Evidence map›Paper›PMID 28024147›Full record

ArticleNature biotechnology2017

Genome-wide assessment of sequence-intrinsic enhancer responsiveness at single-base-pair resolution.

Cosmas D Arnold, Muhammad A Zabidi, Michaela Pagani, Martina Rath, Katharina Schernhuber, Tomáš Kazmar, Alexander Stark

Abstract read
In one paragraph

Article in Nature biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Update on the genetics of allergic diseases.The Journal of allergy and clinical immunology · 2025
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Cosmas D ArnoldResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
Muhammad A ZabidiResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
Michaela PaganiResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
Martina RathResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
Katharina SchernhuberResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
Tomáš KazmarResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
Alexander StarkResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.

Funding

Austrian Science Fund FWF F 4303European Research Council 647320
6 · The paper itself

Abstract

Gene expression is controlled by enhancers that activate transcription from the core promoters of their target genes. Although a key function of core promoters is to convert enhancer activities into gene transcription, whether and how strongly they activate transcription in response to enhancers has not been systematically assessed on a genome-wide level. Here we describe self-transcribing active core promoter sequencing (STAP-seq), a method to determine the responsiveness of genomic sequences to enhancers, and apply it to the Drosophila melanogaster genome. We cloned candidate fragments at the position of the core promoter (also called minimal promoter) in reporter plasmids with or without a strong enhancer, transfected the resulting library into cells, and quantified the transcripts that initiated from each candidate for each setup by deep sequencing. In the presence of a single strong enhancer, the enhancer responsiveness of different sequences differs by several orders of magnitude, and different levels of responsiveness are associated with genes of different functions. We also identify sequence features that predict enhancer responsiveness and discuss how different core promoters are employed for the regulation of gene expression.

Indexed as

Transcription Initiation, GeneticAlgorithmsAnimalsBase PairingChromosome MappingDrosophila melanogasterEnhancer Elements, GeneticGene Expression RegulationPromoter Regions, GeneticSequence Analysis, DNASoftware

Identifiers

PMID28024147
PMCPMC5870828

What OpenQuestion holds

Textmetadata
LicenceTDM
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.