Project description:This SuperSeries is composed of the following subset Series: GSE31220: Polysome-associated mRNA levels upon glucose repletion GSE31392: Timecourse of total and polysome-associated mRNA levels post glucose deprivation Refer to individual Series
Project description:The aim of this study was to determine how nitrogen repletion affected the genomic cell response of a Saccharomyces cerevisiae wine yeast strain, in particular within the first hour following relief from nutrient starvation. We found almost 4000 genes induced or repressed sometimes within minutes of nutrient changes. Some of the transcriptional responses to nitrogen depended on the TOR pathway which control positively ribosomal protein genes, amino acid and purine biosynthesis or amino acid permease genes and negatively stress-response genes, RTG specific TCA cycle genes and NCR sensitive genes. Some unexpected transcriptional responses concerned all the glycolytic genes, the starch and glucose metabolism and citrate cycle related genes which were down-regulated, as well as genes from the lipid metabolism.
Project description:Saccharomyces cerevisiae cannot metabolize cellobiose in nature. Here, S. cerevisiae was engineered to achieve cellobiose utilization by introducing both a cellodextrin transporter gene (cdt-1) and an intracellular β-glucosidase gene (gh1-1) from Neurospora crassa. We sequenced mRNA from anaerobic exponential cultures of engineered S. cerevisiae grown on cellobiose or glucose as a single carbon source in biological triplicate. Differences in gene expression between cellobiose and glucose metabolism revealed by RNA deep sequencing indicated that cellobiose metabolism induced mitochondrial activation and reduced amino acid biosynthesis under fermentation conditions. mRNA levels in cellobiose-grown and glucose-grown cells of engineered cellobiose-utilizing Saccharomyces cerevisiae were examined by deep sequencing, in triplicate, using Illumina Genome Analyzer-II. We sequenced 3 samples from cellobiose-grown cells and 3 samples from glucose-grown cells and identified differential expressions in the cellobiose versus glucose fermentations by using mRNA levels of glucose-grown cells as a reference.
