Evidence map›Paper›PMID 19300504›Full record

ArticlePLoS computational biology2009

Positional information generated by spatially distributed signaling cascades.

Javier Muñoz-García, Zoltan Neufeld, Boris N Kholodenko

Abstract read
In one paragraph

Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Complexity of receptor tyrosine kinase signal processing.Cold Spring Harbor perspectives in biology · 2013
    Review
  10. Review
  11. Geometry sensing by self-organized protein patterns.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  12. Article
  13. Article
  14. Article
  15. Signalling ballet in space and time.Nature reviews. Molecular cell biology · 2010
    Review
  16. Review
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

3 authors.

Javier Muñoz-GarcíaSchool of Mathematical Sciences and Complex Adaptive Systems Laboratory, University College Dublin, Dublin, Ireland.
Zoltan Neufeld
Boris N Kholodenko

Funding

Receptor Tyrosine Kinase Signaling NetworksR01GM059570 · NIGMS · THOMAS JEFFERSON UNIVERSITY · PI HOEK, JOANNES B · 2000 to 2010
$3.6M
Mechanisms of Central Autonomic Orchestration of Blood PressureR33HL088283 · NHLBI · THOMAS JEFFERSON UNIVERSITY · PI VADIGEPALLI, RAJANIKANTH · 2006 to 2008
$846k
NHLBI NIH HHS R33 HL088283NHLBI NIH HHS R33HL088283NIGMS NIH HHS GM059570NIGMS NIH HHS R01 GM059570
6 · The paper itself

Abstract

The temporal and stationary behavior of protein modification cascades has been extensively studied, yet little is known about the spatial aspects of signal propagation. We have previously shown that the spatial separation of opposing enzymes, such as a kinase and a phosphatase, creates signaling activity gradients. Here we show under what conditions signals stall in the space or robustly propagate through spatially distributed signaling cascades. Robust signal propagation results in activity gradients with long plateaus, which abruptly decay at successive spatial locations. We derive an approximate analytical solution that relates the maximal amplitude and propagation length of each activation profile with the cascade level, protein diffusivity, and the ratio of the opposing enzyme activities. The control of the spatial signal propagation appears to be very different from the control of transient temporal responses for spatially homogenous cascades. For spatially distributed cascades where activating and deactivating enzymes operate far from saturation, the ratio of the opposing enzyme activities is shown to be a key parameter controlling signal propagation. The signaling gradients characteristic for robust signal propagation exemplify a pattern formation mechanism that generates precise spatial guidance for multiple cellular processes and conveys information about the cell size to the nucleus.

Indexed as

Models, BiologicalComputer SimulationMultienzyme ComplexesProteomeSignal TransductionSubcellular FractionsMultienzyme ComplexesProteome

Identifiers

PMID19300504
PMCPMC2654021

What OpenQuestion holds

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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.