Study / S1WYHNDVJ2013-07-01
Massively parallel in vivo enhancer assay reveals that highly local features determine the cis-regulatory function of ChIP-seq peaks
Michael A. White, Connie A. Myers, Joseph C. Corbo, Barak A. Cohen
About this study
Transcription factors (TFs) recognize short sequence motifs that are present in millions of copies in large eukaryotic genomes. TFs must distinguish their target binding sites from a vast genomic excess of spurious motif occurrences; however, it is unclear whether functional sites are distinguished from nonfunctional motifs by local primary sequence features or by the larger genomic context in which motifs reside. We used a massively parallel enhancer assay in living mouse retinas to compare 1,300 sequences bound in the genome by the photoreceptor transcription factor Cone-rod homeobox (Crx), to 3,000 control sequences. We found that very short sequences bound in the genome by Crx activated transcription at high levels, whereas unbound genomic regions with equal numbers of Crx motifs did not activate above background levels, even when liberated from their larger genomic context. High local GC content strongly distinguishes bound motifs from unbound motifs across the entire genome. Our results show that the cis-regulatory potential of TF-bound DNA is determined largely by highly local sequence features and not by genomic context.
Full author list & citation
Michael A. White, Connie A. Myers, Joseph C. Corbo, Barak A. Cohen. Massively parallel in vivo enhancer assay reveals that highly local features determine the cis-regulatory function of ChIP-seq peaks. 2013-07-01. https://doi.org/10.1073/pnas.1307449110
Experiments 1
E2WRC60LH
A pooled library of 4,333 distinct 84-bp genomic or control CRE sequences, each represented by three independent 9-bp barcodes, was cloned upstream of a photoreceptor-specific Rhodopsin minimal promoter-DsRed reporter and electroporated into six explanted newborn mouse retina replicates. Reporter RNA barcode abundance was normalized to the plasmid DNA library to quantify sequence-level cis-regulatory activity.