Evidence map›Paper›PMID 22887818›Full record

ArticleGenetics2012

Why transcription factor binding sites are ten nucleotides long.

Alexander J Stewart, Sridhar Hannenhalli, Joshua B Plotkin

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 3% 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

90 citing papers in PubMed, 1 synthesis or guideline pooled it, 178 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026
    Review
  4. Article
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  18. Review
  19. Maize inbreds show allelic variation for diel transcription patterns.bioRxiv : the preprint server for biology · 2024
    Article
  20. Article

30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
    Hannenhalli, Sridhar [added]
5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Alexander J StewartDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Sridhar Hannenhalli
Joshua B Plotkin
University of Pennsylvania · USUniversity of Maryland, College Park · US

Funding

Methods for evolutionary analysis of eukaryotic transcriptional regulationR01GM085226 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI HANNENHALLI, SRIDHAR · 2008 to 2011
$1.5M
NIGMS NIH HHS R01 GM085226
6 · The paper itself

Abstract

Gene expression is controlled primarily by transcription factors, whose DNA binding sites are typically 10 nt long. We develop a population-genetic model to understand how the length and information content of such binding sites evolve. Our analysis is based on an inherent trade-off between specificity, which is greater in long binding sites, and robustness to mutation, which is greater in short binding sites. The evolutionary stable distribution of binding site lengths predicted by the model agrees with the empirical distribution (5-31 nt, with mean 9.9 nt for eukaryotes), and it is remarkably robust to variation in the underlying parameters of population size, mutation rate, number of transcription factor targets, and strength of selection for proper binding and selection against improper binding. In a systematic data set of eukaryotic and prokaryotic transcription factors we also uncover strong relationships between the length of a binding site and its information content per nucleotide, as well as between the number of targets a transcription factor regulates and the information content in its binding sites. Our analysis explains these features as well as the remarkable conservation of binding site characteristics across diverse taxa.

Indexed as

AlgorithmsAnimalsBinding SitesComputer SimulationDNAEvolution, MolecularGenetics, PopulationHumansModels, BiologicalMutation RateNucleotide MotifsProtein BindingReproductionTranscription FactorsDNATranscription Factors

Identifiers

PMID22887818
PMCPMC3522170
OpenAlexW2153561273

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.