GEO DataSets

(Submitter supplied) We subjected yeast to two stresses, oxidative stress, which under current settings induces a fast and transient response in mRNA abundance, and DNA damage, which triggers a slow enduring response. Using microarrays we performed a conventional quantification of change in mRNA abundance. Keywords: Two separate time courses

Organism:

Saccharomyces cerevisiae; Schizosaccharomyces pombe

Type:

Expression profiling by array

Platform:

GPL2529

12 Samples

Download data: CEL

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

Organism:

Saccharomyces cerevisiae; Schizosaccharomyces pombe

Type:

Expression profiling by array

Platform:

GPL2529

49 Samples

Download data: CEL

(Submitter supplied) We subjected yeast to two stresses, oxidative stress, which under current settings induces a fast and transient response in mRNA abundance, and DNA damage, which triggers a slow enduring response. Using microarrays, we performed a transcriptional arrest experiment to measure genome-wide mRNA decay profiles under each condition. Genome-wide decay kinetics in each condition were compared to decay experiments that were performed in a reference condition (only transcription inhibition without an additional stress) to quantify changes in mRNA stability in each condition. more...

Organism:

Schizosaccharomyces pombe; Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL2529

37 Samples

Download data: CEL

(Submitter supplied) For each strain two time courses for mRNA abundance: Oxidative and MMS and two time courses for decay: reference decay and following oxidative stress

Organism:

Saccharomyces cerevisiae; Schizosaccharomyces pombe

Type:

Expression profiling by array

Platform:

GPL2529

58 Samples

Download data: CEL, TXT

(Submitter supplied) Six strains of Saccharomyces cerevisiae were grown in four different environments representing a continuum of rich and poor natural conditions Keywords: Stress response, genetic diversity

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL2682

91 Samples

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(Submitter supplied) Time course after the addition of the transcriptional inhibitor thiolutin at 3 and 10 µg/mL to an exponential growing culture of S. cerevisiae in YPD. Keywords: time course, mRNA stability analysis

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL3763

6 Samples

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(Submitter supplied) Time course after the addition of the transcriptional inhibitor thiolutin at 3µg/mL to an exponential growing culture of S. cerevisiae in YPD. Keywords: time course, mRNA stability analysis

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by array

Platform:

GPL3763

5 Samples

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(Submitter supplied) We have employed whole genome microarray expression profiling to track the transcriptome expression change under DTT induced protein misfolding stress. The relative importance of gene expression regulation at the mRNA versus the protein-level is a matter of ongoing debate. We present an in-depth analysis of a cervical cancer cell line responding to protein misfolding stress induced by dithiothreitol treatment, quantifying the dynamics of mRNA and protein concentrations for >3,500 genes over a time-course 30 hours. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13607

16 Samples

Download data: TXT

(Submitter supplied) Arabidopsis 5’-3’ exoribonuclease, AtXRN4, a homolog of yeast Xrn1p, functions in degradation of uncapped RNAs after de-capping step. While Xrn1p-dependent on plant XRN4’s targets for degradation is still limited. For understanding biological function of AtXRN4, we tested survivability of atxrn4 mutants under heat stress. Our results showed that atxrn4 mutants increased survival rate under short-term degradation is a main mRNA decay in yeast, knowledge heat stress compared with WT plants. more...

Organism:

Arabidopsis thaliana

Type:

Expression profiling by array

Platform:

GPL19830

12 Samples

Download data: TXT

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

Organism:

Mycolicibacterium smegmatis MC2 155; Mycobacterium tuberculosis H37Rv

Type:

Other

Platforms:

GPL14824 GPL15323

87 Samples

Download data: PAIR

(Submitter supplied) After induction of DosR from a tet regulated promoter (uninduced controls were treated with an equivalent ammount of the solvent, DMSO), transcription was arrested using 50 ug/ul of rifampin leaving RNA degradation as the sole vector responsible for mRNA abundance. mRNA half-lives were calculated from the decay of signal intensity from T0.

Organism:

Mycobacterium tuberculosis H37Rv

Type:

Other

Platform:

GPL14824

30 Samples

Download data: PAIR

(Submitter supplied) Transcription was arrested using 50 ug/ul of rifampin leaving RNA degradation as the sole vector responsible for mRNA abundance at 20C (cold) or in 0.2%O2 (hypoxia). mRNA half-lives were calculated from the decay of signal intensity from T0.

Organism:

Mycobacterium tuberculosis H37Rv

Type:

Other

Platform:

GPL14824

24 Samples

Download data: PAIR

(Submitter supplied) Transcription was arrested using 50 ug/ul of rifampin leaving RNA degradation as the sole vector responsible for mRNA abundance. mRNA half-lives were calculated from the decay of signal intensity from T0.

Organism:

Mycolicibacterium smegmatis MC2 155

Type:

Other

Platform:

GPL15323

9 Samples

Download data: PAIR

(Submitter supplied) Transcription was arrested using 50 ug/ul of rifampin leaving RNA degradation as the sole vector responsible for mRNA abundance. mRNA half-lives were calculated from the decay of signal intensity from T0.

Organism:

Mycobacterium tuberculosis H37Rv

Type:

Other

Platform:

GPL14824

24 Samples

Download data: PAIR

(Submitter supplied) Transcriptional responses to stimuli are regulated by tuning rates of transcript production and degradation. Here we show that stimulation-induced changes in transcript production and degradation rates can be inferred from simultaneously measured precursor mRNA (pre-mRNA) and mature mRNA profiles. Our studies on the transcriptome-wide responses to extracellular stimuli in different cellular model systems revealed hitherto unanticipated dynamics of transcript production and degradation rates. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5188

21 Samples

Download data: CEL