Gene expression analysis of commercial baker’s yeast Saccharomyces cerevisiae during an air-drying process
Ontology highlight
ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae
PROVIDER: GSE6454 | GEO | 2008/06/25
SECONDARY ACCESSION(S): PRJNA98657
REPOSITORIES: GEO
Similar Datasets
Project description:Gene expression analysis of commercial baker’s yeast Saccharomyces cerevisiae during an air-drying process
| PRJNA98657 | ENA
Project description:In this series of experiments, we wanted to study the transcriptional responses of plants to different levels of water limitation. For mild drought stress, we controlled water potential (a scientific concept for dryness of soil) by using an automated watering system. This system adds water to soil based on the pF values reported by a pF sensor in soil. pF is a classical and widely used index of water potential that was first defined by Schofield (1935). For severe stress conditions, we withheld watering or even dried plants on a lab bench. Here, the transcriptional profiles were compared between well-watered and Sda-treated rice seedling shoots.<br>Sda (Severe dehydration stress by air drying): We designated the Sda as a term that means a dehydration stress in our experiments. The dehydration stress treatment was carried out by pulling plants from the soil and leaving them on a bench.
2016-12-26 | E-MTAB-4137 | biostudies-arrayexpress
Project description:Frozen dough baking is useful method in the modern bread-making industry. However, the fermentation activity of baker’s yeast dramatically decreased after thawing due to freeze injuries, because baker’s yeast cells contained in dough experience freeze injuries during freeze-thaw processes. Here, we performed genome-wide expression analysis to determine genetic response in baker’s yeasts under freeze-thaw condition using a DNA microarray analysis. Functional and clustering analyses in gene expression reveal that genes could be characterized by the term of freeze-thaw stress. Under short-term freeze stress (freeze treatment for 3 day), genes involved in ribosomal protein were up-regulated. Under long-term freeze stress (freeze treatment for longer than 7 day), genes involved in energy synthesis were up-regulated. In each phase, genes involved in protein damage, several stresses and trehalose and glycogen metabolism were also up-regulated. Through these freeze stress, yeast cells may improve reduced efficiency of translation and enhanced cell protection mechanism to survive under freeze stress condition. These regulations of these genes would be controlled by the cAMP-protein kinase A pathway. Keywords: baker’s yeast, freeze-thaw stress, gene expression, freezing period
2009-07-31 | GSE8673 | GEO
Project description:Gene expression profiles of baker’s yeast during initial dough-fermentation were investigated using liquid fermentation media to obtain insights at the molecular level into rapid adaptation mechanisms of baker’s yeast. Results showed that onset of fermentation caused drastic changes in gene expression profiles within 15 min. Genes involved in the tricarboxylic acid (TCA) cycle were down-regulated and genes involved in glycolysis were up-regulated, indicating a metabolic shift from respiration to fermentation. Genes involved in ethanol production (PDC genes and ADH1), in glycerol synthesis (GPD1 and HOR2), and in low-affinity hexose transporters (HXT1 and HXT3) were up-regulated at the beginning of model dough-fermentation. Among genes up-regulated at 15 min, several genes classified as transcription were down-regulated within 30 min. These down-regulated genes are involved in messenger RNA splicing and ribosomal protein biogenesis, in zinc finger transcription factor proteins, and in transcriptional regulator (SRB8, MIG1). In contrast, genes involved in amino acid metabolism and in vitamin metabolism, such as arginine biosynthesis, riboflavin biosynthesis, and thiamin biosynthesis, were subsequently up-regulated after 30 min. Interestingly, the genes involved in the unfolded protein response (UPR) pathway were also subsequently up-regulated. Our study presents the first overall description of the transcriptional response of baker’s yeast during dough-fermentation, and will thus help clarify genomic responses to various stresses during commercial fermentation processes. Keywords: fermentation
2006-02-24 | GSE3043 | GEO
Project description:Environmental conditions are quite effective during propagation and industrial application of Baker’s yeast (Saccharomyces cerevisiae). The change of temperature is one of the most important conditions which affects the dough-leaving capacity of yeast cells. Accordingly, heat changes play an essential role in the commercial and economic impact of the yeast. Recent technologies in genomics have been used for analysis of global gene expression profiles such as microarray and RNA sequencing to solve the problems related with industrial application of yeast. Hereby, the aim of this study is to explore the effects of heat stresses on global gene expression profiles and to identify the candidate genes for the heat stress response in commercial baker’s yeast by using microarray technology and comparative statistical data analyses. Data from all hybridizations and array normalization were analyzed using the GeneSpringGX 12.1 (Agilent) and the R 2.15.2 program language. In the analysis of this dataset, all required statistical methods are performed comparatively in each step and the best performed ones are used in further computations. Hence, as the first step of the analyses, different background normalization algorithms such as MAS5.0, RMA, MBEI and GC-RMA were applied and the algorithm which gives the most accurate findings was chosen for the normalization procedure. As a result, expression values, computed from CEL files, were processed by Robust Multiarray Analysis (RMA) which is the selected procedure for the normalization of the systematic differences between samples. In order to determine differentially expressed genes under heat stress treatments, two different methods, namely, the fold-change and the hypothesis testing approaches are executed. In the fold-change method, various cut-off values are implemented while different multiple testing procedures are performed for the hypothesis testing. Under the heat shock and temperature-shift stress conditions, up/down regulated differentially expressed probes were functionally categorized into the different groups via the cluster analyses. Transcriptome changes under the heat shock and temperature-shift stress treatments show that the number of differentially up-regulated genes among the heat shock proteins (HSPs) and transcription factors (TFs) changed significantly. Consequently, the identification of thousands of genes related with heat stress treatments via microarray technology and comparative statistical analysis resulted in the creation of big picture which provides the understanding of the importance for the baker’s yeast industrial applications.
2017-01-30 | E-MTAB-3459 | biostudies-arrayexpress
Project description:Purpose: The goal of this study was to determine the microRNA (miRNA) content of extracellular vesicles (EVs) derived from murine mesenchymal stem cells (mMSC), and evaluate reproducibility among distinct EV productions. We also aimed at assessing the effect of freeze-drying on EV miRNA content, by performing sequencing on freeze-dried EVs and calculating statistical difference between unmodified and freeze-dried EVs. Methods: mMSC-derived EVs were obtained from mMSC in culture in reduced serum medium Opti-MEM by differential centrifugation, with a final step at 100,000 g for 110 min at 4°C. EV pellets (freeze-dried (n=3) or not (n=2)) were resuspended in Qiazol lysis buffer and RNA was extracted following RNeasy Micro kit. cDNA libraries for sequencing were prepared using the TruSeq Small RNA Sample Preparation Kit. Amplified cDNA constructs were purified on 6 % PAGE gel and DNA molecules corresponding to 15–50 nucleotide transcripts were excised, eluted from gel, and concentrated. Image analyses and base calling were performed using the HiSeq Control Software and Real-Time Analysis component (Illumina). Before statistical analysis, genes with less than 15 reads (cumulating all the analysed samples) were filtered out. Differentially expressed miRNA were identified using three Bioconductor packages: edgeR, DESeq and DESeq2. Results: Considering miRNAs detected with at least 5 counts (in terms of normalised counts), 339 miRNAs were identified and miRNA content was highly conserved among the two batches tested, with 237 miRNAs out of the 339 present in both batches (70%). Statistical analysis did not evidence statistical difference between unmodified EVs (n=2) and freeze-dried EVs (n=3) (DESeq2, p<0.05). No statistical difference was found using other Bioconductor packages DESeq and edgeR. These results indicated conservation of miRNA content following freeze-drying. Conclusion: mMSC-EV miRNA content was comparable between the two EV productions analysed, indicating reproducibility. Some of the miRNAs identified were consistent with previously published results on MSC-derived EVs. Freeze-drying conserved miRNA content.
2019-12-09 | GSE140479 | GEO
Project description:This series represents the analysis of a commercial dry active yeast (purchased locally). The genetics of this sample is unknown. Keywords = commercial Keywords = dry active yeast Keywords: other
2005-08-01 | GSE1314 | GEO
Project description:Molecular mechanisms of freeze injuries in commercial baker’s yeast
| PRJNA101885 | ENA
Project description:Transcriptional profiling of barley shoot and root with drying
2014-04-01 | GSE41514 | GEO
Project description:We report here that a straightforward change of the standard derivatization procedure for GC–MS metabolomics is leading to a strong increase in metabolite signal intensity. Drying samples between methoxymation and trimethylsilylation significantly increased signals by two- to tenfold in extracts of yeast cells, plant and animal tissue, and human urine. This easy step reduces the cost of sample material and the need for expensive new hardware.
2019-04-05 | MTBLS807 | MetaboLights