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Saccharomyces cerevisiae
6 Downloadable Samples
Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
The canonical role of eEF1A is to deliver the aminoacyl tRNA to the ribosome, we have used the yeast model system to investigate further roles for this protein.
Publication Title
Inappropriate expression of the translation elongation factor 1A disrupts genome stability and metabolism.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Microarray expression analysis of mouse ESCs treated with the MYCi 10058-F4.
Publication Title
Myc Depletion Induces a Pluripotent Dormant State Mimicking Diapause.
Sample Metadata Fields
Specimen part
View Samples- Rattus norvegicus
- 50 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
In contrast to the considerable in vitro and in vivo data demonstrating a decrease in cytochrome P450 (CYP) activity in inflammation and infection, clinically, traumatic brain injury (TBI) results in an increase in CYP and UDP glucuronosyltransferases (UGT) activity. The objective of this study was to determine the effects of TBI alone and along with treatment with either erythropoietin (EPO) or anakinra on gene expression of hepatic inflammatory proteins and drug metabolizing enzymes and transporters in a cortical contusion impact (CCI) injury animal model. Microarray-based transcriptional profiling was used to determine the effect on gene expression at 24 h, 72 h and 7 days post-CCI.
Publication Title
Effect of Traumatic Brain Injury, Erythropoietin, and Anakinra on Hepatic Metabolizing Enzymes and Transporters in an Experimental Rat Model.
Sample Metadata Fields
Sex, Specimen part, Treatment, Time
View Samples- Homo sapiens
- 20 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
To gain more insight into initiation and regulation of T cell receptor (TCR) gene rearrangement during human T cell development, we analyzed TCR gene rearrangements by quantitative PCR analysis in nine consecutive T-cell developmental stages, including CD34+ lin- cord blood cells as a reference. The same stages were used for gene expression profiling using DNA microarrays.
Publication Title
New insights on human T cell development by quantitative T cell receptor gene rearrangement studies and gene expression profiling.
Sample Metadata Fields
Specimen part
View Samples
GSE22601- Homo sapiens
- 19 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38CD1a stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages.
Publication Title
New insights on human T cell development by quantitative T cell receptor gene rearrangement studies and gene expression profiling.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 48 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background In childhood acute lymphoblastic leukemia (ALL), central nervous system (CNS) involvement is rare at diagnosis (1-4%), but more frequent at relapse (~30%). Minimal residual disease diagnostics predict most bone marrow (BM) relapses, but likely cannot predict isolated CNS relapses. Consequently, CNS relapses may become relatively more important. Because of the significant late sequelae of CNS treatment, early identification of patients at risk of CNS relapse is crucial. Methods Gene expression profiles of ALL cells from cerebrospinal fluid (CSF) and ALL cells from BM were compared and differences were confirmed by real-time quantitative PCR. For a selected set of overexpressed genes, protein expression levels of ALL cells in CSF at relapse and of ALL cells in diagnostic BM samples were evaluated by 8-color flow cytometry. Results CSF-derived ALL cells showed a clearly different gene expression profile than BM-derived ALL cells, with differentially-expressed genes (including SCD and OPN) involved in survival and apoptosis pathways and linked to the JAK-STAT pathway. Flowcytometric analysis showed that a subpopulation of ALL cells (>1%) with a CNS signature (SCD positivity and increased OPN expression) was already present in BM at diagnosis in ALL patients who later developed a CNS relapse, but was <1% or absent in virtually all other patients. Conclusions The presence of a subpopulation of ALL cells with a CNS signature at diagnosis may predict isolated CNS relapse. Such information can be used to design new diagnostic and treatment strategies that aim at prevention of CNS relapse with reduced toxicity.
Publication Title
New cellular markers at diagnosis are associated with isolated central nervous system relapse in paediatric B-cell precursor acute lymphoblastic leukaemia.
Sample Metadata Fields
Sex, Age, Time
View Samples- Homo sapiens
- 18 Downloadable Samples
Illumina HiSeq 2500
Description
The spatial organization of chromosomes influences many nuclear processes including gene expression. The cohesin complex shapes the 3D genome by looping together CTCF sites along chromosomes. We show here that chromatin loop size can be increased, and that the duration with which cohesin embraces DNA determines the degree to which loops are enlarged. Cohesin's DNA release factor WAPL restricts the degree of this loop extension and also prevents looping between incorrectly oriented CTCF sites. We reveal that the SCC2/SCC4 complex promotes the extension of chromatin loops and the formation of topologically associated domains (TADs). Our data support the model that cohesin structures chromosomes through the processive enlargement of loops and that TADs reflect polyclonal collections of loops in the making. Finally, we find that whereas cohesin promotes chromosomal looping, it rather limits nuclear compartmentalization. We conclude that the balanced activity of SCC2/SCC4 and WAPL enables cohesin to correctly structure chromosomes. Overall design: RNAseq was performed in control, ?WAPL 3.3, ?WAPL 1.14, ?SCC4 and ?WAPL/?SCC4 cells in triplicate.
Publication Title
The Cohesin Release Factor WAPL Restricts Chromatin Loop Extension.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 20 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
We derived gene set signature for GSEA investigation study from primary cell culture derived from healthy patients. Cells were exposed or not to cytokine for 24H before RNA collection and microarray analysis
Publication Title
Selective inhibition of TGF-β1 produced by GARP-expressing Tregs overcomes resistance to PD-1/PD-L1 blockade in cancer.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 53 Downloadable Samples
- IlluminaHiSeq2000
Description
The intention was to detect genes that are determining trastuzumab efficiency in HER2-positive breast cancer cell lines with different resistance phenotypes. While BT474 should be sensitive to the drug treatment, HCC1954 is expected to be resistant due to a PI3K mutation. The cell line BTR50 has been derived from BT474 and was cultured to be resistant as well. Based on RNA-Seq data, we performed differential expression analyses on these breast cancer cell lines with and without trastuzumab treatment. In detail, five separate tests were performed, namely resistant cells vs. wild type, i.e. HCC1954 and BTR50 vs. BT474, respectively, and untreated vs. drug treated cells. The significant genes of the first two tests should contribute to resistance. The significant genes of the test BT474 vs. its drug treated version should contribute to the trastuzumab effect. To exclude false positives from the combined gene set (#64), we removed ten genes that were also significant in the test BTR50 vs. its drug treated version. This way we ended up with 54 genes that are very likely to determine trastuzumab efficiency in HER2-positive breast cancer cell lines. Overall design: mRNA profiles of human breast cancer cell lines were generated by deep sequencing using Illumina HiSeq 2000. The cell lines BT474 and HCC1954 were analyzed with and without trastuzumab treatment. HCC1954 is known to be trastuzumab resistant. Additionally, the cell line BTR50 was generated as resistant version of BT474, and was analyzed with and without trastuzumab as well.
Publication Title
mRNA profiling reveals determinants of trastuzumab efficiency in HER2-positive breast cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Immune interferon beta and gamma are essential for mammalian host defence against intracellular pathogens.
Publication Title
GBPs Inhibit Motility of Shigella flexneri but Are Targeted for Degradation by the Bacterial Ubiquitin Ligase IpaH9.8.
Sample Metadata Fields
Cell line
View Samples