Evidence map›Paper›PMID 39423710›Full record

ReviewCurrent opinion in structural biology2024

Fuzzy protein-DNA interactions and beyond: A common theme in transcription?

Elisabeth Komives, Ricardo Sanchez-Rodriguez, Hamed Taghavi, Monika Fuxreiter

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. A tethering mechanism underlies Pin1-catalyzed prolineProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. 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.

Elisabeth KomivesDepartment of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, USA.
Ricardo Sanchez-RodriguezDepartment of Biomedical Sciences, University of Padova, Padova, Italy.
Hamed TaghaviDepartment of Biomedical Sciences, University of Padova, Padova, Italy.
Monika FuxreiterDepartment of Biomedical Sciences, University of Padova, Padova, Italy; Department of Physics and Astronomy, University of Padova, Padova, Italy. Electronic address: monika.fuxreiter@unipd.it.

Funding

The landscape of NFκB transcription dynamicsR01GM141182 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIVES, ELIZABETH A., WOLYNES, PETER GUY · 2022 to 2025
$2.3M
NIGMS NIH HHS R01 GM141182
6 · The paper itself

Abstract

Gene expression regulation requires both diversity and specificity. How can these two contradictory conditions be reconciled? Dynamic DNA recognition mechanisms lead to heterogeneous bound conformations, which can be shifted by the cellular cues. Here we summarise recent experimental evidence on how fuzzy interactions contribute to chromatin remodelling, regulation of DNA replication and repair and transcription factor binding. We describe how the binding mode continuum between DNA and regulatory factors lead to variable, multisite contact patterns; polyelectrolyte competitions; on-the-fly shape readouts; autoinhibition controlled by posttranslational modifications or dynamic oligomerisation mechanisms. Increasing experimental evidence supports the rugged energy landscape of the bound protein-DNA assembly, modulation of which leads to distinct functional outcomes. Recent results suggest the evolutionary conservation of these combinatorial mechanisms with moderate sequence constraints in the malleable transcriptional machinery.

Indexed as

DNAProtein BindingTranscription, GeneticAnimalsDNA-Binding ProteinsGene Expression RegulationHumansDNADNA-Binding Proteins

Identifiers

PMID39423710
PMCPMC12122071

What OpenQuestion holds

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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.