Evidence map›Paper›PMID 16361346›Full record

ArticleBiophysical journal2006

Bistability, stochasticity, and oscillations in the mitogen-activated protein kinase cascade.

Xiao Wang, Nan Hao, Henrik G Dohlman, Timothy C Elston

Abstract read
In one paragraph

Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
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

40 citing papers in PubMed.

  1. Article
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  9. ACCURATE CHEMICAL MASTER EQUATION SOLUTION USING MULTI-FINITE BUFFERS.Multiscale modeling & simulation : a SIAM interdisciplinary journal · 2016
    Article
  10. Article
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  19. Signalling ballet in space and time.Nature reviews. Molecular cell biology · 2010
    Review
  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

4 authors.

Xiao WangDepartment of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7365, USA.
Nan Hao
Henrik G Dohlman
Timothy C Elston

Funding

REGULATORS OF G PROTEIN SIGNALING IN YEASTR01GM059167 · NIGMS · YALE UNIVERSITY · PI DOHLMAN, HENRIK G. · 1999 to 2015
$3.7M
Modeling Feedback Regulation of Cell SignalingR01GM073180 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOHLMAN, HENRIK G. · 2005 to 2012
$2.6M
NIGMS NIH HHS GM059167NIGMS NIH HHS GM073180NIGMS NIH HHS R01 GM059167NIGMS NIH HHS R01 GM073180
6 · The paper itself

Abstract

Signaling pathways respond to stimuli in a variety of ways, depending on the magnitude of the input and the physiological status of the cell. For instance, yeast can respond to pheromone stimulation in either a binary or graded fashion. Here we present single cell transcription data indicating that a transient binary response in which all cells eventually become activated is typical. Stochastic modeling of the biochemical steps that regulate activation of the mitogen-activated protein kinase Fus3 reveals that this portion of the pathway can account for the graded-to-binary conversion. To test the validity of the model, genetic approaches are used to alter expression levels of Msg5 and Ste7, two of the proteins that negatively and positively regulate Fus3, respectively. Single cell measurements of the genetically altered cells are shown to be consistent with predictions of the model. Finally, computational modeling is used to investigate the effects of protein turnover on the response of the pathway. We demonstrate that the inclusion of protein turnover can lead to sustained oscillations of protein concentrations in the absence of feedback regulation. Thus, protein turnover can profoundly influence the output of a signaling pathway.

Indexed as

Models, BiologicalBiological ClocksComputer SimulationGene Expression RegulationMAP Kinase Signaling SystemModels, StatisticalPheromonesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsPheromonesSaccharomyces cerevisiae Proteins

Identifiers

PMID16361346
PMCPMC1386776

What OpenQuestion holds

Textmetadata
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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.