Literature DB >> 15814615

Structure theorems and the dynamics of nitrogen catabolite repression in yeast.

Erik M Boczko1, Terrance G Cooper, Tomas Gedeon, Konstantin Mischaikow, Deborah G Murdock, Siddharth Pratap, K Sam Wells.   

Abstract

By using current biological understanding, a conceptually simple, but mathematically complex, model is proposed for the dynamics of the gene circuit responsible for regulating nitrogen catabolite repression (NCR) in yeast. A variety of mathematical "structure" theorems are described that allow one to determine the asymptotic dynamics of complicated systems under very weak hypotheses. It is shown that these theorems apply to several subcircuits of the full NCR circuit, most importantly to the URE2-GLN3 subcircuit that is independent of the other constituents but governs the switching behavior of the full NCR circuit under changes in nitrogen source. Under hypotheses that are fully consistent with biological data, it is proven that the dynamics of this subcircuit is simple periodic behavior in synchrony with the cell cycle. Although the current mathematical structure theorems do not apply to the full NCR circuit, extensive simulations suggest that the dynamics is constrained in much the same way as that of the URE2-GLN3 subcircuit. This finding leads to the proposal that mathematicians study genetic circuits to find new geometries for which structure theorems may exist.

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Year:  2005        PMID: 15814615      PMCID: PMC556013          DOI: 10.1073/pnas.0501339102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  24 in total

1.  Kinetic analysis of translocation through nuclear pore complexes.

Authors:  K Ribbeck; D Görlich
Journal:  EMBO J       Date:  2001-03-15       Impact factor: 11.598

2.  The TOR signalling pathway controls nuclear localization of nutrient-regulated transcription factors.

Authors:  T Beck; M N Hall
Journal:  Nature       Date:  1999-12-09       Impact factor: 49.962

3.  Rapamycin-modulated transcription defines the subset of nutrient-sensitive signaling pathways directly controlled by the Tor proteins.

Authors:  J S Hardwick; F G Kuruvilla; J K Tong; A F Shamji; S L Schreiber
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-21       Impact factor: 11.205

Review 4.  Inferring cellular networks using probabilistic graphical models.

Authors:  Nir Friedman
Journal:  Science       Date:  2004-02-06       Impact factor: 47.728

5.  Variation in concentrations of RNAs and proteins involved in gene expression of Escherichia coli.

Authors:  J M Mahaffy
Journal:  J Theor Biol       Date:  1993-05-21       Impact factor: 2.691

Review 6.  What is the bacterial growth law during the division cycle?

Authors:  S Cooper
Journal:  J Bacteriol       Date:  1988-11       Impact factor: 3.490

7.  Partitioning the transcriptional program induced by rapamycin among the effectors of the Tor proteins.

Authors:  A F Shamji; F G Kuruvilla; S L Schreiber
Journal:  Curr Biol       Date:  2000 Dec 14-28       Impact factor: 10.834

Review 8.  Nitrogen catabolite repression in Saccharomyces cerevisiae.

Authors:  J Hofman-Bang
Journal:  Mol Biotechnol       Date:  1999-08       Impact factor: 2.695

9.  Tripartite regulation of Gln3p by TOR, Ure2p, and phosphatases.

Authors:  P G Bertram; J H Choi; J Carvalho; W Ai; C Zeng; T F Chan; X F Zheng
Journal:  J Biol Chem       Date:  2000-11-17       Impact factor: 5.157

10.  Phosphorylation regulates the interaction between Gln3p and the nuclear import factor Srp1p.

Authors:  J Carvalho; P G Bertram; S R Wente; X F Zheng
Journal:  J Biol Chem       Date:  2001-04-30       Impact factor: 5.157

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  11 in total

1.  Clustering in cell cycle dynamics with general response/signaling feedback.

Authors:  Todd R Young; Bastien Fernandez; Richard Buckalew; Gregory Moses; Erik M Boczko
Journal:  J Theor Biol       Date:  2011-10-08       Impact factor: 2.691

2.  Dynamics of a simple regulatory switch.

Authors:  Erik Boczko; Tomás Gedeon; Konstantin Mischaikow
Journal:  J Math Biol       Date:  2007-07-11       Impact factor: 2.259

3.  Regulation of yeast oscillatory dynamics.

Authors:  Douglas B Murray; Manfred Beckmann; Hiroaki Kitano
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-06       Impact factor: 11.205

4.  Oscillations in multi-stable monotone systems with slowly varying feedback.

Authors:  Tomáš Gedeon; Eduardo D Sontag
Journal:  J Differ Equ       Date:  2007-08-15       Impact factor: 2.430

5.  Cell cycle dynamics: clustering is universal in negative feedback systems.

Authors:  Nathan Breitsch; Gregory Moses; Erik Boczko; Todd Young
Journal:  J Math Biol       Date:  2014-05-10       Impact factor: 2.259

6.  Effect of 21 different nitrogen sources on global gene expression in the yeast Saccharomyces cerevisiae.

Authors:  Patrice Godard; Antonio Urrestarazu; Stéphan Vissers; Kevin Kontos; Gianluca Bontempi; Jacques van Helden; Bruno André
Journal:  Mol Cell Biol       Date:  2007-02-16       Impact factor: 4.272

7.  Transcriptomic analyses during the transition from biomass production to lipid accumulation in the oleaginous yeast Yarrowia lipolytica.

Authors:  Nicolas Morin; Julien Cescut; Athanasios Beopoulos; Gaëlle Lelandais; Veronique Le Berre; Jean-Louis Uribelarrea; Carole Molina-Jouve; Jean-Marc Nicaud
Journal:  PLoS One       Date:  2011-11-22       Impact factor: 3.240

8.  Noise propagation and signaling sensitivity in biological networks: a role for positive feedback.

Authors:  Gil Hornung; Naama Barkai
Journal:  PLoS Comput Biol       Date:  2007-12-05       Impact factor: 4.475

9.  Defining biological networks for noise buffering and signaling sensitivity using approximate Bayesian computation.

Authors:  Shuqiang Wang; Yanyan Shen; Changhong Shi; Tao Wang; Zhiming Wei; Hanxiong Li
Journal:  ScientificWorldJournal       Date:  2014-06-05

10.  Cell cycle dynamics in a response/signalling feedback system with a gap.

Authors:  Xue Gong; Richard Buckalew; Todd Young; Erik Boczko
Journal:  J Biol Dyn       Date:  2014       Impact factor: 2.179

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