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GSE100336
Homo sapiens
10 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We constructed a primary lung cell model to permit regulated expression of KRASG12D. To do this, we leveraged a non-transformed, immortalized, human primary bronchial epithelial cell line (HBEC; hTert, CDK4, TP53 knockdown) that remains anchorage dependent and do not develop tumors when implanted into mice. We next modified these cells by stably integrating a regulatable KRASG12D allele, iKRASG12D, such that physiological expression of mutant KRAS is activated upon addition of doxycycline. The HBEC-iKRAS (WT) cell line and HBEC-iKRASG12D (MUT) cell line were propagated with or without Doxycycline (500ng/ml) respectively. RNA profiling of HBEC-iKRASG12D and HBEC-iKRASWT cells revealed widespread changes for HBECs harboring the activated KRAS allele in the presence of Dox. Within the KRASG12D-induced genes, the Molecular Signatures Database identified the oncogenic RAS signature as a top-enriched gene set. Upregulation of Ras signaling in Dox-treated HBEC-iKRASG12D cells was also supported by a significant overlap with a KRAS signature previously characterized by Singh et al.
Publication Title
In vivo screening identifies GATAD2B as a metastasis driver in KRAS-driven lung cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus, Homo sapiens
- 67 Downloadable Samples
Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Integrative genomic signatures of hepatocellular carcinoma derived from nonalcoholic Fatty liver disease.
Sample Metadata Fields
Age, Specimen part, Disease
View Samples- Mus musculus
- 35 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Liver global gene expression patterns of 9 GNMT-knockout mice histopathologically determined to have non-alcoholic steatohepatitis (NASH) and hepatocellular carcinoma (HCC) together with 10 MAT1A-knockout mice histopathologically determined to have steatosis and NASH. All these have their respective wild type patterns. These were analyzed to define signatures to study the pathogenesis of NAFLD-derived HCC, explore which subtypes of cancers can be investigated using mouse models and define a signature of HCC differential survival that can be used to characterize HCC subtypes of different survival derived from mixed etiologies.
Publication Title
Integrative genomic signatures of hepatocellular carcinoma derived from nonalcoholic Fatty liver disease.
Sample Metadata Fields
Age, Specimen part, Disease
View Samples- Homo sapiens
- 17 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Global gene expression patterns of 2 human steatosis and 9 human non-alcoholic steatohepatitis (NASH) together with their respective control patterns were analyzed to define the non-alcoholic fatty liver disease (NAFLD) progression molecular characteristics and to define NASH early markers from steatosis.
Publication Title
Integrative genomic signatures of hepatocellular carcinoma derived from nonalcoholic Fatty liver disease.
Sample Metadata Fields
Specimen part, Disease
View Samples- Mus musculus
- 15 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Liver global gene expression patterns of 15-month-old MAT1A knockout mice histopathologically determined to have hepatocellular carcinoma (HCC). 5 samples are of tumoral tissue and 5 samples are of peritumoral tissue. All these have their respective wild type patterns. These were analyzed to define signatures to study the pathogenesis of NAFLD-derived HCC, explore which subtypes of cancers can be investigated using mouse models and define a signature of HCC differential survival that can be used to characterize HCC subtypes of different survival derived from mixed etiologies.
Publication Title
Integrative genomic signatures of hepatocellular carcinoma derived from nonalcoholic Fatty liver disease.
Sample Metadata Fields
Age, Specimen part, Disease
View Samples- Homo sapiens
- 22 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Analysis of the transcriptome of mononuclear side population (SP) and main population (MP) cells of human fetal skeletal muscle from 12 human subjects of gestational age 14-18 weeks.
Publication Title
Regulation of myogenic progenitor proliferation in human fetal skeletal muscle by BMP4 and its antagonist Gremlin.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Functional analysis of ABCB5 in A375 and G3361 melanoma cells, by comparing stably-transfected controls to ABCB5-shRNA-targeted cells.
Publication Title
ABCB5 maintains melanoma-initiating cells through a proinflammatory cytokine signaling circuit.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
To find BMAL1-regulated genes in mice pituitary gland we performed a differential microarray from wild-type vs Bmal1-/- knock-out mice
Publication Title
Chromatin remodeling as a mechanism for circadian prolactin transcription: rhythmic NONO and SFPQ recruitment to HLTF.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 130 Downloadable Samples
Illumina HiSeq 2000, Illumina HiSeq 3000
Description
Glucocorticoids remain the most widely used class of anti-inflammatory and immunosuppressive agents. They act primarily by binding to the glucocorticoid receptor, resulting in direct and indirect effects on gene expression. The current understanding of glucocorticoid effects on transcription in human cells is based mostly on studies of cancer cell lines, immortalized cell lines, or highly mixed populations of primary cells (such as peripheral blood mononuclear cells). To advance the understanding of the transcriptome-wide effects of glucocorticoids on highly pure populations of primary human cells, we performed RNA-seq on nine such cell populations at two time points after in vitro exposure to methylprednisolone or vehicle. Overall design: Nine cell types were studied: four hematopoietic (circulating B cells, CD4+ T cells, monocytes, and neutrophils) and five non-hematopoietic (endothelial cells, fibroblasts, myoblasts, osteoblasts, and preadipocytes). Each cell type was obtained from a separate cohort of 4 unrelated healthy human donors (4 biological replicates per cell type: BR1 - BR4). Cells form each donor were independently cultured and exposed in vitro to glucocorticoid or vehicle. Non-hematopoietic cells were incubated until the early plateau phase of growth, then exposed to methylprednisolone or vehicle. Hematopoietic cells were collected from peripheral blood, purified by magnetic selection (negative selection for B cells, CD4+ T cells and neutrophils; positive selection for monocytes). Purified B cells, CD4+ T cells, and monocytes were incubated overnight, then exposed to methylprednisolone or vehicle. Purified neutrophils were cultured for 4 hours, then exposed to methylprednisolone or vehicle. Ethanol was used as a vehicle for methylprednisolone. Estimated final concentrations were 8500 mcg/L (22.7 mcM) for methylprednisolone and 0.07% (15.57 mM) for ethanol (vehicle). For each cell type, samples were collected at two time points after treatment with methylprednisolone or vehicle: 2 hours and 6 hours. Samples were collected into TRIzol reagent and frozen at -80°C prior to RNA extraction. RNA-seq data for all samples is made available in this GEO Series.
Publication Title
Immune regulation by glucocorticoids can be linked to cell type-dependent transcriptional responses.
Sample Metadata Fields
Specimen part, Subject, Time
View Samples- Homo sapiens
- 10 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Melanoma growth is driven by malignant melanoma initiating cells (MMIC) identified by expression of the ATP-binding cassette (ABC) member, ABCB5. ABCB5+ melanoma subpopulations have been shown to overexpress the vasculogenic differentiation markers CD144 (VE-cadherin) and TIE-1 and are associated with CD31-negative vasculogenic mimicry (VM), an established biomarker associated with increased patient mortality. Here we identify a critical role for VEGFR-1 signaling in ABCB5+ MMIC-dependent VM and tumor growth. Global gene expression analyses, validated by mRNA and protein determinations, revealed preferential expression of VEGFR-1 on ABCB5+ tumor cells purified from clinical melanomas and established melanoma lines. In vitro, VEGF induced in a VEGFR-1-dependent manner expression of CD144 in ABCB5+ subpopulations that constitutively expressed VEGFR-1, but not in ABCB5- bulk populations that were predominantly VEGFR-1-negative. In vivo, melanomaspecific shRNA-mediated knockdown of VEGFR-1 blocked the development of ABCB5+ VM morphology and inhibited ABCB5+ VM-associated production of the secreted melanoma mitogen, laminin. Moreover, melanoma-specific VEGFR-1 knockdown markedly inhibited tumor growth (by >90%). Our results demonstrate that VEGFR-1 function in MMIC regulates VM and associated laminin production, and show that this function represents one mechanism through which MMIC promote tumor growth.
Publication Title
VEGFR-1 expressed by malignant melanoma-initiating cells is required for tumor growth.
Sample Metadata Fields
Specimen part
View Samples