Computational identification of transcriptional regulators in human endotoxemia.

ABSTRACT: One of the great challenges in the post-genomic era is to decipher the underlying principles governing the dynamics of biological responses. As modulating gene expression levels is among the key regulatory responses of an organism to changes in its environment, identifying biologically relevant transcriptional regulators and their putative regulatory interactions with target genes is an essential step towards studying the complex dynamics of transcriptional regulation. We present an analysis that integrates various computational and biological aspects to explore the transcriptional regulation of systemic inflammatory responses through a human endotoxemia model. Given a high-dimensional transcriptional profiling dataset from human blood leukocytes, an elementary set of temporal dynamic resp

SUBMITTER: Nguyen TT 

PROVIDER: S-EPMC3103499 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature