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accession-icon SRP023259
Transcriptome Sequencing (RNA-seq) of Ara-C Resistant Murine AML Cell Lines Identifies Mechanisms of Resistance
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

An RNA-seq study of altered gene expression and mutations in Ara-C resistant acute myeloid leukemia murine cell lines. The analysis of the RNA-seq data led to the identification of a large deletion within the Dck coding sequence of the B117H cell line, which produced an alternatively processed form of Dck mRNA. The RNA-seq analysis also identified the presence of an insertion mutation in Dck in the B140H cell line. The RNA-seq analysis also identified a number of significant expression changes which did not appear in a previous microarray analysis (GSE18322), as well as identified other mutations which may be contributing to Ara-C resistance. Overall design: Two highly Ara-C resistant cell lines, B117H and B140H were derived from Ara-C sensitive parental cell lines, B117P and B140P. Variations in gene expression as well identification of acquired mutations between these Ara-C resistant/sensitive sets were studied using various RNA-seq analysis tools.

Publication Title

Using RNA-seq and targeted nucleases to identify mechanisms of drug resistance in acute myeloid leukemia.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP042212
Transcriptome Sequencing (RNA-seq) of Normal Human Osteoblasts
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Three normal human osteoblast samples, acquired from PromoCell, were used as controls to compare to RNA-seq data from prepublished osteosarcoma samples (submitted to the European Bioinformatics Institute; EGAS00001000263) for the purpose of evaluating expression levels of genes identified as common insertions sites in a Sleeping Beauty screen of osteosarcomas in mice. Overall design: Three normal human osteoblast samples (pellet form in RNAlater) were acquired from PromoCell (Heidelberg, Germany), and RNA was isolated from them immediately upon receipt.

Publication Title

A Sleeping Beauty forward genetic screen identifies new genes and pathways driving osteosarcoma development and metastasis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP167390
Next-gen RNA sequencing of Sleeping Beauty accelerated mouse brain tumors
  • organism-icon Mus musculus
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Expression profiling by high throughput sequencing Overall design: 23 Tumor samples were obtained from a Sleeping Beauty forward genetic screen and sequenced using Illumina HiSeq 2000

Publication Title

<i>Sleeping Beauty</i> Insertional Mutagenesis Reveals Important Genetic Drivers of Central Nervous System Embryonal Tumors.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE75883
Gene expression of CD11b+ and CD8+ spleen dendritic cells from NOD and B6 mice after in vivo CpG or PBS stimulation
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Spleen conventional dendritic cells from NOD mice show a lower overall response to CpG-A compared to B6 cDCs.

Publication Title

Despite Increased Type 1 IFN, Autoimmune Nonobese Diabetic Mice Display Impaired Dendritic Cell Response to CpG and Decreased Nuclear Localization of IFN-Activated STAT1.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE62163
Brassinosteroid-mediated gene expression changes in Arabidipsis during heat stress
  • organism-icon Arabidopsis thaliana
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Global analysis of brassinosteroid (BR)-mediated gene expression under abiotic stress identifies BR associated mechanisms of stress tolerance, and new stress-related genes

Publication Title

Gene expression and functional analyses in brassinosteroid-mediated stress tolerance.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE7820
Transcript and Proteomic Analyses of Wild-Type and GPA2 Mutant Saccharomyces cerevisiae Strains
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

In response to limited nitrogen and abundant carbon sources, diploid Saccharomyces cerevisiae strains undergo a filamentous transition in cell growth as part of pseudohyphal differentiation. Use of the disaccharide maltose as the principal carbon source, in contrast to the preferred nutrient monosaccharide glucose, has been shown to induce a hyper-filamentous growth phenotype in a strain deficient for GPA2 which codes for a Galpha protein component that interacts with the glucose-sensing receptor Gpr1p to regulate filamentous growth. In this report, we compare the global transcript and proteomic profiles of wild-type and Gpa2p deficient diploid yeast strains grown on both rich and nitrogen starved maltose media. We find that deletion of GPA2 results in significantly different transcript and protein profiles when switching from rich to nitrogen starvation media. The results are discussed with a focus on the genes associated with carbon utilization, or regulation thereof, and a model for the contribution of carbon sensing/metabolism-based signal transduction to pseudohyphal differentiation is proposed.

Publication Title

Transcript and proteomic analyses of wild-type and gpa2 mutant Saccharomyces cerevisiae strains suggest a role for glycolytic carbon source sensing in pseudohyphal differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6833
Hyperexpression and Downregulation of Melanotransferrin on Various Cell Lines
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 8 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

Identification of distinct changes in gene expression after modulation of melanoma tumor antigen p97 (melanotransferrin) in multiple models in vitro and in vivo.

Sample Metadata Fields

Cell line

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accession-icon GSE99361
A recombinant lentiviral PDGF-driven mouse model of proneural GBM
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina mouseref-8_v2_0_r3 expression beadchip

Description

Informed by the genetic alterations observed in human GBM, we engineered a novel, lentiviral injection mediated, mouse model of proneural GBM.

Publication Title

A recombinant lentiviral PDGF-driven mouse model of proneural glioblastoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE6815
Hyperexpression of Mouse Melanotransferrin on LMTK Cell Line
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Melanoma tumor antigen p97 or melanotransferrin (MTf) is an iron (Fe)-binding protein with high homology to serum transferrin. MTf is expressed at very low levels in normal tissues and in high amounts in melanoma cells. The over-expression of MTf in tumor cells was hypothesized to assist rapidly proliferating neoplastic cells with their increased Fe requirements. However, our recent characterization of the MTf knockout (MTf -/-) mouse demonstrated that MTf did not have an essential role in Fe metabolism. To understand the function of MTf, we utilized whole-genome microarray analysis to examine the gene expression profile of five models after modulating MTf expression. These models included two new stably transfected MTf hyper-expression models (SK-N-MC neuroepithelioma and LMTK- fibroblasts) and one cell type (SK-Mel-28 melanoma) where MTf was down-regulated by post-transcriptional gene silencing. These findings were compared to alterations in gene expression identified using the MTf -/- mouse. In addition, the changes identified from the gene array data were also assessed in a new model of MTf down-regulation in SK-Mel-2 melanoma cells. In the cell line models, MTf hyper-expression led to increased cellular proliferation, while MTf down-regulation resulted in decreased proliferation. Across all five models of MTf down- and up-regulation, we identified three genes modulated by MTf expression. These included ATP-binding cassette sub-family B member 5 (Abcb5), whose change in expression mirrored MTf down- or up-regulation. In addition, thiamine triphosphatase (Thtpa) and transcription factor 4 (Tcf4) were inversely expressed relative to MTf levels across all five models. The products of these three genes are involved in membrane transport, thiamine phosphorylation and cell proliferation/survival, respectively. This study identifies novel molecular targets directly or indirectly regulated by MTf and potential pathways involved in its function. These molecular targets could be involved, at least in part, to the role of MTf in modulating proliferation.

Publication Title

Identification of distinct changes in gene expression after modulation of melanoma tumor antigen p97 (melanotransferrin) in multiple models in vitro and in vivo.

Sample Metadata Fields

Cell line

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accession-icon GSE6817
Downregulation of Human Melanotransferrin on SK-Mel-28 Cell Line
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Melanoma tumor antigen p97 or melanotransferrin (MTf) is an iron (Fe)-binding protein with high homology to serum transferrin. MTf is expressed at very low levels in normal tissues and in high amounts in melanoma cells. The over-expression of MTf in tumor cells was hypothesized to assist rapidly proliferating neoplastic cells with their increased Fe requirements. However, our recent characterization of the MTf knockout (MTf -/-) mouse demonstrated that MTf did not have an essential role in Fe metabolism. To understand the function of MTf, we utilized whole-genome microarray analysis to examine the gene expression profile of five models after modulating MTf expression. These models included two new stably transfected MTf hyper-expression models (SK-N-MC neuroepithelioma and LMTK- fibroblasts) and one cell type (SK-Mel-28 melanoma) where MTf was down-regulated by post-transcriptional gene silencing. These findings were compared to alterations in gene expression identified using the MTf -/- mouse. In addition, the changes identified from the gene array data were also assessed in a new model of MTf down-regulation in SK-Mel-2 melanoma cells. In the cell line models, MTf hyper-expression led to increased cellular proliferation, while MTf down-regulation resulted in decreased proliferation. Across all five models of MTf down- and up-regulation, we identified three genes modulated by MTf expression. These included ATP-binding cassette sub-family B member 5 (Abcb5), whose change in expression mirrored MTf down- or up-regulation. In addition, thiamine triphosphatase (Thtpa) and transcription factor 4 (Tcf4) were inversely expressed relative to MTf levels across all five models. The products of these three genes are involved in membrane transport, thiamine phosphorylation and cell proliferation/survival, respectively. This study identifies novel molecular targets directly or indirectly regulated by MTf and potential pathways involved in its function. These molecular targets could be involved, at least in part, to the role of MTf in modulating proliferation.

Publication Title

Identification of distinct changes in gene expression after modulation of melanoma tumor antigen p97 (melanotransferrin) in multiple models in vitro and in vivo.

Sample Metadata Fields

Cell line

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)

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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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