Evidence map›Paper›PMID 31812692›Full record

ArticleCell systems2019

Inferring Leading Interactions in the p53/Mdm2/Mdmx Circuit through Live-Cell Imaging and Modeling.

Mathias L Heltberg, Sheng-Hong Chen, Alba Jiménez, Ashwini Jambhekar, Mogens H Jensen, Galit Lahav

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Temperature Controls Onset and Period of NF-Frontiers in cell and developmental biology · 2022
    Article
  8. Review
  9. Review
  10. 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

6 authors at 3 institutions in 3 countries.

Mathias L HeltbergNiels Bohr Institute, University of Copenhagen 2100, Copenhagen, Denmark; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
Sheng-Hong ChenDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA; Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan.
Alba JiménezDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.
Ashwini JambhekarDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.
Mogens H JensenNiels Bohr Institute, University of Copenhagen 2100, Copenhagen, Denmark. Electronic address: mhjensen@nbi.ku.dk.
Galit LahavDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA. Electronic address: galit@hms.harvard.edu.
Harvard University · USCenter for Systems Biology · USUniversity of Copenhagen · DK

Funding

Dynamics of Signaling Pathways: Mechanism and FunctionR01GM083303 · NIGMS · HARVARD MEDICAL SCHOOL · PI LAHAV, GALIT · 2008 to 2020
$5.2M
Dynamics of Cellular Senescence in Single CellsR01GM116864 · NIGMS · HARVARD MEDICAL SCHOOL · PI LAHAV, GALIT · 2017 to 2020
$1.6M
NIGMS NIH HHS R01 GM083303NIGMS NIH HHS R01 GM116864
6 · The paper itself

Abstract

The tumor-suppressive transcription factor p53 is a master regulator of stress responses. In non-stressed conditions, p53 is maintained at low levels by the ubiquitin ligase Mdm2 and its binding partner Mdmx. Mdmx depletion leads to a biphasic p53 response, with an initial post-mitotic pulse followed by oscillations. The mechanism underlying this dynamical behavior is unknown. Two different roles for Mdmx have been proposed: enhancing p53 ubiquitination by Mdm2 and inhibiting p53 activity. Here, we developed a mathematical model of the p53/Mdm2/Mdmx network to investigate which Mdmx functions quantitatively affect specific features of p53 dynamics under various conditions. We found that enhancement of Mdm2 activity was the most critical role of Mdmx under unstressed conditions. The model also accurately predicted p53 dynamics in Mdmx-depleted cells following DNA damage. This work outlines a strategy for rapidly testing possible network interactions to reveal those most impactful in regulating the dynamics of key proteins.

Indexed as

Cell Cycle ProteinsDNA DamageHumansMCF-7 CellsModels, TheoreticalNuclear ProteinsProto-Oncogene ProteinsProto-Oncogene Proteins c-mdm2Tumor Suppressor Protein p53UbiquitinationCell Cycle ProteinsMDM2 protein, humanMDM4 protein, humanNuclear ProteinsProto-Oncogene ProteinsProto-Oncogene Proteins c-mdm2TP53 protein, humanTumor Suppressor Protein p53ATRDNA damagedynamical systemsMdm2Mdmxmodelingoscillationsp53single cells

Identifiers

PMID31812692
PMCPMC7263464
OpenAlexW2991876164

What OpenQuestion holds

Textmetadata
LicenceTDM
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.