ArticleNucleic acids research2012
The magnitude and colour of noise in genetic negative feedback systems.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Stochastic gene expression in proliferating cells: Differing noise intensity in single-cell and population perspectives.PLoS computational biology · 2025Article
- Stochastic Gene Expression in Proliferating Cells: Differing Noise Intensity in Single-Cell and Population Perspectives.bioRxiv : the preprint server for biology · 2024Article
- Noise suppression in stochastic genetic circuits using PID controllers.PLoS computational biology · 2021Article
- A context-dependent bifurcation in the Pointed transcriptional effector network contributes specificity and robustness to retinal cell fate acquisition.PLoS genetics · 2020Article
- Gene expression noise is affected differentially by feedback in burst frequency and burst size.Journal of mathematical biology · 2017Article
- Information Transfer via Gonadotropin-Releasing Hormone Receptors to ERK and NFAT: Sensing GnRH and Sensing Dynamics.Journal of the Endocrine Society · 2017Article
- First-passage time approach to controlling noise in the timing of intracellular events.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- MicroRNA inhibition fine-tunes and provides robustness to the restriction point switch of the cell cycle.Scientific reports · 2016Article
- Implementation Considerations, Not Topological Differences, Are the Main Determinants of Noise Suppression Properties in Feedback and Incoherent Feedforward Circuits.PLoS computational biology · 2016Article
- Information Transfer in Gonadotropin-releasing Hormone (GnRH) Signaling: EXTRACELLULAR SIGNAL-REGULATED KINASE (ERK)-MEDIATED FEEDBACK LOOPS CONTROL HORMONE SENSING.The Journal of biological chemistry · 2016Article
- Information transfer by leaky, heterogeneous, protein kinase signaling systems.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Combined model of intrinsic and extrinsic variability for computational network design with application to synthetic biology.PLoS computational biology · 2013Article
- How reliable is the linear noise approximation of gene regulatory networks?BMC genomics · 2013Article
- The fidelity of dynamic signaling by noisy biomolecular networks.PLoS computational biology · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The comparative ability of transcriptional and small RNA-mediated negative feedback to control fluctuations or 'noise' in gene expression remains unexplored. Both autoregulatory mechanisms usually suppress the average (mean) of the protein level and its variability across cells. The variance of the number of proteins per molecule of mean expression is also typically reduced compared with the unregulated system, but is almost never below the value of one. This relative variance often substantially exceeds a recently obtained, theoretical lower limit for biochemical feedback systems. Adding the transcriptional or small RNA-mediated control has different effects. Transcriptional autorepression robustly reduces both the relative variance and persistence (lifetime) of fluctuations. Both benefits combine to reduce noise in downstream gene expression. Autorepression via small RNA can achieve more extreme noise reduction and typically has less effect on the mean expression level. However, it is often more costly to implement and is more sensitive to rate parameters. Theoretical lower limits on the relative variance are known to decrease slowly as a measure of the cost per molecule of mean expression increases. However, the proportional increase in cost to achieve substantial noise suppression can be different away from the optimal frontier-for transcriptional autorepression, it is frequently negligible.
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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.