The Escherichia coli cell cycle is a classic, but we are still missing some of its essential aspects. The reason is that our knowledge is mostly based on population data, and our grasp of the behavior of single cells is still very limited. Today, new dynamic single-cell data promise to overcome this barrier. Existing data from single cells have already led to findings and hypotheses that challenge standard views, and have raised new questions. Here, we review these recent developments and propose that a systematic exploration of the correlation patterns between 'cell-cycle intervals' defined by key molecular events measured in many single cells could lead to a quantitative characterization of the cell cycle in terms of inherent stochasticity and homeostatic controls.

Step by Step, Cell by Cell: Quantification of the Bacterial Cell Cycle / M. Osella, S.J. Tans, M. Cosentino Lagomarsino. - In: TRENDS IN MICROBIOLOGY. - ISSN 0966-842X. - 25:4(2017), pp. 250-256. [10.1016/j.tim.2016.12.005]

Step by Step, Cell by Cell: Quantification of the Bacterial Cell Cycle

Cosentino Lagomarsino, Marco
2017

Abstract

The Escherichia coli cell cycle is a classic, but we are still missing some of its essential aspects. The reason is that our knowledge is mostly based on population data, and our grasp of the behavior of single cells is still very limited. Today, new dynamic single-cell data promise to overcome this barrier. Existing data from single cells have already led to findings and hypotheses that challenge standard views, and have raised new questions. Here, we review these recent developments and propose that a systematic exploration of the correlation patterns between 'cell-cycle intervals' defined by key molecular events measured in many single cells could lead to a quantitative characterization of the cell cycle in terms of inherent stochasticity and homeostatic controls.
Cell Division, genetics, physiology; DNA Replication, genetics; DNA, Bacterial, genetics; Escherichia coli, genetics, growth & development, metabolism; Single-Cell Analysis, methods; E. coli; cell cycle; division homeostasis; key intervals; replication initiation; stochasticity
Settore FIS/02 - Fisica Teorica, Modelli e Metodi Matematici
Settore BIO/11 - Biologia Molecolare
Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin)
TRENDS IN MICROBIOLOGY
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/608084
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