ArticleScientific reports2016
Noise Reduction in Complex Biological Switches.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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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.
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Who cites it
12 citing papers in PubMed.
- Force-responsive biomaterials drive tissue repair by harnessing endogenous growth factors.Nature materials · 2026Article
- Evolution of opposing regulatory interactions underlies the emergence of eukaryotic cell cycle checkpoints.Scientific reports · 2021Article
- An in silico analysis of robust but fragile gene regulation links enhancer length to robustness.PLoS computational biology · 2019Article
- RNA Regulatory Networks as a Control of Stochasticity in Biological Systems.Frontiers in genetics · 2019Review
- Deciphering noise amplification and reduction in open chemical reaction networks.Journal of the Royal Society, Interface · 2018Article
- Limits of noise for autoregulated gene expression.Journal of mathematical biology · 2018Article
- Single molecules can operate as primitive biological sensors, switches and oscillators.BMC systems biology · 2018Article
- Article
- Modeling evolution of crosstalk in noisy signal transduction networks.Physical review. E · 2018Article
- On the performance of a photosystem II reaction centre-based photocell.Chemical science · 2017Article
- Efficient Switches in Biology and Computer Science.PLoS computational biology · 2017Article
- Parallel arrangements of positive feedback loops limit cell-to-cell variability in differentiation.PloS one · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cells operate in noisy molecular environments via complex regulatory networks. It is possible to understand how molecular counts are related to noise in specific networks, but it is not generally clear how noise relates to network complexity, because different levels of complexity also imply different overall number of molecules. For a fixed function, does increased network complexity reduce noise, beyond the mere increase of overall molecular counts? If so, complexity could provide an advantage counteracting the costs involved in maintaining larger networks. For that purpose, we investigate how noise affects multistable systems, where a small amount of noise could lead to very different outcomes; thus we turn to biochemical switches. Our method for comparing networks of different structure and complexity is to place them in conditions where they produce exactly the same deterministic function. We are then in a good position to compare their noise characteristics relatively to their identical deterministic traces. We show that more complex networks are better at coping with both intrinsic and extrinsic noise. Intrinsic noise tends to decrease with complexity, and extrinsic noise tends to have less impact. Our findings suggest a new role for increased complexity in biological networks, at parity of function.
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Registered trials
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.