Dynamics of two oscillation phenotypes in S. cerevisiae reveal a network of genome-wide transcriptional and cell cycle oscillators.
Ontology highlight
ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae
SUBMITTER: shwe chin
PROVIDER: E-GEOD-30053 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
Dynamics of oscillatory phenotypes in Saccharomyces cerevisiae reveal a network of genome-wide transcriptional oscillators.
Chin Shwe L SL Marcus Ian M IM Klevecz Robert R RR Li Caroline M CM
The FEBS journal 20120227 6
Genetic and environmental factors are well-studied influences on phenotype; however, time is a variable that is rarely considered when studying changes in cellular phenotype. Time-resolved microarray data revealed genome-wide transcriptional oscillation in a yeast continuous culture system with ∼ 2 and ∼ 4 h periods. We mapped the global patterns of transcriptional oscillations into a 3D map to represent different cellular phenotypes of redox cycles. This map shows the dynamic nature of gene exp ...[more]
Similar Datasets
Project description:Genetic and environmental factors influence the phenotype of an organism. Time is rarely considered when studying changes in cellular phenotype. Time-resolved microarray data revealed genome-wide transcriptional changes in cells oscillating with ~2 and ~4 h periods. We mapped the global patterns of transcriptional oscillations into a 3-dimensional map to represent different cellular phenotypes of oscillation period. This map shows the dynamic nature of transcripts through time and concentration space, and that they are ordered and coupled to each other. Although cells differed in oscillation periods, transcripts involved in certain processes were conserved in a deterministic way. This ordered timing of biological process may allow cells to grow energetically efficient. Decreased glucose levels in the media were found to increase the redox cycles of yeast strain CEN.PK113-7D. Glucose may have acted as signaling molecules for timing longer catabolic processes in the cell population. As oscillation period lengthened, the peak to trough ratio of transcripts increased and the percent of cells in the unbudded (G0/G1) phase of the cell cycle increased. Gene transcripts appear to be coordinated with metabolic functions and the cell cycle. High-resolution samples over time were collected for CEN.PK113-7D oscillating with 4 hour period.
2012-04-16 | E-GEOD-30052 | biostudies-arrayexpress
Project description:Genetic and environmental factors influence the phenotype of an organism. Time is rarely considered when studying changes in cellular phenotype. Time-resolved microarray data revealed genome-wide transcriptional changes in cells oscillating with ~2 and ~4 h periods. We mapped the global patterns of transcriptional oscillations into a 3-dimensional map to represent different cellular phenotypes of oscillation period. This map shows the dynamic nature of transcripts through time and concentration space, and that they are ordered and coupled to each other. Although cells differed in oscillation periods, transcripts involved in certain processes were conserved in a deterministic way. This ordered timing of biological process may allow cells to grow energetically efficient. Decreased glucose levels in the media were found to increase the redox cycles of yeast strain CEN.PK113-7D. Glucose may have acted as signaling molecules for timing longer catabolic processes in the cell population. As oscillation period lengthened, the peak to trough ratio of transcripts increased and the percent of cells in the unbudded (G0/G1) phase of the cell cycle increased. Gene transcripts appear to be coordinated with metabolic functions and the cell cycle. High-resolution samples over time were collected for CEN.PK113-7D oscillating with 2 hour period.
2012-04-16 | E-GEOD-30051 | biostudies-arrayexpress
Project description:Raw expression values (CHP data) for transcriptional profiling of the response of Saccharomyces cerevisiae to challenges with various weak organic acids Experiment Overall Design: The laboratory reference strain CEN.PK 113-7D (MATa) was grown at 30 °C in 2-L chemostat fermentors (Applikon, Schiedam, The Netherlands) with a working volume of 1-L using an electronic level sensor to maintain a constant volume. All cultures, including the reference, were fed with minimal medium as described by Verduyn et al. (1992) with 25 g L-1 glucose as the limiting nutrient and 0.15 ml L-1 silicone antifoam (BDH, Poole, England) to prevent excessive foaming. The dilution rate was set to 0.10 h-1 and the pH was controlled at 5.0 with the automatic addition (ADI 1031 bio controller, Applikon) of 2 M KOH. The stirrer speed was set at 800 RPM and anaerobicity was maintained by sparging the fermentor with N2 gas at 500 ml min-1. To prevent diffusion of oxygen, the fermentor was equipped with Norprene tubing and Viton O-rings and the medium vessel was also flushed with N2 gas. A comparable degree of weak acid uncoupling was ensured by decreasing the biomass yield to approximately 50% of the reference condition (no organic acids added) with the addition of the appropriate concentration of acetic acid, sodium benzoate, propionic acid or potassium sorbate to the reservoir media. Triplicate cultivations and microarrays were performed for each condition. Experiment Overall Design: Sampling of chemostat cultures, probe preparation and hybridization to Affymetrix GeneChip microarrays was performed as described previously (Piper et al., 2002), but with the following modifications. Double-stranded cDNA synthesis was carried out using 15 μg of total RNA and the components of the One Cycle cDNA Synthesis Kit (Affymetrix). The double-stranded cDNA was purified (Genechip Sample Cleanup Module, Qiagen) before in vitro transcription and labeling (GeneChip IVT Labeling Kit, Affymetrix). Finally, labeled cRNA was purified (GeneChip Sample Cleanup Module) prior to fragmentation and hybridization of 15 μg of biotinylated cRNA. Experiment Overall Design: Data acquisition was performed using the Affymetrix scanner 3000, quantification of array images and data filtering were performed with the Affymetrix software packages Microarray Suite v5.0, MicroDB v3.0 and Data Mining Tool v3.0. **note 2014-04-02: file GSM137686.CEL is truncated.
2009-04-23 | E-GEOD-5926 | biostudies-arrayexpress
Project description:Raw expression values (CHP data) for transcriptional profiling of the response of Saccharomyces cerevisiae to challenges with lactic acid at pH 3 and pH 5. Experiment Overall Design: The laboratory reference strain CEN.PK 113-7D (MATa) was grown at 30 °C in 1.5-L chemostat fermentors (Applikon, Schiedam, The Netherlands) with a working volume of 1-L using an electronic level sensor to maintain a constant volume. All cultures, including the reference, were fed with minimal medium as described by Verduyn et al. (1992) with 25 g L-1 glucose as the limiting nutrient and 0.15 ml L-1 silicone antifoam (BDH, Poole, England) to prevent excessive foaming. The dilution rate was set to 0.10 h-1 and the pH was controlled at 5.0 with the automatic addition (ADI 1031 bio controller, Applikon) of 2 M KOH. The stirrer speed was set at 800 RPM and anaerobicity was maintained by sparging the fermentor with N2 gas at 500 ml min-1. To prevent diffusion of oxygen, the fermentor was equipped with Norprene tubing and Viton O-rings and the medium vessel was also flushed with N2 gas. A comparable degree of weak acid uncoupling was ensured by decreasing the biomass yield to approximately 50% of the reference condition (no organic acids added) with the addition of the appropriate concentration of lactic acid to the reservoir media. Experiment Overall Design: Sampling of chemostat cultures, probe preparation and hybridization to Affymetrix GeneChip microarrays was performed as described previously (Piper et al., 2002), but with the following modifications. Double-stranded cDNA synthesis was carried out using 15 μg of total RNA and the components of the One Cycle cDNA Synthesis Kit (Affymetrix). The double-stranded cDNA was purified (Genechip Sample Cleanup Module, Qiagen) before in vitro transcription and labeling (GeneChip IVT Labeling Kit, Affymetrix). Finally, labeled cRNA was purified (GeneChip Sample Cleanup Module) prior to fragmentation and hybridization of 15 μg of biotinylated cRNA. Experiment Overall Design: Data acquisition was performed using the Affymetrix scanner 3000, quantification of array images and data filtering were performed with the Affymetrix software packages Microarray Suite v5.0, MicroDB v3.0 and Data Mining Tool v3.0.
2008-10-20 | E-GEOD-10066 | biostudies-arrayexpress
Project description:Microarray analysis of Aspergillus niger under conditions with differing combinations of carbon source, nitrogen source, nitrogen concentration, and culture pH Fermentor cultures were grown in minimal medium (MM) at a constant temperature of 30 ± 0.5 ºC and with differing combinations of carbon source (either 277.5 mM glucose or 333.0 mM xylose), nitrogen source (NH4Cl or NaNO3) and nitrogen concentration (4x: 282.4 mM; 8x: 564.8 mM), and pH (pH4 or pH5) of the medium (M. Braaksma, A.K. Smilde, M.J. van der Werf, P.J. Punt, submitted for publication). At different time points samples were collected, quenched immediately in methanol at -45 ºC and centrifuged at -20 ºC to remove supernatant. Part of the biomass was frozen into liquid nitrogen and stored at -80 ºC for microarray analysis. For each of the 16 culture conditions one sample was selected for microarray analysis; samples were collected either around the time point carbon source depleted or a considerable time (~24 h) after carbon souce depletion. In addition some technical duplicates were included. 20 samples were analyzed from 16 different fermentation conditions. The fermentation conditions were varied according to a full factorial design of four factors tested at two levels. From one fermentation two different time samples were analyzed, from another fermentation four samples, two technical replicates of two different time samples, were analyzed. Samples were collected either around the time point carbon source depleted or a considerable time (~24 h) after carbon souce depletion.
2010-04-08 | E-GEOD-17329 | biostudies-arrayexpress
Project description:The industrially important fungus Aspergillus niger feeds naturally on decomposing plant material, for which it is equipped with a range of enzyme systems. A significant proportion of plant material are lipids that might be available either as for energy storage or as membrane building blocks. With 63 potential lipase-encoding genes in its genome, A. niger has the tools to degrade these extracellular lipids. In contrast to polysaccharide-degrading enzyme networks not much is known about the signalling and regulatory processes that control lipase expression and activity in fungi both under laboratory and natural occurring conditions. A pulse of 1 mM of various oils was applied to four bioreactor-grown A. niger cultures to examine (i) whether A. niger responds at the level of gene transcription, (ii) at what time point this effect is detected most accurately, and (iii) whether differences between the response towards oils are observed. The triglyceride olive oil induces genes encoding peroxins and enzymes of fatty acid metabolism. A complex oil mixture extracted from wheat gluten, which is enriched for digalactosyl-diglycerides, induces genes encoding peroxins as well as enzymes of fatty acid metabolism, but with different expression profile when compared to olive oil. Pure digalactosyldiglyceride, a proxy for plant membrane lipids, does not trigger a transcriptional response. Keywords: time course; induction experiment In one week, 4 fermentor cultures were run in 2.2-liter batch fermentors in which A. niger was grown on 100 mM sorbitol. At 14 hours after oxygen supply had switched from headspace to sparger-inlet each fermentor was induced with 22 mL medium which contained 100 mM (final concentration in fermentor: 1 mM) of either olive oil, a complex oil mixture extracted from wheat gluten, pure wheat digalactosyldiglycerides, or was induced with a solution of minimal medium containing only 0.2% (in fermentor, final concentration 0.002%) triton X-100 which served as emulsifier agent. For each fermentor vessel, a sample of 10 mL was taken prior to induction (T=0), or 30 minutes, 1 hour, or 2 hours after induction. Every sample was hybridized onto a single microarray, yielding in total 16 DNA microarrays.
2010-05-06 | E-GEOD-14285 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2015-04-07 | E-GEOD-54852 | biostudies-arrayexpress
Project description:Knowledge of the biological and technical variation for fermentor-grown Aspergillus niger cultures is needed to design DNA microarray experiments properly. We cultured A. niger in batch-operated fermentor vessels and induced with D-xylose. Transcript profiles were followed in detail by qPCR for 8 genes. A variance components analysis was performed on these data to determine the origin and magnitude of variation within each process step for this experiment. 6 Fermentor cultures were selected to determine technical and biological variation for all 14554 ORFs present on this array type. Keywords: Validation of microarrays; variation analysis; experimental design For 5 weeks, 4 batch-fermentation per week were run in which A. niger was grown on 100 mM sorbitol. At 14 hours after oxygen supply had switched from headspace to sparger-inlet each fermentor was induced with either 0.1 mM D-xylose or 0.1 mM sorbitol. Samples were harvested just before induction and 1 hour after induction. Per week, 3 fermentors were induced with D-xylose and 1 fermentor was induced with sorbitol. Six samples were selected to be put on microarrays based on their biomass density, time distribution, magnitude of xylose-induced genes as measured by qPCR, fermentor vessel number.
2008-12-30 | E-GEOD-11405 | biostudies-arrayexpress
Project description:Perturbation of the gated-synchrony system in yeast with phenelzine, an antidepressant drug used in the treatment of affective disorders in humans, leads to a rapid lengthening in the period of the genome-wide transcriptional oscillation. The effect is a concerted, genome-scale change in expression that is first seen in genes maximally expressed in the late-reductive phase of the cycle, doubling the length of the reductive phase within two cycles after treatment. Clustering of genes based on their temporal patterns of expression yielded just three super clusters whose trajectories through time could then be mapped into a simple 3D figure. In contrast to transcripts in the late-reductive phase, most transcripts do not show transients in expression relative to others in their temporal cluster but change their period in a concerted fashion. Mapping the trajectories of the transcripts into low-dimensional surfaces that can be represented by simple systems of differential equations provides a readily testable model of the dynamic architecture of phenotype. In this system, period doubling may be a preferred pathway for phenotypic change. As a practical matter, low-amplitude, genome-wide oscillations, a ubiquitous but often unrecognized attribute of phenotype, could be a source of seemingly intractable biological noise in microarray studies. Experiment Overall Design: Phenelzine was added to the system after the first cycle to induce period doubling
2008-06-16 | E-GEOD-9302 | biostudies-arrayexpress
Project description:Genetic and environmental stresses are known factors that influence an organisms phenotype. Time is rarely taken into consideration when studying phenotypic changes in cells. Time-resolved microarray data revealed genome-wide transcriptional changes in yeast strain CEN.PK122 oscillating with~2 periods. We mapped the global patterns of transcriptional oscillationsinto a 3-dimensional map to represent different cellular phenotypes ofoscillation period. This map shows the dynamic nature of transcripts through time and concentration space, and that they are ordered and coupled to each other. High-resolution samples over time were collected for CEN.PK122 oscillating with 2 h period.
2012-04-16 | E-GEOD-30054 | biostudies-arrayexpress