Evidence map›Paper›PMID 29095143›Full record

ArticleeLife2017

Nuclear microenvironments modulate transcription from low-affinity enhancers.

Albert Tsai, Anand K Muthusamy, Mariana Rp Alves, Luke D Lavis, Robert H Singer, David L Stern, Justin Crocker

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing 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

81 citing papers in PubMed.

  1. Article
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  13. Transcription regulation by biomolecular condensates.Nature reviews. Molecular cell biology · 2025
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

21 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

7 authors.

Albert Tsai *Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.ORCID 0000-0002-1643-0780
Anand K MuthusamyJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Mariana Rp AlvesEuropean Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-0796-2101
Luke D LavisJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Robert H SingerJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.ORCID 0000-0002-6725-0093
David L SternJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.ORCID 0000-0002-1847-6483
Justin Crocker *Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.ORCID 0000-0002-5113-0476

Funding

Tools For Imaging the Functional Genome in Living Cells and TissuesU01EB021236 · NIBIB · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI DARZACQ, XAVIER, SINGER, ROBERT H · 2015 to 2017
$2.5M
Howard Hughes Medical InstituteNIBIB NIH HHS U01 EB021236
6 · The paper itself

Abstract

Transcription factors bind low-affinity DNA sequences for only short durations. It is not clear how brief, low-affinity interactions can drive efficient transcription. Here, we report that the transcription factor Ultrabithorax (Ubx) utilizes low-affinity binding sites in the

Indexed as

Enhancer Elements, GeneticTranscription, GeneticAnimalsDNADrosophila melanogasterDrosophila ProteinsHomeodomain ProteinsProtein BindingTranscription FactorsDNADrosophila ProteinsHomeodomain Proteinshth protein, DrosophilaTranscription FactorsUbx protein, DrosophilabiophysicschromosomesD. melanogastergenesHox geneslive imagingstructural biologysuper resolutiontranscriptional enhancerstranscription factors

Identifiers

PMID29095143
PMCPMC5695909

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.