Predicting spatial and temporal gene expression using an integrative model of transcription factor occupancy and chromatin state.

ABSTRACT: Precise patterns of spatial and temporal gene expression are central to metazoan complexity and act as a driving force for embryonic development. While there has been substantial progress in dissecting and predicting cis-regulatory activity, our understanding of how information from multiple enhancer elements converge to regulate a gene's expression remains elusive. This is in large part due to the number of different biological processes involved in mediating regulation as well as limited availability of experimental measurements for many of them. Here, we used a Bayesian approach to model diverse experimental regulatory data, leading to accurate predictions of both spatial and temporal aspects of gene expression. We integrated whole-embryo information on transcription factor recruitment

SUBMITTER: Wilczynski B 

PROVIDER: S-EPMC3516547 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature