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Mus musculus
92 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
E2f8 mediates tumor suppression in postnatal liver development.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 59 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
E2Fs are regulators of the cell cycle and are involved in development. In this study we examine transcriptional changes occurring the liver in E2f1 (1KI) and E2f3b (3bKI) knock in mice. These mice have E2f1 or E2f3b knocked into the E2F3a locus resulting in loss of E2f3a and expression of E2f1 or E2f3b from the E2f3a locus as originally described In Tsai et. al., Nature 2008.
Publication Title
E2f8 mediates tumor suppression in postnatal liver development.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 33 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
E2Fs are regulators of the cell cycle and are involved in development and hepatocellular carcinoma. In this study we examine transcriptional changes occurring the liver in E2f1 (1KI) and E2f3b (3bKI) knock in mice. These mice have E2f1 or E2f3b knocked into the E2F3a locus resulting in loss of E2f3a and expression of E2f1 or E2f3b from the E2f3a locus as originally described In Tsai et. al., Nature 2008.
Publication Title
E2f8 mediates tumor suppression in postnatal liver development.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 32 Downloadable Samples
NextSeq 500
Description
Breast tumors are characterized by inherent heterogeneity but the evolving cellular organization of breast tumors through progression remains poorly understood. Individual clones were tracked by combining mouse models of breast cancer with Confetti reporter strains. Expression profiling of individual clones sorted from tumors arising in K5- and Elf5-driven Pten/p53-deficient mice revealed distinct molecular signatures. Overall design: K5-rtTA-IRES-GFP and ElF5-rtTA-IRES-GFP transgenic mice were crossed with TetO-cre (JAX) and R26R-Confetti reporter strains to generate triple genetically modified mice. The mice were treated with medroxyprogesterone acetate (MPA) and dimethylbenz(a)anthracene (DMBA) to induce carcinogenesis. Three K5-driven and five Elf5-driven mammary tumors were selected. Individual live cells from each tumor were FACS sorted by the four Confetti fluorescent markers (to select individual clones) and by CD24 expression (high or low). Cell subsets for the eight tumors, four fluorescent markers and positive or negative CD24 status were profiled by RNA-seq (38 samples in all). Expression was quantified by counting RNA-seq reads at the gene level and (separately) at the exon level.
Publication Title
Intraclonal Plasticity in Mammary Tumors Revealed through Large-Scale Single-Cell Resolution 3D Imaging.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The recent interest in the role of bone marrow derived endothelial progenitor cells in the benefits of estrogen on cardiovascular health brought us to evaluate if estrogen could affect cardiac repair more broadly by regulating biological processes involved in the functional organization of the bone marrow stem cell niche.
Publication Title
Estrogen-induced gene expression in bone marrow c-kit+ stem cells and stromal cells: identification of specific biological processes involved in the functional organization of the stem cell niche.
Sample Metadata Fields
Sex, Age
View Samples- Mus musculus
- 2 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Canonical Wnt signaling controls proliferation and differentiation of osteogenic progenitor cells, and tumor-derived secretion of the Wnt antagonist Dickkopf-1 (Dkk1) is correlated with osteolyses and metastasis in many bone malignancies. However, the role of Dkk1 in the oncogenesis of primary osteosarcoma (OS) remains unexplored. Here, we over-expressed Dkk1 in the OS cell line MOS-J. Contrary to expectations, Dkk1 had autocrine effects on MOSJ cells in that it increased proliferation and resistance to metabolic stress in vitro. In vivo, Dkk1 expressing MOS-J cells formed larger and more destructive tumors than controls. These effects were attributed in part to up-regulation of the stress response enzyme and cancer stem cell marker aldehyde-dehydrogenase-1 (ALDH1) through Jun-N-terminal kinase signaling. This is the first report linking Dkk1 to tumor stress resistance, further supporting the targeting of Dkk1 not only to prevent and treat osteolytic bone lesions but also to reduce numbers of stress-resistant tumor cells.
Publication Title
An unexpected role for a Wnt-inhibitor: Dickkopf-1 triggers a novel cancer survival mechanism through modulation of aldehyde-dehydrogenase-1 activity.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 28 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Identification of the CIMP-like subtype and aberrant methylation of members of the chromosomal segregation and spindle assembly pathways in esophageal adenocarcinoma.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 28 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip
Description
genome-wide methylation profile of 250 samples including 125 EAC, 19 Barretts, 64 normal adjacent squamous and 21 normal stomach. Transcriptome data was performed for 70 samples with methylation profile (48 EAC, 4 Barretts and 18 normal adjacent squamous). This is the first study to use methylome, transcriptome and ENCODE data to characterize the regulatory role of methylation in EAC.
Publication Title
Identification of the CIMP-like subtype and aberrant methylation of members of the chromosomal segregation and spindle assembly pathways in esophageal adenocarcinoma.
Sample Metadata Fields
Specimen part
View Samples
GSE4412- Homo sapiens
- 169 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Diffuse infiltrating gliomas are the most common primary brain malignancy found in adults, and Glioblastoma multiforme, the highest grade glioma, is associated with a median survival of 7 months. Transcriptional profiling has been applied to 85 gliomas from 74 patients to elucidate glioma biology, prognosticate survival, and define tumor sub-classes. These studies reveal that transcriptional profiling of gliomas is more accurate at predicting survival than traditional pathologic grading, and that gliomas characteristically express coordinately regulated genes of one of four molecular signatures: neurogenesis, synaptic transmission, mitotic, or extra-cellular matrix. Elucidation of these survival associated molecular signatures will aid in tumor prognostication and define targets for future directed therapy.
Publication Title
Gene expression profiling of gliomas strongly predicts survival.
Sample Metadata Fields
Sex, Age, Specimen part, Disease stage
View Samples- Homo sapiens
- 167 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Migrated from 1.6 id: 1015897590491013 GEDP id: 760 In current clinical practice, histology-based grading of diffuse infiltrative gliomas is the best predictor of patient survival time. Yet histology provides little insight into the underlying biology of gliomas and is limited in its ability to identify and guide new molecularly targeted therapies. We have performed large-scale gene expression analysis using the Affymetrix HG U133 oligonucleotide arrays on 85 diffuse infiltrating gliomas of all histologic types to assess whether a gene expression-based, histology-independent classifier is predictive of survival and to determine whether gene expression signatures provide insight into the biology of gliomas. We found that gene expression-based grouping of tumors is a more powerful survival predictor than histologic grade or age. The poor prognosis samples could be grouped into three different poor prognosis groups, each with distinct molecular signatures. We further describe a list of 44 genes whose expression patterns reliably classify gliomas into previously unrecognized biological and prognostic groups: these genes are outstanding candidates for use in histology-independent classification of high-grade gliomas. The ability of the large scale and 44 gene set expression signatures to group tumors into strong survival groups was validated with an additional external and independent data set from another institution composed of 50 additional gliomas. This demonstrates that large-scale gene expression analysis and subset analysis of gliomas reveals unrecognized heterogeneity of tumors and is efficient at selecting prognosis-related gene expression differences which are able to be applied across institutions.
Publication Title
Gene expression profiling of gliomas strongly predicts survival.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples