4.7 Article

Functional Dissection of the Enhancer Repertoire in Human Embryonic Stem Cells

Journal

CELL STEM CELL
Volume 23, Issue 2, Pages 276-+

Publisher

CELL PRESS
DOI: 10.1016/j.stem.2018.06.014

Keywords

-

Funding

  1. Medical Research Council (UK)
  2. Wellcome Trust
  3. EMBO [EMBO-ALTF 1272-2014]
  4. H2020 MSCA-IF
  5. DFG [HA 7723/1-1]
  6. Austrian Academy of Sciences
  7. ERC [679146]
  8. MRC [MR/K017047/1, MR/L018497/1] Funding Source: UKRI
  9. European Research Council (ERC) [679146] Funding Source: European Research Council (ERC)

Ask authors/readers for more resources

Enhancers are genetic elements that regulate spatiotemporal gene expression. Enhancer function requires transcription factor (TF) binding and correlates with histone modifications. However, the extent to which TF binding and histone modifications functionally define active enhancers remains unclear. Here, we combine chromatin immunoprecipitation with a massively parallel reporter assay (ChIP-STARR-seq) to identify functional enhancers in human embryonic stem cells (ESCs) genome-wide in a quantitative unbiased manner. Although active enhancers associate with TFs, only a minority of regions marked by NANOG, OCT4, H3K27ac, and H3K4me1 function as enhancers, with activity markedly changing under naive versus primed culture conditions. We identify an enhancer set associated with functions extending to non-ESC-specific processes. Moreover, although transposable elements associate with putative enhancers, only some exhibit activity. Similarly, within super-enhancers, large tracts are non-functional, with activity restricted to small sub-domains. This catalog of validated enhancers provides a valuable resource for further functional dissection of the regulatory genome.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available