Expression data from S. cerevisiae under serial stresses
Ontology highlight
ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae Schizosaccharomyces pombe
PROVIDER: GSE15936 | GEO | 2009/08/07
SECONDARY ACCESSION(S): PRJNA116981
REPOSITORIES: GEO
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Project description:S. cerevisae cells were exposed to different series of mild stresses. Stress type include heat shock, oxidative and osmotic stresses. Microarrays were used to follow the genome-wide transcriptional response to the stresses and to identify genes that can underlie the cross protection phenotype between heat shock and oxidative stress. Experiment Overall Design: Cell sample at different time points after stress application were used for RNA extraction and hybridization on Affymetrix microarrays.
2009-09-06 | E-GEOD-15936 | biostudies-arrayexpress
Project description:To better understand how yeast adapt and respond to sequential stressors, an industrial yeast strain, URM 6670 (also known as BT0510), which is highly flocculent, tolerant to ethanol, osmotic and heat shock stresses, was subjected to three different treatments: 1. osmotic stress followed by ethanol stress, 2. oxidative stress followed by ethanol stress, 3. glucose withdrawal followed by ethanol stress. Samples were collected before the first stress (control), after the first stress and after the second stress (ethanol). RNA was extracted and analyzed by RNAseq.
2023-01-16 | GSE221570 | GEO
Project description:We probed the mechanism of cross-regulation of osmotic and heat stress responses by characterizing the effects of high osmolarity (0.3M vs. 0.0M NaCl) and temperature (43oC vs. 30oC) on the transcriptome of Escherichia coli K12 using E. coli Genome 2 Array (Affymetrix, Inc.). Independent array hybridizations were carried out for 3 biological replicates (independent cultures). Total RNA was extracted using a hot phenol-chloroform method. cDNA synthesis, fragmentation and labeling, and washing and scanning of E. coli GeneChip Arrays were performed according to the instructions of the manufacturer (Affymetrix Technical Manual, Affymetrix, Inc., USA). Labeled cDNA was hybridized to E. coli Genome 2 Array (Affymetrix, Inc.). Independent array hybridizations were carried out for 3 biological replicates (independent cultures) of each condition. A number of genes in the SoxRS and OxyR oxidative stress regulons were up-regulated by high osmolarity, high temperature, and/or by the combination of both stresses. This result could account for cross-protection of osmotic stress against oxidative stress. The trehalose biosynthetic genes were induced by both stresses, in accord with the proposed protective role of this disaccharide against thermal and oxidative damage. Keywords: Affymetrix microarrays
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Project description:Environmental stresses such as drought, heat and salinity limit plant development and agricultural productivity. While individual stresses have been studied extensively, much less is known about the molecular interaction of responses to multiple stresses. To address this problem, we investigated molecular responses of Arabidopsis thaliana to single, double, and triple combinations of salt, osmotic, and heat stresses. A metabolite profiling analysis indicated the production of specific compatible solutes depending on the nature of the stress applied. We found that in combination with other stresses, heat has a dominant effect on global gene expression and metabolites level patterns. Treatments that include heat stress lead to strongly reduced transcription of genes coding for abundant photosynthetic proteins and proteins regulating the cell life cycle, while genes involved in protein degradation are upregulated. Under combined stress conditions, the plants shifted their metabolism to a survival state characterized by low productivity. Our work provides molecular evidence for the dangers for plant productivity and future world food security posed by heat waves resulting from global warming. We highlight candidate genes, many of which are functionally uncharacterized, for engineering plant abiotic stress tolerance.
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Project description:Voit2003 - Trehalose Cycle
This model is described in the article:
Biochemical and genomic
regulation of the trehalose cycle in yeast: review of
observations and canonical model analysis.
Voit EO.
J. Theor. Biol. 2003 Jul; 223(1):
55-78
Abstract:
The physiological hallmark of heat-shock response in yeast
is a rapid, enormous increase in the concentration of
trehalose. Normally found in growing yeast cells and other
organisms only as traces, trehalose becomes a crucial protector
of proteins and membranes against a variety of stresses,
including heat, cold, starvation, desiccation, osmotic or
oxidative stress, and exposure to toxicants. Trehalose is
produced from glucose 6-phosphate and uridine diphosphate
glucose in a two-step process, and recycled to glucose by
trehalases. Even though the trehalose cycle consists of only a
few metabolites and enzymatic steps, its regulatory structure
and operation are surprisingly complex. The article begins with
a review of experimental observations on the regulation of the
trehalose cycle in yeast and proposes a canonical model for its
analysis. The first part of this analysis demonstrates the
benefits of the various regulatory features by means of
controlled comparisons with models of otherwise equivalent
pathways lacking these features. The second part elucidates the
significance of the expression pattern of the trehalose cycle
genes in response to heat shock. Interestingly, the genes
contributing to trehalose formation are up-regulated to very
different degrees, and even the trehalose degrading trehalases
show drastically increased activity during heat-shock response.
Again using the method of controlled comparisons, the model
provides rationale for the observed pattern of gene expression
and reveals benefits of the counterintuitive trehalase
up-regulation.
To
induce a heat shock, set the parameter heat_shock from 0 to 1. This
changes the parameter values of X8 to X19 from 1 to the values
given in table 3 of the original publication.
As
this is an S-systems model, it does not contain any reactions
encoded in SBML.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000266.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000266 | BioModels
Project description:Dinoflagellates have evolved a nuclear organization unlike that of any other eukaryotic group. Recent studies find a predominance of post-transcriptional control of dinoflagellate gene expression. This study investigated regulation of the environmental stress response in the red tide dinoflagellate, Karenia brevis using an Agilent custom oligonucleotide microarray. K. brevis cultures were exposed to 5°C or 10°C heat shock, or three different sources of oxidative stress: 60 µM H2O2, 10 mM NaNO2, or 12 µM PbCl2 over acute time courses. Ribosomal genes, genes involved in RNA processing, translation, and chaperones were among the classes of genes consistently downregulated across treatments, although within these functional classes the same genes did not always respond to different stressors. Genes involved in the photosystem and mitochondrial and chloroplast ATP generation dominated the down-regulated genes. Heat shock and oxidative stress response genes were not induced under any treatment, even under conditions that resulted in decreased viability. We subsequently identified the presence of a trans-spliced leader sequence on many stress response gene transcripts, which suggests that they may be transcribed constitutively and their expression regulated at the level of translation. Cultures of were grown to mid-log phase. For each treatment, five replicate untreated control cultures and five replicate treated cultures were harvested at several time points following treatment. The following time courses were used: 5°C heat shock - 5, 15, 30, 60, and 240 min; 10°C heat shock - 60 min; 60 µM H2O2 - 5, 15, 30, 60, and 240 min; 10 mM NaNO2 -1, 4, and 7 hours; 12 µM PbCl2 -1, 4, and 7 hours. For each treatment, RNA was pooled from the controls and treated cultures at each timepoint. Two color arrays were then run comparing each the transcriptome at timepoint with the pooled control for that treatment. A technical dye swap array was run at each timepoint.
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Project description:Microarray analysis of the global gene expression patterns of Tropheryma whipplei in response to thermal stresses showed unique transcription profiles. A few genes were regulated after 15 min exposure at 43°C, including the dnaK regulon composed of grpE, hspR, dnaK, clpB, cbpA as well as the TWT745 ORFan gene which might encode for another heat-shock protein. This operon is likely to be regulated by two HspR associated inverted repeats (HAIR motifs) found within its 5' region. Putative virulence factors like RibC and IspDF proteins were also up-regulated under such conditions. In contrast to the heat-shock response, T. whipplei transcriptome was strongly modified following cold shock at 4°C. From the 149 genes differentially transcribed, 9 regulons were evidenced, one of them being composed of 5 genes sharing similarities with ABC transporters. Up-regulation of the latter suggests an increase of nutrient uptake during cold stress. As evoked for several bacteria species, the major classes of differentially transcribed genes encode membrane proteins and enzymes involved in fatty acid biosynthesis, indicating that membrane modifications are essential. A most specific feature observed following T. whipplei in response to cold was the up-regulation of heat-shock proteins namely GroEL2 and ClpP1, as well as several genes involved in energy metabolism. All together, these data show that T. whipplei exhibits a specific adaptative response to thermic stresses which fits well to its putative environmental origin. Keywords: thermal stresses responses
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