Evidence map›Paper›PMID 26285121›Full record

ArticlePLoS computational biology2015

Nonconsensus Protein Binding to Repetitive DNA Sequence Elements Significantly Affects Eukaryotic Genomes.

Ariel Afek, Hila Cohen, Shiran Barber-Zucker, Raluca Gordân, David B Lukatsky

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
  5. Article
  6. Review
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  8. Article
  9. Article
  10. 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
  11. Article
  12. Article
  13. Review
  14. 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
  15. Article
  16. 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
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

5 authors at 2 institutions in 2 countries.

Ariel AfekDepartment of Chemistry, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Hila CohenDepartment of Chemistry, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Shiran Barber-ZuckerDepartment of Chemistry, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Raluca GordânCenter for Genomic and Computational Biology, Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America.
David B LukatskyDepartment of Chemistry, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Ben-Gurion University of the Negev · ILDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent genome-wide experiments in different eukaryotic genomes provide an unprecedented view of transcription factor (TF) binding locations and of nucleosome occupancy. These experiments revealed that a large fraction of TF binding events occur in regions where only a small number of specific TF binding sites (TFBSs) have been detected. Furthermore, in vitro protein-DNA binding measurements performed for hundreds of TFs indicate that TFs are bound with wide range of affinities to different DNA sequences that lack known consensus motifs. These observations have thus challenged the classical picture of specific protein-DNA binding and strongly suggest the existence of additional recognition mechanisms that affect protein-DNA binding preferences. We have previously demonstrated that repetitive DNA sequence elements characterized by certain symmetries statistically affect protein-DNA binding preferences. We call this binding mechanism nonconsensus protein-DNA binding in order to emphasize the point that specific consensus TFBSs do not contribute to this effect. In this paper, using the simple statistical mechanics model developed previously, we calculate the nonconsensus protein-DNA binding free energy for the entire C. elegans and D. melanogaster genomes. Using the available chromatin immunoprecipitation followed by sequencing (ChIP-seq) results on TF-DNA binding preferences for ~100 TFs, we show that DNA sequences characterized by low predicted free energy of nonconsensus binding have statistically higher experimental TF occupancy and lower nucleosome occupancy than sequences characterized by high free energy of nonconsensus binding. This is in agreement with our previous analysis performed for the yeast genome. We suggest therefore that nonconsensus protein-DNA binding assists the formation of nucleosome-free regions, as TFs outcompete nucleosomes at genomic locations with enhanced nonconsensus binding. In addition, here we perform a new, large-scale analysis using in vitro TF-DNA preferences obtained from the universal protein binding microarrays (PBM) for ~90 eukaryotic TFs belonging to 22 different DNA-binding domain types. As a result of this new analysis, we conclude that nonconsensus protein-DNA binding is a widespread phenomenon that significantly affects protein-DNA binding preferences and need not require the presence of consensus (specific) TFBSs in order to achieve genome-wide TF-DNA binding specificity.

Indexed as

AnimalsBase SequenceBinding SitesCaenorhabditis elegansComputational BiologyDNADNA-Binding ProteinsDrosophila melanogasterGenomeModels, GeneticMolecular Sequence DataProtein BindingRepetitive Sequences, Nucleic AcidThermodynamicsTranscription FactorsDNADNA-Binding ProteinsTranscription Factors

Identifiers

PMID26285121
PMCPMC4540582
OpenAlexW1507037123

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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.