ArticlePLoS computational biology2016
Genetic Redundancies Enhance Information Transfer in Noisy Regulatory Circuits.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Differential Expression of Two Copies of theMicrobiology spectrum · 2022Article
- Quantifying information of intracellular signaling: progress with machine learning.Reports on progress in physics. Physical Society (Great Britain) · 2022Review
- Molecular signatures of silencing suppression degeneracy from a complex RNA virus.PLoS computational biology · 2021Article
- Signaling pathways have an inherent need for noise to acquire information.BMC bioinformatics · 2020Article
- Insights about collective decision-making at the genetic level.Biophysical reviews · 2020Article
- Intrinsic adaptive value and early fate of gene duplication revealed by a bottom-up approach.eLife · 2018Article
- The dynamic mechanism of noisy signal decoding in gene regulation.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular decision making is based on regulatory circuits that associate signal thresholds to specific physiological actions. This transmission of information is subjected to molecular noise what can decrease its fidelity. Here, we show instead how such intrinsic noise enhances information transfer in the presence of multiple circuit copies. The result is due to the contribution of noise to the generation of autonomous responses by each copy, which are altogether associated with a common decision. Moreover, factors that correlate the responses of the redundant units (extrinsic noise or regulatory cross-talk) contribute to reduce fidelity, while those that further uncouple them (heterogeneity within the copies) can lead to stronger information gain. Overall, our study emphasizes how the interplay of signal thresholding, redundancy, and noise influences the accuracy of cellular decision making. Understanding this interplay provides a basis to explain collective cell signaling mechanisms, and to engineer robust decisions with noisy genetic circuits.
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Registered trials
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