Dataset Information

Methionine restriction and cancer treatment: a systems biology study of yeast to investigate the possible key players.

ABSTRACT:

Background/aim

Dietary restriction, mainly carbon and/or methionine restriction are among the upcoming supporting interventions along with chemotherapy in various cancers. Although dietary restriction has been proven to be beneficial, the main cellular machineries affected by its administration lacks deeper information considerably, a notable pitfall in its use as a personalized nutritional approach.

Materials and methods

In this study, cellular effects of methionine restriction on a yeast model are explored via systems biology approaches. The methionine biosynthesis network, constructed by integrating interaction data with gene ontology terms, was analysed topologically, and proved to be informative about the intertwined relationship of methionine biosynthesis and cancer. Experimentally, effects of methionine restriction on the yeast model were explored in vivo, with transcriptome analyses.

Results

The integrative analysis of the transcriptional data together with the reconstructed network gave insight into cellular machineries such as TOR, MAPK, and sphingolipid-mediated signaling cascades as the mostly responsive cellular pathways in the methionine-restricted cases with Sch9p (functional orthologue of mammalian S6 kinase) being placed at the intersection of these signaling routes.

SUBMITTER: Borklu E

PROVIDER: S-EPMC10388026 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Methionine restriction and cancer treatment: a systems biology study of yeast to investigate the possible key players.

Börklü Esra E

Turkish journal of biology = Turk biyoloji dergisi 20230523 3

<h4>Background/aim</h4>Dietary restriction, mainly carbon and/or methionine restriction are among the upcoming supporting interventions along with chemotherapy in various cancers. Although dietary restriction has been proven to be beneficial, the main cellular machineries affected by its administration lacks deeper information considerably, a notable pitfall in its use as a personalized nutritional approach.<h4>Materials and methods</h4>In this study, cellular effects of methionine restriction o ...[more]

PMID: 37529420

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Project description:Every protein has a biosynthetic cost to the cell based on the synthesis of its constituent amino acids. In order to optimise growth and reproduction, natural selection is expected, where possible, to favour the use of proteins whose constituents are cheaper to produce, as reduced biosynthetic cost may confer a fitness advantage to the organism. Quantifying the cost of amino acid biosynthesis presents challenges, since energetic requirements may change across different cellular and environmental conditions. We developed a systems biology approach to estimate the cost of amino acid synthesis based on genome-scale metabolic models and investigated the effects of the cost of amino acid synthesis on Saccharomyces cerevisiae gene expression and protein evolution. First, we used our two new and six previously reported measures of amino acid cost in conjunction with codon usage bias, tRNA gene number and atomic composition to identify which of these factors best predict transcript and protein levels. Second, we compared amino acid cost with rates of amino acid substitution across four species in the genus Saccharomyces. Regardless of which cost measure is used, amino acid biosynthetic cost is weakly associated with transcript and protein levels. In contrast, we find that biosynthetic cost and amino acid substitution rates show a negative correlation, but for only a subset of cost measures. In the economy of the yeast cell, we find that the cost of amino acid synthesis plays a limited role in shaping transcript and protein expression levels compared to that of translational optimisation. Biosynthetic cost does, however, appear to affect rates of amino acid evolution in Saccharomyces, suggesting that expensive amino acids may only be used when they have specific structural or functional roles in protein sequences. However, as there appears to be no single currency to compute the cost of amino acid synthesis across all cellular and environmental conditions, we conclude that a systems approach is necessary to unravel the full effects of amino acid biosynthetic cost in complex biological systems.

Project description:BackgroundRestriction-modification (R-M) systems are rudimentary bacterial immune systems. The main components include restriction enzyme (R), which cuts specific unmethylated DNA sequences, and the methyltransferase (M), which protects the same DNA sequences. The expression of R-M system components is considered to be tightly regulated, to ensure successful establishment in a naïve bacterial host. R-M systems are organized in different architectures (convergent or divergent) and are characterized by different features, i.e. binding cooperativities, dissociation constants of dimerization, translation rates, which ensure this tight regulation. It has been proposed that R-M systems should exhibit certain dynamical properties during the system establishment, such as: i) a delayed expression of R with respect to M, ii) fast transition of R from "OFF" to "ON" state, iii) increased stability of the toxic molecule (R) steady-state levels. It is however unclear how different R-M system features and architectures ensure these dynamical properties, particularly since it is hard to address this question experimentally.ResultsTo understand design of different R-M systems, we computationally analyze two R-M systems, representative of the subset controlled by small regulators called 'C proteins', and differing in having convergent or divergent promoter architecture. We show that, in the convergent system, abolishing any of the characteristic system features adversely affects the dynamical properties outlined above. Moreover, an extreme binding cooperativity, accompanied by a very high dissociation constant of dimerization, observed in the convergent system, but absent from other R-M systems, can be explained in terms of the same properties. Furthermore, we develop the first theoretical model for dynamics of a divergent R-M system, which does not share any of the convergent system features, but has overlapping promoters. We show that i) the system dynamics exhibits the same three dynamical properties, ii) introducing any of the convergent system features to the divergent system actually diminishes these properties.ConclusionsOur results suggest that different R-M architectures and features may be understood in terms of constraints imposed by few simple dynamical properties of the system, providing a unifying framework for understanding these seemingly diverse systems. We also provided predictions for the perturbed R-M systems dynamics, which may in future be tested through increasingly available experimental techniques, such as re-engineering R-M systems and single-cell experiments.

Dataset Information

Methionine restriction and cancer treatment: a systems biology study of yeast to investigate the possible key players.

Background/aim

Materials and methods

Results

Publications

Methionine restriction and cancer treatment: a systems biology study of yeast to investigate the possible key players.

Similar Datasets

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