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GSE32560
Homo sapiens
8 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
Soluble VEGFR-1 (sVEGFR-1) acts both as a decoy receptor for VEGFs and as an extracellular matrix protein for 51 integrin. A sVEGFR-1-derived peptide that interacts with 51 integrin promotes angiogenesis. However, canonical signal downstream integrin activation is not induced, resulting into lack of focal adhesion maturation. We performed a gene expression profile of endothelial cells adhering on sVEGFR-1 compared to that of cells adhering on fibronectin, the principal 51 integrin ligand. Three protein kinase-C substrates, adducin, MARCKS, and radixin were differently modulated. Adducin and MARCKS were less phosphorylated whereas radixin was higher phosphorylated in sVEGFR-1 adhering cells, the latter leading to prolonged small GTPase Rac1 activation and induction of a pathway involving the heterotrimeric G protein 13. Altogether, our data indicated endothelial cell acquisition of an highly motile phenotype when adherent on sVEGFR-1. Finally, we indicated radixin as accountable for the angiogenic effect of 51 integrin interaction with sVEGFR-1 that in turn depends on an active VEGF-A/VEGFR-2 signaling.
Publication Title
Endothelial cell adhesion to soluble vascular endothelial growth factor receptor-1 triggers a cell dynamic and angiogenic phenotype.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The goal of our study was to molecularly dissect mesothelioma tumor pathways by mean of microarray technologies in order to identify new tumor biomarkers, that could be used as early diagnostic markers and possibly as specific molecular therapeutic targets. We performed Affymetrix U133A plus 2.0 microarray analysis comparing 9 human pleural mesotheliomas with 4 normal pleural specimen. Stringent statistical feature selection detected a set of differentially expressed genes that were further evaluated to identify potential biomarkers to be used in early diagnostics. Selected genes were confirmed by RT-PCR. As reported by other mesothelioma profiling studies, most of genes are involved in G2/M transition. Our list contains several genes previously described as prognostic classifier. Furthermore, we found novel genes never associated before to mesothelioma and could be involved in tumor progression. Notable, the identification of MMP-14, a member of matrix metalloproteinase family. This molecule has been described as a new disease marker and could be used as biomarker also for mesothelioma early diagnosis and prognosis and that can be viewed as new and effective therapeutic target to test.
Publication Title
Global gene expression profiling of human pleural mesotheliomas: identification of matrix metalloproteinase 14 (MMP-14) as potential tumour target.
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 25 Downloadable Samples
Illumina HiSeq 2500
Description
RNA expression in WT and jhd2? cells in various nutritional sources Overall design: Strand-specific total RNA was sequenced (Illumina stranded TruSeq, with dUTP second strand-incorporation) from wildtype and mutants cells, in biological replicates, normalized by RNA spike-in controls
Publication Title
Mitochondrial control through nutritionally regulated global histone H3 lysine-4 demethylation.
Sample Metadata Fields
Cell line, Subject
View Samples- Mus musculus
- 16 Downloadable Samples
- Illumina HiSeq 4000
Description
Gata2, a zinc finger TF, is essential for the generation and survival of HSCs in the embryo and has been implicated in the pathogenesis of AML, yet the requirement for Gata2 in adult HSCs and LSCs remains unclear. Using a conditional mouse model where Gata2 was deleted specifically in hematopoietic cells, we show that knockout of Gata2 leads to a rapid and complete cell-autonomous loss of adult HSCs. In Meis1a/Hoxa9 driven AML, deletion of Gata2 impedes maintenance and self-renewal of LSCs. We then performed RNA-seq from sorted control and Gata2 KO LSCs (CD45.2+ c-Kit+) after pIpC treatment in transplanted mice. Overall design: Wild Type and Gata2-/- Meis1a/Hoxa9 LSCs were harvested from mice 24 days after pIpC administration
Publication Title
Gata2 as a Crucial Regulator of Stem Cells in Adult Hematopoiesis and Acute Myeloid Leukemia.
Sample Metadata Fields
Cell line, Subject
View Samples- Mus musculus
- 8 Downloadable Samples
- Illumina HiSeq 4000
Description
Gata2, a zinc finger TF, is essential for the generation and survival of HSCs in the embryo and has been implicated in the pathogenesis of AML, yet the requirement for Gata2 in adult HSCs and LSCs remains unclear. Using a conditional mouse model where Gata2 was deleted specifically in hematopoietic cells, we show that knockout of Gata2 leads to a rapid and complete cell-autonomous loss of adult HSCs. We then performed RNA-seq in sorted HSCs (LSK CD48- CD150+) from control and Gata2+/fl;Vav-iCre+ 8-to-10-week old mice. Overall design: Wild Type and Gata2+/- HSCs were harvested from 8-to-10-week old mice
Publication Title
Gata2 as a Crucial Regulator of Stem Cells in Adult Hematopoiesis and Acute Myeloid Leukemia.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Microarray gene expression analysis conducted from cell lines in each of three cohorts: (1) Resistant ES cell lines, (2) Sensitive parental ES cell lines treated with YK-4-279 for 72 hours, and (3) untreated sensitive parental ES cell lines (Three replicates from TC32 & TC71 original parental cell lines)
Publication Title
An Oral Formulation of YK-4-279: Preclinical Efficacy and Acquired Resistance Patterns in Ewing Sarcoma.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 46 Downloadable Samples
- Illumina HiSeq 2000
Description
Hundreds of immune cell types work in coordination to maintain tissue homeostasis. Upon infection, dramatic changes occur with the localization, migration and proliferation of the immune cells to first alert the body of the danger, confine it to limit spreading, and finally extinguish the threat and bring the tissue back to homeostasis. Since current technologies can follow the dynamics of only a limited number of cell types, we have yet to grasp the full complexity of global in vivo cell dynamics in normal developmental processes and disease. Here we devise a computational method, digital cell quantification (DCQ), which combines genomewide gene expression data with an immune cell compendium to infer in vivo dynamical changes in the quantities of 213 immune cell subpopulations. DCQ was applied to study global immune cell dynamics in mice lungs at ten time points during a 7-day time course of flu infection. We find dramatic changes in quantities of 70 immune cell types, including various innate, adaptive and progenitor immune cells. We focus on the previously unreported dynamics of four immune dendritic cell subtypes, and suggest a specific role for CD103+CD11b- cDCs in early stages of disease and CD8+ pDC in late stages of flu infection. Overall design: To study pathogenesis of Influenza infection, C57BL/6 mice (5 weeks) were infected intranasally with 4x103 PFU of influenza PR8 virus. We measured using RNA-Seq global gene expression in lung tissue at ten time points during a 7-day time course of infection, two infected individuals in each time point and four un-infected individuals as control. The lung organ was removed and transferred immediately into RNA Latter solution (Invitrogen).
Publication Title
Digital cell quantification identifies global immune cell dynamics during influenza infection.
Sample Metadata Fields
Age, Specimen part, Cell line, Subject, Time
View Samples- Mus musculus
- 28 Downloadable Samples
- Illumina HiSeq 2000
Description
Hundreds of immune cell types work in coordination to maintain tissue homeostasis. Upon infection, dramatic changes occur with the localization, migration and proliferation of the immune cells to first alert the body of the danger, confine it to limit spreading, and finally extinguish the threat and bring the tissue back to homeostasis. Since current technologies can follow the dynamics of only a limited number of cell types, we have yet to grasp the full complexity of global in vivo cell dynamics in normal developmental processes and disease. Here we devise a computational method, digital cell quantification (DCQ), which combines genomewide gene expression data with an immune cell compendium to infer in vivo dynamical changes in the quantities of 213 immune cell subpopulations. DCQ was applied to study global immune cell dynamics in mice lungs at ten time points during a 7-day time course of flu infection. We find dramatic changes in quantities of 70 immune cell types, including various innate, adaptive and progenitor immune cells. We focus on the previously unreported dynamics of four immune dendritic cell subtypes, and suggest a specific role for CD103+CD11b- cDCs in early stages of disease and CD8+ pDC in late stages of flu infection. Overall design: To better understand the physiological role of these differential dynamic changes in the DCs, we measured the genome-wide RNA expression of all four DC subpopulations from lung of influenza infected mice at four time points following infections (two mice per time-point). For sorting dendritic cells from lungs, the lungs from infected and control uninfected C57BL/6J mice were immersed in cold PBS, cut into small pieces in 5 ml DMEM media containing 10% Bovine Fetal Serum, the cell suspensions were grinded using 1ml syringe cup on a 70 µm cell strainers (BD Falcon). The cells were washed with ice cold PBS. Remaining red blood cells were lysed using ammonium chloride solution (Sigma). Cells were harvested, immersed 1ml FACS buffer [PBS+2% FBS, 1mM EDTA], Fc receptors were blocked with anti-mouse CD16/CD32, washed with FACS buffer and divided into two tubes for sorting cDC and pDC cells.
Publication Title
Digital cell quantification identifies global immune cell dynamics during influenza infection.
Sample Metadata Fields
Age, Specimen part, Cell line, Subject, Time
View Samples- Homo sapiens
- 51 Downloadable Samples
- Illumina HiSeq 4000, NextSeq 500
Description
We describe the viral gene expression cascade at the single-cell level, showing bifurcations and bottleneck states. Host gene expression changes are related to viral transcription. The role of cellular signaling pathways in infection is studied using trajectory analysis and the importance of the Nrf2 transcription factor studied in follow-up experiments. Overall design: Human primary fibroblasts were infected with HSV-1 and single-cell RNA-sequencing was performed at different early time points after infection.
Publication Title
Single-cell RNA-sequencing of herpes simplex virus 1-infected cells connects NRF2 activation to an antiviral program.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 30 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Using gene expression profiling we characterize the global effect of p53 on the TLR5-mediated transcription in MCF7 cells. We found that combined activation of p53 and TLR5 pathways synergistically increases expression of over 200 genes, mostly associated with immunity and inflammation. The synergy was observed in several human cancer cells and primary lymphocytes.
Publication Title
p53 amplifies Toll-like receptor 5 response in human primary and cancer cells through interaction with multiple signal transduction pathways.
Sample Metadata Fields
Cell line
View Samples