Evidence map›Paper›PMID 27894998›Full record

ArticleCell systems2016

Push-Pull and Feedback Mechanisms Can Align Signaling System Outputs with Inputs.

Steven S Andrews, William J Peria, Richard C Yu, Alejandro Colman-Lerner, Roger Brent

Abstract read
In one paragraph

Article in Cell systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Design patterns of biological cells.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Dynamics and Sensitivity of Signaling Pathways.Current pathobiology reports · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Molecular switch architecture determines response properties of signaling pathways.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. Signaling Pathways in Proton and Non-proton ASIC1a Activation.Frontiers in cellular neuroscience · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Steven S AndrewsDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA; The Molecular Sciences Institute, Berkeley, CA 94704, USA.
William J PeriaDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA.
Richard C YuThe Molecular Sciences Institute, Berkeley, CA 94704, USA.
Alejandro Colman-LernerInstituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE-CONICET) and Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, C1428EHA Buenos Aires, Argentina.
Roger BrentDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA; The Molecular Sciences Institute, Berkeley, CA 94704, USA. Electronic address: rbrent@fhcrc.org.

Funding

SIMULATION METHODS-PREDICITNG REGULATORY SYSTEM BEHAVIORP50HG002370 · NHGRI · VTT/MSI MOLECULAR SCIENCES INSTITUTE · PI BRENT, ROGER · 2002 to 2007
$21.5M
Systems biology of signal control in yeastR01GM086615 · NIGMS · VTT/MSI MOLECULAR SCIENCES INSTITUTE · PI BRENT, ROGER, YU, RICHARD C. · 2009 to 2012
$2.3M
Dynamics of gradient sensing in single cellsR01GM097479 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRENT, ROGER · 2011 to 2014
$2.1M
NHGRI NIH HHS P50 HG002370NIGMS NIH HHS R01 GM086615NIGMS NIH HHS R01 GM097479
6 · The paper itself

Abstract

Many cell signaling systems, including the yeast pheromone response system, exhibit "dose-response alignment" (DoRA), in which output of one or more downstream steps closely matches the fraction of occupied receptors. DoRA can improve the fidelity of transmitted dose information. Here, we searched systematically for biochemical network topologies that produced DoRA. Most networks, including many containing feedback and feedforward loops, could not produce DoRA. However, networks including "push-pull" mechanisms, in which the active form of a signaling species stimulates downstream activity and the nominally inactive form reduces downstream activity, enabled perfect DoRA. Networks containing feedbacks enabled DoRA, but only if they also compared feedback to input and adjusted output to match. Our results establish push-pull as a non-feedback mechanism to align output with variable input and maximize information transfer in signaling systems. They also suggest genetic approaches to determine whether particular signaling systems use feedback or push-pull control.

Indexed as

Signal TransductionComputer SimulationFeedback, PhysiologicalSaccharomyces cerevisiaecell signalingdose response alignmentparadoxical signalingpheromone response systempush-pullSaccharomyces cervisiaeyeast

Identifiers

PMID27894998
PMCPMC5134923

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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.