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GSE66521
Saccharomyces cerevisiae
16 Downloadable Samples
Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Natural grape-juice fermentations involve the sequential development of different yeast species which strongly influence the chemical and sensorial traits of the final product. In the present study,we aimed to examine the transcriptomic response of Saccharomyces cerevisiae to the presence of Hanseniaspora guilliermondii wine fermentation.
Publication Title
Genomic expression program of Saccharomyces cerevisiae along a mixed-culture wine fermentation with Hanseniaspora guilliermondii.
Sample Metadata Fields
Treatment, Time
View Samples- Mus musculus
- 18 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Dissecting the retinoid-induced differentiation of F9 embryonal stem cells by integrative genomics.
Sample Metadata Fields
Cell line, Time
View Samples- Homo sapiens
- 5 Downloadable Samples
Affymetrix Mapping 250K Nsp SNP Array (mapping250knsp), Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Reconstruction of gene regulatory networks reveals chromatin remodelers and key transcription factors in tumorigenesis.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 18 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Retinoic acid (RA) triggers physiological processes by activating heterodimeric transcription factors comprising retinoic acid (RARa,b,g) and retinoid X (RXRa,b,g) receptors. How a single signal induces highly complex temporally controlled networks that ultimately orchestrate physiological processes is unclear. Using an RA-inducible differentiation model we defined the temporal changes in the genome-wide binding patterns of RARg and RXRa and correlated them with transcription regulation. Unexpectedly, both receptors displayed a highly dynamic binding, with different RXRa heterodimers targeting identical loci. Comparison of RARg and RXRa co-binding at RA-regulated genes identified putative RXRa-RARg target genes that were validated with subtype-selective agonists. Gene regulatory decisions during differentiation were inferred from transcription factor target gene information and temporal gene expression. This analysis revealed 6 distinct co-expression paths of which RXRa-RARg is associated with transcription activation, while Sox2 and Egr1 were predicted to regulate repression. Finally, RXRa-RARg regulatory networks were reconstructed through integration of functional co-citations. Our analysis provides a dynamic view of RA signalling during cell differentiation, reveals RA heterodimer dynamics and promiscuity, and predicts decisions that diversify the RA signal into distinct gene-regulatory programs.
Publication Title
Dissecting the retinoid-induced differentiation of F9 embryonal stem cells by integrative genomics.
Sample Metadata Fields
Cell line, Time
View Samples- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Senescent cells secrete a plethora of factors with potent paracrine signaling capacity. Strikingly, senescence, which acts as a defense against cell transformation, exerts pro-tumorigenic activities through its secretome by promoting numerous tumor-specific features, such as cellular proliferation, epithelial-mesenchymal transition and invasiveness. Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) has the unique activity of activating cell death exclusively in tumor cells. Given that the senescence-associated secretome supports cell transformation, we asked whether factor(s) of this secretome would establish a program required for the acquisition of TRAIL sensitivity. We found that conditioned media from several types of senescent cells (CMS) efficiently sensitized pre-transformed cells to TRAIL, while the same was not observed with normal or immortalized cells. Dynamic transcription profiling analysis of CMS-exposed pre-transformed cells revealed paracrine autoregulatory loop of senescence-associated secretome factors and a dominant role of CMS-induced MYC. Sensitization to TRAIL coincided with MYC upregulation and massive changes in gene regulation. CMS-induced MYC silenced its target gene CFLAR, encoding the apoptosis inhibitor FLIPL, thus leading to the acquisition of TRAIL sensitivity. Altogether, our results reveal that senescent cell-secreted factors exert a TRAIL sensitizing effect on pre-transformed cells by modulating the expression of MYC and CFLAR. Notably, CMS dose-dependent sensitization to TRAIL was observed with TRAIL-insensitive cancer cells and confirmed in co-culture experiments. Dissection and characterization of TRAIL-sensitizing CMS factors and the associated signaling pathway(s) may provide a mechanistic insight in the acquisition of TRAIL sensitivity and lead to novel concepts for the apoptogenic therapy of pre-malignant and TRAIL-resistant tumors.
Publication Title
Senescence-secreted factors activate Myc and sensitize pretransformed cells to TRAIL-induced apoptosis.
Sample Metadata Fields
Cell line, Treatment, Time
View Samples- Homo sapiens
- 5 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st), Affymetrix Mapping 250K Nsp SNP Array (mapping250knsp)
Description
The mechanistic links between transcription factors and the epigenetic landscape, which coordinate the deregulation of gene networks during cell transformation are largely unknown. We used an isogenic model of stepwise tumorigenic transformation of human primary cells to monitor the progressive deregulation of gene networks upon immortalization and oncogene-induced transformation. By combining transcriptome and epigenome data for each step during transformation and by integrating transcription factor (TF) - target gene associations, we identified 142 Tfs and 24 chromatin remodelers/modifiers (CRMs), which are preferentially associated with specific co-expression paths that originate from deregulated gene programming during tumorigenesis. These Tfs are involved in the regulation of divers processes, including cell differentiation, immune response and establishment/modification of the epigenome. Unexpectedly, the analysis of chromatin state dynamics revealed patterns that distinguish groups of genes, which are not only co-regulated but also functionally related. Further decortication of TF targets enabled us to define potential key regulators of cell transformation, which are engaged in RNA metabolism and chromatin remodelling. Our study suggests a direct implication of CRMs in oncogene-induced tumorigenesis and identifies new CRMs involved in this process. This is the first comprehensive view of gene regulatory networks that are altered during the process of stepwise human cellular tumorigenesis in a virtually isogenic system.
Publication Title
Reconstruction of gene regulatory networks reveals chromatin remodelers and key transcription factors in tumorigenesis.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Reconstructed cell fate-regulatory programs in stem cells reveal hierarchies and key factors of neurogenesis.
Sample Metadata Fields
Specimen part, Time
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We have integrated dynamic RXRa binding, chromatin accessibility and promoter epigenetic status with the transcriptional activity inferred from RNA polymerase II mapping and transcription profiling. This demonstrated a temporal organization structure, in which early events are preferentially enriched for common GRNs, while cell fate specification is reflected by the activation of late programs in a cell-type specific manner. Furthermore, significant differences in cell lines' promoter status of genes associated with cell-line specific programs were inferred. Finally, a variety of transcription factors (TFs) playing a direct role in the signal transduction cascade downstream of the RXR/RAR initiated wiring were identified, several of them commonly regulated in both model systems, but in addition cell-type specific TF drivers were also identified.
Publication Title
Reconstructed cell fate-regulatory programs in stem cells reveal hierarchies and key factors of neurogenesis.
Sample Metadata Fields
Specimen part, Time
View Samples- Saccharomyces cerevisiae
- 35 Downloadable Samples
Illumina HiSeq 2000
Description
The three-dimensional (3D) organization of chromosomes can influence transcription. However, the frequency and magnitude of these effects is still controversial. To determine how changes in chromosome positioning affect transcription we characterized nuclear organization and global gene expression after large-scale chromosomal rearrangements in budding yeast. We used computational modelling and single cell imaging to determine chromosome position and integrated these data with genome-wide transcriptional profiles from RNA sequencing. Chromosome displacement relative to the nuclear periphery has mild but widespread and significant effects on transcription. Our study suggests that basal transcriptional activity is sensitive to radial changes on chromosomal position, and provides support for the functional relevance of budding yeast chromosome-level 3D organization in gene expression. Overall design: We analysed 42 samples in total: wildtype (409) strain (4 replicas), mutant strain 524 (4 replicas), mutant strain 527 (4 replicas), mutant strain 1138 (4 replicas), mutant strain 1228 (4 replicas), mutant strain 1379 (4 replicas), mutant strain 1387 (4 replicas), mutant strain 1380 (4 replicas), mutant strain 1388 (4 replicas), mutant strain 1788 (3 replicas), mutant strain 1793 (3 replicas)
Publication Title
Impact of Chromosome Fusions on 3D Genome Organization and Gene Expression in Budding Yeast.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 10 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
A toxicogenomic analysis from liver of different pharmacological active coumarins (mammea A/BA+A/BB 3:1 and soulatrolide ) was performed on mice treated (20mg/kg/daily) for a whole week to evaluate if such compounds possess or could develop a hazardous profile on liver.
Publication Title
Toxicogenomic analysis of pharmacological active coumarins isolated from Calophyllum brasiliense.
Sample Metadata Fields
Sex, Specimen part, Treatment
View Samples