title: A quantitative model of transcriptional regulation reveals the influence of binding location on expression.
abstract: Understanding the mechanistic basis of transcriptional regulation has been a central focus of molecular biology since its inception. New high-throughput chromatin immunoprecipitation experiments have revealed that most regulatory proteins bind thousands of sites in mammalian genomes. However, the functional significance of these binding sites remains unclear. We present a quantitative model of transcriptional regulation that suggests the contribution of each binding site to tissue-specific gene expression depends strongly on its position relative to the transcription start site. For three cell types, we show that, by considering binding position, it is possible to predict relative expression levels between cell types with an accuracy approaching the level of agreement between different experimental platforms. Our model suggests that, for the transcription factors profiled in these cell types, a regulatory site's influence on expression falls off almost linearly with distance from the transcription start site in a 10 kilobase range. Binding to both evolutionarily conserved and non-conserved sequences contributes significantly to transcriptional regulation. Our approach also reveals the quantitative, tissue-specific role of individual proteins in activating or repressing transcription. These results suggest that regulator binding position plays a previously unappreciated role in influencing expression and blurs the classical distinction between proximal promoter and distal binding events.
authors.affiliation: Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
authors.forename: Kenzie D
authors.initials: KD
authors.lastname: MacIsaac
authors.forename: Kinyui A
authors.initials: KA
authors.lastname: Lo
authors.forename: William
authors.initials: W
authors.lastname: Gordon
authors.forename: Shmulik
authors.initials: S
authors.lastname: Motola
authors.forename: Tali
authors.initials: T
authors.lastname: Mazor
authors.forename: Ernest
authors.initials: E
authors.lastname: Fraenkel
mesh_terms: D041721:3T3-L1 Cells; D000465:Algorithms; D000818:Animals; D001665:Binding Sites; D050882:CREB-Binding Protein / Q000378:metabolism; D002531:Cerebellum / Q000378:metabolism; D017124:Conserved Sequence; D005786:Gene Expression Regulation; D008099:Liver / Q000378:metabolism; D008297:Male; D051379:Mice; D008810:Mice, Inbred C57BL; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis; D011485:Protein Binding; D050436:Regulatory Elements, Transcriptional; D014158:Transcription, Genetic
chemical_list: D050882:CREB-Binding Protein