Evidence map›Paper›PMID 29151363›Full record

ArticleGenome biology2017

Functional assessment of human enhancer activities using whole-genome STARR-sequencing.

Yuwen Liu, Shan Yu, Vineet K Dhiman, Tonya Brunetti, Heather Eckart, Kevin P White

Abstract read
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Quantifying the impact of genetic mutations on enhancer dynamics.bioRxiv : the preprint server for biology · 2025
    Article
  6. Review
  7. aBIOTECH · 2025
    Review
  8. Aberrant Enhancer Regulation, Phase Separation, and Autoimmune Diseases.Clinical reviews in allergy & immunology · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

5 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

6 authors.

Yuwen LiuInstitute for Genomics and Systems Biology, University of Chicago and Argonne National Laboratory, Chicago, IL, 60637, USA.
Shan YuInstitute for Genomics and Systems Biology, University of Chicago and Argonne National Laboratory, Chicago, IL, 60637, USA.
Vineet K DhimanInstitute for Genomics and Systems Biology, University of Chicago and Argonne National Laboratory, Chicago, IL, 60637, USA.
Tonya BrunettiInstitute for Genomics and Systems Biology, University of Chicago and Argonne National Laboratory, Chicago, IL, 60637, USA.
Heather EckartDepartment of Human Genetics, University of Chicago, Chicago, IL, 60637, USA.
Kevin P WhiteInstitute for Genomics and Systems Biology, University of Chicago and Argonne National Laboratory, Chicago, IL, 60637, USA. kpwhite@uchicago.edu.

Funding

Production Center for Mapping Regulatory Regions of the Human GenomeU54HG006996 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2012 to 2016
$14.6M
National Institutes of Health U54HG006996NHGRI NIH HHS U54 HG006996
6 · The paper itself

Abstract

backgroundGenome-wide quantification of enhancer activity in the human genome has proven to be a challenging problem. Recent efforts have led to the development of powerful tools for enhancer quantification. However, because of genome size and complexity, these tools have yet to be applied to the whole human genome.

resultsIn the current study, we use a human prostate cancer cell line, LNCaP as a model to perform whole human genome STARR-seq (WHG-STARR-seq) to reliably obtain an assessment of enhancer activity. This approach builds upon previously developed STARR-seq in the fly genome and CapSTARR-seq techniques in targeted human genomic regions. With an improved library preparation strategy, our approach greatly increases the library complexity per unit of starting material, which makes it feasible and cost-effective to explore the landscape of regulatory activity in the much larger human genome. In addition to our ability to identify active, accessible enhancers located in open chromatin regions, we can also detect sequences with the potential for enhancer activity that are located in inaccessible, closed chromatin regions. When treated with the histone deacetylase inhibitor, Trichostatin A, genes nearby this latter class of enhancers are up-regulated, demonstrating the potential for endogenous functionality of these regulatory elements.

conclusionWHG-STARR-seq provides an improved approach to current pipelines for analysis of high complexity genomes to gain a better understanding of the intricacies of transcriptional regulation.

Indexed as

Enhancer Elements, GeneticGenome, HumanGenomicsWhole Genome SequencingCell LineChromatinChromatin ImmunoprecipitationGenomic LibraryHigh-Throughput Nucleotide SequencingHumansChromatinEnhancersNon-coding regionsRegulatory elementsSTARR-seq

Identifiers

PMID29151363
PMCPMC5694901

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.