Evidence map›Paper›PMID 23615029›Full record

ReviewOpen biology2013

Ultrasensitive response motifs: basic amplifiers in molecular signalling networks.

Qiang Zhang, Sudin Bhattacharya, Melvin E Andersen

Abstract readReview
In one paragraph

Review in Open biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing 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

86 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Design patterns of biological cells.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. On the Rational Design of Cooperative Receptors.Annual review of biophysics · 2023
    Review

26 more citing papers are in PubMed but not listed here.

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.

Qiang ZhangCenter for Dose Response Modeling, Institute for Chemical Safety Sciences, The Hamner Institutes for Health Sciences, Research Triangle Park, NC 27709, USA. qzhang@thehamner.org
Sudin Bhattacharya
Melvin E Andersen

Funding

VOLATILE ORGANIC CONTAMINANTS--QUANTIFYING THEIR MOVEMENT IN THE UNSATURATED ZONEP42ES004911 · NIEHS · MICHIGAN STATE UNIVERSITY · PI Jamie J Bernard · 1989 to 2026
$64.9M
Mapping the Human Toxome by Systems ToxicologyR01ES020750 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI HARTUNG, THOMAS · 2011 to 2015
$6.0M
Paradoxical roles of Nrf2 activation in arsenic-induced beta-cell dysfunctionR01ES016005 · NIEHS · THE HAMNER INSTITUTES · PI PI, JINGBO · 2008 to 2012
$2.5M
NIEHS NIH HHS NIEHSP42ES04911NIEHS NIH HHS NIEHS-R01ES016005NIEHS NIH HHS NIEHS-R01ES020750NIEHS NIH HHS P42 ES004911
6 · The paper itself

Abstract

Multi-component signal transduction pathways and gene regulatory circuits underpin integrated cellular responses to perturbations. A recurring set of network motifs serve as the basic building blocks of these molecular signalling networks. This review focuses on ultrasensitive response motifs (URMs) that amplify small percentage changes in the input signal into larger percentage changes in the output response. URMs generally possess a sigmoid input-output relationship that is steeper than the Michaelis-Menten type of response and is often approximated by the Hill function. Six types of URMs can be commonly found in intracellular molecular networks and each has a distinct kinetic mechanism for signal amplification. These URMs are: (i) positive cooperative binding, (ii) homo-multimerization, (iii) multistep signalling, (iv) molecular titration, (v) zero-order covalent modification cycle and (vi) positive feedback. Multiple URMs can be combined to generate highly switch-like responses. Serving as basic signal amplifiers, these URMs are essential for molecular circuits to produce complex nonlinear dynamics, including multistability, robust adaptation and oscillation. These dynamic properties are in turn responsible for higher-level cellular behaviours, such as cell fate determination, homeostasis and biological rhythm.

Indexed as

Gene Regulatory NetworksModels, BiologicalSignal TransductionProtein MultimerizationProteinsSecond Messenger SystemsProteins

Identifiers

PMID23615029
PMCPMC3718334

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.