Evidence map›Paper›PMID 26912662›Full record

ArticleThe Journal of biological chemistry2016

Quantification of Cooperativity in Heterodimer-DNA Binding Improves the Accuracy of Binding Specificity Models.

Alina Isakova, Yves Berset, Vassily Hatzimanikatis, Bart Deplancke

Abstract read
In one paragraph

Article in The Journal of biological chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Unraveling the Hierarchy ofMolecular and cellular biology · 2020
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Transcription factor-DNA binding: beyond binding site motifs.Current opinion in genetics & development · 2017
    Review
  9. Systematic dissection of genomic features determining transcription factor binding and enhancer function.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  10. Article
  11. 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

4 authors.

Alina IsakovaFrom the Institute of Bioengineering, Swiss Institute of Bioinformatics (SIB), CH-1015 Lausanne, Switzerland.
Yves BersetFrom the Institute of Bioengineering, Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne, and Swiss Institute of Bioinformatics (SIB), CH-1015 Lausanne, Switzerland.
Vassily HatzimanikatisInstitute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne, and Swiss Institute of Bioinformatics (SIB), CH-1015 Lausanne, Switzerland vassily.hatzimanikatis@epfl.ch.
Bart DeplanckeFrom the Institute of Bioengineering, Swiss Institute of Bioinformatics (SIB), CH-1015 Lausanne, Switzerland bart.deplancke@epfl.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many transcription factors (TFs) have the ability to cooperate on DNA elements as heterodimers. Despite the significance of TF heterodimerization for gene regulation, a quantitative understanding of cooperativity between various TF dimer partners and its impact on heterodimer DNA binding specificity models is still lacking. Here, we used a novel integrative approach, combining microfluidics-steered measurements of dimer-DNA assembly with mechanistic modeling of the implicated protein-protein-DNA interactions to quantitatively interrogate the cooperative DNA binding behavior of the adipogenic peroxisome proliferator-activated receptor γ (PPARγ):retinoid X receptor α (RXRα) heterodimer. Using the high throughput MITOMI (mechanically induced trapping of molecular interactions) platform, we derived equilibrium DNA binding data for PPARγ, RXRα, as well as the PPARγ:RXRα heterodimer to more than 300 target DNA sites and variants thereof. We then quantified cooperativity underlying heterodimer-DNA binding and derived an integrative heterodimer DNA binding constant. Using this cooperativity-inclusive constant, we were able to build a heterodimer-DNA binding specificity model that has superior predictive power than the one based on a regular one-site equilibrium. Our data further revealed that individual nucleotide substitutions within the target site affect the extent of cooperativity in PPARγ:RXRα-DNA binding. Our study therefore emphasizes the importance of assessing cooperativity when generating DNA binding specificity models for heterodimers.

Indexed as

Models, MolecularBinding SitesDNAHumansPPAR gammaProtein MultimerizationRetinoid X Receptor alphaDNAPPAR gammaRetinoid X Receptor alphacomputational biologycooperativityDNA-binding proteinheterodimer-DNA interactionsspecificity modelstranscriptiontranscription regulation

Identifiers

PMID26912662
PMCPMC4858977

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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.