Systems Biology of Glucocorticoids in Muscle Disease
Annual rept. 21 Sep 2009-20 Sep 2010
CHILDREN'S RESEARCH INST WASHINGTON DC
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We have successfully developed and tested the computational genetic network reconstruction algorithms proposed in Aim 1a. Using simulation data, we showed that methods are very effective in reducing noise and estimating regulatory strength and relationship among genes. We believe that our proposed methods are very suitable to the analysis of in vivo transcriptional microarray time series data where various sources of variability in the biological experiments lead to enormous amount of noise. We have been working on identifying gene modules that have significant and distinct change pattern due to the stimulation of glucocorticoids. This step may significantly alleviate the curse of dimensionality. We performed pilot studies on repeated myotoxin injection, BrdU labeling and assessing fiber size distribution in damaged muscle. The results from these experiments are very important and valuable to our ongoing and future study and experiments.
- Genetic Engineering and Molecular Biology
- Medicine and Medical Research