Multiplatform genome-wide identification and modeling of functional human estrogen receptor binding sites.

ABSTRACT:

Background

Transcription factor binding sites (TFBS) impart specificity to cellular transcriptional responses and have largely been defined by consensus motifs derived from a handful of validated sites. The low specificity of the computational predictions of TFBSs has been attributed to ubiquity of the motifs and the relaxed sequence requirements for binding. We posited that the inadequacy is due to limited input of empirically verified sites, and demonstrated a multiplatform approach to constructing a robust model.

Results

Using the TFBS for the estrogen receptor (ER)alpha (estrogen response element [ERE]) as a model system, we extracted EREs from multiple molecular and genomic platforms whose binding to ERalpha has been experimentally confirmed or rejected. In silico analy

SUBMITTER: Vega VB 

PROVIDER: S-EPMC1794554 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature