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accession-icon GSE40117
Analyses of transcriptomic responses generated by hepatocarcinogens in a battery of liver-based in vitro models
  • organism-icon Homo sapiens, Rattus norvegicus
  • sample-icon 543 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

For assessing the cancer-causing potential for humans of a chemical compound, the conventional approach is the use of the 2-year rodent carcinogenicity bioassay, thus alternatives such as in vitro toxicogenomics are highly desired. In the present study, the transcriptomics responses following exposure to genotoxic (GTX) and non-genotoxic (NGTX) hepatocarcinogens and non-carcinogens (NC) in five liver-based in vitro models, namely conventional and epigenetically-stabilized cultures of primary rat hepatocytes, the human hepatoma-derived HepaRG and HepG2 cell lines and the human embryonic stem cell-derived hepatocyte-like cells hES-Heps are examined and compared.

Publication Title

Transcriptomic responses generated by hepatocarcinogens in a battery of liver-based in vitro models.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE48990
Evaluation of the robustness of classification of carcinogen-modified transcriptomic responses in HepaRG cells and the interlaboratory reproducibility of the model
  • organism-icon Homo sapiens
  • sample-icon 357 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Efforts to develop alternatives which can at least partially replace some of the currently used in vivo tests are ongoing. The recently ended FP6 European project carcinoGENOMICS had the goal to use the combination of toxicogenomics and in vitro cell culture models for identification of genotoxic- and non-genotoxic carcinogen-specific gene signatures. In this study is presented a part of the outcome of the project and in particular the performance of the gene classifier derived after exposure of the HepaRG cell line to prototypical hepatocarcinogens. Upon analyzing the data at a gene and a pathway level by using diverse biostatistical approaches, a clear-cut separation of the genotoxic from the non-genotoxic hepatocarcinogens and non-carcinogens was achieved (up to 88% correct prediction). The most characteristic pathway for genotoxic exposure was DNA damage. Further to show the robustness of the HepaRG model, the interlaboratory reproducibility of 3 blindly tested compounds was assessed. The results showed between 20% and 35% reproducibility. The subsequent classification of the 3 blindly tested compounds resulted in correct prediction of the genotoxicant, whereas the other two compounds were misclassified. In conclusion, the combination of transcriptomics and HepaRG in vitro cell model provides a solid basis for the detection of the genotoxic potential of unknown chemicals.

Publication Title

No associated publication

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE36524
Comparison of hepatocarcinogen-induced gene expression profiles in conventional primary rat hepatocytes with in vivo rat liver
  • organism-icon Rattus norvegicus
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

At present, substantial efforts are focused on the development of in vitro assays coupled with omics technologies for the identification of carcinogenic substances as an alternative to the classical 2-year rodent carcinogenicity bioassay. A prerequisite for the eventual regulatory acceptance of such assays, however, is the in vivo relevance of the observed in vitro findings.

Publication Title

Comparison of hepatocarcinogen-induced gene expression profiles in conventional primary rat hepatocytes with in vivo rat liver.

Sample Metadata Fields

Specimen part

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accession-icon GSE152494
Robustness testing and optimization of an adverse outcome pathway on cholestatic liver injury
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to provide a transcriptomic signature of different types of cholestasis evoked by 3 different drugs and obstructive surgery

Publication Title

Robustness testing and optimization of an adverse outcome pathway on cholestatic liver injury.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE48757
Pro-inflammatory stimulation of human skin-derived precursor cells modulates several of their immunology-related pathways.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human skin-derived precursor cells (hSKP) are a stem cell population that represents key candidates for cell based-therapy. Inflammation, however, is often present in situations where cellular replacement therapy is required. These inflammatory conditions, and more specifically the presence of the cytokine interferon (IFN)-, might result in an increase of MHC class II antigens in hSKP-derived grafts and facilitate their rejection.

Publication Title

Human skin-derived precursor cells are poorly immunogenic and modulate the allogeneic immune response.

Sample Metadata Fields

Sex, Age, 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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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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