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
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