Evidence map›Paper›PMID 23955598›Full record

ArticleNature genetics2013

Mapping the fine structure of a eukaryotic promoter input-output function.

Arun S Rajkumar, Nicolas Dénervaud, Sebastian J Maerkl

Abstract read
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In one paragraph

Article in Nature genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Perfect adaptation achieved by transport limitations governs the inorganic phosphate response inProceedings of the National Academy of Sciences of the United States of America · 2023
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  4. Biology · 2021
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  6. Spatial Divergence ofPlant physiology · 2020
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  7. How affinity of the ELT-2 GATA factor binding toDevelopment (Cambridge, England) · 2020
    Article
  8. Review
  9. Cell-free gene-regulatory network engineering with synthetic transcription factors.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  10. Article
  11. Article
  12. Comprehensive, high-resolution binding energy landscapes reveal context dependencies of transcription factor binding.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. How motif environment influences transcription factor search dynamics: Finding a needle in a haystack.BioEssays : news and reviews in molecular, cellular and developmental biology · 2016
    Review
  19. Review
  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.

Arun S RajkumarInstitute of Bioengineering, School of Engineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Nicolas Dénervaud
Sebastian J Maerkl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The precise tuning of gene expression levels is essential for the optimal performance of transcriptional regulatory networks. We created 209 variants of the Saccharomyces cerevisiae PHO5 promoter to quantify how different binding sites for the transcription factor Pho4 affect its output. We found that transcription-factor binding affinities determined in vitro could quantitatively predict the output of a complex yeast promoter. Promoter output was precisely tunable by subtle changes in binding-site affinity of less than 3 kcal mol(-1), which are accessible by modifying 1-2 bases. Our results provide insights into how transcription-factor binding sites regulate gene expression, their possible evolution and how they can be used to precisely tune gene expression. More generally, we show that in vitro binding-energy landscapes of transcription factors can precisely predict the output of a native yeast promoter, indicating that quantitative models of transcriptional regulatory networks are feasible.

Indexed as

Promoter Regions, GeneticAcid PhosphataseBase SequenceBinding SitesDNA PrimersGenes, FungalSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsAcid PhosphataseDNA PrimersPHO5 protein, S cerevisiaeSaccharomyces cerevisiae Proteins

Identifiers

PMID23955598

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.