Evidence map›Paper›PMID 25607644›Full record

ArticleCell cycle (Georgetown, Tex.)2015

Competing to coordinate cell fate decisions: the MST2-Raf-1 signaling device.

Lan K Nguyen, David G Matallanas, David Romano, Boris N Kholodenko, Walter Kolch

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
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  4. Meta-Dynamic Network Modelling for Biochemical Networks.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Review
  6. Review
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  8. Article
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  12. Ras signaling through RASSF proteins.Seminars in cell & developmental biology · 2016
    Review
  13. Article
  14. Article
  15. Review
  16. Article
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  18. 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

5 authors at 1 institution in 2 countries.

Lan K Nguyena Systems Biology Ireland ; University College Dublin ; Belfield , Dublin , Ireland.
David G Matallanas
David Romano
Boris N Kholodenko
Walter Kolch
University College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How do biochemical signaling pathways generate biological specificity? This question is fundamental to modern biology, and its enigma has been accentuated by the discovery that most proteins in signaling networks serve multifunctional roles. An answer to this question may lie in analyzing network properties rather than individual traits of proteins in order to elucidate design principles of biochemical networks that enable biological decision-making. We discuss how this is achieved in the MST2/Hippo-Raf-1 signaling network with the help of mathematical modeling and model-based analysis, which showed that competing protein interactions with affinities controlled by dynamic protein modifications can function as Boolean computing devices that determine cell fate decisions. In addition, we discuss areas of interest for future research and highlight how systems approaches would be of benefit.

Indexed as

AnimalsApoptosisCell LineCell ProliferationCyclin-Dependent Kinase Inhibitor p15DrosophilaModels, BiologicalPhosphorylationProtein Interaction Domains and MotifsProtein Serine-Threonine KinasesProto-Oncogene Proteins c-rafras ProteinsSignal TransductionTumor Suppressor ProteinsCyclin-Dependent Kinase Inhibitor p15Protein Serine-Threonine KinasesProto-Oncogene Proteins c-rafras ProteinsTumor Suppressor Proteinsaffinity mediated phosphorylationapoptosiscell fate decisioncompeting protein interactionmathematical modelingproliferationsignaling switchessystems analysis

Identifiers

PMID25607644
PMCPMC4353221
OpenAlexW1980698611

What OpenQuestion holds

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LicenceCC BY-NC
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.