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accession-icon GSE61930
SaOS-2 transfected with CD99 in differentiation medium for 14 days
  • organism-icon Homo sapiens
  • sample-icon 12 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

Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model.

Sample Metadata Fields

Specimen part, Cell line, Time

View Samples
accession-icon GSE61928
SaOS-2 transfected with CD99 in differentiation medium for 14 days [total RNA]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We explored the transcriptional modification induced by CD99 transfection in the osteosarcoma cell lines SaOS-2 after 0, 7 and 14 days in differentiation medium.

Publication Title

Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model.

Sample Metadata Fields

Specimen part, Cell line, Time

View Samples
accession-icon GSE11190
Interferon signaling and treatment outcome in chronic hepatitis C
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hepatitis C virus (HCV) infection is a major cause of chronic liver disease worldwide. The current standard therapy for chronic hepatitis C (CHC) consists of a combination of pegylated IFN alpha (pegIFN-alpha) and ribavirin. It achieves a sustained viral clearance in only 5060% of patients. To learn more about molecular mechanisms underlying treatment failure, we investigated IFN-induced signaling in paired liver biopsies collected from CHC patients before and after administration of pegIFN-alpha. In patients with a rapid virological response to treatment, pegIFN-alpha induced a strong up-regulation of IFN-stimulated genes (ISGs). As shown previously, nonresponders had high expression levels of ISGs before therapy. Analysis of posttreatment biopsies of these patients revealed that pegIFN-alpha did not induce expression of ISGs above the pretreatment levels. In accordance with ISG expression data, phosphorylation, DNA binding, and nuclear localization of STAT1 indicated that the IFN signaling pathway in nonresponsive patients is preactivated and refractory to further stimulation. Some features characteristic of nonresponders were more accentuated in patients infected with HCV genotypes 1 and 4 compared with genotypes 2 and 3, providing a possible explanation for the poor response of the former group to therapy. Taken together with previous findings, our data support the concept that activation of the endogenous IFN system in CHC not only is ineffective in clearing the infection but also may impede the response to therapy, most likely by inducing a refractory state of the IFN signaling pathway.

Publication Title

Interferon signaling and treatment outcome in chronic hepatitis C.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE57655
Gene expression profiling of Notch1 knockout mouse liver samples and murine hepatic angiosarcoma cell lines.
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This work is part of the paper: Generation of a murine hepatic angiosarcoma cell line and reproducible mouse tumor model, Rothweiler S et al, Laboratory Investigation, 2014

Publication Title

Generation of a murine hepatic angiosarcoma cell line and reproducible mouse tumor model.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE64041
Gene expression profiling in paired human hepatocellular carcinoma and liver parenchyma biopsies and normal liver biopsies.
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Hepatocellular carcinoma (HCC) is a heterogeneous disease, and despite considerable research efforts, no molecular classification of HCC has been introduced in clinical practice. The existing molecular classification systems were established using resected tumors, which introduces a selection bias towards patients without liver cirrhosis and with early stage HCCs. So far, these classification systems have not been validated in liver biopsy specimens from tumors diagnosed at intermediate and late stages. We generated and analyzed expression profiles from 60 HCC biopsies from an unselected patient population with all tumor stages. Unbiased clustering identified 3 HCC classes. Class membership correlated with survival, tumor size, and with Edmondson and BCLC stage. Most biopsy specimens could be assigned to the classes of published classification systems, demonstrating that gene expression profiles obtained from patients with early stage disease are preserved in all stages of HCC. When a reference set of healthy liver samples was integrated in the analysis, we observed that the differentially regulated genes up- or down-regulated in a given class relative to other classes were actually dysregulated in the same direction in all HCCs, with quantitative rather than qualitative differences between the molecular subclasses. With the exception of a subset of samples with a definitive -catenin gene signature, biological pathway analysis could not identify class specific pathways reflecting the activation of distinct oncogenic programs. Our results suggest that gene expression profiling of HCC biopsies has limited potential to direct therapies that target specific driver pathways, but can identify subgroups of patients with different prognosis.

Publication Title

Gene expression analysis of biopsy samples reveals critical limitations of transcriptome-based molecular classifications of hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE38598
Hepatocytes treated with IFN-alpha or IFN-gamma and acute hepatitis C
  • 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

Interferon-γ-stimulated genes, but not USP18, are expressed in livers of patients with acute hepatitis C.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject, Time

View Samples
accession-icon GSE38147
Gene expression profiling of primary human hepatocytes treated with IFN-alpha or IFN-gamma
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Approximately 50% of patients with chronic hepatitis C (CHC) have a sustained virologic response (SVR) to treatment with pegylated interferon (pegINF)- and ribavirin. Non-response to treatment is associated with constitutively increased expression of IFN-stimulated genes (ISGs) in the liver. Treatment of patients with acute hepatitis C (AHC) is more effective, with SVR rates >90%. We investigated mechanisms of the different responses of patients with CHC and AHC to pegIFN- therapy. We analyzed IFN signaling and ISG expression in liver samples from patients with acute hepatitis C (AHC), patients with chronic hepatitis (CHC), and individuals without hepatitis C (controls) using microarray, immunohistochemical, and protein analyses. Findings were compared with those from primary human hepatocytes stimulated with IFN- or IFN-, as reference sets. Expression levels of 100s of genes, primarily those regulated by IFN-, were altered in liver samples from patients with AHC compared with controls. Expression of IFN-stimulated genes was induced in liver samples from patients with AHC, whereas expression of IFN-stimulated genes was induced in samples from patients with CHC. In an expression analysis of negative regulators of IFN- signaling, we did not observe differences in expression of SOCS1 or SOCS3 between liver samples from patients with AHC and those with CHC. However, USP18 (another negative regulator of IFN- signaling), was upregulated in liver samples of patients with CHC that did not respond to therapy, but not in AHC. In conclusion, differences in expression of ISGs might account for the greater response of patients with AHC, compared to those with CHC, to treatment with pegINF- and ribavirin. Specifically, USP18 is upregulated in liver samples of patients with CHC that do not respond to therapy, but not in patients with AHC.

Publication Title

Interferon-γ-stimulated genes, but not USP18, are expressed in livers of patients with acute hepatitis C.

Sample Metadata Fields

Specimen part, Treatment, Subject, Time

View Samples
accession-icon GSE38597
Gene expression profiling of 6 acute hepatitis C patients
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Approximately 50% of patients with chronic hepatitis C (CHC) have a sustained virologic response (SVR) to treatment with pegylated interferon (pegINF)- and ribavirin. Non-response to treatment is associated with constitutively increased expression of IFN-stimulated genes (ISGs) in the liver. Treatment of patients with acute hepatitis C (AHC) is more effective, with SVR rates >90%. We investigated mechanisms of the different responses of patients with CHC and AHC to pegIFN- therapy. We analyzed IFN signaling and ISG expression in liver samples from patients with acute hepatitis C (AHC), patients with chronic hepatitis (CHC), and individuals without hepatitis C (controls) using microarray, immunohistochemical, and protein analyses. Findings were compared with those from primary human hepatocytes stimulated with IFN- or IFN-, as reference sets. Expression levels of 100s of genes, primarily those regulated by IFN-, were altered in liver samples from patients with AHC compared with controls. Expression of IFN-stimulated genes was induced in liver samples from patients with AHC, whereas expression of IFN-stimulated genes was induced in samples from patients with CHC. In an expression analysis of negative regulators of IFN- signaling, we did not observe differences in expression of SOCS1 or SOCS3 between liver samples from patients with AHC and those with CHC. However, USP18 (another negative regulator of IFN- signaling), was upregulated in liver samples of patients with CHC that did not respond to therapy, but not in AHC. In conclusion, differences in expression of ISGs might account for the greater response of patients with AHC, compared to those with CHC, to treatment with pegINF- and ribavirin. Specifically, USP18 is upregulated in liver samples of patients with CHC that do not respond to therapy, but not in patients with AHC.

Publication Title

Interferon-γ-stimulated genes, but not USP18, are expressed in livers of patients with acute hepatitis C.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE48445
Gene expression profiling of liver biopsies from 21 chronic hepatitis C patients undergoing antiviral therapy
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Pegylated interferon- (pegIFN-) has replaced un-modified recombinant IFN- for the treatment of chronic viral hepatitis because of its superior anti-viral efficacy that is generally attributed to improved pharmacokinetic properties. However, the pharmacodynamic effects of pegIFN- in the liver have not been studied. We analyzed pegIFN- induced signaling and gene regulation in paired liver biopsies obtained before treatment and during the first week after injection of pegIFN- in 18 patients. Despite sustained high serum concentrations of pegIFN- over the entire one-week dosing interval, IFN- signaling through the Jak-STAT pathway occurs only during the first day. PegIFN- induces hundreds of genes that can be classified into 4 clusters based on different temporal expression profiles. In all clusters, gene transcription is mainly driven by IFN stimulated gene factor 3 (ISGF3). IFN induced secondary transcription factors do not cause additional waves of gene expression. We could not confirm a role of un-phosphorylated STAT1 in prolonging IFN- induced gene transcription. Collectively, our results reveal that the major effects of pegIFN- in the liver are caused by an early and transient activation of ISGF3. Prolonging the serum half-life of IFN- does not necessarily improve its pharmacodynamic properties.

Publication Title

Pegylated IFN-α regulates hepatic gene expression through transient Jak/STAT activation.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject, Time

View Samples
accession-icon SRP040328
Parallel T-cell cloning and deep sequencing of the transcripts of human MAIT cells reveal stable oligoclonal TCRß repertoire
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Mucosal-associated invariant T (MAIT) cells are abundant in humans and recognize conserved bacterial antigens derived from riboflavin precursors, presented by the non-polymorphic MHC class I-like molecule MR1. Here, we show via transcriptomic analysis that human MAIT cells are remarkably oligoclonal in both blood and liver, display high inter-individual homology, and exhibit a restricted length CDR3ß domain of the TCRVß chain. We extend this analysis to a second sub-population of MAIT cells expressing a semi-invariant TCR conserved between individuals. Overall design: Study of CDR3 regions of TCRalpha and beta sequences

Publication Title

Parallel T-cell cloning and deep sequencing of human MAIT cells reveal stable oligoclonal TCRβ repertoire.

Sample Metadata Fields

No sample metadata fields

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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