Background: Real-time RT-PCR is the recommended method for quantitative gene expression analysis. A compulsory step is the selection of good reference genes for normalization. A few genes often referred to as HouseKeeping Genes (HSK), such as ACT1, RDN18 or PDA1 are among the most commonly used, as their expression is assumed to remain unchanged over a wide range of conditions. Since this assumption is very unlikely, a geometric averaging of multiple, carefully selected internal control genes is now strongly recommended for normalization to avoid this problem of expression variation of single reference genes. The aim of this work was to search for a set of reference genes for reliable gene expression analysis in Saccharomyces cerevisiae. Results: From public microarray datasets, we selected potential reference genes whose expression remained apparently invariable during long-term growth on glucose. Using the algorithm geNorm, ALG9, TAF10, TFC1 and UBC6 turned out to be genes whose expression remained stable, independent of the growth conditions and the strain backgrounds tested in this study. We then showed that the geometric averaging of any subset of three genes among the six most stable genes resulted in very similar normalized data, which contrasted with inconsistent results among various biological samples when the normalization was performed with ACT1. Normalization with multiple selected genes was therefore applied to transcriptional analysis of genes involved in glycogen metabolism. We determined an induction ratio of 100-fold for GPH1 and 20-fold for GSY2 between the exponential phase and the diauxic shift on glucose. There was no induction of these two genes at this transition phase on galactose, although in both cases, the kinetics of glycogen accumulation was similar. In contrast, SGA1 expression was independent of the carbon source and increased by 3-fold in stationary phase. Conclusion: In this work, we provided a set of genes that are suitable reference genes for quantitative gene expression analysis by real-time RT-PCR in yeast biological samples covering a large panel of physiological states. In contrast, we invalidated and discourage the use of ACT1 as well as other commonly used reference genes (PDA1, TDH3, RDN18, etc) as internal controls for quantitative gene expression analysis in yeast.

Glycogen and trehalose are the two glucose stores of yeast cells. The large variations in the cell content of these two compounds in response to diff

Aim: The polysaccharide composition of the Saccharomyces cerevisiae cell wall was measured under various growth conditions and was compared with the cell wall structure. Methods and Results: Chemical...

One of the most powerful techniques for attributing functions to genes in uni- and multicellular organisms is comprehensive analysis of mutant traits. In this study, systematic and quantitative analyses of mutant traits are achieved in the budding yeast Saccharomyces cerevisiae by investigating morphological phenotypes. Analysis of fluorescent microscopic images of triple-stained cells makes it possible to treat morphological variations as quantitative traits. Deletion of nearly half of the yeast genes not essential for growth affects these morphological traits. Similar morphological phenotypes are caused by deletions of functionally related genes, enabling a functional assignment of a locus to a specific cellular pathway. The high-dimensional phenotypic analysis of defined yeast mutant strains provides another step toward attributing gene function to all of the genes in the yeast genome.

A simple and reliable method for the efficient inactivation of metabolism and for quantitative metabolite extraction from yeast cells is presented. It is based on the use of a boiling solution made of 75% ethanol (volume/final volume) buffered with 70 mm‐Hepes (final concentration), pH 7·5, to guarantee the stability throughout the whole procedure of a large variety of metabolites, including all glycolytic intermediates, nucleotides, pyridine nucleotides and organic acids compounds. The extraction is fast, requiring only 3 min incubation of yeast cells in the ethanol‐buffered mixture maintained at 80°C. It can be carried out either directly by spraying the cells into the boiling mixture, or after quenching the whole culture in 60% methanol kept at −40°C. Extracts are subsequently concentrated by evaporation under partial vacuum and the residue is resuspended in a small volume of water. This concentration step and the use of a highly sensitive analytical method allow us to quantify metabolites in less than 10 mg dry weight cells. This method, which can be applied to other fungi, could be very helpful for the determination of true metabolites in mutants generated through the EUROFAN programme and for metabolic flux analysis. © 1997 John Wiley & Sons, Ltd.