We sought to determine the genes regulated by the Drosophila Hox protein AbdA in a homogenous cell system. S2-DRSC cells that have no Hox expression were stably transfected with HA-tagged AbdA under the control of a metallothionein promoter. Overall design: S2-DRSC cells are stably transfected with HA-tagged AbdA (S2-DRSC:AbdA). S2 and S2-AbdA cells are analysed for gene expression in the absence (S2-DRSC) and presence (S2-DRSC-HA::AbdA) of AbdA
Human ZKSCAN3 and Drosophila M1BP are functionally homologous transcription factors in autophagy regulation.
Cell line, Treatment, Subject
View SamplesABSTRACT
Increased expression of bcl11b leads to chemoresistance accompanied by G1 accumulation.
No sample metadata fields
View SamplesBased on the results of numerous clinical and preclinical analyses, the transcription factor HIF-1a has been identified as an important tumor-promoting factor and is considered to be an attractive target for cancer therapy. To further deconstruct the molecular nature of HIF-1as role in tumorigenesis, we have applied lentiviral shRNA transduction to establish HIF-1a-deficient gastric cancer cells. Interestingly, functional analyses failed to show a significant growth defect of HIF-1a-deficient gastric cancer cells in vitro and in vivo. These observations led us to propose that stable inactivation of HIF-1a resulted in efficient compensation enabling cell growth and, ultimately, tumor progression in a HIF-1a-independent manner. To better understand the mechanisms that control this compensation, we performed transcriptomics of control (scrambled (SCR)) and HIF-1a-deficient (HIF) gastric cancer cells.
Annexin A1 sustains tumor metabolism and cellular proliferation upon stable loss of HIF1A.
Specimen part, Cell line
View SamplesThis SuperSeries is composed of the SCANB SubSeries listed below.
The Sweden Cancerome Analysis Network - Breast (SCAN-B) Initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine.
Specimen part
View SamplesBreast cancer exhibits significant molecular, pathological, and clinical heterogeneity. Current clinicopathological evaluation is imperfect for predicting outcome, which results in overtreatment for many patients, and for others, leads to death from recurrent disease. Therefore, additional criteria are needed to better personalize care and maximize treatment effectiveness and survival. To address these challenges, the Sweden Cancerome Analysis Network - Breast (SCAN-B) consortium was initiated in 2010 as a multicenter prospective study with longsighted aims to 1) analyze breast cancers with next-generation genomic technologies for translational research in a population-based manner and integrated with healthcare; 2) decipher fundamental tumor biology from these analyses; 3) utilize genomic data to develop and validate new clinically-actionable biomarker assays; and 4) build the infrastructure for real-time clinical implementation of molecular diagnostic, prognostic, and predictive tests. In the first phase, we focus on molecular profiling by next-generation RNA-sequencing on the Illumina platform. In the three years from August 30, 2010 through August 31, 2013, we have consented and enrolled 3,979 patients with primary breast cancer at the seven hospital sites in South Sweden, representing approximately 85% of eligible patients in the catchment area. Pre-operative blood samples have been collected for 3,942 (99%) patients and primary tumor specimens collected for 2,929 (74%) patients. Herein we describe the study infrastructure and present initial proof of concept results from prospective RNA-sequencing including tumor molecular subtyping and detection of driver gene mutations. We demonstrate that large-scale population-based collection and RNA-sequencing analysis of breast cancer is feasible. The SCAN-B Initiative should significantly reduce the time to discovery, validation, and clinical implementation of novel molecular diagnostic and predictive tests. We welcome the participation of additional comprehensive cancer treatment centers.
The Sweden Cancerome Analysis Network - Breast (SCAN-B) Initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine.
Specimen part
View SamplesMurine Pulmonary Responses to Ambient Baltimore Particulate Matter: Genomic Analysis and Contribution to Airway Hyperresponsiveness
Murine lung responses to ambient particulate matter: genomic analysis and influence on airway hyperresponsiveness.
No sample metadata fields
View SamplesQuiescent and dividing hemopoietic stem cells (HSC) display marked differences in their ability to move between the peripheral circulation and the bone marrow. Specifically, long-term engraftment potential predominantly resides in the quiescent HSC subfraction, and G-CSF mobilization results in the preferential accumulation of quiescent HSC in the periphery. In contrast, stem cells from chronic myeloid leukemia (CML) patients display a constitutive presence in the circulation. To understand the molecular basis for this, we have used microarray technology to analyze the transcriptional differences between dividing and quiescent, normal, and CML-derived CD34+ cells.
Transcriptional analysis of quiescent and proliferating CD34+ human hemopoietic cells from normal and chronic myeloid leukemia sources.
Specimen part, Disease, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Gaucher disease: transcriptome analyses using microarray or mRNA sequencing in a Gba1 mutant mouse model treated with velaglucerase alfa or imiglucerase.
Age, Specimen part, Treatment
View SamplesThe comparative whole genome transcriptome effects of two similar pharmaceuticals, imig or vela, on a Gaucher disease mouse model, 9V/null, were evaluated by two commonly used platforms, mRNA-Seq and microarray. Also, statistical methods, DESeq and edgeR for mRNA-Seq and Mixed Model ANOVA for microarray, were compared for differential gene expression detection. The biological pathways were similar between two platforms. Cell growth and proliferation, cell cycle, heme metabolism, and mitochondrial dysfunction were the most altered functions associated with the disease process. Although the two biopharmaceuticals have a very similar structure and function, imig- and vela- treatment in the mice differentially affected disease-specific pathways indicating the action of the two drugs on the disease process in the visceral tissues of Gaucher mouse model differ significantly at the molecular level. This study provides a comprehensive comparison between the two platforms (mRNA-Seq and microarray) for gene expression analysis and addresses the contribution of the different methods involved in the analysis of such data. The results also provide insights into the differential molecular effects of two similar biopharmaceuticals for Gaucher disease treatment Overall design: 9V/null mice (Gaucher mouse model) were injected weekly via tail vein with 60U/kg/wk of imig or vela for 8 wks. Control 9V/null mice were injected with same volume of saline. Wt mice were untreated. Age and strain matched mice were used for the study. Also, statistical methods, DESeq and edgeR for mRNA-Seq and Mixed Model ANOVA for microarray, were compared for differential gene expression detection. Cell growth and proliferation, cell cycle, heme metabolism, and mitochondrial dysfunction were the most altered functions associated with the disease process. The results also provide insights into the differential molecular effects of two similar biopharmaceuticals for Gaucher disease treatment.
Gaucher disease: transcriptome analyses using microarray or mRNA sequencing in a Gba1 mutant mouse model treated with velaglucerase alfa or imiglucerase.
Age, Specimen part, Treatment, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Gaucher disease: transcriptome analyses using microarray or mRNA sequencing in a Gba1 mutant mouse model treated with velaglucerase alfa or imiglucerase.
Age, Specimen part, Treatment
View Samples