Evidence map›Paper›PMID 19424414›Full record

ArticlePLoS genetics2009

Probing the functional impact of sequence variation on p53-DNA interactions using a novel microsphere assay for protein-DNA binding with human cell extracts.

Maher A Noureddine, Daniel Menendez, Michelle R Campbell, Omari J Bandele, Monica M Horvath, Xuting Wang, Gary S Pittman, Brian N Chorley, Michael A Resnick, Douglas A Bell

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. The multiple mechanisms that regulate p53 activity and cell fate.Nature reviews. Molecular cell biology · 2019
    Review
  3. Article
  4. Revealing a human p53 universe.Nucleic acids research · 2018
    Article
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  18. Low-level p53 expression changes transactivation rules and reveals superactivating sequences.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
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  20. 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

10 authors at 2 institutions in 1 country.

Maher A NoureddineEnvironmental Genomics Group, Laboratory of Molecular Genetics, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA.
Daniel Menendez
Michelle R Campbell
Omari J Bandele
Monica M Horvath
Xuting Wang
Gary S Pittman
Brian N Chorley
Michael A Resnick
Douglas A Bell
National Institute of Environmental Health Sciences · USNational Institutes of Health · US

Funding

Discovery And Functional Genomics Of Environmental Response GenesZIAES100475 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BELL, DOUGLAS · 2009 to 2025
$24.4M
Human Genes Affecting Chromosome Metabolism and Stress ResponseZIAES065079 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MENENDEZ RENDON, DANIEL · 2009 to 2021
$12.5M
Discovery And Genetics Of Environmental Response GenesZ01ES100475 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BELL, DOUGLAS · 2002 to 2008
$2.9M
ISOLATION &CHARACTERIZATION OF GENES AFFECTING YEAST CHROMOSOME METABOLISMZ01ES065079 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI RESNICK, MICHAEL A · 1994 to 2008
$1.8M
Intramural NIH HHS Z01 ES065079NIEHS NIH HHS Z01 ES065079-15NIEHS NIH HHS Z01-ES-100475-M-0001
6 · The paper itself

Abstract

The p53 tumor suppressor regulates its target genes through sequence-specific binding to DNA response elements (REs). Although numerous p53 REs are established, the thousands more identified by bioinformatics are not easily subjected to comparative functional evaluation. To examine the relationship between RE sequence variation -- including polymorphisms -- and p53 binding, we have developed a multiplex format microsphere assay of protein-DNA binding (MAPD) for p53 in nuclear extracts. Using MAPD we measured sequence-specific p53 binding of doxorubicin-activated or transiently expressed p53 to REs from established p53 target genes and p53 consensus REs. To assess the sensitivity and scalability of the assay, we tested 16 variants of the p21 target sequence and a 62-multiplex set of single nucleotide (nt) variants of the p53 consensus sequence and found many changes in p53 binding that are not captured by current computational binding models. A group of eight single nucleotide polymorphisms (SNPs) was examined and binding profiles closely matched transactivation capability tested in luciferase constructs. The in vitro binding characteristics of p53 in nuclear extracts recapitulated the cellular in vivo transactivation capabilities for eight well-established human REs measured by luciferase assay. Using a set of 26 bona fide REs, we observed distinct binding patterns characteristic of transiently expressed wild type and mutant p53s. This microsphere assay system utilizes biologically meaningful cell extracts in a multiplexed, quantitative, in vitro format that provides a powerful experimental tool for elucidating the functional impact of sequence polymorphism and protein variation on protein/DNA binding in transcriptional networks.

Indexed as

Genetic TechniquesBase SequenceBinding SitesCell NucleusDNAFluorescent DyesGene Regulatory NetworksGenes, p53HumansIn Vitro TechniquesMicrospheresModels, GeneticMutagenesis, Site-DirectedPolymorphism, Single NucleotideProtein BindingRecombinant ProteinsDNAFluorescent DyesRecombinant ProteinsTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID19424414
PMCPMC2667269
OpenAlexW2032195954

What OpenQuestion holds

Textmetadata
LicenceCC0
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.