Evidence map›Paper›PMID 18515389›Full record

ArticleBiophysical journal2008

The effects of reversibility and noise on stochastic phosphorylation cycles and cascades.

Clark A Miller, Daniel A Beard

Abstract read
In one paragraph

Article in Biophysical journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Threshold response and bistability in gene regulation by small noncoding RNA.The European physical journal. E, Soft matter · 2018
    Article
  4. Article
  5. Multi-scale modeling in biology: how to bridge the gaps between scales?Progress in biophysics and molecular biology · 2011
    Review
  6. Article
  7. Bimodal gene expression in noncooperative regulatory systems.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
  8. Article
  9. Article
  10. Article
  11. 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

2 authors.

Clark A MillerDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, USA.
Daniel A Beard

Funding

Analysis of Large-Scale Biochemical SystemsR01GM068610 · NIGMS · MEDICAL COLLEGE OF WISCONSIN · PI BEARD, DANIEL A · 2004 to 2007
$1.1M
NIGMS NIH HHS GM068610NIGMS NIH HHS R01 GM068610
6 · The paper itself

Abstract

The phosphorylation-dephosphorylation cycle is a common motif in cellular signaling networks. Previous work has revealed that, when driven by a noisy input signal, these cycles may exhibit bistable behavior. Here, a recently introduced theorem on network bistability is applied to prove that the existence of bistability is dependent on the stochastic nature of the system. Furthermore, the thermodynamics of simple cycles and cascades is investigated in the stochastic setting. Because these cycles are driven by the ATP hydrolysis potential, they may operate far from equilibrium. It is shown that sufficient high ATP hydrolysis potential is necessary for the existence of a bistable steady state. For the single-cycle system, the ensemble average behavior follows the ultrasensitive response expected from analysis of the corresponding deterministic system, but with significant fluctuations. For the two-cycle cascade, the average behavior begins to deviate from the expected response of the deterministic system. Examination of a two-cycle cascade reveals that the bistable steady state may be either propagated or abolished along a cascade, depending on the parameters chosen. Likewise, the variance in the response can be maximized or minimized by tuning the number of enzymes in the second cycle.

Indexed as

PhosphorylationAdenosine TriphosphateAlgorithmsEnzyme StabilityHydrolysisKineticsModels, BiologicalPhosphotransferasesSignal TransductionStochastic ProcessesThermodynamicsAdenosine TriphosphatePhosphotransferases

Identifiers

PMID18515389
PMCPMC2517037

What OpenQuestion holds

Textmetadata
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.