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GSE9493
Homo sapiens
80 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the subseries listed below.
Publication Title
Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.
Sample Metadata Fields
Sex, Age, Subject
View Samples- Homo sapiens
- 58 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Specific early diagnosis of renal allograft rejection is gaining importance in the current trend to minimize and individualize immunosuppression. Gene expression analyses could contribute significantly by defining molecular Banff signatures. Several previous studies have applied transcriptomics to distinguish different classes of kidney biopsies. However, the heterogeneity of microarray platforms, clinical samples and data analysis methods complicates the identification of robust signatures for the different types and grades of rejection. To address these issues, a comparative meta-analysis was performed across five different microarray datasets of heterogeneous sample collections from two published clinical datasets and three own datasets including biopsies for clinical indications, protocol biopsies, as well as comparative samples from non-human primates (NHP). This work identified conserved gene expression signatures that can differentiate groups with different histopathological findings in both human and NHP, regardless of the technical platform used. The marker panels comprise genes that clearly support the biological changes known to be involved in allograft rejection. A characteristic dynamic expression change of genes associated with immune and kidney functions was observed across samples with different grades of CAN. In addition, differences between human and NHP rejection were essentially limited to genes reflecting interstitial fibrosis progression. This data set comprises all renal allograft biopsies for clinical indications from patients at Hpital Tenon, Paris (February 2003 until September 2004) and few respective patients from Hpital Bictre, Paris, Hpital Pellegrin, Bordeaux, and Hpital Dupuytren, Limoges, plus control normal kidney samples from Hpital Tenon, Paris, France (first batch).
Publication Title
Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Specific early diagnosis of renal allograft rejection is gaining importance in the current trend to minimize and individualize immunosuppression. Gene expression analyses could contribute significantly by defining molecular Banff signatures. Several previous studies have applied transcriptomics to distinguish different classes of kidney biopsies. However, the heterogeneity of microarray platforms, clinical samples and data analysis methods complicates the identification of robust signatures for the different types and grades of rejection. To address these issues, a comparative meta-analysis was performed across five different microarray datasets of heterogeneous sample collections from two published clinical datasets and three own datasets including biopsies for clinical indications, protocol biopsies, as well as comparative samples from non-human primates (NHP). This work identified conserved gene expression signatures that can differentiate groups with different histopathological findings in both human and NHP, regardless of the technical platform used. The marker panels comprise genes that clearly support the biological changes known to be involved in allograft rejection. A characteristic dynamic expression change of genes associated with immune and kidney functions was observed across samples with different grades of CAN. In addition, differences between human and NHP rejection were essentially limited to genes reflecting interstitial fibrosis progression. This data set comprises all renal allograft biopsies for clinical indications from patients at Hpital Tenon, Paris (February 2003 until September 2004) and few respective patients from Hpital Bictre, Paris, Hpital Pellegrin, Bordeaux, and Hpital Dupuytren, Limoges, plus control normal kidney samples from Hpital Tenon, Paris, France (first batch).
Publication Title
Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.
Sample Metadata Fields
Sex, Age, Subject
View Samples- Homo sapiens
- 8 Downloadable Samples
IlluminaHiSeq2000
Description
Notch activation is instrumental in the development of most T-cell acute lymphoblastic leukemia (T-ALL) cases, yet Notch mutations alone are not sufficient to recapitulate the full human disease in animal models. We here found that Notch1 activation at the fetal liver (FL) stage expanded the hematopoietic progenitor population and conferred it transplantable leukemic-initiating capacity. However, leukemogenesis and leukemic-initiating cell capacity induced by Notch1 was critically dependent on the levels of ß-Catenin in both FL and adult bone marrow contexts. In addition, inhibition of ß-Catenin compromised survival and proliferation of human T-ALL cell lines carrying activated Notch1. By transcriptome analyses, we identified the MYC pathway as a crucial element downstream of ß-Catenin in these T-ALL cells and demonstrate that the MYC 3'' enhancer required ß-Catenin and Notch1 recruitment to induce transcription. Finally, PKF115-584 treatment prevented and partially reverted leukemogenesis induced by active Notch1. Overall design: Four T-ALL cell lines (RPMI8402, HPB-ALL, Jurkat, CCRF-CEM) were treated with DMSO (control) or PKF115-584 (310nM) for 3hrs. Gene expression changes were measured with Cufflinks comparing the 4 control with the 4 treated samples.
Publication Title
β-Catenin is required for T-cell leukemia initiation and MYC transcription downstream of Notch1.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Illumina HiSeq 2500
Description
We have generated a mouse model for tumor initiation carrying a mutation in APC and lacking IKKa in intestinal epithelial cells. IKKa-deficient intestinal cells primarily failed to generate adenomas, and the few adenomas arising in this background displayed a significant reduction in cell proliferation. Using an in vitro model for intestinal tumoroids (derived from adenoma initiating cells), we have performed RNA sequencing of wild type and IKKa-deficient intestinal tumoroids. This has demonstrated that epithelial IKKa controls transcription of stem cell-related genes and genes associated with proliferation and apoptosis. Overall design: RNA sequencing of IKKa WT and KO tumoroids, done in triplicates
Publication Title
IKKα is required in the intestinal epithelial cells for tumour stemness.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Hematopoietic Stem Cells (HSC) are originated during embryonic development from endothelial-like cells located in the ventral side of the dorsal aorta around day E10-12 of murine development. This region is called AGM for Aorta/Gonad/Mesonephros and refers to the tissues around the hemogenic aorta. Cells that emerge from the endothelium and show hematopoietic traits can be distinguished by the expression of the c-kit receptor and finally acquire the CD45 marker.
Publication Title
Hematopoietic stem cell development requires transient Wnt/β-catenin activity.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 15 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Robles-Valero et al. report a tumor suppression role for the otherwise oncogenic Vav1 Rho GEF. This paradoxical action is mediated by the catalysis-independent buffering of Notch1 signaling in immature T cells.
Publication Title
A Paradoxical Tumor-Suppressor Role for the Rac1 Exchange Factor Vav1 in T Cell Acute Lymphoblastic Leukemia.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 16 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Gene expression profile between Parp-2-/- and wild-type hematopoietic stem/progenitor cells at basal and to the early response (2.5 hours) to 5 Gy total body irradiation
Publication Title
Parp-2 is required to maintain hematopoiesis following sublethal γ-irradiation in mice.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Gene expression from MCF7 breast cancer cells at different times of TNFa incubation:pcs2 and 14-3-3 transduced cells
Publication Title
Inhibition of specific NF-κB activity contributes to the tumor suppressor function of 14-3-3σ in breast cancer.
Sample Metadata Fields
Time
View Samples- Mus musculus
- 4 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Low levels of the cell cycle regulator p27Kip1 are associated with a worse outcome in many tumor types. We report here a new regulatory role of p27Kip1 as a transcriptional regulator. In association with transcriptional factors such as ETS and E2F4 and co-repressors like p130, HDACs and mSin3A, p27 binds to promoters of multiple genes leading to their repression. The p27-target genes participate in RNA processing, translation, respiration and cell cycle. Remarkably, p27-target genes are over-expressed in different human tumors in tight association with a poor clinical prognosis. We also observed a clear correlation between low levels of p27 and over-expression of p27-target genes in tumors. Overall, our findings indicate new tumor suppressor roles of p271 as a transcriptional regulator of genes relevant for oncogenesis.
Publication Title
p27Kip1 represses transcription by direct interaction with p130/E2F4 at the promoters of target genes.
Sample Metadata Fields
Specimen part
View Samples