Literature DB >> 19465107

Systems biology of the cell cycle of Saccharomyces cerevisiae: From network mining to system-level properties.

Lilia Alberghina1, Paola Coccetti2, Ivan Orlandi2.   

Abstract

Following a brief description of the operational procedures of systems biology (SB), the cell cycle of budding yeast is discussed as a successful example of a top-down SB analysis. After the reconstruction of the steps that have led to the identification of a sizer plus timer network in the G1 to S transition, it is shown that basic functions of the cell cycle (the setting of the critical cell size and the accuracy of DNA replication) are system-level properties, detected only by integrating molecular analysis with modelling and simulation of their underlying networks. A detailed network structure of a second relevant regulatory step of the cell cycle, the exit from mitosis, derived from extensive data mining, is constructed and discussed. To reach a quantitative understanding of how nutrients control, through signalling, metabolism and transcription, cell growth and cycle is a very relevant aim of SB. Since we know that about 900 gene products are required for cell cycle execution and control in budding yeast, it is quite clear that a purely systematic approach would require too much time. Therefore lines for a modular SB approach, which prioritises molecular and computational investigations for faster cell cycle understanding, are proposed. The relevance of the insight coming from the cell cycle SB studies in developing a new framework for tackling very complex biological processes, such as cancer and aging, is discussed.

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Year:  2009        PMID: 19465107     DOI: 10.1016/j.biotechadv.2009.05.021

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  10 in total

1.  Protein kinase CK2 holoenzyme promotes start-specific transcription in Saccharomyces cerevisiae.

Authors:  Farida Tripodi; Raffaele Nicastro; Sara Busnelli; Claudia Cirulli; Elisa Maffioli; Gabriella Tedeschi; Lilia Alberghina; Paola Coccetti
Journal:  Eukaryot Cell       Date:  2013-07-19

2.  The transcription factor Swi4 is target for PKA regulation of cell size at the G1 to S transition in Saccharomyces cerevisiae.

Authors:  Loredana Amigoni; Sonia Colombo; Fiorella Belotti; Lilia Alberghina; Enzo Martegani
Journal:  Cell Cycle       Date:  2015-06-05       Impact factor: 4.534

Review 3.  Dynamic modelling of oestrogen signalling and cell fate in breast cancer cells.

Authors:  John J Tyson; William T Baumann; Chun Chen; Anael Verdugo; Iman Tavassoly; Yue Wang; Louis M Weiner; Robert Clarke
Journal:  Nat Rev Cancer       Date:  2011-06-16       Impact factor: 60.716

4.  Mathematical modelling of DNA replication reveals a trade-off between coherence of origin activation and robustness against rereplication.

Authors:  Anneke Brümmer; Carlos Salazar; Vittoria Zinzalla; Lilia Alberghina; Thomas Höfer
Journal:  PLoS Comput Biol       Date:  2010-05-13       Impact factor: 4.475

Review 5.  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

6.  Cancer cell growth and survival as a system-level property sustained by enhanced glycolysis and mitochondrial metabolic remodeling.

Authors:  Lilia Alberghina; Daniela Gaglio; Cecilia Gelfi; Rosa M Moresco; Giancarlo Mauri; Paola Bertolazzi; Cristina Messa; Maria C Gilardi; Ferdinando Chiaradonna; Marco Vanoni
Journal:  Front Physiol       Date:  2012-09-12       Impact factor: 4.566

7.  Discovery of possible gene relationships through the application of self-organizing maps to DNA microarray databases.

Authors:  Rocio Chavez-Alvarez; Arturo Chavoya; Andres Mendez-Vazquez
Journal:  PLoS One       Date:  2014-04-03       Impact factor: 3.240

Review 8.  The Regulatory Role of Key Metabolites in the Control of Cell Signaling.

Authors:  Riccardo Milanesi; Paola Coccetti; Farida Tripodi
Journal:  Biomolecules       Date:  2020-06-05

9.  Genetic interactions derived from high-throughput phenotyping of 6589 yeast cell cycle mutants.

Authors:  Jenna E Gallegos; Neil R Adames; Mark F Rogers; Pavel Kraikivski; Aubrey Ibele; Kevin Nurzynski-Loth; Eric Kudlow; T M Murali; John J Tyson; Jean Peccoud
Journal:  NPJ Syst Biol Appl       Date:  2020-05-06

10.  Methionine Supplementation Affects Metabolism and Reduces Tumor Aggressiveness in Liver Cancer Cells.

Authors:  Farida Tripodi; Beatrice Badone; Marta Vescovi; Riccardo Milanesi; Simona Nonnis; Elisa Maffioli; Marcella Bonanomi; Daniela Gaglio; Gabriella Tedeschi; Paola Coccetti
Journal:  Cells       Date:  2020-11-16       Impact factor: 6.600

  10 in total

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