Automatic synchronisation of the cell cycle in budding yeast through closed-loop feedback control
Autor: | Perrino, Giansimone, Napolitano, Sara, Galdi, Francesca, La Regina, Antonella, Fiore, Davide, Giuliano, Teresa, di Bernardo, Mario, di Bernardo, Diego |
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Přispěvatelé: | Perrino, G., Napolitano, S., Galdi, F., La Regina, A., Fiore, D., Giuliano, T., di Bernardo, M., di Bernardo, D. |
Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
0209 industrial biotechnology Computer science General Physics and Astronomy 02 engineering and technology Microfluidic Analytical Technique GTP Phosphohydrolases GTP Phosphohydrolase Synthetic biology 020901 industrial engineering & automation Control theory Genes Reporter Gene Expression Regulation Fungal Membrane Protein Feedback Physiological education.field_of_study Multidisciplinary Lab-on-a-chip Cell Cycle Luminescent Protein Process (computing) Replicate Microfluidic Analytical Techniques Cell cycle Cyclin Algorithm Saccharomyces cerevisiae Protein Algorithms Saccharomyces cerevisiae Proteins Science Population Bacterial Protein Saccharomyces cerevisiae Models Biological Article General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Bacterial Proteins Cyclins education Automation Laboratory Organisms Genetically Modified Membrane Proteins Control engineering General Chemistry Yeast Culture Media Luminescent Proteins 030104 developmental biology Interfacing |
Zdroj: | Nature Communications Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021) |
ISSN: | 2041-1723 |
DOI: | 10.1038/s41467-021-22689-w |
Popis: | 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. It is difficult to synchronize the cell cycle in a population of yeast cells for extended periods of time. Here the authors use a cybergenetic system with inbuilt feedback to synchronize a population of modified yeast. |
Databáze: | OpenAIRE |
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