Iron Homeostatic Regulation in Saccharomyces cerevisiae: Introduction to a Computational Modeling Method.

Paul A Lindahl

Journal: Methods in molecular biology (Clifton, N.J.) 2024;2839():3-29

PMID: 39008245

Abstract

Over the past 30 years, much has been learned regarding iron homeostatic regulation in budding yeast, S. cerevisiae, including the identity of many of the proteins and molecular-level regulatory mechanisms involved. Most advances have involved inferring such mechanisms based on the analysis of iron-dysregulation phenotypes arising in various genetic mutant strains. Still lacking is a cellular- or system-level understanding of iron homeostasis. These experimental advances are summarized in this review, and a method for developing cellular-level regulatory mechanisms in yeast is presented. The method employs the results of Mössbauer spectroscopy of whole cells and organelles, iron quantification of the same, and ordinary differential equation-based mathematical models. Current models are simplistic when compared to the complexity of iron homeostasis in real cells, yet they hold promise as a useful, perhaps even required, complement to the popular genetics-based approach. The fundamental problem in comprehending cellular regulatory mechanisms is that, given the complexities involved, different molecular-level mechanisms can often give rise to virtually indistinguishable cellular phenotypes. Mathematical models cannot eliminate this problem, but they can minimize it.

© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Address: Departments of Chemistry and of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA. [email protected].

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