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GSE61899
Arabidopsis thaliana
96 Downloadable Samples
Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
The Circadian Clock Modulates Global Daily Cycles of mRNA Ribosome Loading.
Sample Metadata Fields
Age, Specimen part
View Samples- Arabidopsis thaliana
- 36 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Circadian control of gene expression has been established in plants at the transcriptional level, but relatively little is known about circadian control of translation. We used polysome profiling to characterize regulation of transcription and translation over a 24-hour diurnal cycle in Arabidopsis, both in wild type and in plants with a disrupted clock due to constitutive overexpression of the CIRCADIAN CLOCK ASSOCIATED 1 gene (CCA1-ox, AGI AT2G46830).
Publication Title
The Circadian Clock Modulates Global Daily Cycles of mRNA Ribosome Loading.
Sample Metadata Fields
Age, Specimen part
View Samples- Arabidopsis thaliana
- 36 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Circadian control of gene expression has been established in plants at the transcriptional level, but relatively little is known about circadian control of translation. We used polysome profiling to characterize regulation of transcription and translation over a 24-hour diurnal cycle in Arabidopsis, both in wild type and in plants with a disrupted clock due to constitutive overexpression of the CIRCADIAN CLOCK ASSOCIATED 1 gene (CCA1-ox, AGI AT2G46830).
Publication Title
The Circadian Clock Modulates Global Daily Cycles of mRNA Ribosome Loading.
Sample Metadata Fields
Age, Specimen part
View Samples- Arabidopsis thaliana
- 12 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Circadian control of gene expression has been established in plants at the transcriptional level, but relatively little is known about circadian control of translation. We used polysome profiling to characterize regulation of transcription and translation over a 24-hour diurnal cycle in Arabidopsis, both in wild type and in plants with a disrupted clock due to constitutive overexpression of the CIRCADIAN CLOCK ASSOCIATED 1 gene (CCA1-ox, AGI AT2G46830).
Publication Title
The Circadian Clock Modulates Global Daily Cycles of mRNA Ribosome Loading.
Sample Metadata Fields
Age, Specimen part
View Samples- Arabidopsis thaliana
- 12 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Circadian control of gene expression has been established in plants at the transcriptional level, but relatively little is known about circadian control of translation. We used polysome profiling to characterize regulation of transcription and translation over a 24-hour diurnal cycle in Arabidopsis, both in wild type and in plants with a disrupted clock due to constitutive overexpression of the CIRCADIAN CLOCK ASSOCIATED 1 gene (CCA1-ox, AGI AT2G46830).
Publication Title
The Circadian Clock Modulates Global Daily Cycles of mRNA Ribosome Loading.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 28 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 13 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
Genome-wide identification of bona fide targets of transcription factors in mammalian cells is still a challenge. We present a novel integrated computational and experimental approach to identify direct targets of a transcription factor. This consists in measuring time-course (dynamic) gene expression profiles upon perturbation of the transcription factor under study, and in applying a novel reverse-engineering algorithm (TSNI) to rank genes according to their probability of being direct targets. Using primary keratinocytes as a model system, we identified novel transcriptional target genes of Trp63, a crucial regulator of skin development. TSNI-predicted Trp63 target genes were validated by Trp63 knockdown and by ChIP-chip to identify Trp63-bound regions in vivo. Our study revealed that short sampling times, in the order of minutes, are needed to capture the dynamics of gene expression in mammalian cells. We show that Trp63 transiently regulates a subset of its direct targets, thus highlighting the importance of considering temporal dynamics when identifying transcriptional targets. Using this approach, we uncovered a previously unsuspected transient regulation of the AP-1 complex by Trp63, through direct regulation of a subset of AP-1 components. The integrated experimental and computational approach described here is readily applicable to other transcription factors in mammalian systems and is complementary to genome-wide identification of transcription factor binding sites.
Publication Title
Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Analysis of newborn mouse epidermis lacking the expression of Insulin receptor (IR) and Insulin like growth factor 1 receptor (IGF-1R). Results show that IR/IGF-1R signalling control epidermal morphogenesis.
Publication Title
Insulin/IGF-1 controls epidermal morphogenesis via regulation of FoxO-mediated p63 inhibition.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
Genome-wide identification of bona fide targets of transcription factors in mammalian cells is still a challenge. We present a novel integrated computational and experimental approach to identify direct targets of a transcription factor. This consists in measuring time-course (dynamic) gene expression profiles upon perturbation of the transcription factor under study, and in applying a novel reverse-engineering algorithm (TSNI) to rank genes according to their probability of being direct targets. Using primary keratinocytes as a model system, we identified novel transcriptional target genes of Trp63, a crucial regulator of skin development. TSNI-predicted Trp63 target genes were validated by Trp63 knockdown and by ChIP-chip to identify Trp63-bound regions in vivo. Our study revealed that short sampling times, in the order of minutes, are needed to capture the dynamics of gene expression in mammalian cells. We show that Trp63 transiently regulates a subset of its direct targets, thus highlighting the importance of considering temporal dynamics when identifying transcriptional targets. Using this approach, we uncovered a previously unsuspected transient regulation of the AP-1 complex by Trp63, through direct regulation of a subset of AP-1 components. The integrated experimental and computational approach described here is readily applicable to other transcription factors in mammalian systems and is complementary to genome-wide identification of transcription factor binding sites.
Publication Title
Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 7 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
Genome-wide identification of bona fide targets of transcription factors in mammalian cells is still a challenge. We present a novel integrated computational and experimental approach to identify direct targets of a transcription factor. This consists in measuring time-course (dynamic) gene expression profiles upon perturbation of the transcription factor under study, and in applying a novel reverse-engineering algorithm (TSNI) to rank genes according to their probability of being direct targets. Using primary keratinocytes as a model system, we identified novel transcriptional target genes of Trp63, a crucial regulator of skin development. TSNI-predicted Trp63 target genes were validated by Trp63 knockdown and by ChIP-chip to identify Trp63-bound regions in vivo. Our study revealed that short sampling times, in the order of minutes, are needed to capture the dynamics of gene expression in mammalian cells. We show that Trp63 transiently regulates a subset of its direct targets, thus highlighting the importance of considering temporal dynamics when identifying transcriptional targets. Using this approach, we uncovered a previously unsuspected transient regulation of the AP-1 complex by Trp63, through direct regulation of a subset of AP-1 components. The integrated experimental and computational approach described here is readily applicable to other transcription factors in mammalian systems and is complementary to genome-wide identification of transcription factor binding sites.
Publication Title
Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering.
Sample Metadata Fields
No sample metadata fields
View Samples