This SuperSeries is composed of the SubSeries listed below.
MYC-driven epigenetic reprogramming favors the onset of tumorigenesis by inducing a stem cell-like state.
Sex, Specimen part
View SamplesBacterial genotoxins, produced by several Gram-negative bacteria, induce DNA damage in the target cells. While the responses induced in the host cells have been extensively studied in vitro, the role of the genotoxins as effectors during the course of acute and chronic infections remains poorly characterized.To address this issue, we assessed the effects of the Salmonella enterica genotoxin, known as typhoid toxin, in in vivo models of murine chronic infections. Immunocompetent mice were chronically infected with isogenic S. enterica, serovar Typhimurium (S. Typhimurium) strains, encoding either a functional (MC71-TT) or an inactive (MC71-DcdtB) typhoid toxin.
The Typhoid Toxin Promotes Host Survival and the Establishment of a Persistent Asymptomatic Infection.
No sample metadata fields
View SamplesTo investigate the specific gene expression program by which mutant-p53 and Pin1 control invasion and metastasis in breast cancer cells, we compared the transcriptomic profile of control, mutant-p53 depleted or Pin1 depleted MDA-MB-231 cells.
A Pin1/mutant p53 axis promotes aggressiveness in breast cancer.
Cell line
View SamplesAnalysis of MDA-MB-231 breast cancer cells depleted for High Mobility Group A1 (HMGA1) using siRNA. HMGA1 is involved in invasion and metastasis in breast cancer cells. Results identify the specific transcriptional program induced by HMGA1 in highly metastatic breast cancer cells.
HMGA1 promotes metastatic processes in basal-like breast cancer regulating EMT and stemness.
Specimen part, Cell line
View SamplesTwo colon cancer cell lines are under study. SW480 and SW620. The first one is derived from primary cancer, SW620 are from lymphnode metastatic sites. they both comes from the sampe patient. Polisomal RNA fractions from the two isogenic colon cancer cells lines was purified by sucrose gradient and hybridized on affymetrix hgu133a chips. this study is complementary to the series GSE1323 were total RNA was used instead. Comparison between the polysomal fraction chips and the total RNA chips is performed and the analysis proposed in a paper from the authors (at the moment in preparation).
Global alterations in mRNA polysomal recruitment in a cell model of colorectal cancer progression to metastasis.
No sample metadata fields
View SamplesSW480 and SW620 are colon cancer cells lines derived from a primary tumor and a corresponding metastasis from the same individual. The numbers indicate the three indipendent replicate RNA samples processed. Three different software packages were used in parallel for signal calculation: Affymetrix microarray suite 5.0, DNA-Chip analyzer, and Robust multi-array analyses.
Global alterations in mRNA polysomal recruitment in a cell model of colorectal cancer progression to metastasis.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
No associated publication
Sex, Age
View SamplesAcute metabolic challenges provide insight on how the body responds to metabolic stress. In this study, we assessed transcriptomic response in peripheral blood mononuclear cells (PBMC) to an acute glucose challenge.
No associated publication
Sex, Age
View SamplesAcute metabolic challenges provide insight on how the body responds to metabolic stress. In this study, we assessed transcriptomic response in peripheral blood mononuclear cells (PBMC) to an acute lipid challenge.
No associated publication
Sex, Age
View SamplesConsider the problem of designing a panel of complex biomarkers to predict a patient's health or disease state when one can pair his or her current test sample, called a target sample, with the patient's previously acquired healthy sample, called a reference sample. As contrasted to a population averaged reference, this reference sample is individualized. Automated predictor algorithms that compare and contrast the paired samples to each other could result in a new generation of test panels that compare to a person's healthy reference to enhance predictive accuracy. This study develops such an individualized predictor and illustrates the added value of including the healthy reference for design of predictive gene expression panels. The objective is to predict each subject's state of infection, e.g., neither exposed nor infected, exposed but not infected, pre-acute phase of infection, acute phase of infection, post-acute phase of infection. Using gene microarray data collected in a large-scale serially sampled respiratory virus challenge study, we quantify the diagnostic advantage of pairing a person's baseline reference with his or her target sample.
An individualized predictor of health and disease using paired reference and target samples.
Specimen part, Subject, Time
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