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accession-icon GSE86416
MYC favors the onset of tumorigenesis by inducing epigenetic reprogramming of mammary epithelial cells towards a stem cell-like state
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MYC-driven epigenetic reprogramming favors the onset of tumorigenesis by inducing a stem cell-like state.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE72046
Transcriptome profiles of mice intestine and liver upon infection with Salmonella typhimurium (MC71-TT and MC71-DcdtB)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Bacterial 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.

Publication Title

The Typhoid Toxin Promotes Host Survival and the Establishment of a Persistent Asymptomatic Infection.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26262
Pin1/mutant-p53 jointly controlled genes
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To 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.

Publication Title

A Pin1/mutant p53 axis promotes aggressiveness in breast cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE35525
Pivotal role of HMGA1 gene signature in highly metastatic breast cancer
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis 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.

Publication Title

HMGA1 promotes metastatic processes in basal-like breast cancer regulating EMT and stemness.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE2509
Colon cancer progression-polysomal difference
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Two 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).

Publication Title

Global alterations in mRNA polysomal recruitment in a cell model of colorectal cancer progression to metastasis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE1323
Isogenic primary tumor/metastasis comparison
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

SW480 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.

Publication Title

Global alterations in mRNA polysomal recruitment in a cell model of colorectal cancer progression to metastasis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE56609
Peripheral blood mononuclear cell gene expression pre-/post- acute metabolic challenge
  • organism-icon Homo sapiens
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE56607
Peripheral blood mononuclear cell gene expression pre-/post- oral glucose challenge
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Acute 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.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE56608
Peripheral blood mononuclear cell gene expression pre-/post- oral lipid challenge
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Acute 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.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE73072
Host gene expression signatures of H1N1, H3N2, HRV, RSV virus infection in adults
  • organism-icon Homo sapiens
  • sample-icon 2886 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Consider 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.

Publication Title

An individualized predictor of health and disease using paired reference and target samples.

Sample Metadata Fields

Specimen part, Subject, Time

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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