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accession-icon GSE29962
Nutrient-dependent growth of NIH3T3 and NIH3T3 K-ras cell lines.
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Expression profiling of normal NIH3T3 and transformed NIH3T3 K-ras cell lines grown for 72 hours in optimal glucose availability (25 mM glucose) or low glucose availability (1 mM). Low glucose induces apoptosis in transformed cells as compared to normal ones.

Publication Title

Oncogenic K-Ras decouples glucose and glutamine metabolism to support cancer cell growth.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE20368
1q gain clinical impact in Ewing's Sarcoma: role of DTL
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

1q gain and CDT2 overexpression underlie an aggressive and highly proliferative form of Ewing sarcoma.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Cell line

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accession-icon GSE20357
Expression data from DTL silenced-Ewing Sarcoma's cell lines along with their controls
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The 1q gain is related to poor survival, and to a profile of cell cycle deregulation in Ewing's Sarcoma (ES). Tumor samples with 1q gain overexpress the gene DTL.

Publication Title

1q gain and CDT2 overexpression underlie an aggressive and highly proliferative form of Ewing sarcoma.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE142625
SUV39H1 regulates human colon carcinoma apoptosis and cell cycle to promote tumor growth
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Transcriptional profiling of histone methyltransferase SUV39H1-selective small molecule inhibitor F5446-induced genes in human colon carcinoma cells. Tumor cells were treated with F5446 for 48h and used for RNA isolation. The treated cells were compared to untreated control cells. The objective is to identify genes that are regulated by H3K9me3 in the metastatic human colon carcinoma cells.

Publication Title

SUV39H1 regulates human colon carcinoma apoptosis and cell cycle to promote tumor growth.

Sample Metadata Fields

Treatment

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accession-icon SRP039628
Bmi1 defines long-term adult cardiac stem cells in heart homeostasis and repair
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We have found the existence of a Bmi1+ population in the adult heart contributing to the organ low-rate turnover and repair with the generation of new cardiomyocytes. We show that the Bmi1+ population is a sub-population of the cardiac Sca-1+ progenitor cells. We have analyzed the gene profile by deep-sequencing (RNA-Seq) of Bmi1+ and Sca-1+Bmi1- cells in homeostatic heart condition. On the other hand, we have compared gene profile by deep-sequencing (RNA-Seq) of Bmi1+ cells in homeostatic condition versus Bmi1+ cells 5 days after myocardial infarction (MI). Analysis of RNA-Seq data revealed a differential expression signature between both subsets of cardiac stem/progenitors cells in homeostatic condition and also differences between Bmi1+ cells after AMI versus homeostatic condition. Overall design: Examination of gene profile of 2 different cardiac stem /progenitors subsets (Bmi1+ and Sca-1+Bmi1-) co-existing inthe adult heart under steady state. Examination of gene profile of Bmi1+ cardiac stem cells in homeostatic condition versus MI

Publication Title

Age-related oxidative stress confines damage-responsive Bmi1<sup>+</sup> cells to perivascular regions in the murine adult heart.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP038992
Ribosomal footprinting and RNASeq in two strains of yeast and their diploid hybrid
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Heritable differences in gene expression between individuals are an important source of phenotypic variation. The question of how closely the effects of genetic variation on protein levels mirror those on mRNA levels remains open. Here, we addressed this question by using ribosomal footprinting to examine how genetic differences between two strains of the yeast S. cerevisiae affect translation. Strain differences in translation were observed for hundreds of genes, more than half as many as showed genetic differences in mRNA levels. Similarly, allele specific measurements in the diploid hybrid between the two strains found roughly half as many cis-acting effects on translation as were observed for mRNA levels. In both the parents and the hybrid, strong effects on translation were rare, such that the direction of an mRNA difference was typically reflected in a concordant footprint difference. The relative importance of cis and trans acting variation on footprint levels was similar to that for mRNA levels. Across all expressed genes, there was a tendency for translation to more often reinforce than buffer mRNA differences, resulting in footprint differences with greater magnitudes than the mRNA differences. Finally, we catalogued instances of premature translation termination in the two yeast strains. Overall, genetic variation clearly influences translation, but primarily does so by subtly modulating differences in mRNA levels. Translation does not appear to create strong discrepancies between genetic influences on mRNA and protein levels. Overall design: Ribsosomal footprinting and RNASeq in the two yeast strains BY and RM as well as their diploid hybrid. We generated one library each for the BY and RM parents, and two libraries (biological replicates) for the hybrid data.

Publication Title

Genetic influences on translation in yeast.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP121892
Chicken telencephalon RNAseq
  • organism-icon Gallus gallus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Embryonic chicken telencephalon nuclei were isolated for RNAseq to identify transcripts differentially expressed across different brain regions.

Publication Title

Neocortical Association Cell Types in the Forebrain of Birds and Alligators.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE84713
Gene expression data from head and neck cancer patient derived xenografts
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Head and neck cancer is a hetergeneous disease. Based on previoulsy defined molecular subtypes we associated gene expression with response to different compounds. We used microarry gene expression for molecular subtyping

Publication Title

Basal subtype is predictive for response to cetuximab treatment in patient-derived xenografts of squamous cell head and neck cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP161949
Profiling of gene expression using RNA-Seq in fibroblasts, iPSCs, iPSC-derived neurons and cells overexpressing Onecut transcription factors
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Remodeling of chromatin accessibility is necessary for successful reprogramming of fibroblasts to neurons. However, it is still not fully known which transcription factors can induce a neuronal chromatin accessibility profile when overexpressed in fibroblasts. To identify such transcription factors, we here used ATAC-sequencing to generate differential chromatin accessibility profiles between human fibroblasts and iNeurons, an in vitro neuronal model system obtained by overexpression of Neurog2 in induced pluripotent stem cells (iPSCs). We found that the ONECUT transcription factor sequence motif was strongly associated with differential chromatin accessibility between iNeurons and fibroblasts. All three ONECUT transcription factors associated with this motif (ONECUT1, ONECUT2 and ONECUT3) induced neuronal morphology and expression of neuronal genes within two days of overexpression in fibroblasts. We observed widespread remodeling of chromatin accessibility; in particular, we found that chromatin regions that contain the ONECUT motif were in- or lowly accessible in fibroblasts and became accessible after the overexpression of ONECUT1, ONECUT2 or ONECUT3. There was substantial overlap with iNeurons, still, many regions that gained accessibility following ONECUT overexpression were not accessible in iNeurons. Our study highlights the potential of ONECUT transcription factors for direct neuronal reprogramming. Overall design: Each RNA-Seq experiment was performed in duplicate (library constructed from different wells of the same cell line in the same cell culture experiment). Bclxl controls were generated for the overexpression. experiments.

Publication Title

ONECUT transcription factors induce neuronal characteristics and remodel chromatin accessibility.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE17348
Effects of prostate cancer cells on osteoblasts
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Primary murine osteoblasts were isolated form the calvariae of newborn mice. 10 days after the addition of ascorbic acid (50 g/ml) and -glycerophosphate (10 mM), cells were serum-starved over night and then incubated for 6 hours with condtioned medium of MDA-PCa2b cells or conditioned medium of PC-3 cells

Publication Title

Osteolytic prostate cancer cells induce the expression of specific cytokines in bone-forming osteoblasts through a Stat3/5-dependent mechanism.

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)

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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