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GSE74611
Homo sapiens
16 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Reactive oxygen species (ROS) are implicated in tumor transformation by modulating proteins involved in differentiation, proliferation and invasion. In order to identify genes that may support melanoma progression or regression after an antioxidant system (AOS) response, we developed and characterized a human melanoma cell model with different levels of ROS by stably overexpressing the antioxidant enzyme catalase in A375 amelanotic melanoma cells, and whole genome gene expression patterns were analyzed by microarrays.
Publication Title
Reprogramming human A375 amelanotic melanoma cells by catalase overexpression: Upregulation of antioxidant genes correlates with regression of melanoma malignancy and with malignant progression when downregulated.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 115 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
High Expression of Complement Component 5 (C5) at Tumor Site Associates with Superior Survival in Ewing's Sarcoma Family of Tumour Patients.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Cell line
View Samples- Homo sapiens
- 61 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Purpose: Unlike in most adult-onset cancers, an association between typical paediatric neoplasms and inflammatory triggers is rare. We studied whether immune system related genes are activated and have prognostic significance in Ewing sarcoma family of tumours (ESFT). Experimental design: Data-analysis was performed on gene expression profiles of 44 ESFT patient, 11 ESFT cell line, and 18 normal muscle tissue samples. 238 inflammation related genes were selected based on literature and a macrophage gene expression signature was derived from SymAtlas. Differential expression of the genes was analysed by t-test and survival analysis was performed according to gene expression.
Publication Title
High Expression of Complement Component 5 (C5) at Tumor Site Associates with Superior Survival in Ewing's Sarcoma Family of Tumour Patients.
Sample Metadata Fields
Sex, Age, Specimen part, Disease
View Samples- Homo sapiens
- 54 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Purpose: Unlike in most adult-onset cancers, an association between typical paediatric neoplasms and inflammatory triggers is rare. We studied whether immune system related genes are activated and have prognostic significance in Ewing sarcoma family of tumours (ESFT). Experimental design: Data-analysis was performed on gene expression profiles of 44 ESFT patient, 11 ESFT cell line, and 18 normal muscle tissue samples. 238 inflammation related genes were selected based on literature and a macrophage gene expression signature was derived from SymAtlas. Differential expression of the genes was analysed by t-test and survival analysis was performed according to gene expression.
Publication Title
High Expression of Complement Component 5 (C5) at Tumor Site Associates with Superior Survival in Ewing's Sarcoma Family of Tumour Patients.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Cell line
View Samples- Homo sapiens
- 114 Downloadable Samples
- Affymetrix Human Genome U219 Array (hgu219), Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
In this paper we demonstrated the potential to flag toxicity issues by utilizing data from exploratory experiments which are typically generated for target evaluation purposes during early drug discovery
Publication Title
Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Genome U219 Array (hgu219), Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
In this paper we demonstrated the potential to flag toxicity issues by utilizing data from exploratory experiments which are typically generated for target evaluation purposes during early drug discovery
Publication Title
Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
In this paper we demonstrated the potential to flag toxicity issues by utilizing data from exploratory experiments which are typically generated for target evaluation purposes during early drug discovery
Publication Title
Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 62 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Wiskott-Aldrich syndrome (WAS) predisposes patients to leukemia and lymphoma. WAS is caused by mutations in the protein WASP which impair its interaction with the WIPF1 protein. Here, we aim to identify a module of WIPF1-coexpressed genes and to assess its use as a prognostic signature for colorectal cancer, glioma, and breast cancer patients. Two public colorectal cancer microarray data sets were used for discovery and validation of the WIPF1 co-expression module. Based on expression of the WIPF1 signature, we classified more than 400 additional tumors with microarray data from our own experiments or from publicly available data sets according to their WIPF1 signature expression. This allowed us to separate patient populations for colorectal cancers, breast cancers, and gliomas for which clinical characteristics like survival times and times to relapse were analyzed. Groups of colorectal cancer, breast cancer, and glioma patients with low expression of the WIPF1 co-expression module generally had a favorable prognosis. In addition, the majority of WIPF1 signature genes are individually correlated with disease outcome in different studies. Literature gene network analysis revealed that among WIPF1 co-expressed genes known direct transcriptional targets of c-myc, ESR1 and p53 are enriched. The mean expression profile of WIPF1 signature genes is correlated with the profile of a proliferation signature. The WIPF1 signature is the first microarray-based prognostic expression signature primarily developed for colorectal cancer that is instrumental in other tumor types: low expression of the WIPF1 module is associated with better prognosis.
Publication Title
An expression module of WIPF1-coexpressed genes identifies patients with favorable prognosis in three tumor types.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 15 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Analysis of cardiomyocytes cultivated in 2D or age-matched 3D (Engineered heart tissue, EHT) format.
Publication Title
Human Engineered Heart Tissue: Analysis of Contractile Force.
Sample Metadata Fields
Age, Specimen part
View Samples