ArticleNature communications2021
Automatic synchronisation of the cell cycle in budding yeast through closed-loop feedback control.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Optimizing scheduling in dual-pulse nucleoside labeling experiments for cell-cycle analysis.Biophysical journal · 2026Article
- Stochastic phenotypic switching arises in response to directional selection in experimentally evolved multicellular yeast.Communications biology · 2025Article
- Article
- Study of impacts of two types of cellular aging on the yeast bud morphogenesis.PLoS computational biology · 2024Article
- Ratiometric control of cell phenotypes in monostrain microbial consortia.Journal of the Royal Society, Interface · 2022Article
- Exploiting Information and Control Theory for Directing Gene Expression in Cell Populations.Frontiers in microbiology · 2022Review
- A frequency-amplitude coordinator and its optimal energy consumption for biological oscillators.Nature communications · 2021Article
- Automatic synchronisation of the cell cycle in budding yeast through closed-loop feedback control.Nature communications · 2021Article
- Synthesis of Programmable Bioelectronic Yeast for Biohybrid Futures.Engineering biologyReview
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cell cycle is the process by which eukaryotic cells replicate. Yeast cells cycle asynchronously with each cell in the population budding at a different time. Although there are several experimental approaches to synchronise cells, these usually work only in the short-term. Here, we build a cyber-genetic system to achieve long-term synchronisation of the cell population, by interfacing genetically modified yeast cells with a computer by means of microfluidics to dynamically change medium, and a microscope to estimate cell cycle phases of individual cells. The computer implements a controller algorithm to decide when, and for how long, to change the growth medium to synchronise the cell-cycle across the population. Our work builds upon solid theoretical foundations provided by Control Engineering. In addition to providing an avenue for yeast cell cycle synchronisation, our work shows that control engineering can be used to automatically steer complex biological processes towards desired behaviours similarly to what is currently done with robots and autonomous vehicles.
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Registered trials
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