Evidence map›Paper›PMID 26446758›Full record

ReviewCritical reviews in biochemistry and molecular biology2015

Demystifying the secret mission of enhancers: linking distal regulatory elements to target genes.

Lijing Yao, Benjamin P Berman, Peggy J Farnham

Open access · bronzeAbstract readReview
In one paragraph

Review in Critical reviews in biochemistry and molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

55 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Derepression of transposable elements in the mouse prefrontal cortex disrupts social behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

3 authors at 2 institutions in 1 country.

Lijing Yaoa Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California , Los Angeles , CA , USA and.
Benjamin P Bermanb Department of Biomedical Sciences , Bioinformatics and Computational Biology Research Center, Cedars-Sinai Medical Center , Los Angeles , CA , USA.
Peggy J Farnhama Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California , Los Angeles , CA , USA and.
University of Southern California · USCedars-Sinai Medical Center · US

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
Production Center for Mapping Regulatory Regions of the Human GenomeU54HG006996 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2012 to 2016
$14.6M
Integrated Epigenetic Maps of Human Embryonic and Adult CellsU01ES017154 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COSTELLO, JOSEPH F, MARRA, MARCO ANTONIO · 2008 to 2012
$11.6M
Prostate Cancer Risk EnhancersR01CA136924 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI COETZEE, GERHARD A, FARNHAM, PEGGY J · 2010 to 2019
$5.4M
The USC PsychENCODE ProjectU01MH103346 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FARNHAM, PEGGY J, KNOWLES, JAMES A · 2014 to 2017
$2.4M
Software Tools For Regulatory Analysis of Large Cancer Methylome DatasetsU01CA184826 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BERMAN, BENJAMIN P · 2014 to 2016
$1.1M
NCI NIH HHS 1U01CA184826NCI NIH HHS P30 CA014089NCI NIH HHS P30CA014089NCI NIH HHS R01 CA136924NCI NIH HHS R01CA136924NCI NIH HHS U01 CA184826NHGRI NIH HHS U54 HG006996NHGRI NIH HHS U54HG006996NIEHS NIH HHS 1U01ES017154NIEHS NIH HHS U01 ES017154NIMH NIH HHS U01 MH103346PHS HHS RMH103346A
6 · The paper itself

Abstract

Enhancers are short regulatory sequences bound by sequence-specific transcription factors and play a major role in the spatiotemporal specificity of gene expression patterns in development and disease. While it is now possible to identify enhancer regions genomewide in both cultured cells and primary tissues using epigenomic approaches, it has been more challenging to develop methods to understand the function of individual enhancers because enhancers are located far from the gene(s) that they regulate. However, it is essential to identify target genes of enhancers not only so that we can understand the role of enhancers in disease but also because this information will assist in the development of future therapeutic options. After reviewing models of enhancer function, we discuss recent methods for identifying target genes of enhancers. First, we describe chromatin structure-based approaches for directly mapping interactions between enhancers and promoters. Second, we describe the use of correlation-based approaches to link enhancer state with the activity of nearby promoters and/or gene expression. Third, we describe how to test the function of specific enhancers experimentally by perturbing enhancer-target relationships using high-throughput reporter assays and genome editing. Finally, we conclude by discussing as yet unanswered questions concerning how enhancers function, how target genes can be identified, and how to distinguish direct from indirect changes in gene expression mediated by individual enhancers.

Indexed as

Enhancer Elements, GeneticGene Expression RegulationPromoter Regions, GeneticAnimalsChromatinEpigenomicsHumansTranscriptomeChromatinChromatin interactionscomputational toolsenhancersgene expressiongenome editing

Identifiers

PMID26446758
PMCPMC4666684
OpenAlexW2187061487

What OpenQuestion holds

Textmetadata
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.