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GSE49063
Mus musculus
28 Downloadable Samples
Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
Ag recognition via the TCR is necessary for the expansion of specific T cells that then contribute to adaptive immunity as effector and memory cells. Because CD4+ and CD8+ T cells differ in terms of their priming APCs and MHC ligands we compared their requirements of Ag persistence during their expansion phase side by side. Proliferation and effector differentiation of TCR transgenic and polyclonal mouse T cells were thus analyzed after transient and continuous TCR signals. Following equally strong stimulation, CD4+ T cell proliferation depended on prolonged Ag presence, whereas CD8+ T cells were able to divide and differentiate into effector cells despite discontinued Ag presentation. CD4+ T cell proliferation was neither affected by Th lineage or memory differentiation nor blocked by coinhibitory signals or missing inflammatory stimuli. Continued CD8+ T cell proliferation was truly independent of self-peptide/MHC-derived signals. The subset divergence was also illustrated by surprisingly broad transcriptional differences supporting a stronger propensity of CD8+ T cells to programmed expansion. These T cell data indicate an intrinsic difference between CD4+ and CD8+ T cells regarding the processing of TCR signals for proliferation. We also found that the presentation of a MHC class IIrestricted peptide is more efficiently prolonged by dendritic cell activation in vivo than a class I bound one. In summary, our data demonstrate that CD4+ T cells require continuous stimulation for clonal expansion, whereas CD8+ T cells can divide following a much shorter TCR signal.
Publication Title
Differential kinetics of antigen dependency of CD4+ and CD8+ T cells.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 17 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Danio rerio
- 15 Downloadable Samples
- Affymetrix Zebrafish Genome Array (zebrafish)
Description
Our study in zebrafish is the first to use an animal model to understand the biology of the developmental disorder Roberts Syndrome (RBS). RBS is caused by mutations in the ESCO2 gene.
Publication Title
A zebrafish model of Roberts syndrome reveals that Esco2 depletion interferes with development by disrupting the cell cycle.
Sample Metadata Fields
Age, Specimen part
View Samples- Homo sapiens
- 13 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
To further understand the differences occurring in MCF10A cells as they polarize and differentiate in the Transwell model, we performed gene expression profiling with Affymetrix Human Genome U133 Plus 2.0 Arrays. Four experimental time points, were sampled: conventional cultures of MCF10A cells grown on plastic (Monolayer) and MCF10A cells plated on Transwells sampled at three TEER values, 200-300 cm2 (Base), 1400-1600 cm2 (Midpoint), and 3000-3200 cm2 (Plateau).
Publication Title
In vitro multipotent differentiation and barrier function of a human mammary epithelium.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 11 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We compared TET1 and TET3 overexpressing cells to uninduced cells with endogenous levels of the respective transcript to determine global gene expression changes.
Publication Title
Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Arabidopsis thaliana
- 12 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
We initiated a study to investigate the transcriptional profiles associated with cell states of the stomatal lineage. A stem-cell like precursor of stomata, a meristemoid. reiterates asymmetric divisions and renews itself before differentiating into guard cells. The transient and asynchronous nature of the meristemoid has made it difficult to study its molecular characteristics. Through combinatorial use of genetic resources that either arrest or constitutively drive stomatal cell-state progressions due to loss- or gain-of-function mutations in the key transcription factor genes, SPEECHLESS, MUTE, and SCRM, we obtained seedlings highly enriched in pavement cells, meristemoids, or stomata. Here we present transcriptome and genome-wide trends in gene regulation associated with each cell state and identify molecular signatures associated with meristemoids.
Publication Title
Molecular profiling of stomatal meristemoids reveals new component of asymmetric cell division and commonalities among stem cell populations in Arabidopsis.
Sample Metadata Fields
Age, Specimen part
View Samples- Danio rerio
- 6 Downloadable Samples
IlluminaHiSeq2500
Description
We report that increased nutrient availability increases breeding success and egg production. RNA-seq analysis revealed that parental diet altered the expression of metabolic genes in the unfertilized eggs. Offspring from the differentially fed parents showed altered survival and energy expenditure as adults. Overall design: RNA from unfertilized eggs after two parental diets.
Publication Title
Dietary Intake Influences Adult Fertility and Offspring Fitness in Zebrafish.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We compared TET triple knockdown cells to control cells treated with non-targeting siRNAs to determine global gene expression changes.
Publication Title
Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells.
Sample Metadata Fields
Cell line, Treatment
View Samples- Mus musculus
- 72 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Genetic predisposition and environmental components contribute to an individuals non-alcoholic fatty liver disease (NAFLD) susceptibility. Therefore, we compared phenotypic variations of mouse strains extensively used in biomedical research during induction of high-fat diet (HFD)-mediated NAFLD and assessed transcriptional alterations in livers. In a time-resolved fashion we determined a wide spectrum of physiological parameters in C3HeB/FeJ (C3H), C57BL/6NTac, C57BL/6J, and 129P2/OlaHsd (129) males during a 7, 14, or 21 days HFD challenge and performed gene transcription analyses in steatotic livers.
Publication Title
Phenotypic comparison of common mouse strains developing high-fat diet-induced hepatosteatosis.
Sample Metadata Fields
Sex, Age, Treatment
View Samples- Homo sapiens
- 29 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Genes upregulated by low oxygen have been suggested as endogenous markers for tumor hypoxia. Yet, most of the genes investigated have shown inconsistent results, which have led to concerns about their ability to be true hypoxia markers. Previous studies have demonstrated that expression of hypoxia induced genes can be affected by extracellular pH (pH e ). Methods: Five different human cell lines (SiHa, FaDu DD, UTSCC5, UTSCC14 and UTSCC15) were exposed to different oxygen concentrations and pH (7.5 or 6.3), and gene expression analyzed with microarray (Affymetrix - Human Genome U133 Plus 2.0 Array). Results: An analysis of two of the cell lines using SAM identified 461 probesets that were able to separate the four groups Normal oxygen, normal pH , Low oxygen, normal pH , Normal oxygen, low pH and Low oxygen, low pH . From here it was possible to identify a fraction of probesets induced at low oxygen independent of pH in these two cell lines, this fraction included HIG2, NDRG1, PAI1 and RORA. Further verifi cation by qPCR highlighted the necessity of using more cell lines to obtain a robust gene expression profi les. To specifi cally select pH independent hypoxia regulated genes across more cell lines, data for FaDu DD, UTSCC5, UTSCC14 and UTSCC15 were analyzed to identify genes that were induced by hypoxia in each cell line, where the induction was not affected by low pH, and where the gene was not signifi cantly induced by low pH alone. Each cell line had 65 122 probesets meeting these criteria. For genes to be considered as target genes (hypoxia inducible pH independent), genes had to be present in three of four cell lines. Conclusion: The result is a robust hypoxia profile unaffected by pH across cell lines consisting of 27 genes. This study demonstrates a way to identify hypoxia markers by microarray, where other factors in the tumor microenvironment are taken into account.
Publication Title
Identifying pH independent hypoxia induced genes in human squamous cell carcinomas in vitro.
Sample Metadata Fields
Cell line
View Samples