增强子
生物
计算生物学
基因组
清脆的
基因
CRISPR干扰
染色质
基因表达调控
Cas9
遗传学
基因表达
作者
Charles P. Fulco,Joseph Nasser,Thouis R. Jones,Glen Munson,Drew T. Bergman,Vidya Subramanian,Sharon R. Grossman,Rockwell Anyoha,Benjamin R. Doughty,Tejal A. Patwardhan,Tung H. Nguyen,Michael Kane,Elizabeth M. Perez,Neva C. Durand,Caleb A. Lareau,Elena K. Stamenova,E Aiden,Eric S. Lander,J Engreitz
出处
期刊:Nature Genetics
[Springer Nature]
日期:2019-11-29
卷期号:51 (12): 1664-1669
被引量:773
标识
DOI:10.1038/s41588-019-0538-0
摘要
Enhancer elements in the human genome control how genes are expressed in specific cell types and harbor thousands of genetic variants that influence risk for common diseases1–4. Yet, we still do not know how enhancers regulate specific genes, and we lack general rules to predict enhancer–gene connections across cell types5,6. We developed an experimental approach, CRISPRi-FlowFISH, to perturb enhancers in the genome, and we applied it to test >3,500 potential enhancer–gene connections for 30 genes. We found that a simple activity-by-contact model substantially outperformed previous methods at predicting the complex connections in our CRISPR dataset. This activity-by-contact model allows us to construct genome-wide maps of enhancer–gene connections in a given cell type, on the basis of chromatin state measurements. Together, CRISPRi-FlowFISH and the activity-by-contact model provide a systematic approach to map and predict which enhancers regulate which genes, and will help to interpret the functions of the thousands of disease risk variants in the noncoding genome. Combining CRISPRi-FlowFISH to perturb enhancers with an activity-by-contact model to predict complex connections allows systematic mapping of enhancer–gene connections in a given cell type, on the basis of chromatin-state measurements.
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