Base-resolution methylation patterns accurately predict transcription factor bindings in vivo

ABSTRACT: Detecting in vivo transcription factor (TF) binding is important for understanding gene regulatory circuitries. ChIP-seq is a powerful technique to empirically define TF binding in vivo. However, the multitude of distinct TFs makes genome-wide profiling for them all labor-intensive and costly. Algorithms for in silico prediction of TF binding have been developed, based mostly on histone modification or DNase I hypersensitivity data in conjunction with DNA motif and other genomic features. However, technical limitations of these methods prevent them from being applied broadly, especially in clinical settings. We conducted a comprehensive survey involving multiple cell lines, TFs, and methylation types and found that there are intimate relationships between TF binding and methylation level c

ORGANISM(S): Mus musculus

SUBMITTER: Bing Yao 

PROVIDER: E-GEOD-65093 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress