The pluripotency control regions (PluCRs) are defined as genomic regions that are bound by POU5F1, SOX2, and NANOG in vivo. We utilized a high-throughput binding assay to record more than 270,000 different DNA/protein binding measurements along incrementally tiled windows of DNA within these PluCRs. This high-resolution binding map is then used to systematically define the context of POU factor binding, and reveals patterns of cooperativity and competition in the pluripotency network. The most prominent pattern is a pervasive binding competition between POU5F1 and the forkhead transcription factors. Like many transcription factors, POU5F1 is co-expressed with a paralog, POU2F1, that shares an apparently identical binding specificity. By analyzing thousands of binding measurements, we discover context effects that discriminate POU2F1 from POU5F1 binding. Proximal NANOG binding promotes POU5F1 binding, whereas nearby SOX2 binding favors POU2F1. We demonstrate by cross-species comparison and by chromatin immunoprecipitation (ChIP) that the contextual sequence determinants learned in vitro are sufficient to predict POU2F1 binding in vivo.
There are a variety of in vivo and in vitro methods to determine the genome-wide specificity of a particular trans-acting factor. However there is an inherent limitation to these candidate approaches. Most biological studies focus on the regulation of particular genes, which are bound by numerous unknown trans-acting factors. Therefore, most biological inquiries would be better addressed by a method that maps all trans-acting factors that bind particular regions rather than identifying all regions bound by a particular trans-acting factor. Here, we present a high-throughput binding assay that returns thousands of unbiased measurements of complex formation on nucleic acid. We applied this method to identify transcriptional complexes that form on DNA regions upstream of genes involved in pluripotency in embryonic stem cells (ES cells) before and after differentiation. The raw binding scores, motif analysis and expression data are used to computationally reconstruct remodeling events returning the identity of the transcription factor(s) most likely to comprise the complex. The most significant remodeling event during ES cell differentiation occurred upstream of the REST gene, a transcriptional repressor that blocks neurogenesis. We also demonstrate how this method can be used to discover RNA elements and discuss applications of screening polymorphisms for allelic differences in binding.
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