ArticlePLoS computational biology2016
Processing Oscillatory Signals by Incoherent Feedforward Loops.
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 19 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
19 citing papers in PubMed, 2 citations in OpenAlex.
- Design principles for robust multistability in coupled feedforward-feedback regulatory circuits.NPJ systems biology and applications · 2026Article
- Hif-1 responsive IFFLs to explain specific transcriptional responses to cycling hypoxia in cancers.NPJ systems biology and applications · 2025Article
- Emerging roles of transcriptional condensates as temporal signal integrators.Nature reviews. Genetics · 2025Review
- A model-based design strategy to engineer miRNA-regulated detection systems.Frontiers in systems biology · 2025Article
- Spatiotemporal orchestration of calcium-cAMP oscillations on AKAP/AC nanodomains is governed by an incoherent feedforward loop.PLoS computational biology · 2024Article
- Synthetic gene circuit evolution: Insights and opportunities at the mid-scale.Cell chemical biology · 2024Review
- Loss of Krüppel-like factor 9 deregulates both physiological gene expression and development.Scientific reports · 2023Article
- Electrifying rhythms in plant cells.Current opinion in cell biology · 2022Review
- Generation of Realistic Gene Regulatory Networks by Enriching for Feed-Forward Loops.Frontiers in genetics · 2022Article
- Cyclin/Forkhead-mediated coordination of cyclin waves: an autonomous oscillator rationalizing the quantitative model of Cdk control for budding yeast.NPJ systems biology and applications · 2021Review
- A rationally engineered decoder of transient intracellular signals.Nature communications · 2021Article
- Glucocorticoid-Mediated Developmental Programming of Vertebrate Stress Responsivity.Frontiers in physiology · 2021Review
- Early Detection of Daylengths with a Feedforward Circuit Coregulated by Circadian and Diurnal Cycles.Biophysical journal · 2020Article
- Computational Modeling Reveals Frequency Modulation of Calcium-cAMP/PKA Pathway in Dendritic Spines.Biophysical journal · 2019Article
- An incoherent feed-forward loop switches the Arabidopsis clock rapidly between two hysteretic states.Scientific reports · 2018Article
- New concepts in feedback regulation of glucose metabolism.Current opinion in systems biology · 2018Article
- Network Motifs Capable of Decoding Transcription Factor Dynamics.Scientific reports · 2018Article
- Late-Arriving Signals Contribute Less to Cell-Fate Decisions.Biophysical journal · 2017Article
- Elements of biological oscillations in time and space.Nature structural & molecular biology · 2016Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
From the timing of amoeba development to the maintenance of stem cell pluripotency, many biological signaling pathways exhibit the ability to differentiate between pulsatile and sustained signals in the regulation of downstream gene expression. While the networks underlying this signal decoding are diverse, many are built around a common motif, the incoherent feedforward loop (IFFL), where an input simultaneously activates an output and an inhibitor of the output. With appropriate parameters, this motif can exhibit temporal adaptation, where the system is desensitized to a sustained input. This property serves as the foundation for distinguishing input signals with varying temporal profiles. Here, we use quantitative modeling to examine another property of IFFLs-the ability to process oscillatory signals. Our results indicate that the system's ability to translate pulsatile dynamics is limited by two constraints. The kinetics of the IFFL components dictate the input range for which the network is able to decode pulsatile dynamics. In addition, a match between the network parameters and input signal characteristics is required for optimal "counting". We elucidate one potential mechanism by which information processing occurs in natural networks, and our work has implications in the design of synthetic gene circuits for this purpose.
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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.