity phenotype developed was obesity in female ERαHKO but not male ERαHKO mice. In female ERαHKO mice we identified cardiac dysfunction, mild glucose and insulin intolerance, and reduced ERα gene expression in skeletal muscle and white adipose tissue (WAT). RNA-seq analysis was conducted on the ventricles and WAT of male and female ERαHKO mice to further elucidate the transcriptomic alterations associated with the shift in metabolic profiles in the tissues of interest.
