Filters
Technology
Platform
GSE29561
Homo sapiens
21 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
We investigated whether we could identify gene expression profiles in initial core biopsies of breast cancer samples that would permit to a) predict a clinically meaningful response to Epi/Doc in terms of tumor size reduction, b) predict a profound reduction in intratumoral Ki67 protein expression, and c) predict an in vitro response to Epi/Doc in the ATP-TCA.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part
View Samples- Sus scrofa
- 18 Downloadable Samples
- Affymetrix Porcine Genome Array (porcine)
Description
Ischemia reperfusion injury (IRI) in organ transplantation remains a significant problem with limited alternative therapeutic options. Organs that undergo significant damage during IRI, particularly those enduring long warm ischemia times, undergo significant delayed graft function (DGF) after reperfusion and tend to have greater complications long term with the onset of chronic rejection. The gas molecule carbon monoxide (CO) has emerged as an agent that can suppress IRI in rodent models of solid organ transplantation. Since the use of CO is a potential therapeutic modality in humans, we tested if CO can prevent DGF in a pig model of kidney transplantation
Publication Title
Intraoperative administration of inhaled carbon monoxide reduces delayed graft function in kidney allografts in Swine.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Tyrosine kinase inhibitors represent a new generation of targeted drugs for cancer treatment and chemoprevention. The EGF receptor inhibitor erlotinib is under discussion for chemoprevention of hepatocellular carcinoma.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus, Homo sapiens
- 5 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
The p53 family is known as a family of transcription factors with functions in tumor suppression and development. Whereas the central DNA binding domain is highly conserved among the three family members p53, p63 and p73, the C-terminal domains (CTDs) are diverse and subject to alternative splicing and post-translational modification. Here we demonstrate that the CTDs strongly influence DNA binding and transcriptional activity. While p53 and the p73 isoform p73gamma have basic CTDs and form weak sequence-specific protein-DNA complexes, the major p73 isoforms alpha, beta and delta have neutral CTDs and bind DNA strongly. A basic CTD has been previously shown to enable sliding along the DNA backbone and to facilitate the search for binding sites in the complex genome. Our experiments, however, reveal that a basic CTD also reduces protein-DNA complex stability, intranuclear mobility, promoter occupancy in vivo, transgene activation and induction of cell cycle arrest or apoptosis. A basic CTD in p53 and p73gamma therefore provides both positive and negative regulatory functions presumably to enable rapid switching of protein activity in response to stress. In contrast, most p73 isoforms exhibit constitutive DNA binding activity consistent with a predominant role in developmental control.
Publication Title
C-terminal diversity within the p53 family accounts for differences in DNA binding and transcriptional activity.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 5 Downloadable Samples
Illumina HiSeq 2000
Description
Ribosome Profiling was employed to learn about Ribosome A-site occupancies in response to uL11 siRNA treatment or scrambled siRNA treatment in Cystic Fibrosis Bronchial Epithelial (CFBE) cells. Overall design: Ribosome Profiling of cells 96h after siRNA transfection
Publication Title
Slowing ribosome velocity restores folding and function of mutant CFTR.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
sh RNA of p73 in Fibroblasts compared to non-silencing control
Publication Title
p73 poses a barrier to malignant transformation by limiting anchorage-independent growth.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 60 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Background: Information on the carcinogenic potential of chemicals is only availably for High Production Volume products. There is however, a pressing need for alternative methods allowing for the chronic toxicity of substances, including carcinogenicity, to be detected earlier and more reliably. Here we applied advanced genomics to a cellular transformation assay to identify gene signatures useful for the prediction of risk for carcinogenicity. Methods: Genome wide gene expression analysis and qRT-PCR were applied to untransformed and transformed Balb/c 3T3 cells that exposed to 2, 4-diaminotoluene (DAT), benzo(a)pyrene (BaP), 2-Acetylaminoflourene (AAF) and 3-methycholanthrene (MCA) for 24h and 120h, at different concentrations, respectively. Furthermore, various bioinformatics tools were used to identify gene signatures predicting for the carcinogenic risk. Results: Bioinformatics analysis revealed distinct datasets for the individual chemicals tested while the number of significantly regulated genes increased with ascending treatment concentration of the cell cultures. Filtering of the data revealed a common gene signature that comprised of 13 genes whose regulation in cancer tissue has already been established. Strikingly, this gene signature was already identified prior to cell transformation therefore confirming the predictive power of this gene signature in identifying carcinogenic risks of chemicals. Comparison of fold changes determined by microarray analysis and qRT-PCR were in good agreement. Conclusion: Our data describes selective and commonly regulated carcinogenic pathways observed in an easy to use in vitro carcinogenicity assay. Here we defined a set of genes which can serve as a simply assay to predict the risk for carcinogenicity by use of an alternative in vitro testing strategy.
Publication Title
Toxicogenomics applied to in vitro carcinogenicity testing with Balb/c 3T3 cells revealed a gene signature predictive of chemical carcinogens.
Sample Metadata Fields
Cell line, Treatment, Time
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
We recently reported isolation of various cancer progenitor cells of transgenic c-Myc and c-Raf mouse lung tumors [Reamon-Buettner SM and Borlak J, 2008]. As lung tumors can arise following dysregulation of signalling pathways normally activated during lung development we were particularly interested in investigating the genetic heterogeneity of these cancer cell lines. By whole genome expression analysis we identified two cell lines (A2C12, cRAF_cMYC) to be very different from the remaining tumor cells. Specifically the A2C12 and cRAF_cMYC cell lines expressed various stem cell markers, most notably CD34, CD44, Pdpn and Dlg7. Likewise, the A2C12 and cRAF_cMYC expressed the ATP-binding cassette (ABC) transporters Abcc1 and Abcg2 at different level when compared to other established cell lines. Furthermore, a genome wide expression profiling displayed differential gene expression pattern between and within progenitor cell lines. That provided important clues on heterogeneity in the signalling pathways amongst the cancer cell lines. We also knock down CD44 using a retroviral delivery system and observed an increased G1 peak and apoptosis as determined by flow cytometry. Finally, we analyzed promoters of regulated genes and identified overrepresented 18 transcription factor binding sites (TFBS) in common regulated genes, 10 unique TFBS in A2C12 and 9 unique TFBS in cRaf_cMyc. These data indicates that our tumor cell lines are suitable models to study the biology of lung cancer progenitor cell. Most importantly, we show that our tumor cell lines do not represent a homogeneous population of tumor-initiating cells. Understanding heterogeneity in tumors will lead to new diagnostic and therapeutic approaches.
Publication Title
No associated publication
Sample Metadata Fields
Disease, Disease stage, Cell line
View Samples- Mus musculus
- 18 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Background The side population (SP) phenotype, a subset of cells that extrude the nucleic acid dye Hoechst 33342, has been reported to be enriched for stem cells in several human normal tissues, cancers and cell lines, and thus may be useful for the identification and isolation of cancer stem cells. Methods We demonstrated the presence of SP fractions in all analyzed tumor cell lines ranging between 7- 20% of cells. To identify gene expression patterns that contribute to SP phenotype, microarray analysis of SP and non-SP cells was performed. We additionally confirmed regulation of some genes by qRT-PCR. Results Surprisingly, only a subset of few genes in SP cells showed altered gene expression. A total of 11 genes in A2C12, 103 genes in cRAF_cMYC and 101 genes in beta5 SP cells were regulated. Most regulated genes are involved in transcription / transcriptional regulation and transport. In addition, we found no enrichment of previously described stem cell marker like CD24a, CD90 or CD133 and also the ABC transporter ABCG2 was only slightly increased in side population fraction of two cell lines. But despite the few differences between SP and non-SP cells, the beta5 tumor cells were highly tumorigenic due to their capacity to form an original murine tumor when injected in NOD/SCID mice. Conclusion These findings stand in contrast to other observations but indicate that there are further factors responsible for the SP phenotype and that SP cells alone are not suitable as a universal stem cell marker.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part, Disease, Disease stage, Cell line
View Samples- Mus musculus
- 15 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Lung cancer is a leading cause of deaths in the world. There is a need to improve an understanding of mechanisms of malignant transformation and to develop genetic markers of disease for better and targeted therapies.
Publication Title
Cancer genomics identifies regulatory gene networks associated with the transition from dysplasia to advanced lung adenocarcinomas induced by c-Raf-1.
Sample Metadata Fields
No sample metadata fields
View Samples