Literature DB >> 33907191

Automatic synchronisation of the cell cycle in budding yeast through closed-loop feedback control.

Giansimone Perrino1, Sara Napolitano1,2, Francesca Galdi1, Antonella La Regina1, Davide Fiore3, Teresa Giuliano1, Mario di Bernardo4,5, Diego di Bernardo6,7.   

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.

Entities:  

Year:  2021        PMID: 33907191     DOI: 10.1038/s41467-021-22689-w

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  1 in total

1.  The CDK-APC/C Oscillator Predominantly Entrains Periodic Cell-Cycle Transcription.

Authors:  Sahand Jamal Rahi; Kresti Pecani; Andrej Ondracka; Catherine Oikonomou; Frederick R Cross
Journal:  Cell       Date:  2016-04-07       Impact factor: 41.582

  1 in total
  2 in total

Review 1.  Exploiting Information and Control Theory for Directing Gene Expression in Cell Populations.

Authors:  Lucas Henrion; Mathéo Delvenne; Fatemeh Bajoul Kakahi; Fabian Moreno-Avitia; Frank Delvigne
Journal:  Front Microbiol       Date:  2022-04-25       Impact factor: 5.640

2.  Ratiometric control of cell phenotypes in monostrain microbial consortia.

Authors:  Davide Salzano; Davide Fiore; Mario di Bernardo
Journal:  J R Soc Interface       Date:  2022-07-13       Impact factor: 4.293

  2 in total

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