Computational modeling identifies key gene regulatory interactions underlying phenobarbital-mediated tumor promotion.

ABSTRACT: Gene regulatory interactions underlying the early stages of non-genotoxic carcinogenesis are poorly understood. Here, we have identified key candidate regulators of phenobarbital (PB)-mediated mouse liver tumorigenesis, a well-characterized model of non-genotoxic carcinogenesis, by applying a new computational modeling approach to a comprehensive collection of in vivo gene expression studies. We have combined our previously developed motif activity response analysis (MARA), which models gene expression patterns in terms of computationally predicted transcription factor binding sites with singular value decomposition (SVD) of the inferred motif activities, to disentangle the roles that different transcriptional regulators play in specific biological pathways of tumor promotion. Furthermore,

SUBMITTER: Luisier R 

PROVIDER: S-EPMC3985636 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature