Saccharomyces cerevisiae
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA291871 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR2144050.fastq.gz | Fastqsanger.gz | |||
| SRR2144060.fastq.gz | Fastqsanger.gz | |||
| SRR2144041.fastq.gz | Fastqsanger.gz | |||
| SRR2144051.fastq.gz | Fastqsanger.gz | |||
| SRR2144061.fastq.gz | Fastqsanger.gz |
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Project description:We performed RNAseq with Saccharomyces cerevisiae cells under both transient and steady-state conditions to study the regulation of genes by two pulsatile transcription factors, Msn2 and Mig1. The transient data allowed us to identify combinatorial targets while the steady-state data was used to study target expression dependence on the relative pulse timing between the two TFs.
2015-10-15 | GSE71712 | GEO
Project description:Combinatorial cis-regulation in Saccharomyces species
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Project description:Background Microorganisms adapt their transcriptome by integrating multiple chemical and physical signals from their environment. Shake-flask cultivation does not allow precise manipulation of individual culture parameters and therefore precludes a quantitative analysis of the (combinatorial) influence of these parameters on transcriptional regulation. Steady-state chemostat cultures, which do enable accurate control, measurement and manipulation of individual cultivation parameters (e.g. specific growth rate, temperature, identity of the growth-limiting nutrient) appear to provide a promising experimental platform for such a combinatorial analysis. Results A microarray compendium of 170 steady-state chemostat cultures of the yeast Saccharomyces cerevisiae is presented and analyzed. The 170 microarrays encompass 55 unique conditions, which can be characterized by the combined settings of 10 different cultivation parameters. By applying a regression model to assess the impact of (combinations of) cultivation parameters on the transcriptome, most S. cerevisiae genes were shown to be influenced by multiple cultivation parameters, and in many cases by combinatorial effects of cultivation parameters. The inclusion of these combinatorial effects in the regression model led to higher explained variance of the gene expression patterns and resulted in higher function enrichment in subsequent analysis. We further demonstrate the usefulness of the compendium and regression analysis for interpretation of shake-flask-based transcriptome studies and for guiding functional analysis of (uncharacterized) genes and pathways. Conclusions Modeling the combinatorial effects of environmental parameters on the transcriptome is crucial for understanding transcriptional regulation. Chemostat cultivation offers a powerful tool for such an approach. Keywords: chemostat steady state samples
2009-02-05 | GSE11452 | GEO
Project description:Glucose Pulse to sfp1delta continuous cultures
| PRJNA103505 | ENA
Project description:Combinatorial promoter expression level estimation via cell sorting The purpose of this experiment was to determine the expression level of a library of synthetic promoters. The promoters were cloned in front of a GFP reporter and the resulting library transformed into yeast, sorted by FACS into six fluorescence bins, and the contents of the bins sequenced to determine the distribution of each promoter among each fluorescence bin. This was then used to calculate an expression level for each promoter with enough data.
2013-09-01 | GSE48860 | GEO
Project description:Elucidating Combinatorial Chromatin States at Single-Nucleosome Resolution
| PRJNA328453 | ENA
Project description:HMF and furfural were pulse added to xylose-utilizing Saccharomyces cerevisiae during either the glucose consumption phase or the xylose consumption phase. Transcriptome samples were collected before and one hour after pulsing of inhibitors.
2013-11-25 | GSE50182 | GEO
Project description:Nutrient-dependent regulation of gene expression in Saccharomyces cerevisiae
| PRJNA127205 | ENA
Project description:The Saccharomyces cerevisiae SFP1 is required for proper regulation of ribosome biogenesis and cell size in response to nutrients. A mutant deleted for SFP1 shows specific traits among which a slow growth phenotype, which is particularly evident during growth on glucose. To assess the effects of nutrients on the activity of Sfp1 independent by growth rate related feedback we grew an sfp1Πmutant and its isogenic reference strain in chemostat cultures, at the same specific growth rate, under glucose/ethanol-limitation. Our data show that Sfp1 is involved in the modulation of cell size and RiBi gene expression and that these two functions are differently influenced by nutrients. The continuous cultures were then pulsed with a glucose excess generating a situation of batch growth similar to shake flask cultures. The dynamic analysis of the metabolic and transcriptional response following the glucose addition suggested that Sfp1 plays a role at the crossroads of ribosome biogenesis and central carbon metabolism regulation. Finally, we show that the down-regulation of RP genes, which was observed in an sfp1Πstrain during shake flask growth, cannot be directly ascribed to the absence of Sfp1 but is most probably a secondary effect due to the low growth potential of the mutant strain. Experiment Overall Design: After ten volume changes, few seconds after the samples for the steady state analysis were collected, the anaerobic glucose pulse experiments were started by sparging the medium reservoir and the fermenter with pure nitrogen gas (airflow of 0.5 L min-1, Hoek-Loos, Schiedam, <5 ppm O2). NorpreneTM tubing and butyl septa were used to minimize oxygen diffusion into the anaerobic culture. Two minutes after nitrogen sparging and just before the addition of glucose, the medium and the effluent pumps were switched off. At this time point (which we will refer to as time T=0) the 200 mM glucose pulse was injected aseptically through a rubber septum. Experiment Overall Design: Sampling from chemostats, total RNA extraction, probe preparation and hybridization to Affymetrix Genechip® microarrays were performed as previously described (1). Samples were collected at steady state and then at 5, 10, 30, 60 and 120 minutes after the pulse. The results relative to steady state samples were derived from three independent cultures, those relative to the time course analysis were derived from two independent cultures. Experiment Overall Design: 1) Cipollina C., van den Brink J., Daran-Lapujade P., Pronk J.T., Vai M. and de Winde J.H. (2007) Revisiting the role of yeast Sfp1 in ribosome biogenesis and cell size control: A chemostat study. Microbiology. In press.
2008-06-18 | E-GEOD-9644 | biostudies-arrayexpress
Project description:MRC1-Dependent Scaling of the Budding Yeast DNA Replication Timing Program
| PRJNA119717 | ENA