Literature DB >> 19085920

Analysis and modeling of growing budding yeast populations at the single cell level.

Danilo Porro1, Marina Vai, Marco Vanoni, Lilia Alberghina, Christos Hatzis.   

Abstract

Model organisms and in particular the budding yeast Saccharomyces cerevisiae have been instrumental in advancing our understanding of cell cycle progression. The asymmetric division of the budding yeast and the tight coupling between cell growth and division have challenged the theoretical understanding of the cell size structure of growing yeast populations. Past efforts have centered on modeling the steady-state theoretical age distribution for asymmetric division from which a cell size distribution can be derived assuming dispersion of cell size within each age class. Different developments, especially in the field of flow cytometry, allowed the determination of a number of cellular properties and their joint distributions for the entire population and the different subpopulations as well. A new rigorous framework for modeling directly the dynamics of size distributions of structured yeast populations has been proposed, which readily extends to modeling of more complex conditions, such as transient growth. Literature on the structure of growing yeast populations and modeling of cell cycle progression is reviewed. Copyright 2008 International Society for Advancement of Cytometry

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Year:  2009        PMID: 19085920     DOI: 10.1002/cyto.a.20689

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  8 in total

1.  Switch between life history strategies due to changes in glycolytic enzyme gene dosage in Saccharomyces cerevisiae.

Authors:  Shaoxiao Wang; Aymé Spor; Thibault Nidelet; Pierre Montalent; Christine Dillmann; Dominique de Vienne; Delphine Sicard
Journal:  Appl Environ Microbiol       Date:  2010-11-12       Impact factor: 4.792

2.  Analysis of the effect of inoculum characteristics on the first stages of a growing yeast population in beer fermentations by means of an individual-based model.

Authors:  M Ginovart; C Prats; X Portell; M Silbert
Journal:  J Ind Microbiol Biotechnol       Date:  2010-09-03       Impact factor: 3.346

3.  Single-cell microfluidic impedance cytometry: from raw signals to cell phenotypes using data analytics.

Authors:  Carlos Honrado; Paolo Bisegna; Nathan S Swami; Federica Caselli
Journal:  Lab Chip       Date:  2021-01-05       Impact factor: 6.799

Review 4.  Glucose signaling-mediated coordination of cell growth and cell cycle in Saccharomyces cerevisiae.

Authors:  Stefano Busti; Paola Coccetti; Lilia Alberghina; Marco Vanoni
Journal:  Sensors (Basel)       Date:  2010-06-21       Impact factor: 3.576

5.  Use of chemostat cultures mimicking different phases of wine fermentations as a tool for quantitative physiological analysis.

Authors:  Felícitas Vázquez-Lima; Paulina Silva; Antonio Barreiro; Rubén Martínez-Moreno; Pilar Morales; Manuel Quirós; Ramón González; Joan Albiol; Pau Ferrer
Journal:  Microb Cell Fact       Date:  2014-06-13       Impact factor: 5.328

6.  Construction of hybrid regulated mother-specific yeast promoters for inducible differential gene expression.

Authors:  Georgios Pothoulakis; Tom Ellis
Journal:  PLoS One       Date:  2018-03-22       Impact factor: 3.240

7.  Is the diatom sex clock a clock?

Authors:  Thomas Fuhrmann-Lieker; Nico Kubetschek; Jonas Ziebarth; Roland Klassen; Werner Seiler
Journal:  J R Soc Interface       Date:  2021-06-16       Impact factor: 4.118

8.  Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy.

Authors:  Anna-Maria Marbà-Ardébol; Jörn Emmerich; Michael Muthig; Peter Neubauer; Stefan Junne
Journal:  Microb Cell Fact       Date:  2018-05-15       Impact factor: 5.328

  8 in total

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