Evidence map›Paper›PMID 24094406›Full record

ArticleBiophysical journal2013

Positive and negative design for nonconsensus protein-DNA binding affinity in the vicinity of functional binding sites.

Ariel Afek, David B Lukatsky

Abstract read
In one paragraph

Article in Biophysical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  3. bioRxiv : the preprint server for biology · 2023
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  13. Control of transcriptional pausing by biased thermal fluctuations on repetitive genomic sequences.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  14. Review
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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

2 authors.

Ariel AfekDepartment of Chemistry, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
David B Lukatsky

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent experiments provide an unprecedented view of protein-DNA binding in yeast and human genomes at single-nucleotide resolution. These measurements, performed over large cell populations, show quite generally that sequence-specific transcription regulators with well-defined protein-DNA consensus motifs bind only a fraction among all consensus motifs present in the genome. Alternatively, proteins in vivo often bind DNA regions lacking known consensus sequences. The rules determining whether a consensus motif is functional remain incompletely understood. Here we predict that genomic background surrounding specific protein-DNA binding motifs statistically modulates the binding of sequence-specific transcription regulators to these motifs. In particular, we show that nonconsensus protein-DNA binding in yeast is statistically enhanced, on average, around functional Reb1 motifs that are bound as compared to nonfunctional Reb1 motifs that are unbound. The landscape of nonconsensus protein-DNA binding around functional CTCF motifs in human demonstrates a more complex behavior. In particular, human genomic regions characterized by the highest CTCF occupancy, show statistically reduced level of nonconsensus protein-DNA binding. Our findings suggest that nonconsensus protein-DNA binding is fine-tuned around functional binding sites using a variety of design strategies.

Indexed as

Models, BiologicalAmino Acid MotifsBinding SitesCCCTC-Binding FactorDNADNA-Binding ProteinsHumansNucleotide MotifsProtein BindingRepressor ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsCCCTC-Binding FactorCTCF protein, humanDNADNA-Binding ProteinsREB1 protein, S cerevisiaeRepressor ProteinsSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID24094406
PMCPMC3822674

What OpenQuestion holds

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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.