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Mus musculus
18 Downloadable Samples
Affymetrix Mouse Gene 2.1 ST Array (mogene21st)
Description
We used microarrays to compare gene expression profile of spleen CD8 T cells from IL-17RA KO and WT mice at different time-point after T. cruzi infection.
Publication Title
IL-17RA-Signaling Modulates CD8+ T Cell Survival and Exhaustion During <i>Trypanosoma cruzi</i> Infection.
Sample Metadata Fields
Specimen part, Time
View Samples- Homo sapiens
- 225 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
Allergic diseases correspond to a broad range of hypersensitivity reactions, often occurring as co-morbidities. Investigation of the molecular basis of allergy is a challenge because of its highly heterogeneous nature. We combined large-scale and high-throughput gene expression technology and systems biology approaches to retrieve relevant biomarkers and signalling pathways.
Publication Title
A novel whole blood gene expression signature for asthma, dermatitis, and rhinitis multimorbidity in children and adolescents.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 53 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
Allergic diseases correspond to a broad range of hypersensitivity reactions, often occurring as co-morbidities. Investigation of the molecular basis of allergy is a challenge because of its highly heterogeneous nature. We combined large-scale and high-throughput gene expression technology and systems biology approaches to retrieve relevant biomarkers and signalling pathways.
Publication Title
A novel whole blood gene expression signature for asthma, dermatitis, and rhinitis multimorbidity in children and adolescents.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Normal and diseased human tissues were profiled for gene expression using the Affymetrix U133 plus 2.0 array
Publication Title
Human endometriosis is associated with plasma cells and overexpression of B lymphocyte stimulator.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 51 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
Adipose tissue from 6 non-obese patients was collagenase treated and adipocytes separated from the stromal vascular fraction(SVF). SVF was then FACS sorted for the following fractions CD45-/CD34+/CD31+ (endothelial), CD45-/CD34+/CD31- (progenitor), CD45+/CD14+ (monocyte/macrophage), CD45+/CD14-(Leukocyte). RNA was isolated from adipocyte, SVF, progenitor, macrophage/monocyte and leukocyte fractions and analyzed on the Affymetrix Human Transcriptome 2.0 array. We also sorted SVF from an additional 13 (10 non-obese, 9 obese) patients and sent progenitor RNA for Affymetrix Human Transcriptome 2.0 array analysis.
Publication Title
The cell-type specific transcriptome in human adipose tissue and influence of obesity on adipocyte progenitors.
Sample Metadata Fields
Sex, Specimen part, Subject
View Samples- Saccharomyces cerevisiae
- 6 Downloadable Samples
Illumina Genome Analyzer II
Description
Saccharomyces cerevisiae cannot metabolize cellobiose in nature. Here, S. cerevisiae was engineered to achieve cellobiose utilization by introducing both a cellodextrin transporter gene (cdt-1) and an intracellular ß-glucosidase gene (gh1-1) from Neurospora crassa. We sequenced mRNA from anaerobic exponential cultures of engineered S. cerevisiae grown on cellobiose or glucose as a single carbon source in biological triplicate. Differences in gene expression between cellobiose and glucose metabolism revealed by RNA deep sequencing indicated that cellobiose metabolism induced mitochondrial activation and reduced amino acid biosynthesis under fermentation conditions. Overall design: mRNA levels in cellobiose-grown and glucose-grown cells of engineered cellobiose-utilizing Saccharomyces cerevisiae were examined by deep sequencing, in triplicate, using Illumina Genome Analyzer-II. We sequenced 3 samples from cellobiose-grown cells and 3 samples from glucose-grown cells and identified differential expressions in the cellobiose versus glucose fermentations by using mRNA levels of glucose-grown cells as a reference.
Publication Title
Leveraging transcription factors to speed cellobiose fermentation by Saccharomyces cerevisiae.
Sample Metadata Fields
Cell line, Subject
View Samples
GSE65840- Arabidopsis thaliana
- 6 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
A major role of NINJA is to repress root jasmonate signalling and allow normal cell elongation.
Publication Title
Multilayered Organization of Jasmonate Signalling in the Regulation of Root Growth.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 9 Downloadable Samples
- Ion Torrent Proton
Description
In the present study, we analyze the effect of knocking down LSG1 and KRas(V12D) overexpression in MRC5 cells in the transcriptome using Ampliseq RNA sequencig. We observed that shLSG1 induced a potent senescence response that is characterized by the activation of ER-Stress and cholesterol biosynthetic pathway Overall design: MRC5 were transfected with siRNA to knockdown the small GTPase LSG1. Total mRNA was extracted and expression profiles were analyzed.
Publication Title
Inhibition of the 60S ribosome biogenesis GTPase LSG1 causes endoplasmic reticular disruption and cellular senescence.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 18 Downloadable Samples
- Illumina Genome Analyzer IIx
Description
Cells adapt to environmental changes, including fluctuations in oxygen levels, through the induction of specific gene expression programs. To identify genes regulated by hypoxia at the transcriptional level, we pulse-labeled HUVEC cells with 4-thiouridine and sequenced nascent transcripts. Then, we searched genome-wide binding profiles from the ENCODE project for factors that correlated with changes in transcription and identified binding of several components of the Sin3A co-repressor complex, including SIN3A, SAP30 and HDAC1/2, proximal to genes repressed by hypoxia. SIN3A interference revealed that it participates in the downregulation of 75% of the hypoxia-repressed genes in endothelial cells. Unexpectedly, it also blunted the induction of 47% of the upregulated genes, suggesting a role for this corepressor in gene induction. In agreement, ChIP-seq experiments showed that SIN3A preferentially localizes to the promoter region of actively transcribed genes and that SIN3A signal was enriched in hypoxia-repressed genes, prior exposure to the stimulus. Importantly, SINA3 occupancy was not altered by hypoxia in spite of changes in H3K27ac signal. In summary, our results reveal a prominent role for SIN3A in the transcriptional response to hypoxia and suggest a model where modulation of the associated histone deacetylase activity, rather than its recruitment, determines the transcriptional output. Overall design: Exponentially growing non-synchronized HUVEC were exposed to normoxia or hypoxia (21% or 1% oxygen respectively) for 8 hours and pulse-labelled with 4-thiouridine during the last two hours of treatment. RNA was extracted from samples in each condition (total RNA) and an aliquot was subjected to affinity chromatography to purify the 4-thiouridine-labelled (newly transcribed RNA, Newly Tr) and non-labelled (Pre-existent) RNA fractions. All three RNA fractions (total, newly transcribed and pre-existent) from each sample were analyzed by high-throughput sequencing. Submission includes 12 samples corresponding to 3 independent biological replicates.
Publication Title
The SIN3A histone deacetylase complex is required for a complete transcriptional response to hypoxia.
Sample Metadata Fields
Cell line, Treatment, Subject
View Samples- Homo sapiens
- 8 Downloadable Samples
- Illumina HiSeq 1500
Description
Cells adapt to environmental changes, including fluctuations in oxygen levels, through the induction of specific gene expression programs. To identify genes regulated by hypoxia at the transcriptional level, we pulse-labeled HUVEC cells with 4-thiouridine and sequenced nascent transcripts. Then, we searched genome-wide binding profiles from the ENCODE project for factors that correlated with changes in transcription and identified binding of several components of the Sin3A co-repressor complex, including SIN3A, SAP30 and HDAC1/2, proximal to genes repressed by hypoxia. SIN3A interference revealed that it participates in the downregulation of 75% of the hypoxia-repressed genes in endothelial cells. Unexpectedly, it also blunted the induction of 47% of the upregulated genes, suggesting a role for this corepressor in gene induction. In agreement, ChIP-seq experiments showed that SIN3A preferentially localizes to the promoter region of actively transcribed genes and that SIN3A signal was enriched in hypoxia-repressed genes, prior exposure to the stimulus. Importantly, SINA3 occupancy was not altered by hypoxia in spite of changes in H3K27ac signal. In summary, our results reveal a prominent role for SIN3A in the transcriptional response to hypoxia and suggest a model where modulation of the associated histone deacetylase activity, rather than its recruitment, determines the transcriptional output. Overall design: Exponentially growing non-synchronized HUVEC were transduced with lentiviral particles encoding for shRNA targeting EPAS1 or control shRNA. 72h after infection, cells were exposed to normoxia or hypoxia (21% or 1% oxygen respectively) for 8 hours and pulse-labelled with 4-thiouridine during the last two hours of treatment. RNA was extracted from samples in each condition (total RNA) and an aliquot subjected to affinity chromatography to purify the 4-thiouridine-labelled RNA fraction (newly transcribed RNA, Newly Tr). Both RNA fractions from each condition were analyzed by high-throughput sequencing. Data includes 8 samples from a single biological replicate.
Publication Title
The SIN3A histone deacetylase complex is required for a complete transcriptional response to hypoxia.
Sample Metadata Fields
Cell line, Subject
View Samples