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accession-icon E-MEXP-1287
Transcription profiling by array of Drosophila melanogaster inoculated with P.aeruginosa or mechanically injured to investigate the skeletal muscle regulatory network in response to wound infection following trauma
  • organism-icon Drosophila melanogaster
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Effect of injury and Pseudomonas aeruginosa inoculation in Drosophila melanogaster

Publication Title

Involvement of skeletal muscle gene regulatory network in susceptibility to wound infection following trauma.

Sample Metadata Fields

Sex, Time

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accession-icon GSE48600
Microarray expression analysis of wild type and Erg knockdown bone marrow hematopoietic stem and progenitor cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Erg is an ETS family transcription factor frequently overexpressed in human leukemias and has been implicated as a key regulator of hematopoietic stem cells (HSCs). However how Erg controls normal hematopoiesis, particularly at the stem cell level, remains poorly understood. Using homologous recombination, we generated an Erg knockdown allele (Ergkd) in which Erg expression can be restored upon Cre-mediated excision of a Stopper cassette. In Ergkd/+ mice, ~40% reduction in Erg dosage perturbed both fetal liver and bone marrow hematopoiesis by reducing the numbers of Lin-Sca-1+c-Kit+ (LSK) hematopoietic stem and progenitor cells (HSPCs) and megakaryocytic progenitors.

Publication Title

Reduced Erg Dosage Impairs Survival of Hematopoietic Stem and Progenitor Cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE109941
Lungs from mice infected with S. pneumoniae and treated with Nemiralisib
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Bacterial infections cause exaserbations in COPD. Study conducted to asses the effect of Nemiralisib, a PI3Kdelta inhibitor, on S. pneumoniae infected mice

Publication Title

PI3Kδ hyper-activation promotes development of B cells that exacerbate Streptococcus pneumoniae infection in an antibody-independent manner.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE39388
Distinct transcriptional programs controlled by ERG and ETV1 in prostate cells
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 39 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

ETV1 directs androgen metabolism and confers aggressive prostate cancer in targeted mice and patients.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE39354
Expression profiling of human prostate VCaP and LNCaP cancer cells after silencing ERG or ETV1, respectively
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Chromosomal rearrangements involving ETS factors, ERG and ETV1, occur frequently in prostate cancer. We here examine human prostate cancer cells control VCaP and LNCaP cells with ERG- or ETV1-silenced VCaP or LNCaP cells, respectively, in hormone deprived and stimulated conditions.

Publication Title

ETV1 directs androgen metabolism and confers aggressive prostate cancer in targeted mice and patients.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE39353
Expression profiling of human prostate non-tumorigenic RWPE-1 cells after overexpressing ERG and ETV1, and ERG and ETV1 silencing on prostate cancer cells LNCaP and VCaP, respectively
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Chromosomal rearrangements involving ETS factors, ERG and ETV1, occur frequently in prostate cancer. We here examine human prostate non-tumorigenic RWPE-1 cells with ERG- or ETV1-expressing stable RWPE-1 cell.

Publication Title

ETV1 directs androgen metabolism and confers aggressive prostate cancer in targeted mice and patients.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE39355
Expression profiling of mouse primary prostate luminal cells from WT and T-ETV1 mice, which contains human ETV1 cDNA under the endogenous Tmprss2 promoter.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Chromosomal rearrangements involving ETS factors, ERG and ETV1, occur frequently in prostate cancer. We here examine mouse prostate cells from WT mice with s with T-ETV1 mice, which contains express the truncated human ETV1 under the endogenous Tmprss2 promoter. ETV1 expression can be tracked by GFP expression.

Publication Title

ETV1 directs androgen metabolism and confers aggressive prostate cancer in targeted mice and patients.

Sample Metadata Fields

Specimen part

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accession-icon GSE148871
Samples from exacerbating COPD subjects before and after treatment with nemiralisib
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To study the effects of treatment with an inhaled PI3Kδ inhibitor during recovery from an exacerbation of Chronic Obstructive Pulmonary Disease (COPD) due to corrective effects on neutrophils that display dysregulated migration characteristics. We aimed to develop novel induced sputum endpoints to demonstrate changes in neutrophil phenotype and proof of mechanism of action in the lung.

Publication Title

Exploring PI3Kδ Molecular Pathways in Stable COPD and Following an Acute Exacerbation, Two Randomized Controlled Trials.

Sample Metadata Fields

Sex, Specimen part, Treatment, Subject

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accession-icon SRP149374
RNA sequencing of bone marrow CD34+ hematopoietic stem and progenitor cells from patients with myelodysplastic syndrome and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 765 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

SF3B1, SRSF2 and U2AF1 are the most frequently mutated splicing factor genes in MDS. We have performed a comprehensive analysis to determine the impact of these commonly mutated splicing factors on pre-mRNA splicing in the stem/progenitor cells and in the erythroid and myeloid precursors in splicing factor mutant MDS. Using RNA-seq, we determined the aberrantly spliced genes and dysregulated pathways in bone marrow CD34+ cells of a large group of 82 MDS patients. Splicing factor mutations in MDS result in different mechanistic alterations in splicing and largely affect different genes, but these converged in common dysregulated pathways and cellular processes, including RNA splicing, translation and mitochondrial dysfunction, indicating that these mutations operate through common mechanisms in MDS. Many of these dysregulated pathways and cellular processes can be linked to the known disease pathophysiology and to the phenotypes associated with splicing factor mutations in MDS, whilst several others have not been previously associated with MDS, such as sirtuin signalling. Overall design: RNA-sequencing was performed on bone marrow CD34+ hematopoeitic stem and progenitor cells from patients with myelodysplastic syndrome and healthy controls to identify differential splicing between samples with mutations in the splicing factor SF3B1, SRSF2 or U2AF1 comparative to samples from myelodysplactic syndrome patients without mutations in these splicing factors and healthy controls. Processed data for the CD34+ hematopoeitic stem and progenitor cells are available in the files: CPM_table.txt.gz, Count_table.txt.gz and TPM_table.txt.gz. RNA-sequencing was also performed on monocytic, granulocytic and erythroid precursors from the bone marrow of patients with myelodysplastic syndrome and healthy controls to identify aberrant splicing in samples with mutations in splicing factors SF3B1 and SRSF2 comparative from healthy controls. Processed data for the monocytic, granulocytic and erythroid precursors are available in the files: CPM_table_fractions.txt, Count_table_fractions.txt and TPM_table_fractions.txt.

Publication Title

Impact of spliceosome mutations on RNA splicing in myelodysplasia: dysregulated genes/pathways and clinical associations.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE1722
Cross-platform reproducibility of oligonucleotide microarray expression profiles
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Both spotted long oligonucleotide arrays (GPL1384) and Affymetrix GeneChip arrays (GPL96) were used to analyze gene expression in six human head and neck squamous cell carinoma samples versus control samples or lymph node metastases of the same patients. Hybridizations of HG-U133A GeneChip arrays were performed using standard Affymetrix protocols and equipment. Before hybridization on DKFZ Operon 27k long oligonucleotide arrays, 2 g RNA were amplified by one round of linear isothermal RNA amplification, followed by Cy-dUTP incorporation using Klenow fragment. Hybridizations were performed for 16 h at 42 C in a GeneTAC Hybridization Station (Genomic Solutions) using UltraHyb hybridization buffer (Ambion). Hybridized microarrays were scanned at 5 m resolution on a GenePix 4000B microarray scanner (Axon Instruments). Raw signal intensities from both platforms were normalized applying variance stabilization (W. Huber et al., Bioinformatics 18 Suppl 1, 2002). Expression ratios were compared for those genes represented in both array platforms.

Publication Title

Patient-based cross-platform comparison of oligonucleotide microarray expression profiles.

Sample Metadata Fields

No sample metadata fields

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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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