Evidence map›Paper›PMID 18179281›Full record

ArticlePLoS computational biology2008

Noise propagation and signaling sensitivity in biological networks: a role for positive feedback.

Gil Hornung, Naama Barkai

Open access · goldAbstract 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 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

94 citing papers in PubMed, 211 citations in OpenAlex.

  1. Article
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  13. Mathematical Modelling in Plant Synthetic Biology.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  14. Article
  15. A self-exciting point process to study multicellular spatial signaling patterns.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Article
  17. Article
  18. Role of integrated noise in pathway-specific signal propagation in feed-forward loops.Theory in biosciences = Theorie in den Biowissenschaften · 2021
    Article
  19. Article
  20. Article

34 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

2 authors at 1 institution in 1 country.

Gil HornungDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
Naama Barkai
Weizmann Institute of Science · IL

Funding

THEORETICAL ANALYSIS OF FUNCTIONAL MODULESP50GM068763 · NIGMS · HARVARD UNIVERSITY · PI BENENSON, YAAKOV · 2003 to 2012
$28.9M
NIGMS NIH HHS GM068763NIGMS NIH HHS P50 GM068763
6 · The paper itself

Abstract

Interactions between genes and proteins are crucial for efficient processing of internal or external signals, but this connectivity also amplifies stochastic fluctuations by propagating noise between components. Linear (unbranched) cascades were shown to exhibit an interplay between the sensitivity to changes in input signals and the ability to buffer noise. We searched for biological circuits that can maintain signaling sensitivity while minimizing noise propagation, focusing on cases where the noise is characterized by rapid fluctuations. Negative feedback can buffer this type of noise, but this buffering comes at the expense of an even greater reduction in signaling sensitivity. By systematically analyzing three-component circuits, we identify positive feedback as a central motif allowing for the buffering of propagated noise while maintaining sensitivity to long-term changes in input signals. We show analytically that noise reduction in the presence of positive feedback results from improved averaging of rapid fluctuations over time, and discuss in detail a particular implementation in the control of nutrient homeostasis in yeast. As the design of biological networks optimizes for multiple constraints, positive feedback can be used to improve sensitivity without a compromise in the ability to buffer propagated noise.

Indexed as

Models, BiologicalModels, StatisticalAdaptation, PhysiologicalComputer SimulationFeedbackProteomeSignal TransductionStochastic ProcessesProteome

Identifiers

PMID18179281
PMCPMC2174979
OpenAlexW1970070519

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.