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Functional diversity for REST (NRSF) is defined by in vivo binding affinity hierarchies at the DNA sequence level
Author(s) -
Alexander W. Bruce,
Andrés J. LópezContreras,
Paul Flicek,
Thomas A. Down,
Pawandeep Dhami,
Shane C. Dillon,
Christof Koch,
Cordelia F. Langford,
Ian Dunham,
Robert Andrews,
David Vetrie
Publication year - 2009
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.089086.108
Subject(s) - biology , genetics , transcription factor , dna , repressor , dna binding site , chromatin , sequence motif , binding site , transcription (linguistics) , computational biology , gene , microbiology and biotechnology , promoter , gene expression , linguistics , philosophy
The molecular events that contribute to, and result from, the in vivo binding of transcription factors to their cognate DNA sequence motifs in mammalian genomes are poorly understood. We demonstrate that variations within the DNA sequence motifs that bind the transcriptional repressor REST (NRSF) encode in vivo DNA binding affinity hierarchies that contribute to regulatory function during lineage-specific and developmental programs in fundamental ways. First, canonical sequence motifs for REST facilitate strong REST binding and control functional classes of REST targets that are common to all cell types, whilst atypical motifs participate in weak interactions and control those targets, which are cell- or tissue-specific. Second, variations in REST binding relate directly to variations in expression and chromatin configurations of REST's target genes. Third, REST clearance from its binding sites is also associated with variations in the RE1 motif. Finally, and most surprisingly, weak REST binding sites reside in DNA sequences that show the highest levels of constraint through evolution, thus facilitating their roles in maintaining tissue-specific functions. These relationships have never been reported in mammalian systems for any transcription factor.

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