Proteomics

Dataset Information

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A proteome-integrated, carbon source dependent genetic regulatory network in Saccharomyces cerevisiae


ABSTRACT: We propose a carbon source dependent genetic regulatory network for the budding yeast Saccharomyces cerevisiae, derived from quantitative proteomic analyses integrated with bioinformatics knowledge of regulatory pathways and protein interactions. The proposed network, comprising 1247 transcription factor interactions and 126 chaperone interactions, defines the proteome shift in the cell when growing under different carbon sources. We used a label-free proteomics strategy to quantify alterations in protein abundance for S. cerevisiae when grown on minimal media using glucose, galactose, maltose and trehalose as sole carbon sources.

INSTRUMENT(S): Q Exactive

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

SUBMITTER: Manuel Garcia-Albornoz  

LAB HEAD: Simon Hubbard

PROVIDER: PXD009420 | Pride | 2021-03-22

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Gal1.raw Raw
Gal2.raw Raw
Gal3.raw Raw
Gal4.raw Raw
Gluc1.raw Raw
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