Evidence map›Paper›PMID 22496663›Full record

ArticlePLoS genetics2012

Probing the informational and regulatory plasticity of a transcription factor DNA-binding domain.

Ryan K Shultzaberger, Sebastian J Maerkl, Jack F Kirsch, Michael B Eisen

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2012. 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
1.9field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Disparate Dynamics of Gene Body andPlants (Basel, Switzerland) · 2021
    Article
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  4. Review
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  12. Article
  13. An evolutionary perspective on protein moonlighting.Biochemical Society transactions · 2014
    Review
  14. Article
  15. Article
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  17. 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

4 authors at 3 institutions in 2 countries.

Ryan K ShultzabergerDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, California, United States of America.
Sebastian J Maerkl
Jack F Kirsch
Michael B Eisen
University of California, Berkeley · USÉcole Polytechnique Fédérale de Lausanne · CHHoward Hughes Medical Institute · US

Funding

Modeling the Evolution and Function of Drosophila cis-Regulatory ModulesR01HG002779 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI EISEN, MICHAEL BRUCE · 2003 to 2012
$5.3M
SITE DIRECTED MUTAGENESIS OF ASPARTATE AMINO TRANSFERASER01GM035393 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI KIRSCH, JACK F · 1985 to 2006
$2.4M
Howard Hughes Medical InstituteNHGRI NIH HHS HG002779NHGRI NIH HHS R01 HG002779NIGMS NIH HHS GM35393NIGMS NIH HHS R01 GM035393
6 · The paper itself

Abstract

Transcription factors have two functional constraints on their evolution: (1) their binding sites must have enough information to be distinguishable from all other sequences in the genome, and (2) they must bind these sites with an affinity that appropriately modulates the rate of transcription. Since both are determined by the biophysical properties of the DNA-binding domain, selection on one will ultimately affect the other. We were interested in understanding how plastic the informational and regulatory properties of a transcription factor are and how transcription factors evolve to balance these constraints. To study this, we developed an in vivo selection system in Escherichia coli to identify variants of the helix-turn-helix transcription factor MarA that bind different sets of binding sites with varying degrees of degeneracy. Unlike previous in vitro methods used to identify novel DNA binders and to probe the plasticity of the binding domain, our selections were done within the context of the initiation complex, selecting for both specific binding within the genome and for a physiologically significant strength of interaction to maintain function of the factor. Using MITOMI, quantitative PCR, and a binding site fitness assay, we characterized the binding, function, and fitness of some of these variants. We observed that a large range of binding preferences, information contents, and activities could be accessed with a few mutations, suggesting that transcriptional regulatory networks are highly adaptable and expandable.

Indexed as

Transcription, GeneticBinding SitesDNA-Binding ProteinsEscherichia coliEscherichia coli ProteinsEvolution, MolecularGenome, BacterialHelix-Turn-Helix MotifsPromoter Regions, GeneticProtein Structure, TertiaryDNA-Binding ProteinsEscherichia coli ProteinsMarA protein, E coli

Identifiers

PMID22496663
PMCPMC3315485
OpenAlexW2068415520

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.