Evidence map›Paper›PMID 18846202›Full record

ArticlePLoS computational biology2008

Dose-to-duration encoding and signaling beyond saturation in intracellular signaling networks.

Marcelo Behar, Nan Hao, Henrik G Dohlman, Timothy C Elston

Abstract 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 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Dynamics and Sensitivity of Signaling Pathways.Current pathobiology reports · 2022
    Article
  6. Continuous variable responses and signal gating form kinetic bases for pulsatile insulin signaling and emergence of resistance.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  7. Molecular switch architecture determines response properties of signaling pathways.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Computational analysis of signaling patterns in single cells.Seminars in cell & developmental biology · 2015
    Review
  19. Article
  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.

Marcelo BeharDepartment of Physics, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America.
Nan Hao
Henrik G Dohlman
Timothy C Elston

Funding

Spatiotemporal modeling of signal transduction in yeastR01GM079271 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELSTON, TIMOTHY C, ERREDE, BEVERLY · 2006 to 2017
$4.0M
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 R01 GM073180NIGMS NIH HHS R01-GM073180NIGMS NIH HHS R01 GM079271NIGMS NIH HHS R01GM079271
6 · The paper itself

Abstract

The cellular response elicited by an environmental cue typically varies with the strength of the stimulus. For example, in the yeast Saccharomyces cerevisiae, the concentration of mating pheromone determines whether cells undergo vegetative growth, chemotropic growth, or mating. This implies that the signaling pathways responsible for detecting the stimulus and initiating a response must transmit quantitative information about the intensity of the signal. Our previous experimental results suggest that yeast encode pheromone concentration as the duration of the transmitted signal. Here we use mathematical modeling to analyze possible biochemical mechanisms for performing this "dose-to-duration" conversion. We demonstrate that modulation of signal duration increases the range of stimulus concentrations for which dose-dependent responses are possible; this increased dynamic range produces the counterintuitive result of "signaling beyond saturation" in which dose-dependent responses are still possible after apparent saturation of the receptors. We propose a mechanism for dose-to-duration encoding in the yeast pheromone pathway that is consistent with current experimental observations. Most previous investigations of information processing by signaling pathways have focused on amplitude encoding without considering temporal aspects of signal transduction. Here we demonstrate that dose-to-duration encoding provides cells with an alternative mechanism for processing and transmitting quantitative information about their surrounding environment. The ability of signaling pathways to convert stimulus strength into signal duration results directly from the nonlinear nature of these systems and emphasizes the importance of considering the dynamic properties of signaling pathways when characterizing their behavior. Understanding how signaling pathways encode and transmit quantitative information about the external environment will not only deepen our understanding of these systems but also provide insight into how to reestablish proper function of pathways that have become dysregulated by disease.

Indexed as

Models, BiologicalComputational BiologyDose-Response Relationship, DrugFeedback, PhysiologicalPheromonesReceptors, Cell SurfaceReceptors, PheromoneSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSignal TransductionTime FactorsPheromonesReceptors, Cell SurfaceReceptors, PheromoneSaccharomyces cerevisiae Proteins

Identifiers

PMID18846202
PMCPMC2543107

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.