GEO DataSets

(Submitter supplied) We transcriptional profiled four transcription factor knockout strains in S288C background growing in YNB media + 2% glucose to understand the link between mRNA levels and our measured C13 fluxes of amino acid biosynthesis. We conducted this analysis as a follow up to our work on the Gcn4p transcription factor. Keywords: genetic modification

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL5043

4 Samples

Download data: GPR

(Submitter supplied) The transcriptional data from an integrative analysis of transcriptional and metabolic stress responses that provides a more complete understanding of the mechanisms by which genetic regulatory circuits mediate metabolic phenotype. Keywords: stress response, genetic modification

Organism:

Saccharomyces cerevisiae; Schizosaccharomyces pombe

Type:

Expression profiling by array

Platform:

GPL2529

6 Samples

Download data: CEL

(Submitter supplied) We measured steady-state mRNA levels by microarray hybridization, comparing WT, (delta)ire1, (delta)gcn4, and (delta)gcn2 cells treated with 2 mM DTT for 30 min (by which time the UPR is qualitatively complete) to untreated samples of the same genotype. WT cells were taken as a positive control for UPR induction, and (delta)ire1 cells as a negative control. Fold change in expression of a given gene was computed as the ratio of mRNA level in the treated sample to the level in an untreated sample of the same genotype. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL1001

12 Samples

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(Submitter supplied) array data accompanying Patil et al. (2004)

Organism:

Saccharomyces cerevisiae

1 Series

12 Samples

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(Submitter supplied) Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations. Genome sequencing efforts have identified numerous germline mutations associated with cancer predisposition and large numbers of somatic genomic alterations. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL15648

449 Samples

Download data: CEL

(Submitter supplied) The parent S. cerevisiae strain, BY4741, and specific gene deletions of the parent S.cerevisiae strain BY4741 were treated with 100uM NaAsO2 (AsIII) for 2h and compared to the untreated counterpart (yap1Δ vs. yap1Δ 2h 100uM AsIII, cad1Δ vs. cad1Δ 2h 100uMAsIII, rpn4Δ vs. rpn4Δ 2h 100uM AsIII, arr1Δ vs. arr1Δ 2h 100uM AsIII, parent vs. parent with 2h 100uM AsIII). The untreated specific deletion strain was also compared to the untreated parent strain in order to identify differential expression of genes due to the knockout alone. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platforms:

GPL884 GPL1474

40 Samples

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(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Schizosaccharomyces pombe; Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL2529

23 Samples

Download data: CEL

(Submitter supplied) The impact on mRNA expression of the transcription factors Bas1, Pho2, Gcn4 and Gcr2p was investigated in the corresponding deletion strains during exponential growth in glucose minimal media batch cultures.

Organism:

Schizosaccharomyces pombe; Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL2529

6 Samples

Download data: CEL

(Submitter supplied) The impact on mRNA expression of the transcription factors Bas1, Pho2, Gcn4 and Gcr2p was investigated in the corresponding deletion strains during exponential growth in glucose minimal media batch cultures.

Organism:

Schizosaccharomyces pombe; Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL2529

5 Samples

Download data: CEL

(Submitter supplied) The impact on mRNA expression of the transcription factors Bas1, Pho2, Gcn4 and Gcr2p was investigated in the corresponding deletion strains during exponential growth in glucose minimal media batch cultures.

Organism:

Schizosaccharomyces pombe; Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL2529

6 Samples

Download data: CEL

(Submitter supplied) Expression data from wild-type FY4 and GCR2 deletion strain. Impact of the transcription factor Gcr2p on mRNA expression was investigated in the corresponding deletion strain in exponentially growing glucose minimal medium batch cultures.

Organism:

Saccharomyces cerevisiae; Schizosaccharomyces pombe

Type:

Expression profiling by array

Platform:

GPL2529

6 Samples

Download data: CEL

(Submitter supplied) Significant insight about biological networks arises from the study of network motifs –overly abundant network subgraphs, but such wiring patterns do not specify when and how potential routes within a cellular network are used. To address this limitation, we introduce activity motifs, which capture patterns in the dynamic use of a network. Using this framework to analyze transcription in Saccharomyces cerevisiae metabolism, we find that cells use different timing activity motifs to optimize transcription timing in response to changing conditions: forward activation to produce metabolic compounds efficiently, backward shutoff to rapidly stop production of a detrimental product and synchronized activation for co-production of metabolites required for the same reaction Measuring protein abundance over a time course reveals that mRNA timing motifs also occur at the protein level. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL1864

73 Samples

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(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL4462

30 Samples

Download data: GPR, IMAGENE

(Submitter supplied) Arsenic is ubiquitously present in nature and various mechanisms have evolved enabling cells to evade toxicity and acquire tolerance. Herein, we explored how Saccharomyces cerevisiae (budding yeast) respond to trivalent arsenic (arsenite) by quantitative and kinetic transcriptome, proteome and sulfur metabolite profiling. Arsenite exposure affected transcription of genes encoding functions related to protein biosynthesis, arsenic detoxification, oxidative stress defense, redox maintenance and proteolytic activity. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL4462

6 Samples

Download data: IMAGENE

(Submitter supplied) volved enabling cells to evade toxicity and acquire tolerance. Herein, we explored how Saccharomyces cerevisiae (budding yeast) respond to trivalent arsenic (arsenite) by quantitative and kinetic transcriptome, proteome and sulfur metabolite profiling. Arsenite exposure affected transcription of genes encoding functions related to protein biosynthesis, arsenic detoxification, oxidative stress defense, redox maintenance and proteolytic activity. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL4462

3 Samples

Download data: GPR

(Submitter supplied) Arsenic is ubiquitously present in nature and various mechanisms have evolved enabling cells to evade toxicity and acquire tolerance. Herein, we explored how Saccharomyces cerevisiae (budding yeast) respond to trivalent arsenic (arsenite) by quantitative and kinetic transcriptome, proteome and sulfur metabolite profiling. Arsenite exposure affected transcription of genes encoding functions related to protein biosynthesis, arsenic detoxification, oxidative stress defense, redox maintenance and proteolytic activity. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL4462

3 Samples

Download data: IMAGENE

(Submitter supplied) Arsenic is ubiquitously present in nature and various mechanisms have evolved enabling cells to evade toxicity and acquire tolerance. Herein, we explored how Saccharomyces cerevisiae (budding yeast) respond to trivalent arsenic (arsenite) by quantitative and kinetic transcriptome, proteome and sulfur metabolite profiling. Arsenite exposure affected transcription of genes encoding functions related to protein biosynthesis, arsenic detoxification, oxidative stress defense, redox maintenance and proteolytic activity. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL4462

15 Samples

Download data: GPR, IMAGENE

(Submitter supplied) Arsenic is ubiquitously present in nature and various mechanisms have evolved enabling cells to evade toxicity and acquire tolerance. Herein, we explored how Saccharomyces cerevisiae (budding yeast) respond to trivalent arsenic (arsenite) by quantitative and kinetic transcriptome, proteome and sulfur metabolite profiling. Arsenite exposure affected transcription of genes encoding functions related to protein biosynthesis, arsenic detoxification, oxidative stress defense, redox maintenance and proteolytic activity. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL4462

3 Samples

Download data: IMAGENE

(Submitter supplied) Arsenic is ubiquitously present in nature and various mechanisms have evolved enabling cells to evade toxicity and acquire tolerance. Herein, we explored how Saccharomyces cerevisiae (budding yeast) respond to trivalent arsenic (arsenite) by quantitative and kinetic transcriptome, proteome and sulfur metabolite profiling. Arsenite exposure affected transcription of genes encoding functions related to protein biosynthesis, arsenic detoxification, oxidative stress defense, redox maintenance and proteolytic activity. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL4462

6 Samples

Download data: GPR

(Submitter supplied) Understanding how gene expression programs are controlled requires identifying regulatory relationships between transcription factors and target genes. Gene regulatory networks are typically constructed from gene expression data acquired following genetic perturbation or environmental stimulus. Single-cell RNA sequencing (scRNAseq) captures the gene expression state of thousands of individual cells in a single experiment, offering advantages in combinatorial experimental design, large numbers of independent measurements, and accessing the interaction between the cell cycle and environmental responses that is hidden by population-level analysis of gene expression. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by high throughput sequencing

Platform:

GPL19756

12 Samples

Download data: MTX, TSV