Evidence map›Paper›PMID 27895109›Full record

ArticleGenome research2017

Enhancers and super-enhancers have an equivalent regulatory role in embryonic stem cells through regulation of single or multiple genes.

Sakthi D Moorthy, Scott Davidson, Virlana M Shchuka, Gurdeep Singh, Nakisa Malek-Gilani, Lida Langroudi, Alexandre Martchenko, Vincent So, Neil N Macpherson, Jennifer A Mitchell

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

121 citing papers in PubMed, 203 citations in OpenAlex.

  1. The role ofEpigenetics · 2026
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  18. Benchmarking tools for transcription factor prioritization.Computational and structural biotechnology journal · 2024
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61 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Sakthi D MoorthyDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada.
Scott DavidsonDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada.
Virlana M ShchukaDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada.
Gurdeep SinghDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada.
Nakisa Malek-GilaniDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada.
Lida LangroudiDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada.
Alexandre MartchenkoDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada.
Vincent SoDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada.
Neil N MacphersonDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada.
Jennifer A MitchellDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada.
University of Toronto · CA

Funding

CIHR 111214
6 · The paper itself

Abstract

Transcriptional enhancers are critical for maintaining cell-type-specific gene expression and driving cell fate changes during development. Highly transcribed genes are often associated with a cluster of individual enhancers such as those found in locus control regions. Recently, these have been termed stretch enhancers or super-enhancers, which have been predicted to regulate critical cell identity genes. We employed a CRISPR/Cas9-mediated deletion approach to study the function of several enhancer clusters (ECs) and isolated enhancers in mouse embryonic stem (ES) cells. Our results reveal that the effect of deleting ECs, also classified as ES cell super-enhancers, is highly variable, resulting in target gene expression reductions ranging from 12% to as much as 92%. Partial deletions of these ECs which removed only one enhancer or a subcluster of enhancers revealed partially redundant control of the regulated gene by multiple enhancers within the larger cluster. Many highly transcribed genes in ES cells are not associated with a super-enhancer; furthermore, super-enhancer predictions ignore 81% of the potentially active regulatory elements predicted by cobinding of five or more pluripotency-associated transcription factors. Deletion of these additional enhancer regions revealed their robust regulatory role in gene transcription. In addition, select super-enhancers and enhancers were identified that regulated clusters of paralogous genes. We conclude that, whereas robust transcriptional output can be achieved by an isolated enhancer, clusters of enhancers acting on a common target gene act in a partially redundant manner to fine tune transcriptional output of their target genes.

Indexed as

Transcription, GeneticAnimalsCell DifferentiationCRISPR-Cas SystemsEnhancer Elements, GeneticGene DeletionGene Expression Regulation, DevelopmentalMiceMouse Embryonic Stem Cells

Identifiers

PMID27895109
PMCPMC5287230
OpenAlexW2557493613

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.