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GSE26290
Mus musculus
12 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
In cytotoxic T cells (CTL), Protein Kinase B /Akt is activated by the T cell antigen receptor (TCR) and the cytokine Interleukin 2 (IL2), in part by phosophorylation of Akt by Phospholipid dependent kinase 1 (PDK1).
Publication Title
Protein kinase B controls transcriptional programs that direct cytotoxic T cell fate but is dispensable for T cell metabolism.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Comparison of transcriptional profile of TCR stimulated P14-TCR wild-type and P14-PKD2 null murine lymph node cells
Publication Title
Protein kinase D2 has a restricted but critical role in T-cell antigen receptor signalling in mature T-cells.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Comparison of transcriptional profile of CD8 cytotoxic T lymphocytes terated with the mTORC1 inhibitor rapamycin or the mTOR inhibitor KU-0063794 and comparison with proteomic analysis.
Publication Title
The cytotoxic T cell proteome and its shaping by the kinase mTOR.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
On triggering of the T cell receptor CD8 T lymphocytes downregulate expression of the transcription factor KLF2. KLF2 expression remains low as these cells differentiate to Cytotoxic T lymphocytes (CTL) but may be re-expressed depending on the local environmental signals.
Publication Title
The impact of KLF2 modulation on the transcriptional program and function of CD8 T cells.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The present study reports an unbiased analysis of the cytotoxic T cell serine-threonine phosphoproteome using high resolution mass spectrometry. Approximately 2,000 phosphorylations were identified in CTLs of which approximately 450 were controlled by TCR signaling. A significantly overrepresented group of molecules identified in the phosphoproteomic screen were transcription activators, co-repressors and chromatin regulators. A focus on the chromatin regulators revealed that CTLs have high expression of the histone deacetylase HDAC7 but continually phosphorylate and export this transcriptional repressor from the nucleus. HDAC7 dephosphorylation results in its nuclear accumulation and suppressed expression of genes encoding key cytokines, cytokine receptors and adhesion molecules that determine CTL function. The screening of the CTL phosphoproteome thus reveals intrinsic pathways of serine-threonine phosphorylation that target chromatin regulators in CTLs and determine the CTL functional program. We used Affymetrix microarray analysis to explore the molecular basis for the role of HDAC7 in CTLs and the impact of GFP-HDAC7 phosphorylation deficient mutant expression on the CTL transcriptional profile.
Publication Title
Phosphoproteomic analysis reveals an intrinsic pathway for the regulation of histone deacetylase 7 that controls the function of cytotoxic T lymphocytes.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 8 Downloadable Samples
Agilent-028005 SurePrint G3 Mouse GE 8x60K Microarray (Probe Name version), Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Loss of TET2 in hematopoietic cells leads to DNA hypermethylation of active enhancers and induction of leukemogenesis.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st), Agilent-028005 SurePrint G3 Mouse GE 8x60K Microarray (Probe Name version)
Description
DNA methylation is tightly regulated throughout mammalian development and altered DNA methylation patterns are a general hallmark of cancer. The methylcytosine dioxygenase TET2 is frequently mutated in hematological disorders, including acute myeloid leukemia (AML), and has been suggested to protect CpG islands and promoters from aberrant DNA methylation. In this study, we present a novel Tet2-dependent leukemia mouse model that closely recapitulates gene expression profiles and hallmarks of human AML1-ETO induced AML. Using this model, we show that the primary effect of Tet2 loss in pre-leukemic hematopoietic cells is progressive and widespread DNA hypermethylation affecting up to 25% of active enhancer elements. In contrast, CpG island and promoter methylation does not change in a Tet2-dependent manner, but increase relative to population doublings. We confirm this specific enhancer hypermethylation phenotype in human AML patients with TET2 mutations. Analysis of immediate gene expression changes reveals rapid deregulation of a large number of genes implicated in tumorigenesis, including many downregulated tumor suppressor genes. Hence, we propose that TET2 prevents leukemic transformation by protecting enhancers from aberrant DNA methylation, and that it is the combined silencing of several tumor suppressor genes in TET2-mutated hematopoietic cells that contribute to increased stem cell proliferation and leukemogenesis.
Publication Title
Loss of TET2 in hematopoietic cells leads to DNA hypermethylation of active enhancers and induction of leukemogenesis.
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 644 Downloadable Samples
Illumina HiSeq 2000
Description
High-throughput RNA sequencing (RNA-seq) is now the standard method to determine differential gene expression. Here, a 48 replicate, two condition RNA-seq experiment was designed specifically to test assumptions about RNA-seq read count variability models and the performance of methods for differential gene expression analysis by RNA-seq. Samples were run on an Illumina HiSeq for 50 cycles single-end and included ERCC RNA spike-ins. The high-replicate data allowed for strict quality control and screening of 'bad' replicates. The experiment allowed the effect of bad replicates to be assessed as well as providing guidelines for the number of replicates required for differential gene expression analysis and the most appropriate statistical tools. The mapping between technical replicates and biological replicates is provided via FigShare http://dx.doi.org/10.6084/m9.figshare.1416210 The gene read counts are also available on FigShare: https://dx.doi.org/10.6084/m9.figshare.1425503 https://dx.doi.org/10.6084/m9.figshare.1425502
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Gallus gallus
- 12 Downloadable Samples
- Affymetrix Chicken Genome Array (chicken)
Description
The spinal cord is generated progressively as cells leave the caudal region of the elongating body axis such that the temporal steps of neural differentiation become spatially separated along the head to tail axis. At key stages, it is therefore possible to isolate near-adjacent cell populations from the same embryo in distinct differentiation states. Cells in the caudal lateral epiblast adjacent to the primitive streak (also known as the stem zone, SZ, in the chick) express both early neural and mesodermal genes. Other cells in the stem zone will gastrulate to form the paraxial mesoderm or remain in the epiblast cell sheet and become neural progenitors. These latter cells form a new region called the preneural tube (PNT), which is flanked by unsegmented presomitic mesoderm and represents an early neural progenitor state that can be induced by FGF signalling to revert back to a multi-potent SZ state. Rostral to this, the closed caudal neural tube (CNT) is flanked by somites and is an early site of co-expression of genes characteristic of neural progenitors, and of ventral patterning genes (Diez del Corral et al., 2003). The CNT contains the first few neurons and exposure to FGF cannot revert this tissue to a multi-potent SZ state (Diez del Corral et al., 2002). The transition from the PNT to the CNT thus involves commitment to a neural fate that this is regulated by a switch from FGF to retinoid signalling. More advanced neuroepithelium is then located in more rostral neural tube (RNT), in which neuronal differentiation is ongoing and dorsoventral pattern is refined. This experiment uses the Affymetrix GeneChip chicken genome microarray to compare the transcriptomes of microdissections of these spatially distinct cell populations from the elongating neural axis of HH stage 10 chick embryos. Dissections were carried out in L15 medium at 4°C and explants pooled in TRIzol reagent (Gibco) for RNA extraction. Notochord was removed by controlled trypsin digestion that aimed to keep the neural ventral midline. For the microarrays, at least five tissue samples for each region were pooled to make each of three biological replicates for each (n>15 for each region).
Publication Title
Major transcriptome re-organisation and abrupt changes in signalling, cell cycle and chromatin regulation during neural differentiation in vivo
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 2886 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Consider the problem of designing a panel of complex biomarkers to predict a patient's health or disease state when one can pair his or her current test sample, called a target sample, with the patient's previously acquired healthy sample, called a reference sample. As contrasted to a population averaged reference, this reference sample is individualized. Automated predictor algorithms that compare and contrast the paired samples to each other could result in a new generation of test panels that compare to a person's healthy reference to enhance predictive accuracy. This study develops such an individualized predictor and illustrates the added value of including the healthy reference for design of predictive gene expression panels. The objective is to predict each subject's state of infection, e.g., neither exposed nor infected, exposed but not infected, pre-acute phase of infection, acute phase of infection, post-acute phase of infection. Using gene microarray data collected in a large-scale serially sampled respiratory virus challenge study, we quantify the diagnostic advantage of pairing a person's baseline reference with his or her target sample.
Publication Title
An individualized predictor of health and disease using paired reference and target samples.
Sample Metadata Fields
Specimen part, Subject, Time
View Samples