Evidence map›Paper›PMID 29605182›Full record

ArticleCell systems2018

Divergence in DNA Specificity among Paralogous Transcription Factors Contributes to Their Differential In Vivo Binding.

Ning Shen, Jingkang Zhao, Joshua L Schipper, Yuning Zhang, Tristan Bepler, Dan Leehr, John Bradley, John Horton, Hilmar Lapp, Raluca Gordan

Abstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. PoolParty: streamlined design of DNA sequence libraries in Python.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
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  9. Article
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  14. High UV damage and low repair, but not cytosine deamination, stimulate mutation hotspots at ETS binding sites in melanoma.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. bioRxiv : the preprint server for biology · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Ning ShenCenter for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA.
Jingkang ZhaoCenter for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA; Program in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708, USA.
Joshua L SchipperCenter for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA.
Yuning ZhangCenter for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Program in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708, USA.
Tristan BeplerCenter for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA.
Dan LeehrCenter for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA.
John BradleyCenter for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA.
John HortonCenter for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA.
Hilmar LappCenter for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA.
Raluca GordanCenter for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA; Department of Computer Science, Duke University, Durham, NC 27708, USA; Department of Molecular Genetics and Microbiology, Duke University, Durham, NC 27710, USA. Electronic address: raluca.gordan@duke.edu.

Funding

New methods for quantitative modeling of protein-DNA interactionsR01GM117106 · NIGMS · DUKE UNIVERSITY · PI GORDAN, RALUCA · 2015 to 2019
$1.8M
Data commons for 'omic, microscopy and analysis core facilitiesS10OD018164 · OD · DUKE UNIVERSITY · PI WRAY, GREGORY A. · 2014 to 2014
$598k
NIGMS NIH HHS R01 GM117106NIH HHS S10 OD018164
6 · The paper itself

Abstract

Paralogous transcription factors (TFs) are oftentimes reported to have identical DNA-binding motifs, despite the fact that they perform distinct regulatory functions. Differential genomic targeting by paralogous TFs is generally assumed to be due to interactions with protein co-factors or the chromatin environment. Using a computational-experimental framework called iMADS (integrative modeling and analysis of differential specificity), we show that, contrary to previous assumptions, paralogous TFs bind differently to genomic target sites even in vitro. We used iMADS to quantify, model, and analyze specificity differences between 11 TFs from 4 protein families. We found that paralogous TFs have diverged mainly at medium- and low-affinity sites, which are poorly captured by current motif models. We identify sequence and shape features differentially preferred by paralogous TFs, and we show that the intrinsic differences in specificity among paralogous TFs contribute to their differential in vivo binding. Thus, our study represents a step forward in deciphering the molecular mechanisms of differential specificity in TF families.

Indexed as

Models, GeneticBinding SitesGene Expression RegulationModels, MolecularNucleotide MotifsSequence Analysis, ProteinTranscription FactorsTranscription FactorsbHLHdifferential protein-DNA bindingdivergence in DNA specificityE2FETSgenetic variationiMADSparalogous transcription factorsRUNX

Identifiers

PMID29605182
PMCPMC6008103

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.