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accession-icon GSE54582
Transcriptomic analysis of mammary tumors from MMTV-ErbB2 transgenic mice
  • organism-icon Mus musculus
  • sample-icon 222 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The tyrosine kinase ErbB2 positive breast tumors have more aggressive tumor growth, poorer clinical outcome, and more resistance to radiotherapy, chemotherapy and hormone therapy. A humanized anti-ErbB2 monoclonal antibody Herceptin and a small molecules inhibitor Lapatinib were developed and approved by FDA to treat patients with ErbB2 amplification and overexpression. Unfortunately, most ErbB2+ breast cancers do not respond to Herceptin and Lapatinib, and the majority of responders become resistant within 12 months of initial therapy (defined as secondary drug resistance). Such differences in response to Lapatinib treatment is contributed by substantial heterogeneity within ErbB2+ breast cancers. To address this possibility, we carried out transcriptomic analysis of mammary tumors from genetically diverse MMTV-ErbB2 mice. This will help us to have a better understanding of the heterogeneous response to ErbB2 targeted therapy and permit us to design better and more individualized (personalized) treatment strategies for human ErbB2 positive breast cancer.

Publication Title

Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach.

Sample Metadata Fields

Specimen part

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accession-icon GSE26104
Search for specific biomarkers of IFN-beta bioactivity in patients with MS
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We aimed to identify specific biomarkers of IFN-beta bioactivity in order to compare their gene expression induction by type I IFNs with the MxA, and to investigate their potential role in MS pathogenesis. Gene expression microarrays were performed in PBMC from MS patients who developed neutralizing antibodies (NAB) to IFN-beta. Nine genes followed patterns in gene expression over time similar to the MX1 and were selected for further experiments: IFI6, IFI27, IFI44L, IFIT1, HERC5, LY6E, RSAD2, SIGLEC1, and USP18. In vitro experiments revealed specific induction of selected biomarkers by IFN-beta but not IFN-gamma, and several markers, in particular USP18 and HERC5, were significantly induced at lower IFN-beta concentrations and more selective than the MX1 as biomarkers of IFN-beta bioactivity. In addition, USP18 expression was deficient in MS patients compared with healthy controls (p=0.0004). We propose specific biomarkers that may be considered in addition to the MxA to evaluate IFN-beta bioactivity, and to further explore their implication in MS pathogenesis.

Publication Title

Search for specific biomarkers of IFNβ bioactivity in patients with multiple sclerosis.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Treatment, Subject, Time

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accession-icon GSE51044
Gamma-secretase inhibitor plus fludarabine in CLL
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Combination of GSI with fludarabine has a synergistic antileukemic effect in primary NOTCH1-mutated CLL cells

Publication Title

The γ-secretase inhibitor PF-03084014 combined with fludarabine antagonizes migration, invasion and angiogenesis in NOTCH1-mutated CLL cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE54158
Gene expression profiling of Follicular Lymphoma (FL) cultured in the presence or absence of the Follicular Dendritic Cell (FDC) line HK
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Cells from 2 FL patients and 1 FL cell line were cultured for up to 48h, with no stroma or on top of HK cells pre-establised layers. RNA from FL cells was isolated after 24 and 48h of culture

Publication Title

Disruption of follicular dendritic cells-follicular lymphoma cross-talk by the pan-PI3K inhibitor BKM120 (Buparlisib).

Sample Metadata Fields

Cell line, Time

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accession-icon GSE34763
SOX11 Gene Expression Profiling
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The neural transcription factor SOX11 is overexpressed in aggressive lymphoid neoplasms mainly in mantle cell lymphoma (MCL), but its functional role in malignant B-cells is unknown. To identify target genes transcriptionally regulated by SOX11 in malignant lymphoid cells, we have used Gene Expression Profiling (GEP) after SOX11 silencing in MCL cell lines.

Publication Title

SOX11 regulates PAX5 expression and blocks terminal B-cell differentiation in aggressive mantle cell lymphoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE60082
Effective sorafenib treatment response in a panel of genomically-characterized malignant peripheral nerve sheath tumor orthoxenograft models
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background: Malignant peripheral nerve sheath tumors (MPNST) are soft-tissue sarcomas that can arise either sporadically or in association with neurofibromatosis type 1 (NF1). These aggressive malignancies confer poor survival, with no effective therapy available.

Publication Title

Comprehensive establishment and characterization of orthoxenograft mouse models of malignant peripheral nerve sheath tumors for personalized medicine.

Sample Metadata Fields

Disease

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accession-icon GSE60992
Cells released from Staphylococcus epidermidis biofilms interact differently from biofilm or planktonic cells with murine host immune system.
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

S. epidermidis ability to form biofilms on indwelling medical devices and its association with the emergence of chronic infections is its main virulence factor. Nevertheless, it has been shown that the cells released from these biofilms are associated with the advent of serious acute infections with bacteraemia as one of the major clinical manifestations. Despite their clinical relevance, very little is known about the impact of biofilm-released cells in pathogenesis. Hence, herein, we characterized the murine immune response to the presence of cells released from S. epidermidis biofilms analysing spleen cells transcriptome by microarrays. These findings may help to explain the recurrent inflammatory symptoms presented by patients with colonization of indwelling medical devices.

Publication Title

<i>Staphylococcus epidermidis</i> Biofilm-Released Cells Induce a Prompt and More Marked <i>In vivo</i> Inflammatory-Type Response than Planktonic or Biofilm Cells.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE38829
Expression data from MCF7 and MCF7-LTED cells treated with YC-1
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

To identify novel therapeutic opportunities for patients with acquired resistance to endocrine treatments in breast cancer, we applied a high-throughput drug screen. The IC50 values were determined for MCF7 and MCF7-LTED cells.

Publication Title

VAV3 mediates resistance to breast cancer endocrine therapy.

Sample Metadata Fields

Cell line

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accession-icon GSE49641
Expression data from peripheral blood in pancreatic ductal adenocarcinoma (PDAC) patients
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The presence of some malignancies, such as cancer, impacts on peripheral blood mononuclear cells (PBMCs) gene expression profiling, suggesting the potential suitability of these genes as diagnostic and prognostic markers.

Publication Title

Transcriptional profiling of peripheral blood in pancreatic adenocarcinoma patients identifies diagnostic biomarkers.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE17922
Immunomodulatory effect of 5-azacytidine (5-azaC): potential role in the transplantation setting.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Cytokine genes are targets of multiple epigenetic mechanisms in T lymphocytes. 5-azacytidine (5-azaC) is a nucleoside-based DNA methyltransferases (DNMT) inhibitor which induces demethylation and gene reactivation. In the current study, we analyzed the effect of 5-azaC in T-cell function and observed that 5-azaC inhibits T-cell proliferation and activation, blocking cell cycle in G0-G1 phase and decreasing the production of proinflammatory cytokines such as TNF and IFN. This effect was not due to a pro-apoptotic effect of the drug but to the down-regulation of genes involved in T-cell cycle progression and activation such as CCNG2, MTCP1, CD58, and ADK and up-regulation of genes which induce cell growth arrest, such as DCUN1D2, U2AF2, GADD45B or p53. In spite of being also up-regulated, we did not find any effect of 5-azaC on the methylation pattern of FOXP3. Finally, the administration of 5-azaC at 60 and 84 hours post-transplant prevented the development of GVHD leading to a significant increase in survival in a fully mismatched BMT mouse model. In conclusion, the current study shows the effect of 5-azaC in T-lymphocytes and illustrates its role in the allogeneic transplantation setting as an immunomodulatory drug, describing new pathways which must be explored in order to prevent graft-versus-host disease.

Publication Title

Immunomodulatory effect of 5-azacytidine (5-azaC): potential role in the transplantation setting.

Sample Metadata Fields

Specimen part, Treatment, Time

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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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