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GSE11200
Hordeum vulgare
22 Downloadable Samples
Affymetrix Barley Genome Array (barley1)
Description
Malting is seed germination under strictly controlled environmental conditions. Malting quality is a complex phenotype that combines a large number of interrelated components, each of which shows complex inheritance. Currently, only a few genes involved in determining malting quality have been characterized. This study combined transcript profiling with phenotypic correlations to identify candidate genes for malting quality.
Publication Title
Differentially expressed genes during malting and correlation with malting quality phenotypes in barley (Hordeum vulgare L.).
Sample Metadata Fields
No sample metadata fields
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- 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- 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
- 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- Homo sapiens
- 35 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
Background: Exercise has a positive effect on overall health. This study was performed to get an overview of the effects of mixed exercise training on skeletal muscl
Publication Title
Identification of human exercise-induced myokines using secretome analysis.
Sample Metadata Fields
Sex, Age, Race
View Samples- Homo sapiens
- 23 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Determining mechanism-based biomarkers that distinguish adaptive and adverse cellular processes is critical to understanding the health effects of environmental exposures. Shifting from in vivo, low-throughput toxicity studies to high-throughput screening (HTS) paradigms and risk assessment based on in vitro and in silico testing requires utilizing toxicity pathway information to distinguish adverse outcomes from recoverable adaptive events. Little work has focused on oxidative stresses in human airway for the purposes of predicting adverse responses. We hypothesize that early gene expression-mediated molecular changes could be used to delineate adaptive and adverse responses to environmentally-based perturbations. Here, we examined cellular responses of the tracheobronchial airway to zinc (Zn) exposure, a model oxidant. Airway derived BEAS-2B cells exposed to 210 M Zn2+ elicited concentration- and time-dependent cytotoxicity. Normal, adaptive, and cytotoxic Zn2+ exposure conditions were determined with traditional apical endpoints, and differences in global gene expression around the tipping point of the responses were used to delineate underlying molecular mechanisms. Bioinformatic analyses of differentially expressed genes indicate early enrichment of stress signaling pathways, including those mediated by the transcription factors p53 and NRF2. After 4 h, 154 genes were differentially expressed (p <0.01) between the adaptive and cytotoxic Zn2+ concentrations. Nearly 40% of the biomarker genes were related to the p53 signaling pathway with 30 genes identified as likely direct targets using a database of p53 ChIP-seq studies. Despite similar p53 activation profiles, these data revealed widespread dampening of p53 and NRF2-related genes as early as 4 h after exposure at higher, unrecoverable Zn2+ exposures. Thus, in our model early increased activation of stress response pathways indicated a recoverable adaptive event. Overall, this study highlights the importance of characterizing molecular mechanisms around the tipping point of adverse responses to better inform HTS paradigms.
Publication Title
Developing a Gene Biomarker at the Tipping Point of Adaptive and Adverse Responses in Human Bronchial Epithelial Cells.
Sample Metadata Fields
Cell line, Time
View Samples- Saccharomyces cerevisiae
- 16 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Natural grape-juice fermentations involve the sequential development of different yeast species which strongly influence the chemical and sensorial traits of the final product. In the present study,we aimed to examine the transcriptomic response of Saccharomyces cerevisiae to the presence of Hanseniaspora guilliermondii wine fermentation.
Publication Title
Genomic expression program of Saccharomyces cerevisiae along a mixed-culture wine fermentation with Hanseniaspora guilliermondii.
Sample Metadata Fields
Treatment, Time
View Samples