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accession-icon GSE119067
Effect of Ikaros deletion on gene expression in CD4 T cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The goal of this experiment is to define how lack of Ikaros impacts gene expression in mature CD4 T cells, both in the resting and activated state. To do this, a conditional knockout mouse model was generated using Cre/lox technology. The floxed allele was designed such that the last translated exon and 3' UTR of the Ikaros gene (Ikzf1) are deleted in mature T cells (mediated by distal Lck-driven Cre). CD4 T cells from mice with floxed alleles that did not express Cre (Cre-) and those that did express Cre (Cre+) were analyzed.

Publication Title

Lack of Ikaros Deregulates Inflammatory Gene Programs in T Cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE76814
ECT2 and AURKB Modulate Formation of Stress Granules Containing Transcripts from Diverse Cellular Pathways in Astrocytoma Cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Stress granules are small RNA-protein granules that modify the translational landscape during cellular stress to promote survival. The RhoGTPase RhoA is implicated in the formation of RNA stress granules. Our data demonstrate that the cytokinetic proteins ECT2 and AurkB are localized to stress granules in human astrocytoma cells. AurkB and its downstream target histone-3 are phosphorylated during arsenite-induced stress. Chemical (AZD1152-HQPA) and siRNA inhibition of AurkB results in fewer and smaller stress granules when analyzed utilizing high throughput fluorescent based cellomics assays. RNA immunoprecipitation with the known stress granule aggregates TIAR and G3BP1 was performed on astrocytoma cells and subsequent analysis revealed that astrocytoma stress granules harbour unique mRNAs for various cellular pathways including cellular migration, metabolism, translation and transcriptional regulation. Human astrocytoma cell stress granules contain mRNA that are known to be involved in glioma signaling and the mTOR pathway. These data provide evidence that RNA stress granules are a novel form of epigenetic regulation in astrocytoma cells, which may be targetable by chemical inhibitors and enhance astrocytoma susceptiblity to conventional therapy such as radiation and chemotherapy.

Publication Title

Epithelial Cell Transforming 2 and Aurora Kinase B Modulate Formation of Stress Granule-Containing Transcripts from Diverse Cellular Pathways in Astrocytoma Cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE81145
The Somatic Landscape of Schwannoma
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

To identify the role of the SH3PXD2A-HTRA1 fusion on gene expression in Schwann cells

Publication Title

The genomic landscape of schwannoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE66787
Spinal Ependymoma Gene Expression Data
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Purpose: Myxopapillary ependymoma (MPE) is a distinct histological variant of ependymoma arising commonly in the spinal cord. Despite an overall favorable prognosis, distant metastases, subarachnoid dissemination, and late recurrences have been reported. Currently the only effective treatment for MPE is gross-total resection. We characterized the genomic and transcriptional landscape of spinal ependymomas in an effort to delineate the genetic basis of this disease and identify new leads for therapy.

Publication Title

Spinal Myxopapillary Ependymomas Demonstrate a Warburg Phenotype.

Sample Metadata Fields

Sex, Specimen part, Disease stage

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accession-icon GSE87830
In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 256 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE87829
In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma (95 MM lncRNA data sets)
  • organism-icon Homo sapiens
  • sample-icon 94 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.

Publication Title

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE106745
In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma (30 PCL lncRNA data sets)
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.

Publication Title

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE37302
Lenalidomide and Pomalidomide inhibit Multiple Myeloma-induced osteoclast formation and RANKL/OPG ratio in myeloma microenvironment targeting the expression of adhesion molecules.
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Multiple myeloma (MM)-induced osteoclast (OC) formation occurs in close contact with MM cell infiltration into the bone marrow (BM) due to the imbalance of the receptor activator of NF-kappa-B ligand (RANKL)/osteoprotegerin (OPG) ratio in favor of RANKL in the micorenvironment. Soluble factors including CCL3/MIP-1?, IL7 and IL-3 also contribute to the increased OC formation in MM.The immunomodulatory drugs (IMiDs) directly inhibit OCs, however their effect on the mechanisms involved in MM-induced OC formation are not known and have been investigated in this study. We found that both Lenalidomide (LEN) and Pomalidomide (POM), at concentration ranging reached in vivo, significantly blunted RANKL up-regulation normalizing the RANKL/OPG ratio in human BM osteoprogenitor cells (PreOBs) co-cultured with MM cells and inhibited CCL3/MIP-1? production by MM cells. The reduction of CD49d expression on MM cells, a molecule critically involved in RANKL up-regulation in the micorenvironment, accompanied this effect. Consistently the pro-osteoclastogenic property of the conditioned medium of MM cells co-cultured with PreOBs was reduced in the presence of both IMiDs. By microarray analysis we further investigated the effect of POM and LEN on the transcriptional profile of both MM cells and PreOBs. We found a significant down-regulation in MM cells, in addition to CD49d, of genes belonging to the adhesion molecules family such as ITGA8 and ICAM2 (CD102) induced by both IMiDs compounds. In conclusion our data suggest that POM and LEN inhibits MM-induced OC formation through the inhibition of RANKL/OPG ratio targeting the expression of adhesion molecules by MM cells.

Publication Title

Immunomodulatory drugs lenalidomide and pomalidomide inhibit multiple myeloma-induced osteoclast formation and the RANKL/OPG ratio in the myeloma microenvironment targeting the expression of adhesion molecules.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP113795
Deficiency in class III PI3-kinase induces intestinal epithelial damage and inflammatory bowel disease like phenotype in zebrafish
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

PIK3C3 and its product phosphatidylinositol 3-phosphate (PI(3)P) play critical roles in autophagy as well as vesicular trafficking. To fully compare the gene expression differences between wild-type and pik3c3 KO zebrafish, we performed RNAseq at 6dpf, 7dpf and 8dpf before mutant died. We found that homologs of barrier-function related human IBD susceptibility genes are suppressed while the inflammation response genes are stimulated in mutant, while genes involved in bacterial sensing and autophagy pathways are not affected. Thus, the pik3c3 mutant may serve as a valuable model for epithelial injury induced IBD. Overall design: mRNA profiles of wild type and pik3c3 KO zebrafish at indicated stages were generated by deep sequencing, using Illumina NextSeq500.

Publication Title

Deficiency in class III PI3-kinase confers postnatal lethality with IBD-like features in zebrafish.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE6401
Up-regulation of translational machinery and distinct genetic subgroups characterize hyperdiploidy in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 102 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Karyotypic instability, including numerical and structural chromosomal aberrations, represents a distinct feature of multiple myeloma (MM). 40-50% of patients displayed hyperdiploidy, defined by recurrent trisomies of non-random chromosomes. To characterize hyperdiploid (H) and nonhyperdiploid (NH) MM molecularly, we analyzed the gene expression profiles of 66 primary tumors, and used FISH to investigate the major chromosomal alterations. The differential expression of 225 genes mainly involved in protein biosynthesis, transcriptional machinery and oxidative phosphorylation distinguished the 28 H-MM from the 38 NH-MM cases. The 204 upregulated genes in H-MM mapped mainly to the chromosomes involved in hyperdiploidy, and the29% up-regulated genes in NH-MM mapped to 16q. The identified transcriptional fingerprint was robustly validated on a publicly available gene expression dataset of 64 MM cases; and the global expression modulation of regions on the chromosomes involved in hyperdiploidy was verified using a self-developed non-parametric statistical method. We showed that H-MM could be further divided into two distinct molecular and transcriptional entities, characterized by the presence of trisomy 11 and 1q-extracopies/chromosome 13 deletion, respectively. Our data reinforce the importance of combining molecular cytogenetics and gene expression profiling to define a genomic framework for the study of MM pathogenesis and clinical management.

Publication Title

Upregulation of translational machinery and distinct genetic subgroups characterise hyperdiploidy in multiple myeloma.

Sample Metadata Fields

Sex

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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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