增强子
发起人
增强子rna
生物
基因
增强剂陷阱
遗传学
人类基因组
抄写(语言学)
基因表达调控
RNA聚合酶Ⅱ
调节顺序
转录因子
基因组
计算生物学
基因表达
语言学
哲学
作者
Drew T. Bergman,Thouis R. Jones,Vincent Liu,Judhajeet Ray,Evelyn Jagoda,Layla Siraj,Helen Y. Kang,Joseph Nasser,Michael Kane,Antonio Ray Rios,Tung H. Nguyen,Sharon R. Grossman,Charles P. Fulco,Eric S. Lander,J Engreitz
出处
期刊:Nature
[Springer Nature]
日期:2022-05-20
卷期号:607 (7917): 176-184
被引量:99
标识
DOI:10.1038/s41586-022-04877-w
摘要
Gene regulation in the human genome is controlled by distal enhancers that activate specific nearby promoters1. A proposed model for this specificity is that promoters have sequence-encoded preferences for certain enhancers, for example, mediated by interacting sets of transcription factors or cofactors2. This ‘biochemical compatibility’ model has been supported by observations at individual human promoters and by genome-wide measurements in Drosophila3–9. However, the degree to which human enhancers and promoters are intrinsically compatible has not yet been systematically measured, and how their activities combine to control RNA expression remains unclear. Here we design a high-throughput reporter assay called enhancer × promoter self-transcribing active regulatory region sequencing (ExP STARR-seq) and applied it to examine the combinatorial compatibilities of 1,000 enhancer and 1,000 promoter sequences in human K562 cells. We identify simple rules for enhancer–promoter compatibility, whereby most enhancers activate all promoters by similar amounts, and intrinsic enhancer and promoter activities multiplicatively combine to determine RNA output (R2 = 0.82). In addition, two classes of enhancers and promoters show subtle preferential effects. Promoters of housekeeping genes contain built-in activating motifs for factors such as GABPA and YY1, which decrease the responsiveness of promoters to distal enhancers. Promoters of variably expressed genes lack these motifs and show stronger responsiveness to enhancers. Together, this systematic assessment of enhancer–promoter compatibility suggests a multiplicative model tuned by enhancer and promoter class to control gene transcription in the human genome. A new high-throughput assay applied to 1,000 enhancers and 1,000 promoters in human cells reveals how different classes of enhancers and promoters control RNA expression.
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