Evidence map›Paper›PMID 18463697›Full record

ArticlePLoS computational biology2008

Sensing and integration of Erk and PI3K signals by Myc.

Tae Lee, Guang Yao, Joseph Nevins, Lingchong You

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

50 citing papers in PubMed, 83 citations in OpenAlex.

  1. Review
  2. Article
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  8. Review
  9. Article
  10. Article
  11. Heliyon · 2023
    Article
  12. Article
  13. Article
  14. The SIRT1-c-Myc axis in regulation of stem cells.Frontiers in cell and developmental biology · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. KrasGenome biology · 2021
    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 at 2 institutions in 1 country.

Tae LeeDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Guang Yao
Joseph Nevins
Lingchong You
Duke University · USDuke University Hospital · US

Funding

Integration of Oncogenic Networks in Cancer PhenotypesU54CA112952 · NCI · DUKE UNIVERSITY · PI NEVINS, JOSEPH R · 2004 to 2009
$12.4M
NCI NIH HHS 5-U24-CA112952-03NCI NIH HHS U54 CA112952
6 · The paper itself

Abstract

The transcription factor Myc plays a central role in regulating cell-fate decisions, including proliferation, growth, and apoptosis. To maintain a normal cell physiology, it is critical that the control of Myc dynamics is precisely orchestrated. Recent studies suggest that such control of Myc can be achieved at the post-translational level via protein stability modulation. Myc is regulated by two Ras effector pathways: the extracellular signal-regulated kinase (Erk) and phosphatidylinositol 3-kinase (PI3K) pathways. To gain quantitative insight into Myc dynamics, we have developed a mathematical model to analyze post-translational regulation of Myc via sequential phosphorylation by Erk and PI3K. Our results suggest that Myc integrates Erk and PI3K signals to result in various cellular responses by differential stability control of Myc protein isoforms. Such signal integration confers a flexible dynamic range for the system output, governed by stability change. In addition, signal integration may require saturation of the input signals, leading to sensitive signal integration to the temporal features of the input signals, insensitive response to their amplitudes, and resistance to input fluctuations. We further propose that these characteristics of the protein stability control module in Myc may be commonly utilized in various cell types and classes of proteins.

Indexed as

Models, BiologicalComputer SimulationGene Expression RegulationMitogen-Activated Protein KinasesPhosphatidylinositol 3-KinasesPhosphorylationProtein Processing, Post-TranslationalProto-Oncogene Proteins c-mycSignal TransductionMitogen-Activated Protein KinasesMYC protein, humanPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-myc

Identifiers

PMID18463697
PMCPMC2265471
OpenAlexW2078161232

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.