Unknown

Dataset Information

0

Global Analysis of Enhancer Targets Reveals Convergent Enhancer-Driven Regulatory Modules.


ABSTRACT: Single-cell screens enable high-throughput functional assessment of enhancers in their endogenous genomic context. However, the design of current studies limits their application to identifying the primary gene targets of enhancers. Here, we improve the experimental and computational parameters of single-cell enhancer screens to identify the secondary gene targets of enhancers. Our analysis of >500 putative enhancers in K562 cells reveals an interwoven enhancer-driven gene regulatory network. We find that enhancers from distinct genomic loci converge to modulate the expression of common sub-modules, including the ?- and ?-globin loci, by directly regulating transcription factors. Our analysis suggests that several genetic variants associated with myeloid blood cell traits alter the activity of a distal enhancer of MYB (?140 kb away), with downstream consequences on hemoglobin genes expression and cell state. These data have implications for the understanding of enhancer-associated traits and emphasize the flexibility of controlling transcriptional systems by modifying enhancer activity.

SUBMITTER: Xie S 

PROVIDER: S-EPMC6904118 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Global Analysis of Enhancer Targets Reveals Convergent Enhancer-Driven Regulatory Modules.

Xie Shiqi S   Armendariz Daniel D   Zhou Pei P   Duan Jialei J   Hon Gary C GC  

Cell reports 20191101 9


Single-cell screens enable high-throughput functional assessment of enhancers in their endogenous genomic context. However, the design of current studies limits their application to identifying the primary gene targets of enhancers. Here, we improve the experimental and computational parameters of single-cell enhancer screens to identify the secondary gene targets of enhancers. Our analysis of >500 putative enhancers in K562 cells reveals an interwoven enhancer-driven gene regulatory network. We  ...[more]

Similar Datasets

| PRJNA532921 | ENA
2019-10-31 | GSE129837 | GEO
| S-EPMC5859501 | biostudies-literature
| S-EPMC4530868 | biostudies-literature
| S-EPMC7847679 | biostudies-literature
2019-10-31 | GSE129826 | GEO
| PRJNA532919 | ENA
| S-EPMC6853883 | biostudies-literature
| S-EPMC2394749 | biostudies-literature
| S-EPMC7295631 | biostudies-literature