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accession-icon GSE46184
Breast Cancer Gene Expression Data from Hamburg Series
  • organism-icon Homo sapiens
  • sample-icon 73 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene expression profiling of surgical biopsies from 74 breast cancer patients of different subtypes from Hamburg dataset.

Publication Title

Prognostic relevance of glycosylation-associated genes in breast cancer.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE27020
Identification and validation of a multigene predictor of recurrence in primary laryngeal cancer.
  • organism-icon Homo sapiens
  • sample-icon 109 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background: Local recurrence is the major manifestation of treatment failure in patients with operable laryngeal carcinoma. Established clinicopathological factors cannot sufficiently predict patients that are likely to recur after treatment. Additional tools are therefore required to accurately identify patients at high risk for recurrence. Methods: Using Affymetrix U133A Genechips, we profiled fresh-frozen tumor tissues from 59 patients with operable laryngeal cancer. All patients were treated locally with surgery, with or without radiation therapy. We performed Cox regression proportional hazards modeling to identify multigene predictors of recurrence. The end-point of our analysis was disease-free survival (DFS). Gene models were directly validated in a separate, similarly treated cohort of 50 patients using Affymetrix chips. In an attempt to further validate our results, we profiled 12 selected genes of our model in formalin-fixed tumor tissues from an independent cohort of 75 patients, using quantitative real time-polymerase chain reaction (qRT-PCR). Results: We focused on genes univariately associated with DFS (p<0.05) in the training set. Among several gene models comprising different numbers of genes, a 30-gene model demonstrated optimal performance (log-rank, p<0.001). We directly applied these gene models to the validation set, after adjusting for non-biological experimental variability, and observed similar results. Specifically, median DFS, as predicted by the 30-gene model, was 34 and 80 months for high- and low-risk patients, respectively (p=0.01). Hazard Ratio (HR) for recurrence for the high-risk group was 3.87 (95% CI 1.28-11.73, p=0.017). Furthermore, unsupervised hierarchical clustering of the 75 patients, based on the qRT-PCR 12-gene profile, yielded two groups, which differed significantly in DFS (log-rank, p=0.027). HR= for recurrence was 2.26, (95% CI 1.08-4.76, p=0.031). Conclusion: We have established and validated gene models that can successfully stratify patients with laryngeal cancer, based on their risk for recurrence. Thus, patients with unfavorable prognosis, when accurately identified, could be ideal candidates for the application of more aggressive treatment modalities.

Publication Title

Identification and validation of a multigene predictor of recurrence in primary laryngeal cancer.

Sample Metadata Fields

Age, Specimen part, Disease stage

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accession-icon GSE94327
The redox-sensitive regulatory module of cyclophilin 20-3, 2-cysteine peroxiredoxin and cysteine synthase in the high light acclimation response in Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.0 ST Array (aragene10st)

Description

Previous data suggest that 2-cysteine peroxiredoxin, cyclophilin 20-3 and the cysteine synthase complex work as a dynamically interacting module (here named COPS-module) and are involved in stress response. In this study we performed global transcriptome analyses to investigate the responses to short-term high light in wildtype and mutants deficient in each protein of COPS-module.

Publication Title

The redox-sensitive module of cyclophilin 20-3, 2-cysteine peroxiredoxin and cysteine synthase integrates sulfur metabolism and oxylipin signaling in the high light acclimation response.

Sample Metadata Fields

Specimen part

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accession-icon GSE86068
Increasing of antitumor effect of decitabine against classical Hodgkin lymphoma (cHL) by targeting decitabine-activated pro-survival pathways
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We found that 5-Aza-dC/decitabine induces various prosurvival pathways (JAK-STAT-, NFkB-, MEK/ERK- and PI3K/AKTpathway) in cHL cell lines. Inhibition of these pathways with specific small molecular weight inhibitors potentiates the antitumor effect of 5-Aza-dC.

Publication Title

Activation of oncogenic pathways in classical Hodgkin lymphoma by decitabine: A rationale for combination with small molecular weight inhibitors.

Sample Metadata Fields

Cell line

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accession-icon GSE93047
Impact of the knock down of sulfite reductase on the transcriptome of Arabidopsis thaliana.
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Sulfite reductase (SiR) plays an essential role in the assimilatory sulfur reduction pathway by catalyzing the reduction of sulfite to sulfide. The T-DNA insertion mutant line sir1-1 shows lower amounts of SiR transcript, protein and lower activity and is severely affected in growth. In this study we performed global transcriptome analysis to investigate the impact of the mutation in the shoot of 7-week-old plants.

Publication Title

Sulfur availability regulates plant growth via glucose-TOR signaling.

Sample Metadata Fields

Age

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accession-icon GSE17129
The IKK2/NF-kB-pathway suppresses MYC-induced lymphomagenesis
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Abstract.

Publication Title

The IKK2/NF-{kappa}B pathway suppresses MYC-induced lymphomagenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE50019
Study of expression changes during RPS4-mediated resistance in Arabidopsis using a temperature-inducible system
  • organism-icon Arabidopsis thaliana
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Innate immune responses of plant cells confer the first line of defence against pathogens. Signals generated by activated receptors are integrated inside the cell and converge on transcriptional programmes in the nucleus. The Arabidopsis Toll-related intracellular receptor RPS4 operates inside nuclei to trigger resistance to Pseudomonas bacteria expressing AvrRps4 and defence gene reprogramming through the stress response regulator, EDS1.

Publication Title

Arabidopsis TNL-WRKY domain receptor RRS1 contributes to temperature-conditioned RPS4 auto-immunity.

Sample Metadata Fields

Specimen part

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accession-icon GSE51594
Expression data of human CD4 T cells with chronic or acute simian immunodeficiency virus (SIV) infection
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We compared gene expression profiles of a human CD4+ T-cell line 24 h after infection with a cell line of the same origin permanently releasing SIVmac251/32H. A new knowledge-based-network approach (Inter-Chain-Finder) was used to identify subnetworks leading to resistance to SIV-induced cell death. Notably, the method can identify not only differentially-expressed key hub genes but also non-differentially expressed, critical, hidden regulators.

Publication Title

Identification of molecular sub-networks associated with cell survival in a chronically SIVmac-infected human CD4+ T cell line.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE54120
Dusp9 expression and function in dendritic cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Plasmacytoid dendritic cells (pDC) efficiently produce large amounts of type I interferon in response to TLR7 and TLR9 ligands, whereas conventional DCs (cDC) predominantly secrete high levels of the cytokines IL-10 and IL-12. The molecular basis underlying this distinct phenotype is not well understood. Here, we identified the MAPK phosphatase Dusp9/MKP-4 by transcriptome analysis as selectively expressed in pDC, but not cDC. We confirmed the constitutive expression of Dusp9 at the protein level in pDC generated in vitro by culture with Flt3L and ex vivo in sorted splenic pDC. Dusp9 expression was low in B220- bone marrow precursors and was up-regulated during pDC differentiation, concomitant with established pDC markers. Higher expression of Dusp9 in pDC correlated with impaired phosphorylation of the MAPK ERK1/2 upon TLR9 stimulation. Notably, Dusp9 was not expressed at detectable levels in human pDC, although these displayed similarly impaired activation of ERK1/2 MAPK compared to cDC. Enforced retroviral expression of Dusp9 in mouse GM-CSF-induced cDC increased the expression of TLR7/9-induced IL-12p40 and IFNwhereas IL-10 levels were diminished. Taken together, our results suggest that the species-specific, selective expression of Dusp9 in murine pDC contributes to the differential cytokine/interferon output of pDC and cDC.

Publication Title

Selective Expression of the MAPK Phosphatase Dusp9/MKP-4 in Mouse Plasmacytoid Dendritic Cells and Regulation of IFN-β Production.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE72780
Intestinal epithelial cells from Crohn's Disease patients
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Inflammatory Bowel Diseases are associated with marked alterations of IECs with a subsequent loss of barrier function.

Publication Title

Rho-A prenylation and signaling link epithelial homeostasis to intestinal inflammation.

Sample Metadata Fields

Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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