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accession-icon GSE13046
Microarray analysis of Huh7 cells treated with IFNa2, OSM or IFNa2 combined with OSM
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

OSM increases the antiviral effect of IFN in Huh7 cells infected with hepatitis A virus (HAV) or HCV replicon and synergizes with IFN in the induction of antiviral genes

Publication Title

Oncostatin M enhances the antiviral effects of type I interferon and activates immunostimulatory functions in liver epithelial cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE72099
Genome-wide analysis reveals conserved transcriptional responses downstream of resting potential change in Xenopus embryos, axolotl regeneration, and human mesenchymal cell differentiation
  • organism-icon Homo sapiens, Ambystoma mexicanum, Xenopus laevis
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome 2.0 Array (xlaevis2), Illumina HumanWG-6 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide analysis reveals conserved transcriptional responses downstream of resting potential change in Xenopus embryos, axolotl regeneration, and human mesenchymal cell differentiation.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE16485
Expression data from macaque taste buds and lingual epithelium
  • organism-icon Macaca fascicularis
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

Efforts to unravel the mechanisms underlying taste sensation (gustation) have largely focused on rodents. The first comprehensive database of gene expression in primate (Macaca fascicularis) taste buds is presented. This database provides a foundation for further studies in diverse aspects of taste biology. A taste bud gene expression database was generated using laser capture microdissection (LCM) of tissue freeze medium OTC embedded macaque tongue tissue blocks. We collected fungiform (FG) taste buds at the front of the tongue, circumvallate (CV) taste buds at the back of the tongue, as well as non-gustatory lingual epithelium (LE). Gene expression was also analyzed in the top and bottom portions of CV taste buds collected using LCM. Samples were collected from 10 animals - 7 female, 3 male.

Publication Title

Genome-wide analysis of gene expression in primate taste buds reveals links to diverse processes.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE78016
Analysis of genes regulated by AS2 and RH10 at 22, 26C
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

AS2 encodes a protein containing AS2 domain and epigenetically regulate transcription. RH10 encodes an ortholog of human DEAD-box RNA helicase DDX47. These genes are involved in the formation of axes of leaves of Arabidopsis thaliana. To know the gene regulation in the leaf development, expression profile among wild-type, as2, rh10 and as2 rh10 double mutant plants were compared.

Publication Title

A genetic link between epigenetic repressor AS1-AS2 and a putative small subunit processome in leaf polarity establishment of Arabidopsis.

Sample Metadata Fields

Specimen part

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accession-icon SRP055411
Oncogenic MYC induces a dependency on the spliceosome in human cancer
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

c-MYC (MYC) overexpression or hyperactivation is one of the most common drivers of human cancer. Despite intensive study, the MYC oncogene remains recalcitrant to therapeutic inhibition. Like other classic oncogenes, hyperactivation of MYC leads to collateral stresses onto cancer cells, suggesting that tumors harbor unique vulnerabilities arising from oncogenic activation of MYC. Herein, we discover the spliceosome as a new target of oncogenic stress in MYC-driven cancers. We identify BUD31 as a MYC-synthetic lethal gene, and demonstrate that BUD31 is a splicing factor required for the assembly and catalytic activity of the spliceosome. Core spliceosomal factors (SF3B1, U2AF1, and others) associate with BUD31 and are also required to tolerate oncogenic MYC. Notably, MYC hyperactivation induces an increase in total pre-mRNA synthesis, suggesting an increased burden on the core spliceosome to process pre-mRNA. In contrast to normal cells, partial inhibition of the spliceosome in MYC-hyperactivated cells leads to global intron retention, widespread defects in pre-mRNA maturation, and deregulation of many essential cell processes. Importantly, genetic or pharmacologic inhibition of the spliceosome in vivo impairs survival, tumorigenicity, and metastatic proclivity of MYC-dependent breast cancers. Collectively, these data suggest that oncogenic MYC confers a collateral stress on splicing and that components of the spliceosome may be therapeutic entry points for aggressive MYC-driven cancers. Overall design: Examination of intron rentention in MYC-ER HMECs, in 4 conditions

Publication Title

The spliceosome is a therapeutic vulnerability in MYC-driven cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE70399
Phenotypic and genomic analysis of multiple myeloma minimal residual disease clonal plasma cells: a new model to understand chemoresistance
  • organism-icon Homo sapiens
  • sample-icon 14 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

Phenotypic and genomic analysis of multiple myeloma minimal residual disease tumor cells: a new model to understand chemoresistance.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE70398
Phenotypic and genomic analysis of multiple myeloma minimal residual disease clonal plasma cells: a new model to understand chemoresistance [HuGene-1_0 Expression]
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Persistence of chemoresistant minimal residual disease (MRD) plasma cells (PCs) relates to inferior survival in multiple myeloma (MM). MRD PCs are therefore a minor clone able to recapitulate the initial tumor burden at relapse and accordingly, its characterization may represent a unique model to understand chemoresistance; unfortunately, the MRD clone has never been biologically investigated. Here, we compared the antigenic profile of MRD vs. diagnostic clonal PCs in 40 elderly MM patients enrolled in the GEM2010MAS65 study, and showed that the MRD clone is enriched by cells over-expressing integrins (CD11a/CD11c/CD29/CD49d/CD49e), chemokine receptors (CXCR4) and adhesion molecules (CD44/CD54). Genetic profiling of MRD vs. diagnostic PCs showed identical copy number alterations (CNAs) in 3/8 cases, 2 patients with linear acquisition of additional CNAs in MRD clonal PCs, and 3 cases with variable acquisition and loss of CNAs over time. The MRD clone showed significant downregulation of genes particularly related to protein processing in endoplasmic reticulum, as well as novel deregulated genes such as ALCAM that is prognostically relevant in MM and identifies chemoresistant PCs in vitro. Together, we show that therapy-induced clonal selection is already present at the MRD stage, in which chemoresistant PCs show a specific phenotypic signature that may result from the persistence of clones with different genetic and gene expression profiles.

Publication Title

Phenotypic and genomic analysis of multiple myeloma minimal residual disease tumor cells: a new model to understand chemoresistance.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon SRP145457
In situ transcriptome characteristics are lost following culture adaptation of adult cardiac stem cells (Smart-Seq2 scRNA-seq)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Single-cell RNA-seq (Smart-Seq2) to profile of cardiac progenitor cells Overall design: Transcriptional profiling of cultured CPCs was performed by scRNA-Seq approaches using Smart-Seq2 technology

Publication Title

In situ transcriptome characteristics are lost following culture adaptation of adult cardiac stem cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP175072
Safety profiling of genetically engineered Pim-1 kinase overexpression for oncogenicity risk in human c-kit+ cardiac interstitial cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Bulk RNA-seq to profile of c-kit+ cardiac interstitial cells, comparing the transcriptomes of Pim-1 enhanced cardiac progenitor cells and transfection control Overall design: Transcriptional profiling of Pim-1 enhanced human derived cardiac interstitial cells by bulk RNA-Seq

Publication Title

Safety profiling of genetically engineered Pim-1 kinase overexpression for oncogenicity risk in human c-kit+ cardiac interstitial cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP167429
Tetraploidy in Rodent Cardiac Stem Cells Confers Enhanced Biological Properties
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single-cell RNA-seq (10X Genomics Chromium) to profile of cardiac progenitor cells, comparing the transcriptomes of diploid and tetraploid cardiac progenitor cells Overall design: Transcriptional profiling of diploid and tetraploid CPCs by scRNA-Seq approaches using 10X Genomics Chromium

Publication Title

Cardiac interstitial tetraploid cells can escape replicative senescence in rodents but not large mammals.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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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)

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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