New systems biology and data integration approaches allow the rapid characterization of phylogentically conserved binding sites (promoter structures) that are shared among transcription factors controlling the expression of gene products that act together in the same biological context. Such methods can be used to find novel interacting molecules and explain mechanism of transcriptional regulation.
Here, we demonstrate such principles by applying them to functionally related genes and proteins important in Hypertension.
Genome-wide co-expression analysis together with an evolutionarily conserved promoter model generated a functional molecular network of Hypertension. Functional modular networks of chromogranins, catecholamins and transcription factors crucial for Hypertension effectively identified novel gene targets as well as transcription factors in human tissues. Novel gene targets were sequenced in human tissues and experimentally validated the method.