Genome-wide analysis of Embryonic Stem Cell Differentiation
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Nesanet Mitiku
PROVIDER: E-GEOD-9047 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Array CGH analysis of Helicobacter pylori strains isolated from a North American cohort of symptomatic pediatric patients. Keywords: genotyping_design A genotyping experiment design type classifies an individual or group of individuals on the basis of alleles, haplotypes, SNP's. Patients enrolled under Benjamin Gold's Emory IRB protocol. Initial strain isolation from antral biopsies performed at Emory and culture sweeps sent to FHCRC (Seattle) for analysis. Single colony isolates (4) from each patient antral biopsy were isolated and profiled using RAPD. A single clone of each RAPD type detected in each patient (1-2) were analyzed on duplicate arrays. For analysis 500 ng of genomic DNA of each test strain was labeled with Cy5 and 500 ng of genomic DNA of a reference sample (equimolar mix of 26695 and J99) was labeled with Cy3. Strains identified as Em-patient#-clone#.
2009-11-04 | E-GEOD-13317 | biostudies-arrayexpress
Project description:Description: The pluripotency of an embryonic stem cell makes it an attractive target for differentiation strategies aimed at producing tissues for therapeutic purposes. Yet, even though we know that ES cells have tremendous capacity for differentiation, we do not fully understand the molecular paths taken by these cells as they differentiate. In addition, it is unclear how important the removal of leukemia inhibitory factor is to ES cell differentiation. Moreover, it is unclear how the path of ES cell differentiation relates to the molecular decisions made by tissues undergoing normal development. The motivation behind this work is to increase our understanding of this relationship and its potential limitations. Dataset is a murine embryonic stem cell differentiation timecourse consisting of 14 timepoints spanning 17 days of differentiation. Samples were harvested at 24 hour intervals on days 0,1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, and 17. There two replicates of each sample in this series. Additionally, there are 14 identically stated differentiation samples, where growth was conducted in ES cell media containing LIF. A common reference design was employed. Groups of assays that are related as part of a time series. Compound Based Treatment: Treatment or lack of treatment with LIF Elapsed Time: Samples were harvested at 24 hour intervals on days 0,1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, and 17 Keywords: time_series_design Using regression correlation
2010-09-09 | E-GEOD-9048 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE11079: mRNAs associated with Ago2: Ago2, Ago2+miR-1, Ago2+miR-124, mock transfected GSE11080: Expression data HEK293T cells transfected with either Ago2, Ago2 + miR-1, Ago2 + miR-124, mock GSE11081: miRNA arrays: Ago2 transfected vs. Mock, Ago2 IP vs. total RNA Keywords: SuperSeries Refer to individual Series
2008-04-07 | E-GEOD-11082 | biostudies-arrayexpress
Project description:Core binding factor (CBF) leukemias, characterized by either inv(16)/t(16;16) or t(8;21), constitute acute myeloid leukemia (AML) subgroups with favorable prognosis. However, there exists substantial biological and clinical heterogeneity within these cytogenetic groups, which is not fully reflected by the current classification system. To improve the molecular characterization we profiled gene expression in a large series (n=93) of AML patients with CBF leukemia [inv(16) n=55, t(8;21) n=38]. By unsupervised hierarchical clustering we were able to define a subgroup of CBF cases (n=35) characterized by shorter overall survival times (P=0.03). While there was no obvious correlation with fusion gene transcript levels, FLT3 tyrosine kinase domain, KIT, and NRAS mutations, the newly defined inv(16)/t(8;21)-subgroup was associated with elevated white blood cell counts and FLT3 internal tandem duplications (P=0.011 and P=0.026, respectively). Supervised analyses of gene expression suggested alternative cooperating pathways leading to transformation. In the ?favorable? CBF leukemias anti-apoptotic mechanisms and deregulated mTOR-signaling, and in the newly defined ?unfavorable? subgroup aberrant MAPKinase-signaling and chemotherapy-resistance mechanisms might play a role. While the leukemogenic relevance of these signatures remains to be validated, their existence nevertheless supports a prognostically relevant biological basis for the heterogeneity observed in CBF leukemia. A reference experiement design type is where all samples are compared to a common reference. Using regression correlation
2007-08-09 | E-GEOD-8653 | biostudies-arrayexpress
Project description:The dataset comprises array CGH data of 64 prostate cancer specimens performed on Stanford cDNA microarrays, to accompany the study of J Lapointe et al (2007). For each array, Channel 2 represents Cy5-labeled prostate genomic DNA, and Channel 1 Cy3-labeled normal male genomic DNA. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Using regression correlation
2007-10-02 | E-GEOD-6469 | biostudies-arrayexpress
Project description:Abstract: Background Interferons are key modulators of the immune system, and are central to the control of many diseases. The response of immune cells to stimuli in complex populations is the product of direct and indirect effects, homotypic and heterotypic cell interactions. Dissecting the global transcriptional profiles of immune cell populations may provide insights into this regulatory interplay. The host transcriptional response may also be useful in discriminating between disease states, and in understanding pathophysiology. The transcriptional programs of cell populations in health therefore provide a paradigm for deconvoluting disease-associated gene expression profiles. Results: We used human cDNA microarrays to (1) compare the gene expression programs in human peripheral blood mononuclear cells (PBMCs) elicited by 6 major mediators of the immune response: interferons a, b, w and g, IL12 and TNFa; and (2) characterise the transcriptional responses of purified immune cell populations (CD4+ and CD8+ T cells, B cells, NK cells and monocytes) to IFNg stimulation. We defined a highly stereotyped response to type I interferons, while responses to IFNg and IL12 were largely restricted to a subset of type I interferon-inducible genes. TNFa stimulation resulted in a distinct pattern of gene expression. Cell type-specific transcriptional programs were identified, highlighting the pronounced response of monocytes to IFNg, and emergent properties associated with IFN-mediated activation of mixed cell populations. Conclusions: This information provides a detailed view of cellular activation by immune mediators, and contributes an interpretive framework for the detection and definition of host immune responses in a variety of disease settings. This SuperSeries is composed of the following subset Series: GSE16251: PBMC Cytokine Comparison GSE16252: PBMC IFNg Dose Reponse GSE16253: PBMC Cell Subset Stimulation Refer to individual Series
2010-03-21 | E-GEOD-17762 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE7260: epithelial-mesenchymal interaction of the breast GSE7263: Effect of heterotypic interaction between breast cancer cell line MDA-MB231 and CCL-171 fibroblast Refer to individual Series
2007-11-13 | E-GEOD-7264 | biostudies-arrayexpress
Project description:These 95 arrays are the basis for Figure 2 of our manuscript "An interferon-response induced by tumor-stroma interaction in a subset of human breast cancers". Abstract:Background Communication between different cell types is a cardinal feature of multi-cellular organisms and perturbations in these cell-cell interactions are a key feature of cancer. However, little is known about the systematic effects of cell-cell interaction on global gene expression in cancer. Methods and Findings We used an ex vivo culture model to simulate tumor-stroma interaction by systematically co-cultivating breast cancer cells with stromal fibroblasts and determined associated gene expression changes with cDNA microarrays. The picture of heterotypic interaction effects that emerged from this analysis is complex, reflecting the variation in signaling capacities and responsiveness of the involved cells. A frequent and prominent response to epithelial-mesenchymal interaction was an induction of interferon-response genes, observed in 4 of the 7 breast cancer cell lines in response to co-culture with fibroblasts, but not in normal mammary epithelial cells. In response to close contact with these breast cancer cells, the fibroblasts secreted type I interferons, which, in turn, induced expression of the IRGs in the tumor cells. Immunohistochemical analysis of human breast cancer tissues showed that STAT1, the key transcriptional activator of the interferon-response genes, and itself an IRG, was expressed in a subset of the cancers, with a striking pattern of elevated expression in the cancer cells in contact with, or close proximity to, the tumor stroma ? paralleling the response seen in our ex vivo model. In vivo, expression of the interferon-response genes was remarkably coherent, providing a basis for segregation of the 295 early-stage breast cancers into two groups. Tumors with high expression levels (n=161) of IRG were associated with significantly shorter overall survival; 59 % at 10 years versus 80% for tumors with low interferon-response gene expression levels (n=134) (log-rank p=0.001). Conclusion Our results suggest that an interaction between some breast cancer cells and stromal fibroblasts can induce an interferon response, and that this response may be associated with a greater propensity for tumor progression. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Computed
2007-11-13 | E-GEOD-7260 | biostudies-arrayexpress
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2007-08-08 | E-GEOD-7618 | biostudies-arrayexpress
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2010-01-03 | E-GEOD-7000 | biostudies-arrayexpress