SGD Paper Help



Tang F and Liu W  (2010) An age-dependent feedback control model of calcium dynamics in yeast cells. J Math Biol 60(6):849-79

Abstract: The functional decline of selected proteins or organelles leads to aging at the intracellular level. Identification of these proteins or organelles is usually challenging to traditional single-factor approaches since these factors are inter-connected via feedback or feedforward controls. Establishing a feedback control model to simulate the interactions of multiple factors is an insightful approach to guide the search for proteins involved in aging. However, there are only a few mathematical models describing the age-dependent accumulation of DNA mutations, which are directly or indirectly induced by deterioration of the intracellular environment including alteration of calcium homeostasis, a contributor of aging. Thus, based on Cui and Kaandorp's model, we develop an age-dependent mathematical model for the calcium homeostasis in budding yeast Saccharomyces cerevisiae. Our model contains cell cycle-dependent aging factors and can qualitatively reproduce calcium shocks and calcium accumulations in cells observed in experiments. Using this model, we predict calcium oscillations in wild type, pmc1Delta, and pmr1Delta cells. This prediction suggests that Pmr1p plays a major role in regulating cytosolic calcium. Combining the model with our experimental lifespan data, we predict an upper-limit of cytosolic calcium tolerance for cell survival. This prediction indicates that, for aged cells (>35 generations), no pmr1 Delta can tolerate the cytosolic calcium concentration of 0.1 muM while a very small fraction (1%) of aged wild type cells (>50 generations) can tolerate a high cytosolic calcium concentration of 0.5 muM.

Status: Published Type: Journal Article PubMed ID: 19672599

Topics addressed in this paper

Number of different genes curated to this paper: 2

  • To find other papers on a gene and topic, click on the colored ball in the appropriate box.
  • displays other papers with information about that topic for that gene.
  • displays other papers in SGD that are associated with that topic.
    The topic is addressed in these papers but does not describe a specific gene or chromosomal feature.
  • To go to the Locus page for a gene, click on the gene name.
Topics Topics not linked to Genes Genes linked to topics
PMC1 PMR1
Cell Cycle Phase Involved blue ball blue ball
Computational analysis blue ball blue ball
Function/Process blue ball blue ball
Genetic Interactions blue ball blue ball
Mutants/Phenotypes blue ball blue ball
Omics yg ball
Primary Literature blue ball blue ball
Protein Physical Properties blue ball blue ball
Strains/Constructs blue ball blue ball

Author Searches

To find contact information or other publications by the authors of this paper, follow these three steps:
  1. (1) Choose an author,
  2. (2) Choose a search parameter,
  3. (3) Click to implement