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GSE19793
Mus musculus
31 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Inflammation has pleiotropic effects on carcinogenesis and tumor progression. Signaling through the adaptor protein MyD88 promotes carcinogenesis in several chemically induced cancer models. Interestingly, we observed a protective role for MyD88 in the development of AOM/DSS colitis-associated cancer. The inability of Myd88-/- mice to heal ulcers generated upon injury creates an inflammatory environment that increases the frequency of mutations and results in a dramatic increase in adenoma formation and cancer progression. Susceptibility to colitis development and enhanced polyp formation were also observed in Il18-/- mice upon AOM/DSS treatment, suggesting that the phenotype of MyD88 knockouts is in part due to their inability to signal through the IL-18 receptor. This study revealed a previously unknown level of complexity surrounding MyD88 activities downstream of different receptors that differentially impact tissue homeostasis and carcinogenesis.
Publication Title
MyD88-mediated signaling prevents development of adenocarcinomas of the colon: role of interleukin 18.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 14 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Adenoid cystic carcinoma (ACC) is an uncommon malignant neoplasm (incidence of 0.35 per 100,000) that occurs in different body sites. It most often arises in salivary glands and other secretory glands in the head and neck region. To find the gene expression signatures of ACC, we performed microarray experiments to compare ACC xenograft tumor models and normal tissue samples. We used microarrays to detail the global program of gene expression underlying adenoid cystic carcinoma and identified distinct classes of up- and down-regulated genes compared to non-neoplastic salivary tissue.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
We have investigated the role of actin dynamics and the effect of actin cytoskeleton modifying agents on retinoid receptor-mediated transactivation. Using Nef, an actin modifying HIV-1 protein, the role of LMK1/CFL1-mediated actin dynamics in receptor function was studied. The effect of Nef expression on transcriptome was investigated following transfection of HEK293 cells with Nef-expressing plasmid. The array data identified Nef-induced inhibition of a number of genes that contain retinoid receptor binding sites in their promoters.
Publication Title
LIM kinase 1 - dependent cofilin 1 pathway and actin dynamics mediate nuclear retinoid receptor function in T lymphocytes.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 744 Downloadable Samples
- Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
The microarray gene expression pattern was studied using 798 different cancer cell lines. The cancer cell lines are obtained from different centers. Annotation information were provided in the supplementary file.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 696 Downloadable Samples
- Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
TCGA Analysis of RNA Expression for Glioblastoma Multiforme Using Affymetrix HT_HG-U133A
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage, Subject
View Samples- Homo sapiens
- 577 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This is Rembrandt gene expression data (Affymetrix HG-U133Plus2).
Publication Title
Rembrandt: helping personalized medicine become a reality through integrative translational research.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 527 Downloadable Samples
- Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
TCGA Analysis of RNA Expression for Ovarian Serous Cystadenocarcinoma Using Affymetrix HT_HG-U133A
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Disease stage, Subject
View Samples- Homo sapiens
- 525 Downloadable Samples
- Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
TCGA Analysis of RNA Expression for Glioblastoma Multiforme Using Affymetrix HT_HG-U133A
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Disease stage, Subject
View Samples- Homo sapiens
- 516 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
breast cancer
Publication Title
No associated publication
Sample Metadata Fields
Disease
View Samples- Homo sapiens
- 444 Downloadable Samples
- Affymetrix Human Genome U95A Array (hgu95a)
Description
The incidence of prostate cancer is frequent, occurring in almost one-third of men older than 45 years. Only a fraction of the cases reach the stages displaying clinical significance. Despite the advances in our understanding of prostate carcinogenesis and disease progression, our knowledge of this disease is still fragmented. Identification of the genes and patterns of gene expression will provide a more cohesive picture of prostate cancer biology. PATIENTS AND METHODS: In this study, we performed a comprehensive gene expression analysis on 152 human samples including prostate cancer tissues, prostate tissues adjacent to tumor, and organ donor prostate tissues, obtained from men of various ages, using the Affymetrix (Santa Clara, CA) U95a, U95b, and U95c chip sets (37,777 genes and expression sequence tags). RESULTS: Our results confirm an alteration of gene expression in prostate cancer when comparing with nontumor adjacent prostate tissues. However, our study also indicates that the gene expression pattern in tissues adjacent to cancer is so substantially altered that it resembles a cancer field effect. CONCLUSION: We also found that gene expression patterns can be used to predict the aggressiveness of prostate cancer using a novel model.
Publication Title
Gene expression alterations in prostate cancer predicting tumor aggression and preceding development of malignancy.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples