CINRG: Systems Biology of Glucocorticoids in Muscle Disease

Abstract

We developed two computational network reconstruction methods, linear state space model and dynamic Bayesian network, to infer transcriptional networks using the rat acute transcriptional time series of bolus administration of glucocorticoids. This time series was re-profiled using Illumina gene expression BeadChip for a much broader coverage. We have successfully used staged injection models to induce asynchronous regenerations in normal mouse muscles. Using laser capture microscopy and gene expression microarray profiling, we extensively analyzed muscle tissues dissected from the injection sites and in between regions in the 4 day and 10 day reinjury series. The results showed inappropriate crosstalk in the muscles from in between areas due to neighboring asynchronous regenerations in both injection series. We showed that daily administration of Prednisolone suppressed inappropriate crosstalk in the muscle regions between asynchronously remodeling areas. We have been awarded several new grants focusing on studying glucocorticoid mechanism in treating DMD and asthma. Two doctoral students graduated or are graduating under partial support from this grant.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2013
Accession Number
ADA594898

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  • Zuyi Wang

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