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accession-icon GSE26455
Transcriptome data for human induced pluripotent stem (iPS) cells and human embryonic stem (ES) cells
  • organism-icon Homo sapiens
  • sample-icon 12 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

The quantitative proteomes of human-induced pluripotent stem cells and embryonic stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE26451
Transcriptome data for human ES, FORESKIN and FORESKIN-derived iPS (ES4SKIN) cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Assessing relevant differences between human induced pluripotent stem (iPS) cells and human embryonic stem (ES) cells is important, given that such differences may impact their potential therapeutic use.

Publication Title

The quantitative proteomes of human-induced pluripotent stem cells and embryonic stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE26453
Transcriptome data for human ES, IMR90 and IMR90-derived iPS (ESIMR90) cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Assessing relevant differences between human induced pluripotent stem (iPS) cells and human embryonic stem (ES) cells is important, given that such differences may impact their potential therapeutic use.

Publication Title

The quantitative proteomes of human-induced pluripotent stem cells and embryonic stem cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE55096
Molecular Adaptations of Striatal Spiny Projection Neurons During Levodopa-Induced Dyskinesia
  • organism-icon Mus musculus
  • sample-icon 77 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

L-3,4-dihydroxyphenylalanine (levodopa) treatment is the major pharmacotherapy for Parkinson's disease. However, almost all patients receiving levodopa eventually develop debilitating involuntary movements (dyskinesia). While it is known that striatal spiny projection neurons (SPNs) are involved in the genesis of this movement disorder, the molecular basis of dyskinesia is not understood. In this study, we identify distinct cell-type-specific gene expression changes that occur in sub-classes of SPNs upon induction of a parkinsonian lesion followed by chronic levodopa treatment. We identify several hundred genes whose expression is correlated with levodopa dose, many of which are under the control of AP-1 and ERK signaling. In spite of homeostatic adaptations involving several signaling modulators, AP-1-dependent gene expression remains highly dysregulated in direct pathway SPNs (dSPNs) upon chronic levodopa treatment. We also discuss which molecular pathways are most likely to dampen abnormal dopaminoceptive signaling in spiny projection neurons, hence providing potential targets for antidyskinetic treatments in Parkinson's disease.

Publication Title

Molecular adaptations of striatal spiny projection neurons during levodopa-induced dyskinesia.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE41233
Using Blood-Informative Transcripts in Geographical Genomics: Impact of Lifestyle on Gene Expression in Fijians
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This study explores the impact of lifestyle and environment on gene expression through whole transcriptome profiling of peripheral blood samples in Fijian population (native Melanesians and Indians) living in the rural and urban areas.

Publication Title

Using blood informative transcripts in geographical genomics: impact of lifestyle on gene expression in fijians.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE10023
Maize gene expression during infection with Ustilago maydis
  • organism-icon Zea mays
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

The fungal pathogen Ustilago maydis establishes a biotrophic relationship with its host plant maize. Hallmarks of the disease are large plant tumors in which fungal proliferation occurs. Plants have developed various defense pathways to cope with pathogens. We used microarrays to detail the global programme of gene expression during the infection process of Ustilago maydis in its host plant to get insights into the defense programs and the metabolic reprogramming needed to supply the fungus with nutrients.

Publication Title

Ustilago maydis infection strongly alters organic nitrogen allocation in maize and stimulates productivity of systemic source leaves.

Sample Metadata Fields

Specimen part

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accession-icon GSE67415
Ebf1 heterozygosity results in increased DNA damage in pro-B cells and their synergistic transformation by Pax5 haploinsufficiency
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Ebf1 is a transcription factor with documented, and dose dependent, functions in both normal and malignant B-lymphocyte development. In order to understand more about the role of Ebf1 in malignant transformation, we have investigated the impact of reduced functional Ebf1 dose on early B-cell progenitors. Gene expression analysis in loss and gain of function analysis suggested that Ebf1 was involved in the regulation of genes of importance for DNA repair as well as cell survival. Investigation of the level of DNA damage in steady state as well as after induction of DNA damage by UV light supported that pro-B cells lacking one functional allele of Ebf1 display a reduced ability to repair DNA damage. This was correlated to a reduction in expression of Rad51 and combined analysis of published 4C and chromatin Immuno precipitation data suggested that this gene is a direct target for Ebf1. Even though the lack of one allele of Ebf1 did not result in any dramatic increase of tumor formation, we noted a dramatic increase in the formation of pro-B cell leukemia in mice carrying a combined heterozygote mutation in the Ebf1 and Pax5 genes. Even though the tumors were phenotypically similar and stable, we noted a large degree of molecular heterogeneity well in line with a mechanism involving impaired DNA repair. Our data support the idea that Ebf1 controls homologous DNA repair in a dose dependent manner and that this may explain the frequent involvement of Ebf1 in human leukemia

Publication Title

Ebf1 heterozygosity results in increased DNA damage in pro-B cells and their synergistic transformation by Pax5 haploinsufficiency.

Sample Metadata Fields

Specimen part, Cell line, Time

View Samples
accession-icon GSE112798
Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Samples of primary tumors collected from 23 ovarian cancer patients

Publication Title

Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy.

Sample Metadata Fields

Sex, Specimen part, Disease

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accession-icon GSE27431
miRNAs in ovarian cancer: A systems approach (MAS5, plier, GCRMA)
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MicroRNAs (miRNAs) are short (~22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. Previous studies have shown that miRNAs inhibit the translation and facilitate the degradation of their targeted mRNAs making them attractive candidates for use in cancer therapy. However, the potential clinical utility of miRNAs in cancer therapy rests heavily upon our ability to understand and accurately predict the consequences of fluctuations in levels of miRNAs within the context of complex tumor cells. To evaluate the predictive power of current models, levels of miRNAs and their targeted messenger RNAs (mRNAs) were measured in laser captured micro-dissected (LCM) ovarian cancer epithelial cells (CEPI) and compared with levels present in ovarian surface epithelial cells (OSE). We found that the predicted inverse correlation between changes in levels of miRNAs and levels of their mRNA targets held for only ~6-11% of predicted target mRNAs. Our results underscore the complexities of miRNA-mediated regulation in vivo and caution against the widespread clinical application of miRNAs and miRNA inhibitors until the basis of these complexities is more fully understood.

Publication Title

Evidence for the complexity of microRNA-mediated regulation in ovarian cancer: a systems approach.

Sample Metadata Fields

Cell line

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accession-icon GSE46880
RNA methylation destabilizes developmental regulators in murine embryonic stem cells
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st), Illumina HiSeq 2000

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

N6-methyladenosine modification destabilizes developmental regulators in embryonic stem cells.

Sample Metadata Fields

Cell line, Treatment, Time

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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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