Untargeted metabolomic profile of oak and wine yeast strains
Ontology highlight
ABSTRACT: Metabolomic profiles were compiled from oak and wine yeast parents over three extraction times (batch). Included in this study are extraction controls.
Project description:Metabolomic profiles were compiled from oak and wine yeast parents, and their F2 hybrids. Included in this study are extraction controls.
Project description:Metabolomic profiles were compiled from reciprocal hemizygotes (oak/win hybrid, genes AUA1, ARG82) (batch). Included in this study are extraction controls.
Project description:To understand transcriptomic changes in baker’s yeast S. cerevisiae cells under stress conditions, we sequenced 117 yeast cells under three stress treatments (hypotonic condition, glucose starvation and amino acid starvation) using a full-length based single-cell RNA-Seq method. We found that though single cells from the same treatment showed varying degrees of uniformity, technical noise and batch effects can confound results significantly. However, upon careful selection of samples to reduce technical artifacts and account for batch-effects, we were able to capture distinct transcriptomic signatures for different stress conditions. Our results show that a full single cell based transcriptomic analysis of the yeast may help paint a clearer picture of how the model organism responds to stress than do bulk cell population-based methods.
Project description:To understand transcriptomic changes in baker’s yeast S. cerevisiae cells under stress conditions, we sequenced 117 yeast cells under three stress treatments (hypotonic condition, glucose starvation and amino acid starvation) using a full-length based single-cell RNA-Seq method. We found that though single cells from the same treatment showed varying degrees of uniformity, technical noise and batch effects can confound results significantly. However, upon careful selection of samples to reduce technical artifacts and account for batch-effects, we were able to capture distinct transcriptomic signatures for different stress conditions. Our results show that a full single cell based transcriptomic analysis of the yeast may help paint a clearer picture of how the model organism responds to stress than do bulk cell population-based methods.
Project description:We used microarray to investigate the influence of zymolyase treatment which is used for degradation of yeast cell wall. Two types of RNA extraction methods were used, and zymolyase preprocessing was applied to one among them. The qualities of total RNA extracted by two extraction methods were checked, and then RNAs were used for generating cloned DNA and RNA. Finally, two types of cRNA were hybridized to Affymetrix yeast genome 2.0_array. Keywords: comparison of RNA extraction process
Project description:RNA co-immunoprecipitations with C-terminal protein A-tagged She proteins. One liter of cells were cultured at 30 degrees in YPAD medium and collected during exponential growth by centrifugation. Cells were washed twice and broken mechanically with glass beads. Extracts were incubated with IgG-agarose beads (Sigma). The beads were washed four times, and She proteins were released from the beads by cleavage with TEV-protease (Invitrogen). RNA was isolated by phenol/chloroform extraction and isopropanol precipitation from TEV eluates, which corresponds to the purified fraction, and from extracts (input). Both RNA samples, input and purified, were reverse transcribed and labeled with the fluorescent dyes Cy3 and Cy5 (Amersham), respectively. The samples were mixed and competitively hybridized to yeast DNA microarrays containing all yeast genes Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
Project description:This experiment is the analysis of the transcriptomes of several hybrid yeast strains obtained by crossing natural (from wine) isolates of S. cerevisiae and S. uvarum. All isolations have been done from hybrid strains growing in exponential phase in YPD. Keywords: Strain comparison
Project description:Individualized outcome prediction classifiers were successfully constructed through expression profiling of 1918 genes connected with lipid metabolism in yeast strain overexpressed of fatty acid biosynthesis gene In the study presented here, expression profiles of wild type and ACC-overexpressed wild type yeast strain were well-clustered by profiles- and gene similarities. It was analyzed the gene expression profile of ACC-overexpressing as compared with those of wild type. The expression levels between wild type(WT) and ACC-overexpressed wild type(ACC) were compared individually three times.