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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

View Samples
accession-icon GSE14280
Comparison of CD4+ T cell function between HIV-1 resistant and HIV-1 susceptible individuals
  • organism-icon Homo sapiens
  • sample-icon 18 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

HIV‐exposed seronegative commercial sex workers show a quiescent phenotype in the CD4+ T cell compartment and reduced expression of HIV‐dependent host factors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14278
Comparison of CD4+ T cell function between HIV-1 resistant and HIV-1 susceptible individuals (Affymetrix)
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Understanding why some indidivual resist HIV-1 infection despite continued exposure is an important goal for vaccine development.

Publication Title

HIV‐exposed seronegative commercial sex workers show a quiescent phenotype in the CD4+ T cell compartment and reduced expression of HIV‐dependent host factors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP059824
An essential role for the Gai2 protein in Smoothened-stimulated mammary epithelial cell proliferation
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Hedgehog (Hh) signaling is critical for organogenesis, tissue homeostasis, and stem cell maintenance. Smoothened (SMO), the primary effector of Hh signaling, is expressed ectopically in human breast cancer, as well as in other cancers. Constitutive activation of SMO in mouse mammary glands leads to paracrine stimulation of proliferation, as well as hyperplasia. In canonical signaling, SMO functions via GLI transcription factor activation. However, recent data from Drosophila and mammalian cell lines indicate that SMO can function non-canonically as a G-protein coupled receptor (GPCR) by coupling to heterotrimeric G proteins, particularly those in the pertussis toxin (PTX)-sensitive G-alpha-i (Gai) class. Whether SMO functions as a GPCR in mammalian tissues in vivo is not known. Using genetically modified mouse models, we demonstrate here that SMO-induced stimulation of proliferation is PTX sensitive, and requires Gai2, but not Gai1 or Gai3. Our findings provide evidence for a non-canonical GPCR function of activated SMO in vivo, a finding that may have clinical significance given that most SMO-targeted agents were selected based largely on their ability to block canonical GLI-mediated transcription. Overall design: Primary mammary epithelial cell RNA was deep-sequenced from mT-mG/SmoM2;MMTV-Cre (EGFP), mT-mG/SmoM2;MMTV-Cre (tdTomato), and mT-mG/SmoM2;+ cells to examine the effects of SmoM2 overexpression in the mammary gland.

Publication Title

An essential role for Gα(i2) in Smoothened-stimulated epithelial cell proliferation in the mammary gland.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE33580
Expression data from HIV exposed and uninfected women
  • organism-icon Homo sapiens
  • sample-icon 81 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We carried out a global whole blood genome wide expression profiling of HIV exposed and uninfected women from Nairobi to identify host factors which may be a key contribution to HIV resistance phenomenon.

Publication Title

Microarray analysis of HIV resistant female sex workers reveal a gene expression signature pattern reminiscent of a lowered immune activation state.

Sample Metadata Fields

Specimen part

View Samples
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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accession-icon GSE51355
Metabolic programs orchestrated by the activated Ha-ras and -catenin oncoproteins in mouse liver tumors [mRNA]
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The process of hepatocarcinogenesis in the diethylnitrosamine (DEN) initiation/phenobarbital (PB) promotion mouse model involves the selective clonal outgrowth of cells harboring oncogene mutations in Ha-ras, B-raf, or Ctnnb1. Here, we have characterized mouse liver tumors harboring either Ctnnb1 or Ha-ras mutations via integrated molecular profiling at the transcriptional and translational and post-translational levels. In addition, metabolites of the intermediary metabolism were quantified by high resultion 1H magic angle nuclear magnetic resonance (HR-MAS NMR). We have identified tumor characteristic genotype-specific differences in mRNA and miRNA expression, protein levels, and post-translational modifications and in metabolite levels that facilitate the molecular and biochemical stratification of tumor phenotypes. Bioinformatic integration of these data at the pathway level led to novel insights into tumor genotype-specific aberrant cell signaling and in particular to a better understanding of alterations in pathways of the cell intermediary metabolism, which are driven by the constitutive activation of the -Catenin and Ha-ras oncoproteins in tumors of the two genotypes.

Publication Title

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

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE34779
A cross platform genome wide comparison of the relationship of promoter DNA methylation to gene expression
  • organism-icon Homo sapiens
  • sample-icon 8 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

A cross-platform genome-wide comparison of the relationship of promoter DNA methylation to gene expression.

Sample Metadata Fields

Specimen part, Subject

View Samples
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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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