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accession-icon SRP063455
Defining the consequences of genetic variation on a proteome-wide scale
  • organism-icon Mus musculus
  • sample-icon 348 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Genetic variation governs protein expression through both transcriptional and post-transcriptional processes. To investigate this relationship, we combined a multiplexed, mass spectrometry-based method for protein quantification with an emerging mouse model harboring extensive genetic variation from 8 founder strains. We collected genome-wide mRNA and protein profiling measurements to link genetic variation to protein expression differences in livers from 192 Diversity Outcross mice. Overall design: Illumina 100bp single-end liver RNA-seq from 192 male and female Diversity Outbred 26-week old mice raised on standard chow or high fat diet. Each sample was sequenced in 2x technical replicates across multiple flowcells. Samples were randomly assigned lanes and multiplexed at 12-24x.

Publication Title

Epistatic Networks Jointly Influence Phenotypes Related to Metabolic Disease and Gene Expression in Diversity Outbred Mice.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE27715
Gene expression profiles of germ cells, supporting cells, interstitial cells (including steroidogenic precursors), and endothelial cells in the developing testis and ovary at 11.5, 12.5, and 13.5 dpc. (GUDMAP Series ID: 43)
  • organism-icon Mus musculus
  • sample-icon 91 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The goal of this study is to determine the complete gene expression profile for each cell type of the developing gonad during the critical window in which it adopts the testis or ovarian fate.

Publication Title

Temporal transcriptional profiling of somatic and germ cells reveals biased lineage priming of sexual fate in the fetal mouse gonad.

Sample Metadata Fields

Sex

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accession-icon GSE54543
Field of Cancerization in Peripheral Airway Epithelium
  • organism-icon Homo sapiens
  • sample-icon 30 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

Molecular characterization of the peripheral airway field of cancerization in lung adenocarcinoma.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE54495
Field of Cancerization in Peripheral Airway Epithelium: Gene Expresssion
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Field of cancerization in the airway epithelium has been increasing examined to understand early pathogenesis of non-small cell lung cancer.

Publication Title

Molecular characterization of the peripheral airway field of cancerization in lung adenocarcinoma.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE42253
Gene expression data from T cells and NK cells with and without treatment with Hsp90 inhibitor (Geldanamycin)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hsp90 is critical for regulation of the phenotype and functional activity of human T lymphocytes and natural killer (NK) cells.

Publication Title

Heat shock protein 90 is critical for regulation of phenotype and functional activity of human T lymphocytes and NK cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP159173
PatchSeq analysis of Pthlh expressing cells of the mouse dorsolateral striatum
  • organism-icon Mus musculus
  • sample-icon 92 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In order to investigate how electrophysiological properties vary within the Pthlh population in the dorsolateral striatum we performed PatchSeq analysis of neurons labeled in 5HT3a(EGFP) and Pvalb(cre)::RCE/tdTomato mouse lines, which included Th, Npy/Mia, Cck, and Cck/Vip expressing cells. Overall design: 98 FACS-sorted single cells isolated from the dorso-lateral striatum from either a 5ht3a-EGFP mouse line or a Lhx6-cre mouse crossed onto a R26R-tdTomato reporter mouse line

Publication Title

Diversity of Interneurons in the Dorsal Striatum Revealed by Single-Cell RNA Sequencing and PatchSeq.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE16728
Characterization of whole blood gene expression profiles in sickle-cell disease patients using globin mRNA reduction
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Room temperature whole blood mRNA stabilization procedures, such as the PAX gene system, are critical for the application of transcriptional analysis to population-based clinical studies. Global transcriptome analysis of whole blood RNA using microarrays has proven to be challenging due to the high abundance of globin transcripts that constitute 70% of whole blood mRNA in the blood. This is a particular problem in patients with sickle-cell disease, secondary to the high abundance of globin-expressing nucleated red blood cells and reticulocytes in the circulation . In order to more accurately measure the steady state whole blood transcriptome in sickle-cell patients, we evaluated the efficacy of reducing globin transcripts in PAXgene stabilized RNA samples for genome-wide transcriptome analyses using oligonucleotide arrays. We demonstrate here by both microarrays and Q-PCR that the globin mRNA depletion method resulted in 55-65 fold reduction in globin transcripts in whole blood collected from healthy volunteers and sickle-cell disease patients. This led to an improvement in microarray data quality with increased detection rate of expressed genes and improved overlap with the expression signatures of isolated peripheral blood mononuclear (PBMC) preparations. The differentially modulated genes from the globin depleted samples had a higher correlation coefficient to the 112 genes identified to be significantly altered in our previous study on sickle-cell disease using PBMC preparations. Additionally, the analysis of differences between the whole blood transcriptome and PBMC transcriptome reveals important erythrocyte genes that participate in sickle-cell pathogenesis and compensation. The combination of globin mRNA reduction after whole-blood RNA stabilization represents a robust clinical research methodology for the discovery of biomarkers for hematologic diseases and in multicenter clinical trials investigating a wide range of nonhematologic disorders where fractionation of cell types is impracticable.

Publication Title

Characterization of whole blood gene expression profiles as a sequel to globin mRNA reduction in patients with sickle cell disease.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP100521
Single-Cell RNA-seq study of E13.5 and P7 brain and Spinal Cord Pdgfra-GFP positive samples during development in Mice.
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In order to elucidate the developmental origin of oligodendrocyte precursor cells (OPCs) and get a better understanding of the several waves of OPC generation, we look at several timepoints and perform single-cell RNA-seq on Pdgfra positive populations in Mice. Overall design: Mice line used in this study included Pdgfra-cre-ERT/RCE and the Pdgfra-H2BGFP knock-in mouse. Embryos at embryonic day 13.5 and pups from post-natal day 7, from both genders of the Pdgfra-GFP mice line were used to extract OPCs, as well as E12.5 and P3 tamoxifen injected mice harvested at P7. The single cell suspension from embryonic and post-natal tissue was FACS sorted for GFP positive cells using a BD FACSAria III Cell Sorter B5/R3/V3 system.

Publication Title

Transcriptional Convergence of Oligodendrocyte Lineage Progenitors during Development.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE30169
Expression of human aortic endothelial cells treated with or without oxidized phospholipids (II)
  • organism-icon Homo sapiens
  • sample-icon 628 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Oxidized phospoholipids are a pro-inflammatory component of minimally modified lipoproteins that get trapped in the subendothelial space of atherosclerotic plaques of large arteries. To model the response of endothelial cells in a pro-atherosclerotic enviroment we measured the expression in primary endothelial cells with and without treatment with oxidized phsopolipids from 96 genetically identical donors of anonymous origin.

Publication Title

Network for activation of human endothelial cells by oxidized phospholipids: a critical role of heme oxygenase 1.

Sample Metadata Fields

Sex, Subject

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accession-icon SRP155526
Reprogram-Seq: A platform for single-cell combinatorial reprogramming [I]
  • organism-icon Mus musculus
  • sample-icon 49 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Reprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq.

Publication Title

Rational Reprogramming of Cellular States by Combinatorial Perturbation.

Sample Metadata Fields

Specimen part, Subject

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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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