Determination and Inference of Eukaryotic Transcription Factor Sequence Specificity

作者: Matthew T Weirauch , Ally Yang , Mihai Albu , Atina G Cote , Alejandro Montenegro-Montero

DOI: 10.1016/J.CELL.2014.08.009

关键词:

摘要: Transcription factor (TF) DNA sequence preferences direct their regulatory activity, but are currently known for only ∼1% of eukaryotic TFs. Broadly sampling DNA-binding domain (DBD) types from multiple clades, we determined >1,000 TFs encompassing 54 different DBD classes 131 diverse eukaryotes. We find that closely related DBDs almost always have very similar preferences, enabling inference motifs ∼34% the ∼170,000 or predicted Sequences matching both measured and inferred enriched in chromatin immunoprecipitation sequencing (ChIP-seq) peaks upstream transcription start sites lineages. SNPs defining expression quantitative trait loci Arabidopsis promoters also TF binding sites. Importantly, our motif “library” can be used to identify specific whose may altered by human disease risk alleles. These data present a powerful resource mapping transcriptional networks across

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