Evidence map›Paper›PMID 23992617›Full record

ArticleBMC systems biology2013

Post-translational regulation enables robust p53 regulation.

Yong-Jun Shin, Kai-Yuan Chen, Ali H Sayed, Brandon Hencey, Xiling Shen

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Colorectal carcinogenesis--update and perspectives.World journal of gastroenterology · 2014
    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

5 authors at 2 institutions in 1 country.

Yong-Jun ShinSchool of Electrical and Computer Engineering, 402 Phillips Hall, Cornell University, Ithaca, NY 14853, USA. xs66@cornell.edu.
Kai-Yuan Chen
Ali H Sayed
Brandon Hencey
Xiling Shen
Cornell University · USUniversity of California, Los Angeles · US

Funding

Multi-scale modeling of asymmetric cell divisionR01GM095990 · NIGMS · CORNELL UNIVERSITY · PI SHEN, XILING · 2011 to 2015
$1.5M
NIGMS NIH HHS R01GM95990
6 · The paper itself

Abstract

backgroundThe tumor suppressor protein p53 plays important roles in DNA damage repair, cell cycle arrest and apoptosis. Due to its critical functions, the level of p53 is tightly regulated by a negative feedback mechanism to increase its tolerance towards fluctuations and disturbances. Interestingly, the p53 level is controlled by post-translational regulation rather than transcriptional regulation in this feedback mechanism.

resultsWe analyzed the dynamics of this feedback to understand whether post-translational regulation provides any advantages over transcriptional regulation in regard to disturbance rejection. When a disturbance happens, even though negative feedback reduces the steady-state error, it can cause a system to become less stable and transiently overshoots, which may erroneously trigger downstream reactions. Therefore, the system needs to balance the trade-off between steady-state and transient errors. Feedback control and adaptive estimation theories revealed that post-translational regulation achieves a better trade-off than transcriptional regulation, contributing to a more steady level of p53 under the influence of noise and disturbances. Furthermore, post-translational regulation enables cells to respond more promptly to stress conditions with consistent amplitude. However, for better disturbance rejection, the p53- Mdm2 negative feedback has to pay a price of higher stochastic noise.

conclusionsOur analyses suggest that the p53-Mdm2 feedback favors regulatory mechanisms that provide the optimal trade-offs for dynamic control.

Indexed as

Protein Processing, Post-TranslationalSystems BiologyFeedback, PhysiologicalGene Expression RegulationModels, BiologicalNonlinear DynamicsProto-Oncogene Proteins c-mdm2Reproducibility of ResultsStochastic ProcessesTumor Suppressor Protein p53Proto-Oncogene Proteins c-mdm2Tumor Suppressor Protein p53

Identifiers

PMID23992617
PMCPMC3844394
OpenAlexW2167197426

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.