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GSE33538
Homo sapiens
24 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
MicroRNAs (miRs) function primarily as post-transcriptional negative regulators of gene expression through binding to their mRNA targets. Reliable prediction of a miRs targets is a considerable bioinformatic challenge of great importance for inferring the miRs function. Sequence-based prediction algorithms have high false-positive rates, are not in agreement, and are not biological context specific. Here we introduce CoSMic (Context-Specific MicroRNA analysis), an algorithm that combines sequence-based prediction with miR and mRNA expression data. CoSMic differs from existing methodsit identifies miRs that play active roles in the specific biological system of interest and predicts with less false positives their functional targets. We applied CoSMic to search for miRs that regulate the migratory response of human mammary cells to epidermal growth factor (EGF) stimulation. Several such miRs, whose putative targets were significantly enriched by migration processes were identified. We tested three of these miRs experimentally, and showed that they indeed affected the migratory phenotype; we also tested three negative controls. In comparison to other algorithms CoSMic indeed filters out false positives and allows improved identification of context-specific targets. CoSMic can greatly facilitate miR research in general and, in particular, advance our understanding of individual miRs function in a specific context.
Publication Title
Context-specific microRNA analysis: identification of functional microRNAs and their mRNA targets.
Sample Metadata Fields
Cell line
View Samples- Saccharomyces cerevisiae
- 57 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
For each strain two time courses for mRNA abundance: Oxidative and MMS and two time courses for decay: reference decay and following oxidative stress
Publication Title
Transcriptome kinetics is governed by a genome-wide coupling of mRNA production and degradation: a role for RNA Pol II.
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 49 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 37 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
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. We found condition-specific changes in mRNA decay rates and coordination between mRNA production and degradation. In the transient response, most induced genes were surprisingly destabilized, while repressed genes were somewhat stabilized, exhibiting counteraction between production and degradation. This strategy can reconcile high steady-state level with short response time among induced genes. In contrast, the stress that induces the slow response displays the more expected behavior, whereby most induced genes are stabilized, and repressed genes destabilized. Our results show genome-wide interplay between mRNA production and degradation, and that alternative modes of such interplay determine the kinetics of the transcriptome in response to stress.
Publication Title
Transient transcriptional responses to stress are generated by opposing effects of mRNA production and degradation.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Genomic-wide transcriptional profiling in primary myoblasts reveals Runx1-regulated genes in muscle regeneration.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Addiction of t(8;21) and inv(16) acute myeloid leukemia to native RUNX1.
Sample Metadata Fields
Cell line
View Samples- Saccharomyces cerevisiae
- 22 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
S. cerevisae cells were exposed to different series of mild stresses. Stress type include heat shock, oxidative and osmotic stresses.
Publication Title
No associated publication
Sample Metadata Fields
Time
View Samples- Mus musculus
- 14 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Aire is a transcriptional regulator that induces promiscuous expression of thousands of tissue-restricted antigen (TRA) genes in medullary thymic epithelial cells (mTECs). While the target genes of Aire are well characterized, the transcriptional programs regulating its own expression remain elusive. We used Affymetrix microarrays to analyze the gene expression patterns of Aire expressing cells (mature mTECs and Thymic B cells) and compared them to control counterparts, namely immature mTECs, cortical Thymic epithelial cells and splenic B cells of tissue-restricted antigen (TRA) genes in medullary thymic epithelial cells (mTECs). While the target genes of Aire are well characterized, the transcriptional programs regulating its own expression remain elusive.
Publication Title
No associated publication
Sample Metadata Fields
Age, Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Cancer cells maintain a sensitive balance between growth-promoting oncogenes and apoptosis inhibitors. We show that WT RUNX1 is required for survival of t(8;21)-Kasumi-1 and inv(16)-ME-1 AML cell lines. The malignant AML phenotype is sustained by a delicate AML1-ETO/RUNX1 balance that involves competition for common DNA binding sites regulating a subset of AML1-ETO/RUNX1 targets.
Publication Title
Addiction of t(8;21) and inv(16) acute myeloid leukemia to native RUNX1.
Sample Metadata Fields
Cell line
View Samples- Saccharomyces cerevisiae
- 12 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
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.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples