Talemi2014 - Arsenic toxicity and detoxification mechanisms in yeast

Model Identifier
BIOMD0000000547
Short description
Talemi2014 - Arsenic toxicity and detoxification mechanisms in yeast
The model implements arsenite (AsIII) transport regulation, its distribution within main cellular AsIII pools and detoxification. The intracellular As pools considered are free AsIII (AsIIIin), protein-bound AsIII (AsIIIprot), glutathione conjugated AsIII (AsGS3) and vacuolar sequestered AsIII (vAsGS3).

This model is described in the article:

Talemi SR, Jacobson T, Garla V, Navarrete C, Wagner A, Tamás MJ, Schaber J.
Mol. Microbiol. 2014 Jun; 92(6): 1343-1356

Abstract:

Arsenic has a dual role as causative and curative agent of human disease. Therefore, there is considerable interest in elucidating arsenic toxicity and detoxification mechanisms. By an ensemble modelling approach, we identified a best parsimonious mathematical model which recapitulates and predicts intracellular arsenic dynamics for different conditions and mutants, thereby providing novel insights into arsenic toxicity and detoxification mechanisms in yeast, which could partly be confirmed experimentally by dedicated experiments. Specifically, our analyses suggest that: (i) arsenic is mainly protein-bound during short-term (acute) exposure, whereas glutathione-conjugated arsenic dominates during long-term (chronic) exposure, (ii) arsenic is not stably retained, but can leave the vacuole via an export mechanism, and (iii) Fps1 is controlled by Hog1-dependent and Hog1-independent mechanisms during arsenite stress. Our results challenge glutathione depletion as a key mechanism for arsenic toxicity and instead suggest that (iv) increased glutathione biosynthesis protects the proteome against the damaging effects of arsenic and that (v) widespread protein inactivation contributes to the toxicity of this metalloid. Our work in yeast may prove useful to elucidate similar mechanisms in higher eukaryotes and have implications for the use of arsenic in medical therapy.

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Format
SBML (L2V4)
Related Publication
  • Mathematical modelling of arsenic transport, distribution and detoxification processes in yeast. Click here to expand
  • Soheil Rastgou Talemi, Therese Jacobson, Vijay Garla, Clara Navarrete, Annemarie Wagner, Markus J Tamás, Jörg Schaber
  • Molecular microbiology , 6/ 2014 , Volume 92 , Issue 6 , pages: 1343-1356 , PubMed ID: 24798644
  • Institute for Experimental Internal Medicine, Medical Faculty, Otto-von-Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany.
  • Arsenic has a dual role as causative and curative agent of human disease. Therefore, there is considerable interest in elucidating arsenic toxicity and detoxification mechanisms. By an ensemble modelling approach, we identified a best parsimonious mathematical model which recapitulates and predicts intracellular arsenic dynamics for different conditions and mutants, thereby providing novel insights into arsenic toxicity and detoxification mechanisms in yeast, which could partly be confirmed experimentally by dedicated experiments. Specifically, our analyses suggest that: (i) arsenic is mainly protein-bound during short-term (acute) exposure, whereas glutathione-conjugated arsenic dominates during long-term (chronic) exposure, (ii) arsenic is not stably retained, but can leave the vacuole via an export mechanism, and (iii) Fps1 is controlled by Hog1-dependent and Hog1-independent mechanisms during arsenite stress. Our results challenge glutathione depletion as a key mechanism for arsenic toxicity and instead suggest that (iv) increased glutathione biosynthesis protects the proteome against the damaging effects of arsenic and that (v) widespread protein inactivation contributes to the toxicity of this metalloid. Our work in yeast may prove useful to elucidate similar mechanisms in higher eukaryotes and have implications for the use of arsenic in medical therapy.
Contributors
Submitter of the first revision: Soheil Rastgou Talemi
Submitter of this revision: Lucian Smith
Curator: Lucian Smith

Metadata information

is (2 statements)
BioModels Database BIOMD0000000547
BioModels Database MODEL1403280000

isDescribedBy (1 statement)
PubMed 24798644

hasTaxon (1 statement)
isVersionOf (1 statement)
hasProperty (1 statement)
Mathematical Modelling Ontology Ordinary differential equation model


Curation status
Curated


Connected external resources