Quantitatively predictable control of Drosophila transcriptional enhancers in vivo with engineered transcription factors

被引:26
作者
Crocker, Justin [1 ]
Ilsley, Garth R. [2 ]
Stern, David L. [1 ]
机构
[1] Howard Hughes Med Inst, Janelia Res Campus, Ashburn, VA USA
[2] Grad Univ, Okinawa Inst Sci & Technol, Onna, Japan
关键词
CELL RNA-SEQ; PAIR-RULE STRIPES; GENE-EXPRESSION; POSITIONAL INFORMATION; REPRESSOR; REVEALS; BINDING; EVOLUTION; MODEL; SPECIFICITY;
D O I
10.1038/ng.3509
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Genes are regulated by transcription factors that bind to regions of genomic DNA called enhancers. Considerable effort is focused on identifying transcription factor binding sites, with the goal of predicting gene expression from DNA sequence. Despite this effort, general, predictive models of enhancer function are currently lacking. Here we combine quantitative models of enhancer function with manipulations using engineered transcription factors to examine the extent to which enhancer function can be controlled in a quantitatively predictable manner. Our models, which incorporate few free parameters, can accurately predict the contributions of ectopic transcription factor inputs. These models allow the predictable 'tuning' of enhancers, providing a framework for the quantitative control of enhancers with engineered transcription factors.
引用
收藏
页码:292 / 298
页数:7
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