Proteomics

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Iron deficiency and recovery in yeast: a quantitative proteomics approach


ABSTRACT: A model used to study iron deficiency is yeast, Saccharomyces cerevisiae. Here, we used quantitative (phospho)proteomics to explore the early (4h and 6h) and late (12h) response to ID. We showed that metabolic pathways like the Krebs cycle, amino acid and ergosterol biosynthesis were affected by ID. In addition, during the late response, several proteins related to the ubiquitin-proteasome system and autophagy were upregulated. We also explored the proteomic changes during a recovery period after 12h of ID. We found that several proteins recovered their steady-state levels, but some others such as cytochromes did not recover during the time tested. Our results highlight the complex proteome changes occurring during ID and recovery. This study constitutes a valuable dataset for researchers interested in iron biology, offering a temporal proteomic dataset for ID, as well as a compendium the proteomic changes associated with episodes of iron recovery

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Jose Navarrete Perea  

LAB HEAD: Steven P.Gygi

PROVIDER: PXD023484 | Pride | 2022-05-19

REPOSITORIES: Pride

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Iron Deficiency and Recovery in Yeast: A Quantitative Proteomics Approach.

Navarrete-Perea Jose J   Guerra-Moreno Angel A   Van Vranken Jonathan J   Isasa Marta M   Paulo Joao A JA   Gygi Steven P SP  

Journal of proteome research 20210402 5


Iron is an essential element for life, as it is critical for oxygen transport, cellular respiration, DNA synthesis, and metabolism. Disruptions in iron metabolism have been associated with several complex diseases like diabetes, cancer, infection susceptibility, neurodegeneration, and others; however, the molecular mechanisms linking iron metabolism with these diseases are not fully understood. A commonly used model to study iron deficiency (ID) is yeast, <i>Saccharomyces cerevisiae</i>. Here, w  ...[more]

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