ArticleCommunications biology2018
Waveforms of molecular oscillations reveal circadian timekeeping mechanisms.
Article in Communications biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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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Who cites it
8 citing papers in PubMed.
- Generalized Michaelis-Menten rate law with time-varying molecular concentrations.PLoS computational biology · 2023Article
- Implicit reward-based motor learning.Experimental brain research · 2023Article
- The ups and downs of biological oscillators: a comparison of time-delayed negative feedback mechanisms.Journal of the Royal Society, Interface · 2023Article
- Model-Based Investigation of the Relationship between Regulation Level and Pulse Property of I1-FFL Gene Circuits.ACS synthetic biology · 2022Article
- Article
- Review
- A framework of artificial light management for optimal plant development for smart greenhouse application.PloS one · 2021Article
- The Making and Breaking of RNAs: Dynamics of Rhythmic RNA Expression in Mammals.Journal of biological rhythms · 2020Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Circadian clocks play a pivotal role in orchestrating numerous physiological and developmental events. Waveform shapes of the oscillations of protein abundances can be informative about the underlying biochemical processes of circadian clocks. We derive a mathematical framework where waveforms do reveal hidden biochemical mechanisms of circadian timekeeping. We find that the cost of synthesizing proteins with particular waveforms can be substantially reduced by rhythmic protein half-lives over time, as supported by previous plant and mammalian data, as well as our own seedling experiment. We also find that previously enigmatic, cyclic expression of positive arm components within the mammalian and insect clocks allows both a broad range of peak time differences between protein waveforms and the symmetries of the waveforms about the peak times. Such various peak-time differences may facilitate tissue-specific or developmental stage-specific multicellular processes. Our waveform-guided approach can be extended to various biological oscillators, including cell-cycle and synthetic genetic oscillators.
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Registered trials
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