BioMed Central Medical Genomics
Genes do not act in isolation but instead as part of complex regulatory networks. To understand how breast tumors adapt to the presence of the drug letrozole, at the molecular level, it is necessary to consider how the expression levels of genes in these networks change relative to one another. Using transcriptomic data generated from sequential tumor biopsy samples, taken at diagnosis, following 10-14 days and following 90 days of letrozole treatment, and a pairwise partial orrelation statistic, we build temporal gene coexpression networks. We characterize the structure of each network and identify genes that hold prominent positions for maintaining network integrity and controlling information-flow.
Penrod, Nadia M. and Moore, Jason H., "Key Genes for Modulating Information Flow Play a Temporal Role as Breast Tumor Coexpression Networks are Dynamically Rewired by Letrozole" (2013). Open Dartmouth: Faculty Open Access Scholarship. 638.