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GSE12771
Homo sapiens
242 Downloadable Samples
Illumina human-6 v1.0 expression beadchip
Description
We generated a blood-derived transcriptional signature that discriminates patients with lung cancer from non-affected smokers. When applied to blood samples from one of the largest prospective population-based cancer studies (the European Prospective Investigation into Cancer and Nutrition), this signature accurately predicted the occurrence of lung cancer in smokers within two years before the onset of clinical symptoms. Such a blood test could be used as a screening tool to enable early diagnosis of lung cancer at a curable stage.
Publication Title
Blood-based gene expression signatures in non-small cell lung cancer.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 53 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Non small cell lung cancer is the leading cause of cancer related mortality in the western world. RNA expression profiles have been demonstrated to be associated with a specific clinical course of the disease.
Publication Title
No associated publication
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 32 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
GEP of the murine cell line BAL17 (BALB/c)
Publication Title
Mechanisms of intracerebral lymphoma growth delineated in a syngeneic mouse model of central nervous system lymphoma.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U95 Version 2 Array (hgu95av2)
Description
To characterize the molecular origin of primary lymphomas of the central nervous system (PCNSL), 21 PCNSL of immunocompetent patients were investigated by microarray-based gene expression profiling. Comparison of the transcriptional profile of PCNSL with various normal and neoplastic B cell subsets demonstrated PCNSL (i) to display gene expression patterns most closely related to late germinal center B cells, (ii) to display a gene expression profile similar to systemic diffuse large B cell lymphomas (DLBCL), and (iii) to be in part assigned to the activated B cell-like (ABC) or the germinal center B cell-like (GCB) subtype of DLBCL.
Publication Title
Gene expression profiling suggests primary central nervous system lymphomas to be derived from a late germinal center B cell.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 17 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
To analyze expression differences between Trp53 pro-and deficient as well as Atm pro- and deficient murine CLL tumors developing in the E-TCL1 mouse model, we analyzed splenocytes isolated from heavily infiltrated spleens of sick mice.
Publication Title
Two mouse models reveal an actionable PARP1 dependence in aggressive chronic lymphocytic leukemia.
Sample Metadata Fields
Specimen part
View Samples GSE54017- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Antibody-independent effector functions of B cells, such as antigen presentation and cytokine production, have been shown to play an important role in a variety of immune-mediated conditions such as autoimmune diseases, transplant rejection and graft-versus-host disease. Therapeutic strategies, which interfere with B cell activation could therefore be a useful addition to the current immunosuppressive armamentarium. CD40 is one of the strongest activation stimuli for B cells. The aim of this study was to characterise the gene expression changes that occurr after B cell activation via CD40.
Publication Title
Inhibition of protein geranylgeranylation specifically interferes with CD40-dependent B cell activation, resulting in a reduced capacity to induce T cell immunity.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 190 Downloadable Samples
- Affymetrix Human Genome U219 Array (hgu219)
Description
We here used whole blood gene expression profiling to differentiate SSc patients from healthy controls (HC) and to identify a specific gene expression and predictive genes for SSc-overlap syndromes.
Publication Title
Whole blood gene expression profiling distinguishes systemic sclerosis-overlap syndromes from other subsets.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Mus musculus
- 89 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 82 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Test systems to identify developmental toxicants are urgently needed. A combination of human stem cell technology and transcriptome analysis was used here to provide proof-of-concept that toxicants with a related mode of action can be identified, and grouped for read-across. We chose a test system of developmental toxicity, related to the generation of neuroectoderm from pluripotent stem cells (UKN1), and exposed cells for six days to benchmark concentration (BMC) of histone deacetylase inhibitors (HDACi) valproic acid, trichostatin-A, vorinostat, belinostat, panobinostat and entinostat. To provide insight into their toxic action, we identified HDACi consensus genes, assigned them to superordinate biological processes, and mapped them to a human transcription factor network constructed from hundreds of transcriptome data sets. We also tested a heterogeneous group of mercurials (methylmercury, thimerosal, mercury(II)chloride, mercury(II)bromide, 4-chloromercuribenzoic acid, phenylmercuric acid) (BMCs). Microarray data were compared at the highest non-cytotoxic concentration for all 12 toxicants. A support vector machine (SVM)-based classifier predicted all HDACi correctly. For validation, the classifier was applied to legacy data sets of HDACi, and for each exposure situation, the SVM predictions correlated with the developmental toxicity. Finally, optimization of the classifier based on 100 probe sets showed that eight genes (F2RL2, TFAP2B, EDNRA, FOXD3, SIX3, MT1E, ETS1, LHX2) are sufficient to separate HDACi from mercurials. Our data demonstrate, how human stem cells and transcriptome analysis can be combined for mechanistic grouping and prediction of toxicants. Extension of this concept to mechanisms beyond HDACi would allow prediction of human developmental toxicity hazard of unknown compounds with the UKN1 test system.
Publication Title
A transcriptome-based classifier to identify developmental toxicants by stem cell testing: design, validation and optimization for histone deacetylase inhibitors.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 71 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part
View Samples