期刊
NATURE REVIEWS GENETICS
卷 10, 期 7, 页码 443-456出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/nrg2591
关键词
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资金
- NIGMS NIH HHS [R01 GM058617-11, R01 GM054692, R01 GM054692-11, R01 GM058617] Funding Source: Medline
Complex transcriptional behaviours are encoded in the DNA sequences of gene regulatory regions. Advances in our understanding of these behaviours have been recently gained through quantitative models that describe how molecules such as transcription factors and nucleosomes interact with genomic sequences. An emerging view is that every regulatory sequence is associated with a unique binding affinity landscape for each molecule and, consequently, with a unique set of molecule-binding configurations and transcriptional outputs. We present a quantitative framework based on existing methods that unifies these ideas. This framework explains many experimental observations regarding the binding patterns of factors and nucleosomes and the dynamics of transcriptional activation. It can also be used to model more complex phenomena such as transcriptional noise and the evolution of transcriptional regulation.
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