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accession-icon SRP057629
Small molecule inhibition of ERK dimerization prevents tumorigenesis by Ras-ERK pathway oncogenes
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

About 50% of human malignancies exhibit unregulated signalling through the Ras-ERK1/2 (ERK) pathway, as a consequence of activating mutations in members of Ras and Raf families. However, the quest for alternative Ras-ERK pathway-directed therapies is desirable. Upon phosphorylation ERK dimerize. We had previously demonstrated that dimerization is essential for ERK extranuclear but not nuclear signaling. Furthermore, by molecular biology approaches, we showed that specifically inhibiting ERK extranuclear component, by impeding ERK dimerization, is sufficient for curtailing tumor progression. Here, we have identified a small molecule inhibitor for ERK dimerization in vitro and in vivo that, without affecting ERK phosphorylation, prevents tumorigenesis driven by Ras-ERK pathway oncogenes, both in cellular and animal models. Importantly, this compound is unaffected by resistance-acquisition processes that hamper “classical” Ras-ERK pathway inhibitors. Thus, ERK dimerization inhibitors provide the proof of principle for two novel concepts in cancer therapy: 1) The blockade of sublocalization-specific sub-signals, rather than total signals, as a means of effectively counteracting oncogenic Ras-ERK signaling. 2) Targeting regulatory protein-protein interactions such as dimerization, rather than catalytic activities, within a signaling route, as an approach for producing effective anti-tumoral agents. Strategies aimed at preventing aberrant flux through this route remain an attractive option for therapeutic intervention in cancer. In this respect, drugs inhibiting the kinase activities of BRaf and MEK have yielded promising results. Overall design: A375p cells treated with10 µM of either DEL22379, SCH772984 or DMSO as a control for two hours. mRNA from A375p cells was extrated using RNeasy mini kit (Qiagen, Germany) according to the manufacturer''s instructions. Cells were previously treated with10 µM of either DEL22379, SCH772984 or DMSO as a control for two hours.

Publication Title

Small Molecule Inhibition of ERK Dimerization Prevents Tumorigenesis by RAS-ERK Pathway Oncogenes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21598
Identification of differentially expressed genes between developing seeds of different soybean cultivars
  • organism-icon Glycine max
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

Soybean is a rich source of protein and oil and a primary feedstock for biodiesel production. Previous research on soybean indicated that protein, oil and yield are controlled quantitatively in soybean seeds. However, genetic mechanisms controlling seed composition and yield in soybean remain unknown. We used Affymetrix Soybean GeneChips to identify genes that are differentially expressed between developing seeds of the Minsoy and Archer soybean varieties, which differ in seed weight, yield, protein content and oil content. Some of the differentially expressed genes identified in this study may play important roles in controlling these traits.

Publication Title

Identification of differentially expressed genes between developing seeds of different soybean cultivars.

Sample Metadata Fields

Specimen part

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accession-icon GSE43290
Expression data from meningiomas and normal meninges
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Correlate the gene expression profiles with the most relevant patterns of chromosome abnormalities (cytogenetic subgroups of meningiomas) and the gene expression profiles could help to explain the differences in clinical behaviour of meningiomas.

Publication Title

Gene expression profiles of meningiomas are associated with tumor cytogenetics and patient outcome.

Sample Metadata Fields

Sex, Age, Disease stage

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accession-icon GSE43289
Gene expression profiles of gliomas with Affymetrix Human Genome U133 Plus 2.0 Array
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Correlate the gene expression profiles with the most relevant patterns of chromosome abnormalities (cytogenetic subgroups of gliomas) and the histopathology.

Publication Title

Gene expression profiles of human glioblastomas are associated with both tumor cytogenetics and histopathology.

Sample Metadata Fields

Sex, Age, Disease stage

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accession-icon GSE33020
CD20 positive cells are undetectable in the majority of multiple myeloma cell lines and are not associated with a cancer stem cell phenotype
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Although new therapies have doubled the survival of multiple myeloma (MM) patients, this remains an incurable disease. It has been postulated that the so-called MM Cancer Stem Cells (MM-CSC) would be responsible for tumor initiation and relapse but their unequivocal identification remains unclear. Here, we investigated in a panel of MM cell lines the presence of CD20+ cells harboring a MM-CSC phenotype. Among the multiple cell lines investigated, only a small population of CD20dim+ cells (0.3%) in the RPMI-8226 cell line was found. CD20dim+ RPMI-8226 cells expressed the plasma cell markers CD38 and CD138 and were CD19-CD27-. Additionally, CD20dim+ RPMI-8226 cells did not exhibit stem-cell markers as shown by gene expression profiling and the aldehyde dehydrogenase (ALDH) assay. Moreover, we demonstrated that CD20dim+ RPMI-8226 cells are not essential for CB17-SCID mice engraftment and show lower self-renewal potential than the CD20- RPMI-8226 cells. These results do not support CD20+ expression for the identification of MM-CSC.

Publication Title

CD20 positive cells are undetectable in the majority of multiple myeloma cell lines and are not associated with a cancer stem cell phenotype.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12488
Involvement of hCMV in the ontogeny of CD4+ T-LGL
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Recent studies suggest the potential involvement of common antigenic stimuli on the ontogeny of monoclonal TCRalphabeta+/CD4+/NKa+/CD8-/+dim T-large granular lymphocyte (LGL) lymphocytosis. Since healthy individuals show (oligo)clonal expansions of hCMV-specific TCRVbeta+/CD4+/cytotoxic/memory T-cells, we investigate the potential involvement of hCMV in the origin and/or expansion of monoclonal CD4+ T-LGL. A detailed characterization of those genes that underwent changes in T-LGL cells responding to hCMV was performed by microarray gene expression profile (GEP) analysis.

Publication Title

Expanded cells in monoclonal TCR-alphabeta+/CD4+/NKa+/CD8-/+dim T-LGL lymphocytosis recognize hCMV antigens.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE81582
Genomic characterization of liver metastases from colorectal cancer patients
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene Expression Array (primeview)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genomic characterization of liver metastases from colorectal cancer patients.

Sample Metadata Fields

Sex, Age, Disease, Disease stage

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accession-icon GSE62529
Infection exposure is a causal factor in B-precursor acute lymphoblastic leukemia as a result of Pax5 inherited susceptibility
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to investigate gene expression changes in tumor-bearing Pax5+/- mice

Publication Title

Infection Exposure is a Causal Factor in B-cell Precursor Acute Lymphoblastic Leukemia as a Result of Pax5-Inherited Susceptibility.

Sample Metadata Fields

Specimen part

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accession-icon GSE154589
Inhibition of Inflammatory Signaling in Pax5 Mutant Cells Mitigates B-cell leukemogenesis against leukemia
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to investigate gene expression changes in healthy and leukemic cells from Pax5+/- and IL6+/-;Pax5+/- mice in CF and SPF housing conditions.

Publication Title

Inhibition of inflammatory signaling in Pax5 mutant cells mitigates B-cell leukemogenesis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE45717
Expression data from MALD1 and MCL cases
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon (ffymetrixhumanexon1.0starray[cdf:huex10stv2,corer3,a20071112,ep)

Description

Patients with conventional mantle cell lymphoma (MCL) show an aggressive clinical behavior. However, cases fulfilling the WHO criteria for MCL, but that remain asymptomatic without treatment, have been reported. In an attempt to understand this heterogeneity, we have compared 17 typical cases of MCL with a homogeneous group of 13 asymptomatic individuals with monoclonal expansion of t(11;14)(q13;q32) cyclin D1-positive B-cells in peripheral blood (MALD1). None of these cases have received treatment (minimum follow-up of 26 months; median, 71 months).

Publication Title

Distinction between asymptomatic monoclonal B-cell lymphocytosis with cyclin D1 overexpression and mantle cell lymphoma: from molecular profiling to flow cytometry.

Sample Metadata Fields

Specimen part

View Samples

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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