ReviewBMC biology2016
An engineering viewpoint on biological robustness.
Review in BMC biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 65 citations in OpenAlex.
- Signal Amplification in the HPT Axis-Evidence for Its Existence, Location, Significance, and Molecular Mechanisms.Acta physiologica (Oxford, England) · 2026Review
- Feedback Control and Sensitivity Analysis in Synthetic Gene Circuits.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Transition Processes in Technological Systems: Inspiration from Processes in Biological Evolution.Biomimetics (Basel, Switzerland) · 2025Article
- Fundamental Trade-Offs in the Robustness of Biological Systems with Feedback Regulation.ACS synthetic biology · 2025Article
- Autonomous learning of generative models with chemical reaction network ensembles.Journal of the Royal Society, Interface · 2025Article
- IeLife · 2024Article
- IbioRxiv : the preprint server for biology · 2024Article
- Homeostasis in networks with multiple inputs.Journal of mathematical biology · 2024Article
- Design patterns of biological cells.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024Review
- Getting it right: suppression and leveraging of noise in robust decision-making.Quantitative plant biology · 2024Review
- Sensitivity analysis of biochemical systems using bond graphs.Journal of the Royal Society, Interface · 2023Article
- Longevity of System Functions in Biology and Biomimetics: A Matter of Robustness and Resilience.Biomimetics (Basel, Switzerland) · 2023Review
- Vertex results for the robust analysis of uncertain biochemical systems.Journal of mathematical biology · 2022Article
- A synthetic synthesis to explore animal evolution and development.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
- Synthetic robust perfect adaptation achieved by negative feedback coupling with linear weak positive feedback.Nucleic acids research · 2022Article
- Systems for intricate patterning of the vertebrate anatomy.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Article
- Autonomous and Assisted Control for Synthetic Microbiology.International journal of molecular sciences · 2020Review
- Bottom-Up Construction of Complex Biomolecular Systems With Cell-Free Synthetic Biology.Frontiers in bioengineering and biotechnology · 2020Review
- Synthetic negative feedback circuits using engineered small RNAs.Nucleic acids research · 2018Article
- Robustness, Accuracy, and Cell State Heterogeneity in Biological Systems.Current opinion in systems biology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In his splendid article "Can a biologist fix a radio?--or, what I learned while studying apoptosis," Y. Lazebnik argues that when one uses the right tools, similarity between a biological system, like a signal transduction pathway, and an engineered system, like a radio, may not seem so superficial. Here I advance this idea by focusing on the notion of robustness as a unifying lens through which to view complexity in biological and engineered systems. I show that electronic amplifiers and gene expression circuits share remarkable similarities in their dynamics and robustness properties. I explore robustness features and limitations in biology and engineering and highlight the role of negative feedback in shaping both.
Indexed as
Identifiers
What OpenQuestion holds
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.