Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Mating response of three yeast species (S. cerevisiae, S. paradoxus and S. mikatae)

ABSTRACT: We examined the mating response of three yeast species, by subjecting a-type cells from each of them to alpha-factor (6uM). The expression of cells before and after (60min) addition of alpha-factor were compared using S. cerevisiae cDNA microarrays. In addition, we verified our results with a true mating experiment: the expression of a-type and alpha-type cells from S. cerevisiae were compared before and after mixing them for 90 minutes (i.e. allowing them to mate). Keywords: yeast mating response, comparison among species Three (or four) samples were processed in parallel for each species (biological replicates). All samples were measured by hybridization to S. cerevisiae cDNA microarray

ORGANISM(S): Saccharomyces paradoxus

SUBMITTER: Itay Tirosh

PROVIDER: E-GEOD-7525 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

High frequency of submicroscopic genomic aberrations detected by tiling path array comparative genome hybridisation in patients with isolated congenital heart disease.

Erdogan F F Larsen L A LA Zhang L L Tümer Z Z Tommerup N N Chen W W Jacobsen J R JR Schubert M M Jurkatis J J Tzschach A A Ropers H-H HH Ullmann R R

Journal of medical genetics 20080819 11

<h4>Background</h4>Congenital heart disease (CHD) is the most common birth defect and affects nearly 1% of newborns. The aetiology of CHD is largely unknown and only a small percentage can be assigned to environmental risk factors such as maternal diseases or exposure to mutagenic agents during pregnancy. Chromosomal imbalances have been identified in many forms of syndromic CHD, but very little is known about the impact of DNA copy number changes in non-syndromic CHD.<h4>Method</h4>A sub-megaba ...[more]

PMID: 18713793

Similar Datasets

Project description:Cells must adjust their gene expression in order to compete in a constantly changing environment. Two alternative strategies could in principle ensure optimal coordination of gene expression with physiological requirement. First, the internal physiological state itself could feedback to regulated gene expression. Second, the expected physiological state could be inferred from the external environment, using evolutionary-tuned signaling pathways. Coordination of ribosomal biogenesis with the requirement for protein synthesis appears to be particularly important, since cells devote a large fraction of their biosynthetic capacity for ribosomal biogenesis. To define the relative importance of internal vs. external sensing to the regulation of ribosomal biogenesis gene expression, we subjected S. cerevisiae cells to conditions which decoupled the actual vs. environmentally-expected growth rate. Gene expression followed the environmental signal according to the expected, but not the actual, growth rate. Simultaneous monitoring of gene expression and growth rate in chemostat-grown cultures further confirmed that ribosome biogenesis genes responded rapidly to changes in the environments but were oblivious to longer-term changes in growth rate. Our results suggest that the capacity to anticipate and prepare for environmental changes presented a major selection force during yeast evolution. Keywords: Saccharomyces_Cerevisiae, Stress response, ADH1 deletion, time courses, chemostat Experiment 1: ADH1 deletion cells, which grow faster on glycerol rather then glucose medium, were grown in both glucose and glycerol medium. The cells expression on glycerol is compared to their expression glucose (5 microarrays). Experiment 2: Time course of ADH1 deletion cells upon growth on glycerol and on glucose (7 microarrays). Experiment 3: Response of steady state grown cells to environmental perturbations. Cells were grown in glucose or histidine limited chemostats and reached steady state. The cells were then subjected to perturbations such as DTT, heat shock, NaCl, Clotrimazole, H2O2, and addition of limiting factors (histidine and glucose, respectively). Overall we have examined 10 timecourses with 83 microarrays.

Dataset Information

Mating response of three yeast species (S. cerevisiae, S. paradoxus and S. mikatae)

Publications

High frequency of submicroscopic genomic aberrations detected by tiling path array comparative genome hybridisation in patients with isolated congenital heart disease.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure