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accession-icon GSE27175
Formalin Fixation at Low Temperature Better Preserves Nucleic Acid Integrity
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

INTRODUCTION. Fixation with formalin, a widely adopted procedure to preserve tissue samples, leads to extensive degradation of nucleic acids and thereby compromises procedures like microarray-based gene expression profiling. We hypothesized that RNA fragmentation is caused by activation of RNAses during the interval between formalin penetration and tissue fixation. To prevent RNAse activation, a series of tissue samples were kept under-vacuum at 4C until fixation and then fixed at 4C, for 24 hours, in formalin followed by 4 hours in ethanol 95%.

Publication Title

Formalin fixation at low temperature better preserves nucleic acid integrity.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE97
Large-scale analysis of the mouse transcriptome
  • organism-icon Mus musculus
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Array (mgu74a)

Description

High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://biogps.gnf.org) that integrates data visualization and curation of current gene annotations.

Publication Title

Large-scale analysis of the human and mouse transcriptomes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE96
Large-scale analysis of the human transcriptome
  • organism-icon Homo sapiens
  • sample-icon 85 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://expression.gnf.org) that integrates data visualization and curation of current gene annotations.

Publication Title

Large-scale analysis of the human and mouse transcriptomes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE34011
Expression data from mouse intestine: BALB/c MTHFR+/+ on control diet vs BALB/c MTHFR+/- on folate deficient diet
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Previous studies in our laboratory have shown that low folate diet (control diet with 2mg folate/kg, low folate diet with 0.3mg folate/kg) can induce intestinal tumors in BALB/c mice.

Publication Title

Genes with aberrant expression in murine preneoplastic intestine show epigenetic and expression changes in normal mucosa of colon cancer patients.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE63665
Expression data from Burkitt Lymphoma cell lines followed by expression or inhibition of ebv-BART6-3p microRNA
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Epstein-Barr virus is associated with several human malignancies, including Burkitt Lymnphoma. The virus encodes more than 40 microRNAs, which participate in its possible pathogenetic role.

Publication Title

Molecular signature of Epstein Barr virus-positive Burkitt lymphoma and post-transplant lymphoproliferative disorder suggest different roles for Epstein Barr virus.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP186005
Measuring the influence of RNA binding proteins on A-to-I RNA editing in the Drosophila brain
  • organism-icon Drosophila melanogaster
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

A-to-I RNA editing levels differ across tissues and cell types, but regulators of the editing process are largely unknown. We used RNA-seq on whole fly brains with different RNA binding proteins knocked down to test for A-to-I RNA editing level differences between controls and knockdowns. Overall design: To screen for editing regulators in the Drosophila brain, we crossed a pan-neuronal Gal4 driver, C155-Gal4, to different UAS-shRNA lines targeting individual RNA binding proteins, extracted RNA and made RNA-seq libraries. We sequenced four total replicates of shGFP controls and two replicates of all RNA binding protein knockdowns.

Publication Title

Zinc Finger RNA-Binding Protein Zn72D Regulates ADAR-Mediated RNA Editing in Neurons.

Sample Metadata Fields

Sex, Specimen part, Subject

View Samples
accession-icon SRP142610
Measuring A-to-I RNA editing and gene expression signatures of neuronal populations within the Drosophila brain
  • organism-icon Drosophila melanogaster
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We used an improved INTACT (Isolation of Nuclei Tagged in A specific Cell Type) technique to isolate RNA from purified nuclei from different neuronal populations of the Drosophila brain. Using RNA-seq, we determined gene expression and A-to-I RNA editing levels at editing sites across nine distinct neuronal sub-populations and a pan-neuronal control. Overall design: We crossed UAS-unc84-2XGFP transgenic flies with 10 different GAL4 drivers (Dh44-GAL4, NPF-GAL4, NPFR-GAL4, Tdc2-GAL4, Crz-GALl4, TH-GAL4, Trh-GAL4, Fru-GAL4, OK107-GAL4, and elav-GAL4), immunoprecipitated tagged nuclei and extracted RNA. Three independent replicates of each each cross were performed to isolate RNA for RNA-sequencing.

Publication Title

Illuminating spatial A-to-I RNA editing signatures within the <i>Drosophila</i> brain.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE26673
Expression data from Burkitt lymphoma cases
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Burkitt lymphoma is the commonest cancer in children in Africa. We compared the gene expression profiles of African Burkitt lymphoma patients with those of cases presented in Western countries in both immunocompetent (sporadic Burkitt lymphoma) and HIV-infected patients (immunodeficiency associated Burkitt lymphoma).

Publication Title

Gene expression analysis uncovers similarity and differences among Burkitt lymphoma subtypes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE53633
Platelet-derived growth factor alpha mediates the proliferation of peripheral T-cell lymphoma cells via an autocrine regulatory pathway
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of the determinants of PDGFRA activity in PTCL/NOS (Peripheral T-cell lymphoma/not otherwise specified) and to elucidate the biological consequences of its activation.

Publication Title

Platelet-derived growth factor alpha mediates the proliferation of peripheral T-cell lymphoma cells via an autocrine regulatory pathway.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE17449
Transcription signature of Multiple Sclerosis
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Learning from nature: pregnancy changes the expression of inflammation-related genes in patients with multiple sclerosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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)

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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