Proteomics

Dataset Information

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):

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

SUBMITTER: Jose Navarrete Perea  

LAB HEAD: Steven P.Gygi

PROVIDER: PXD023484 | Pride | 2022-05-19

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
ATGKO_peptides.tsv Tabular
ATGKO_protein.tsv Tabular
a09704_irondeficiencytimecourse.raw Raw
a09705_irondeficiencytimecourse.raw Raw
a09706_irondeficiencytimecourse.raw Raw
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