Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

The metabolic responce to iron deficiency in Saccharomyces cerevisiae


ABSTRACT: Iron is an essential cofactor for enzymes involved in numerous cellular processes. We analyzed the metabolomes and transcriptomes of yeast grown in iron-rich and iron-poor media to determine which biosynthetic processes are altered when iron availability falls. Saccharomyces cerevisiae DBY7286 strain was grown from very low density to mid-log phase (A600 = 0.5, approximately 18 hrs.) in defined-iron SD minimal medium containing only the supplements necessary to meet auxotrophic requirements. Defined-iron SD minimal media were prepared with yeast nitrogen base lacking iron and copper, supplemented with 1 µM copper sulfate, 25 mM MES pH 6.1, 1 mM Ferrozine (Fluka), and the indicated concentrations of ferrous ammonium sulfate 10 µM (low iron) or 300 µM (high iron). All cells were grown at 30°C with shaking and four independent cultures were prepared for each growth condition

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Caroline Philpott 

PROVIDER: E-GEOD-19016 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Metabolic response to iron deficiency in Saccharomyces cerevisiae.

Shakoury-Elizeh Minoo M   Protchenko Olga O   Berger Alvin A   Cox James J   Gable Kenneth K   Dunn Teresa M TM   Prinz William A WA   Bard Martin M   Philpott Caroline C CC  

The Journal of biological chemistry 20100315 19


Iron is an essential cofactor for enzymes involved in numerous cellular processes, yet little is known about the impact of iron deficiency on cellular metabolism or iron proteins. Previous studies have focused on changes in transcript and proteins levels in iron-deficient cells, yet these changes may not reflect changes in transport activity or flux through a metabolic pathway. We analyzed the metabolomes and transcriptomes of yeast grown in iron-rich and iron-poor media to determine which biosy  ...[more]

Similar Datasets

2018-12-21 | GSE108380 | GEO
2010-10-27 | E-GEOD-23498 | biostudies-arrayexpress
2011-11-01 | E-GEOD-24968 | biostudies-arrayexpress
2017-06-20 | GSE89109 | GEO
2009-08-26 | GSE9748 | GEO
2013-08-03 | GSE49528 | GEO
2008-09-30 | E-GEOD-11811 | biostudies-arrayexpress
2011-05-16 | GSE29320 | GEO
2011-05-16 | GSE29319 | GEO
2012-03-07 | E-GEOD-27985 | biostudies-arrayexpress