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accession-icon GSE68110
Trancriptional profiling of rat liver after short-term (up tp 14 days) administration of carcinogenic and non-carcinogenic chemicals
  • organism-icon Rattus norvegicus
  • sample-icon 418 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

The carcinogenic potential of chemicals is currently evaluated with rodent life-time bioassays, which are time consuming, and expensive with respect to cost, number of animals and amount of compound required. Since the results of these 2-year bioassays are not known until quite late during development of new chemical entities, and since the short-term test battery to test for genotoxicity, a characteristic of genotoxic carcinogens, is hampered by low specificity, the identification of early biomarkers for carcinogenicity would be a big step forward. Using gene expression profiles from the livers of rats treated up to 14 days with genotoxic and non-genotoxic carcinogens we previously identified characteristic gene expression profiles for these two groups of carcinogens. We have now added expression profiles from further hepatocarcinogens and from non-carcinogens the latter serving as control profiles. We used these profiles to extract biomarkers discriminating genotoxic from non-genotoxic carcinogens and to calculate classifiers based on the support vector machine (SVM) algorithm. These classifiers then predicted a set of independent validation compound profiles with up to 88% accuracy, depending on the marker gene set. We would like to present this study as proof of the concept that a classification of carcinogens based on short-term studies may be feasible.

Publication Title

Cross-platform toxicogenomics for the prediction of non-genotoxic hepatocarcinogenesis in rat.

Sample Metadata Fields

Specimen part

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accession-icon GSE53085
Cross-platform toxicogenomics for the prediction of nongenotoxic hepatocarcinogenesis in rat
  • organism-icon Rattus norvegicus
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cross-platform toxicogenomics for the prediction of non-genotoxic hepatocarcinogenesis in rat.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE53082
Cross-platform toxicogenomics for the prediction of nongenotoxic hepatocarcinogenesis in rat (mRNA)
  • organism-icon Rattus norvegicus
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

In this study we performed microarray-based molecular profiling of liver samples from Wistar rats exposed to genotoxic carcinogens (GC), nongenotoxic carcinogens (NGC) or non-hepatocarcinogens (NC) for up to 14 days. In contrast to previous toxicogenomics studies aimed at the inference of molecular signatures for assessing the potential and mode of compound carcinogenicity, we considered multi-level omics data. Besides evaluating the predictive power of signatures observed on individual biological levels, such as mRNA, miRNA and protein expression, we also introduced novel feature representations which capture putative molecular interactions or pathway alterations by integrating expression profiles across platforms interrogating different biological levels.

Publication Title

Cross-platform toxicogenomics for the prediction of non-genotoxic hepatocarcinogenesis in rat.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP194185
comparative RNA-seq analysis of murine lung infected with A.fumigatus
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report the application of RNA-seq analysis for high-throughput profiling of murine lungs infected with Aspergillus fumigatus. We compared the lung transcription of wildtype murine lungs and lungs from mice deficient in metabolic cytokine adiponectin. Overall design: Examination of 2 different mice strain and comparison of lung transcripts in response to Aspergillus fumigatus infection.

Publication Title

The Metabolic Cytokine Adiponectin Inhibits Inflammatory Lung Pathology in Invasive Aspergillosis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE41524
Gene expression in Dupuytren's disease
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Dupuytren's disease (DD) is a classic example of pathological fibrosis which results in a debilitating disorder affecting a large sector of the human population. It is characterized by excessive local proliferation of fibroblasts and over-production of collagen and other components of the extracellular matrix (ECM) in the palmar fascia. The fibrosis progressively results in contracture of elements between the palmar fascia and skin causing flexion deformity or clawing of the fingers and a severe reduction in hand function. While much is known about the pathogenesis and surgical treatment of DD, little is known about the factors that cause its onset and progression, despite many years of research. Gene expression patterns in DD patients now offers the potential to identify genes that direct the pathogenesis of DD.

Publication Title

Genome-wide analysis using exon arrays demonstrates an important role for expression of extra-cellular matrix, fibrotic control and tissue remodelling genes in Dupuytren's disease.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE38222
Stau2 RIP-Chip in Mouse E13-14 Cortex
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The double-stranded RNA binding protein Staufen2 (Stau2) is asymmetrically localized and segregated during asymmetric cell divisions in the developing mouse cortex and promotes intermediate progenitor cell fate.

Publication Title

Asymmetric segregation of the double-stranded RNA binding protein Staufen2 during mammalian neural stem cell divisions promotes lineage progression.

Sample Metadata Fields

Specimen part

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accession-icon SRP108282
Reduced circulating insulin enhances insulin sensitivity in old mice and extends lifespan
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The causal relationships between insulin levels, insulin resistance, and longevity are not fully elucidated. Genetic down-regulation of insulin/insulin-like growth factor 1 (Igf1) signaling components can extend invertebrate and mammalian lifespan, but insulin resistance, a natural form of decreased insulin signaling, is associated with greater risk of age-related disease in mammals. We compared Ins2+/- mice to Ins2+/+ littermate controls, on a genetically stable Ins1-null background. Proteomic and transcriptomic analyses of livers from 25 week-old mice suggested potential for healthier aging and altered insulin sensitivity in Ins2+/- mice. Halving Ins2 lowered circulating insulin by 25-34% in aged female mice, without altering Igf1 or circulating Igf1. Remarkably, decreased insulin led to lower fasting glucose and improved insulin sensitivity in aged mice. Moreover, lowered insulin caused significant lifespan extension, observed across two diverse diets. Our study indicates that elevated insulin contributes to age-dependent insulin resistance, and that limiting basal insulin levels can extend lifespan. Overall design: RNAsequencing expression profiles of livers and triceps surae hindlimb muscle from 25 week-old Ins1-/-;Ins2+/- and Ins1-/-;Ins2+/+ littermate control mice on one of two different diets (Diet A and B)

Publication Title

Reduced Circulating Insulin Enhances Insulin Sensitivity in Old Mice and Extends Lifespan.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon SRP094572
Expression data for hiPSC-derived RPE treated with 10mM Nicotinamide or vehicle
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We did the RNA-seq analysis to examine the global impact of Nicotinamide (NAM) on hiPSC-derived RPE transcriptome in order to better understand the mechanism of action of NAM. NAM inhibited the expression of Age related Macular degeneration (AMD) associated protein transcripts in hiPSC-derived RPE. Overall design: Seven hiPSC-RPE lines (4 AMD donors and 3 Control donors) that had been cultured with 10mM NAM or vehicle for three weeks were used for RNA extraction and RNA-seq analysis. We treated 4 AMD hiPSC-RPE and 3 Control hiPSC-RPE lines with 10mM NAM or vehicle.

Publication Title

Nicotinamide Ameliorates Disease Phenotypes in a Human iPSC Model of Age-Related Macular Degeneration.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Treatment, Subject

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accession-icon GSE56492
Identification of targets regulated by MLL1 in response to HSP90 inhibitors
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

MLL1 WT or KO MEF with and without HSP90 inhibitor treatment

Publication Title

Identification of mixed lineage leukemia 1(MLL1) protein as a coactivator of heat shock factor 1(HSF1) protein in response to heat shock protein 90 (HSP90) inhibition.

Sample Metadata Fields

Treatment

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accession-icon GSE51358
Metabolic programs orchestrated by the activated Ha-ras and -catenin oncoproteins in mouse liver tumors
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Ha-ras and β-catenin oncoproteins orchestrate metabolic programs in mouse liver tumors.

Sample Metadata Fields

Sex, Specimen part

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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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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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